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Raman Tutorial Kaiser Optical Systems, Inc.
This manual is intended for the use of Kaiser Optical Systems, Inc. customers. No part of this manual may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or information storage and retrieval systems, for any purpose other than the purchaser's personal use, without the express written permission of Kaiser Optical Systems, Inc. Ó 1998 Kaiser Optical Systems, Inc. All rights reserved. Printed in the United States of America Holographic Notch Filter and SuperNotch Filter are registered trademarks, and HoloLab 1000, HoloSpec, HoloPlex, HoloProbe, HoloGRAMS, Volume Phase Technology, Notch-Plus, and Super Notch-Plus are all trademarks of Kaiser Optical Systems, Inc. GRAMS/32 is a trademark of the Galactic Industries Corporation. Windows and Windows 95 are trademarks of the Microsoft Corporation.
T1.1 The Raman Effect and Normal Raman Scattering T1- T1.2 Resonance-Enhanced Raman Scattering T1- T1.3 Surface-Enhanced Raman Scattering T1- T2 The Modern Raman Instrument T2- T2.1 Holographic Optics T2- T2.2 The Axial Transmissive Spectrograph T2- T2.3 Low Power Lasers: HeNe and Solid State Systems T2- T2.4 Charge Coupled Devices T2- T3 Applications of Raman Spectroscopy T3- T3.1 Identification of Unknown Materials T3- T3.2 Inorganic Materials Characterization T3- T3.3 Polymer Characterization T3- T3.4 Biochemical and Biomedical Applications T3- T4.1 The Classical 90° Geometry T4- T4.2 Fiber Optic Probes T4- T4.3 The Raman Microprobe T4- T4.4 Specialized Sampling Techniques T4- T5 Practical Considerations T5- T5.1 Fluorescence and Laser Wavelength Choice T5- T5.2 Calibration Techniques T5- T5.3 Correction for Instrument Response T5- T5.4 Solution Handling Techniques T5- T6.1 Special Data Analysis T6- T6.2 Normal and Resonance-Enhanced Raman Spectroscopy of Foodstuffs T6- T6.3 Thermodynamics of Hydrogen Bonding in a Benzoic Acid Solution. Raman Thermometry T6- T6.4 Crystal Lattice Modes and Bonding Differences in Graphite and Diamond T6- T6.5 Surface Enhanced Raman Spectroscopy of Pyridine on Silver Colloids T6-
Figure T1.1 Energy level diagram for Raman scattering; (a) Stokes Raman scattering (b) anti-Stokes Raman scattering. T1-4 Figure T2.1 Simple illustration of Bragg diffraction using tilted grating, one order evanescent. T2-4 Figure T2.2 Sketch showing how a HoloPlex grating is constructed. T2-6 Figure T2.3 Transmission curve for a Holographic 785 SuperNotch Plus filter. T2-7 Figure T2.4 Volume hologram fabrication: (a) notch filter, and (b) transmission grating. T2-9 Figure T2.5 A basic diagram of the dispersion stage of the axial transmissive spectrograph, showing locations of slit, lenses, grating and camera. T2-11 Figure T2.6 Diagram of complete Raman spectrograph, including prefilter stage. T2-13 Figure T2.7 Energy levels in the HeNe laser. T2-15 Figure T2.8 Sketch of HeNe laser, showing mirrors and cavity. T2-16 Figure T2.9 Multiple layers of a CCD device and the use of gate biasing to collect and move charge. T2-18 Figure T2.10 Three-phase gate design. To move the charge to the right, v3 would be biased positive and v1 switched to zero. T2-20 Figure T2.11 Quantum efficiency as a function of wavelength for a typical, front illuminated CCD. T1-21 Figure T2.12 Three designs for two-dimensional readout of a CCD. The "m"s in each diagram represents measurement amplifiers. T2-22 Figure T2.13 Multi-pin phase design incorporating negatively charged gates and doped silicon layers for the formation of well boundaries. T2-23 Figure T3.1 Comparison of Raman spectra of (a) amorphous and (b) semi-crystalline poly(ethylene terephthalate) films. The spectral features most sensitive to crystallinity are highlighted. (reprinted with permission from ref. 12). T3-5 Figure T4.1 The basic 90° illumination/collection geometry (focused laser in, collection lens to spectrograph box out). T4-3 Figure T4.2 6-around-1 probe, showing both ends of fibers. T4-5 Figure T4.3 Diagram of Mark II probe showing lenses one though five (PL1-PL5), power adjustment control (PA), grating (G), diffuse screen indicator (DS), probe head shutter, spatial filter (SF), beam combiner and notch filters, and the linear polarizers (PB). T4-6 Figure T4.4 Block diagram of microprobe. T4-7 Figure T4.5 Simple diagram of confocal geometry. T4-9 Figure T4.6 Illustration of a wave guide. T4-11 Figure T5.1 Ne lamp spectrum with wavelengths indicated for several of the lines. T5-4 Figure T6.1 The spectrum of sodium carbonate (a) before and (b) after the removal of the background Raman signal from silica. Also shown is the background silica Raman spectrum used in the subtraction, as collected from a sample of sodium chloride (c). T6-4 Figure T6.2 Raman spectra of (a) egg albumin and (b) dried egg yolk. Average of 4 exposures at 50 seconds each. T6-9 Figure T6.3 Raman spectrum from a carrot slice (a) before background subtraction and (b) after background subtraction (scaled x3). Exposure time of 20 seconds. T6-9 Figure T6.4 The temperature dependence of the Raman spectrum of 0.2 M sodium benzoate solution in the OH stretch region. The benzoic acid C-H stretch is also visible Does this/should this band have frequency or intensity temperature dependence? T6-14 Figure T6.5 Logarithm ratio of integrated band areas (weakly-hydrogen bonded to strongly hydrogen bonded) as a function of reciprocal temperature, K-1. The best-fit line has a slope of 660 K and an intercept of -1.89. T6-14 Figure T6.6 Temperature dependence of the Raman spectrum of (a) deprotonated and (b) protonated benzoic acid in the carbonyl region. Spectra are offset vertically for clarity. T6-15 Figure T6.7 The Raman spectra of (a) diamond (5 second exposure) and (b) graphite (8 minute exposure). T6-17 Figure T6.8 The Raman spectra of (a) standard IC silicon (90 second exposure, offset for clarity) and (b) silicon from an EPROM (10 second exposure). T6-18 Figure T6.9 (a) Surface-enhanced Raman spectrum of 0.05 M pyridine on an acidified silver colloid. (b) Unenhanced 0.05 M pyridine Raman spectrum. Asterisks indicate pyridine peaks too weak to observe. Inset is expanded view of the 1000 cm-1 peak region after background subtraction. Integration time, 30 seconds for each spectrum. T6-20
T1 A Brief Look at Raman Scattering Theory T1- T1.1 The Raman Effect and Normal Raman Scattering T1- T1.1.1 The Scattering Process T1- T1.1.2 Vibrational Energies T1- T1.1.3 Raman Selection Rules and Intensities T1- T1.1.4 Polarization Effects T1- T1.2 Resonance-Enhanced Raman Scattering T1- T1.3 Surface-Enhanced Raman Scattering T1-
T1 A Brief Look at Raman Scattering Theory T1.1 The Raman Effect and Normal Raman Scattering When light is scattered from a molecule, most photons are elastically scattered. The scattered photons, therefore, have the same energy (frequency) and wavelength as the incident photons. However, a small fraction of light (approximately 1 in 107 photons) is scattered at optical frequencies different from, and usually lower than, the frequency of the incident photons. The process which leads to this inelastic scatter is termed the Raman effect. Raman scattering can occur due to a change in vibrational, rotational or electronic energy of a molecule, but chemists are concerned primarily with the vibrational Raman effect. We will use the term Raman effect to mean vibrational Raman effect only. The difference in energy between the incident photon and the Raman-scattered photon is equal to the energy of a vibration of the scattering molecule. A plot of intensity of scattered light versus energy difference, then, is a Raman spectrum. The Raman effect arises
when a photon is incident on a molecule and interacts with the electric
dipole of the molecule. It is a form of electronic (more accurately,
vibronic) spectroscopy, although the spectrum contains vibrational frequencies.
In classical terms, the interaction can be viewed as a perturbation
of the molecules electric field. In quantum mechanics, the scattering
is described as an excitation to a virtual state lower in energy than
a real electronic transition with nearly coincident de-excitation and
a change in vibrational energy. The scattering event occurs in 10-14
seconds or less. The virtual-state description of scattering is shown
in Figure T1.1a.
The energy difference
between the incident and scattered photons is represented by the arrows
of different lengths in Figure T1.1a. Numerically, the energy difference
between the initial and final vibrational levels,
in which l incident and l scattered are the wavelengths (in cm) of the incident and Raman scattered photons, respectively. The vibrational energy is ultimately dissipated as heat. Because of the low intensity of Raman scattering, the heat dissipation does not cause a measurable temperature rise in a material. At room temperature, the thermal population of vibrational excited states is low, although not zero. Therefore, for the majority of molecules, the initial state is the ground state, and the scattered photon will have lower energy (longer wavelength) than the exciting photon (called Stokes shift). This Stokes shifted scatter is what is usually observed in Raman spectroscopy and is depicted in Figure T1.1a. According to the Boltzman population of states, a small fraction of the molecules are in vibrationally excited states. Raman scattering from vibrationally excited molecules leaves the molecule in the ground state. The scattered photon appears at higher energy, as shown in Figure T1.1b. This anti-Stokes-shifted Raman spectrum is always weaker than the Stokes-shifted spectrum, but at room temperature it is strong enough to be useful for vibrational frequencies less than about 1500 cm-1. The Stokes and anti-Stokes spectra contain the same frequency information. The ratio of anti-Stokes to Stokes intensity at any vibrational frequency is a measure of temperature. Anti-Stokes Raman scattering can be used for contact-less thermometry. Furthermore, the anti-Stokes spectrum can also be used when the Stokes spectrum is not directly observable, for example because of poor detector response or spectrograph efficiency.
The energy of a vibrational mode depends on molecular structure and environment. Atomic mass, bond order, molecular substituents, molecular geometry and hydrogen bonding all effect the vibrational force constant which in turn dictates the vibrational energy. For example, the stretching frequency of a phosphorus-phosphorus bond ranges from 460 to 610 to 775 cm-1 for the single, double, and triple bonded moieties, respectively. [1] Much effort has been devoted to estimation or measurement of force constants. For small molecules, and even for some extended structures such as peptides, reasonably accurate calculations of vibrational frequencies are possible with commercially available software. Vibrational Raman spectroscopy is not limited to intramolecular vibrations. Crystal lattice vibrations and other motions of extended solids are Raman-active. Their spectra are important in such fields as polymers and semiconductors. In the gas phase, rotational structure is resolvable on vibrational transitions. The resulting vibration/rotation spectra are widely used to study combustion and gas phase reactions generally. Vibrational Raman spectroscopy in this broad sense is an extraordinarily versatile probe into a wide range of phenomena ranging across disciplines from physical biochemistry to materials science.
T1.1.3 Raman Selection Rules and Intensities A simple classical electromagnetic field description of Raman spectroscopy can be used to explain many of the important features of Raman band intensities. The dipole moment, P, induced in a molecule by an external electric field, E, is proportional to the field as shown in equation 2. P = a E (2) The proportionality constant a is the polarizability of the molecule. The polarizability measures the ease with which the electron cloud around a molecule can be distorted. The induced dipole emits or scatters light at the optical frequency of the incident light wave. Raman scattering occurs because a molecular
vibration can change the polarizability. The change is described by
the polarizability derivative,
The Raman selection rule is analogous to the more familiar selection rule for an infrared-active vibration, which states that there must be a net change in permanent dipole moment during the vibration. From group theory it is straightforward to show that if a molecule has a center of symmetry, vibrations which are Raman-active will be inactive or forbidden in the infrared, and vice versa. Scattering intensity is proportional to
the square of the induced dipole moment, that is to the square of the
polarizability derivative, If a vibration does not greatly change the polarizability, then the polarizability derivative will be near zero, and the intensity of the Raman band will be low. The vibrations of a highly polar moiety, such as the O-H bond, are usually weak. An external electric field can not induce a large change in the dipole moment, and stretching or bending the bond does not change this. Typical strong Raman scatterers are moieties with distributed electron clouds, such as carbon-carbon double bonds. The pi-electron cloud of the double bond is easily distorted in an external electric field. Bending or stretching the bond changes the distribution of electron density substantially, and causes a large change in induced dipole moment. The observed strength of the Raman band is also proportional to the concentration of the species, as well as the intensity of the excitation laser. Chemists generally prefer a quantum-mechanical approach to Raman scattering theory, which relates scattering frequencies and intensities to vibrational and electronic energy states of the molecule. The standard perturbation theory treatment assumes that the frequency of the incident light is low compared to the frequency of the first electronic excited state. The small changes in the ground state wave function are described in terms of the sum of all possible excited vibronic states of the molecule. Raman scatter is partially polarized, even for molecules in a gas or liquid, where the individual molecules are randomly oriented. The effect is most easily seen with an exciting source which is plane polarized. In isotropic media, polarization arises because the induced electric dipole has components which vary spatially with respect to the coordinates of the molecule. Raman scatter from totally symmetric vibrations will be strongly polarized parallel to the plane of polarization of the incident light. The scattered intensity from non-totally symmetric vibrations is 3/4 as strong in the plane perpendicular to the plane of polarization of the incident light as in the plane parallel to it. The situation is more complicated in a crystalline material. In that case the orientation of the crystal is fixed in the optical system. The polarization components depend on the orientation of the crystal axes with respect to the plane of polarization of the input light, as well as on the relative polarization of the input and the observing polarizer.
T1.2 Resonance-Enhanced Raman Scattering Raman spectroscopy is conventionally performed with green, red, or near-infrared lasers. The wavelengths are below the first electronic transitions of most molecules, as assumed by scattering theory. The situation changes if the wavelength of the exciting laser is within the electronic spectrum of a molecule. In that case the intensity of some Raman-active vibrations increases by a factor of 102-104. This resonance enhancement or resonance Raman effect can be quite useful. Metalloporphyrins, carotenoids, and several other classes of biologically important molecules have strong allowed electronic transitions in the visible. The spectrum of the chromophoric moiety is resonance enhanced and that of the surrounding protein matrix is not. This allows the physical biochemist to probe the chromophoric site (often the active site) without spectral interference from the surrounding protein. Resonance Raman spectroscopy is also a major probe of the chemistry of fullerenes, polydiacetylenes, and other "exotic" molecules which strongly absorb in the visible. Although many more molecules absorb in the ultraviolet, the high cost of lasers and optics for this spectral region have limited UV resonance Raman spectroscopy to a small number of specialists. The vibrations whose Raman bands are resonance enhanced fall into two or three general classes. The most common case is Franck-Condon enhancement, in which a component of the normal coordinate of the vibration is in a direction in which the molecule expands during an electronic excitation. The more the molecule expands along this axis when it absorbs light, the larger the enhancement factor. The easily visualized ring breathing (in-plane expansion) modes of porphyrins fall into this class. Vibrations which couple two electronic excited states are also resonance enhanced. This mechanism is called vibronic enhancement. In both cases enhancement factors roughly follow the intensities of the absorption spectrum. The theory of resonance enhancement is beyond the scope of this tutorial, and the interested reader is referred to specific reviews. [2] Resonance enhancement does not begin at a sharply defined wavelength. In fact, enhancement of 5X-10X is commonly observed if the exciting laser is even within a few hundred wavenumbers below the electronic transition of a molecule. This pre-resonance enhancement can be experimentally useful.
T1.3 Surface-Enhanced Raman Scattering The Raman scattering from a compound (or ion) adsorbed on or even within a few Angstroms of a structured metal surface can be 103-106 X greater than in solution. This surface-enhanced Raman scattering is strongest on silver, but is observable on gold and copper as well. At practical excitation wavelengths, enhancement on other metals is unimportant. Surface-enhanced Raman scattering (SERS) arises from two mechanisms. The first is an enhanced electromagnetic field produced at the surface of the metal. When the wavelength of the incident light is close to the plasma wavelength of the metal, conduction electrons in the metal surface are excited into an extended surface electronic excited state called a surface plasmon resonance. Molecules adsorbed or in close proximity to the surface experience an exceptionally large electromagnetic field. Vibrational modes normal to the surface are most strongly enhanced. The second mode of enhancement is by the formation of a charge-transfer complex between the surface and analyte molecule. The electronic transitions of many charge transfer complexes are in the visible, so that resonance enhancement occurs. Molecules with lone-pair electrons or pi clouds show the strongest SERS. The effect was first discovered with pyridine. Other aromatic nitrogen or oxygen containing compounds, such as aromatic amines or phenols, are strongly SERS active. The effect can also been seen with other electron-rich functionalities such as carboxylic acids. The intensity of the surface plasmon resonance is dependent on many factors including the wavelength of the incident light and the morphology of the metal surface. The wavelength should match the plasma wavelength of the metal. This is about 382 nm for a 5 m m silver particle, [3] but can be as high as 600 nm for larger ellipsoidal silver particles. The plasma wavelength is to the red of 650 nm for copper and gold, [4] the other two metals which show SERS at wavelengths in the 350-1000 nm region. The best morphology for surface plasmon resonance excitation is a small (<100 nm) particle or an atomically rough surface. SERS is used to study monolayers of materials adsorbed on metals, including electrodes. Many formats other than electrodes can be used. The most popular include colloids, metal films on dielectric substrates and, recently, arrays of metal particles bound to metal or dielectric colloids through short linkages. Although SERS allows easy observation of Raman spectra from solution concentrations in the micromolar (1 X 10-6) range, slow adsorption kinetics and competitive adsorption limit its application in analytical chemistry.
References 1. B. Schrader, Infrared and Raman Spectroscopy; B. Schrader, ed., chapter 4, VCH Publishers Inc., New York, 1995. 2. A..B. Myers and R.A. Mathies, Biological Applications of Raman Spectroscopy: Volume 2: Resonance Raman Spectra of Polyenes and Aromatics, Spiro, T.G. ed., chapter 1, John Wiley and Sons, New York, 1987. 3. M. Kerker, D.-S. Wang, H. Chew, O. Siiman, and L.A. Bumm, Surface Enhanced Raman Scattering, R.K Chang and T.E. Furtak, eds., pp. 109-128, Plenum Press, New York, 1982. 4. M.D. Morris, Applied Laser Spectroscopy; D.L. Andrews, ed., chapter 6, VCH Publishers Inc., New York, 1992.
T2.1.1 Holographic Gratings T2- T2.1.2 Multiplexed Gratings T2- T2.1.3 Holographic Filters T2- T2.1.4 Hologram Construction T2- T2.2 The Axial Transmissive Spectrograph T2- T2.3 Low Power Lasers: HeNe and Solid State Systems T2- T2.3.1 The Helium-Neon Laser T2- T2.3.2 The Diode-pumped Neodymium/YAG Laser (DPY) T2- T2.3.3 The GaAlAs diode laser T2- T2.4 Charge Coupled Devices T2- T2.4.1 Charge Origin and Collection T2.4.2 Charge Movement and Measurement T2-
The HoloLab 1000, like all Kaiser Optical Systems instruments, uses volume-phase holograms to perform filtering and dispersion functions. As optical elements, these holograms offer unique combinations of high efficiency, controllable spectral response, and low scattering. [1] Volume-phase holograms entered spectroscopic instrumentation less than ten years ago as high performance band rejection filters. The first spectrograph to use a volume-phase holographic grating, the Kaiser Optical Systems HoloSpec f/1.8i, appeared shortly thereafter. Volume-phase holograms are periodic refractive index gradients generated in transparent materials. Because the structures are periodic, they diffract light. Depending on the application, the hologram can be as little as 3-4 mm thick to about 100 mm thick. They operate in the Bragg, or volume, diffraction regime. X-ray diffraction is the most familiar application of Bragg diffraction. Acousto-optic tunable filters and laser beam deflectors are also based on Bragg diffraction. [2] Most conventional reflection based diffraction gratings operate in the surface diffraction regime. In the Bragg regime, diffraction occurs through an angle, q , given by equation 1 and illustrated in Figure T2.1.
In equation 1, m is the diffraction order, l is the wavelength and d is the fringe spacing. By convention, m is positive if diffraction is to the right, as viewed from the light source. For a sufficiently thick grating, diffraction is efficient only in +1 order and in the 0 order.
Figure T2.1 Simple illustration of Bragg diffraction using tilted grating, one order evanescent.
In order to obtain a large
spectral bandwidth, the gratings in many Kaiser Optical Systems spectrographs
use thin The fringe spacing can be made small, resulting in a high dispersion grating. Volume-phase holographic gratings used in Raman spectrographs have dispersions as high as 5000 grooves/mm. As a consequence, it is possible to construct compact, high resolution spectrographs using these holographic transmission gratings. Every volume-phase holographic diffraction grating is an original, not a replica. By proper choice of the thickness of the hologram, its refractive index modulation, and the spatial frequency (periodicity) of the fringes, the grating can be optimized for any desired wavelength range. Transmission gratings can be stacked one after another to extend their operating range, as shown in Figure T2.2. The Kaiser Optical Systems HoloPlex grating uses this technique to allow coverage of a wider wavelength region than would be available with a single grating without a loss in spectral resolution. The grating fringes are tilted and the gratings rotated slightly so that light from one grating is deflected upwards and the from the other downwards. The effect is to increase the frequency coverage of the grating system without reducing dispersion. A 100-4400 cm-1 operating range is available with the HoloPlex grating designed for Raman spectroscopy with green (532 nm) laser excitation and for a 26 mm detector width. The range is 100-3500 cm-1 with the HoloPlex grating designed for NIR excitation. The spectrum obtained with a HoloPlex grating appears on the CCD detector as two pieces, each on different regions of the detector. The instrument software contains routines to splice these pieces together properly, so that the user sees only one continuous high resolution Raman spectrum. The HoloLab 1000 uses a single diffraction grating, not stacked gratings. It is designed for a wide spectral window at moderate resolution.
The planes of equal refractive index--or fringes--of a volume-holographic diffraction grating are perpendicular to the surface of the hologram or are tilted at a small angle. If the fringes are parallel or nearly parallel to the surface of the holographic film, the hologram operates as a wavelength-selective mirror, more commonly called a notch filter. A narrow band of wavelengths is reflected with high efficiency, while all other wavelengths are transmitted with high efficiency. The reflectivity of the notch filter can be quite high and the bandwidth can be quite narrow, as illustrated in Figure T2.3 for a Kaiser Optical Systems SuperNotch-Plus filter. The transmission at the center of the notch is less than 0.0001%, equivalent to optical density greater than 6.0. The half width at half maximum (HWHM) of the notch corresponds to about 175 cm-1. The SuperNotch-Plus filter makes a nearly ideal laser light rejection filter for the most demanding low wavenumber applications in Raman spectroscopy. The holographic notch filter used to reject laser light in the HoloLab 1000 has optical density 6.0 at the HeNe laser wavelength, 633 nm.
A notch filter is usually operated at normal incidence. Tilting the filter at a small angle (<15°) shifts the rejection band to lower frequencies. This simple strategy allows use of a SuperNotch-Plus filter at frequencies as close as 40 cm-1 from the exciting laser line, but it is not without cost. As the filter is tilted further from normal incidence, its reflection efficiency decreases and its sensitivity to polarization increases. The greatest practical advantage of the holographic notch filter is the smoothness of its transmission curve, which makes its low wavenumber performance greatly superior to the performance of a thin film dielectric filter. [4] A dielectric filter has undulations in its transmission curve which arise from the abrupt changes in refractive index at the layers of the filter. Undulations are especially severe in the transition region between high and low transmission. They seriously degrade the low wavenumber performance of the thin film filter to the point where measurement of vibrational frequencies below about 400-500 cm-1 becomes difficult or impossible. In addition, the holographic filter has the narrower rejection band, further adding to its low frequency performance advantage. Other optical elements can be constructed by volume holography. Currently, the most important commercially available device for spectroscopy is the laser bandpass filter. Filters are available for many important laser wavelengths ranging from 442 nm (HeCd) to 1064 nm (Nd:YAG ) in the near infrared. The bandpass filter is a diffraction grating which is mounted between prisms which are used to deviate the input and output beams so as to obtain an overall 90° or in-line operation. The transmission of the holographic band pass filter is greater than 90%. Dielectric band pass filters have transmissions in the 50-90% range, depending on the wavelength of operation, the width of the pass band and the fabrication technique and materials used. Volume-phase holograms are periodic refractive index distributions in an optically thick (3-100 mm) medium. They are formed by a photographic process which is illustrated in Figure T2.4. The photographic medium is exposed to two mutually coherent beams, derived from the same laser. When these beams interfere they form periodic regions of exposed/unexposed film. The latent image is developed to form the hologram.
The angle of the incident laser beam and the wavelength of the laser together determine the fringe spacing and, therefore, the reflection wavelength. It is not necessary that the laser which generates the hologram be at the center reflection wavelength of the subsequently generated notch filter. Transmission gratings are constructed by bringing two beams into the film, usually from the same side of the film, as in Figure T2.4b. The beams are derived from a single laser with a beamsplitter. If the beams are incident at equal and opposite angles with respect to the normal to the film plane, the fringes will be perpendicular to the surface. As with the notch filter, the illuminating laser wavelength does not have to be at the design center wavelength of the grating. Holograms can be made in many different materials, including ordinary photographic film. The preferred material for spectroscopic quality holograms is dichromated gelatin (DCG), which is prepared fresh for each batch of holograms. DCG yields holograms which have high transmission and very low scattered light, but efficient diffraction. A uniform layer of dichromated gelatin is carefully spread on a flat glass or quartz plate, which may be 10x10 cm2 square or larger. The "film" is exposed to laser light, forming cross-links in the gelatin matrix. After exposure the hologram is washed in water, which removes the residual sensitizer and swells the film. It is then washed in alcohol to remove the water. Finally, it is rapidly dried to collapse the swollen film. The dried hologram is sealed between two layers of glass with an optical cement. It is cut into standard sizes for final use, and the edges are sealed to prevent moisture from entering. While the process is simple in principle, production of high quality holograms requires carefully controlled conditions and strict attention to all details of the process. To prevent particulate contamination, Kaiser Optical Systems holographic optical elements are fabricated in clean rooms similar to those used in semiconductor manufacture. Particles in a hologram scatter light and render the contaminated device useless for spectroscopy. The holograms are exposed with stabilized argon ion lasers, using mirrors, beamsplitters and holographic media mounted on vibration-isolation optical tables. As in any interferometric process, good isolation from room vibrations is necessary to ensure formation of well-defined fringes. Development, washing, and drying are performed with close control of time and temperature. Volume holographic optical elements are best suited for use in the visible or near infrared. Because dichromated gelatin is used as the recording medium, the window for maximum transmission is about 380 nm - 2.5 mm. Aromatic amino acids limit the ultraviolet transmission of gelatin-based devices. Because most volume holographic filters and gratings are designed for operation above 400 nm, the support medium is usually glass. Quartz can be used to extend the operating range of thin holograms into the near ultraviolet.
T2.2 The Axial Transmissive Spectrograph The axial transmissive spectrograph uses a volume holographic transmission grating in combination with well-corrected photographic or video lenses to achieve almost aberration-free imaging performance in a compact package. Figure T2.5 illustrates the basic design of the instrument. [5] These photographic lenses are used on-axis as collimating and focusing elements with a volume holographic transmission grating placed in the collimated region between the lenses. With this on-axis design, aberrations are inherently less than in an off-axis configuration, such as the familiar Czerny-Turner spectrograph. Residual aberrations are inherently easier to correct in an on-axis design.
Photographic and closed circuit TV lenses are ideally suited for use in this spectrograph. They are designed for projection of a large, flat field with almost complete correction of spherical aberration, coma, and astigmatism over a large wavelength range. High quality lenses are available at moderate cost because they are produced in large volumes. They can be made with transmission of 90% or higher and with ¦ /numbers as low as ¦ /1.4. The diffracted light from the spectrograph stage is focused onto the surface of a CCD detector, which records the actual spectrum. The light path is axially symmetric through the input and output lenses, which minimizes aberrations in the system. The grating is at an angle close to 45° , so that diffracted light is forced into the +1 order for highest diffraction efficiency. The grating angle makes the overall optical path approximately L-shaped. The axial transmissive design allows operation at very low ¦ /number. Most Kaiser Optical Systems spectrographs for Raman spectroscopy operate at ¦ /1.8. This extraordinary light-gathering power results in greater intensity delivered to the detector than is possible with a Czerny-Turner design. Coupling to optical fibers, which typically have ¦ /numbers close to ¦ /2, is nearly 100% efficient. By contrast, spherical aberration limits the light gathering power of a Czerny-Turner spectrograph to ¦ /4. With equal laser power on a sample the Czerny-Turner may deliver to the detector a signal only 25% as intense as that produced by the axial transmissive spectrograph. The image quality of the Czerny-Turner is degraded by astigmatism and spherical aberration. Even in the best designs, which employ toroidal mirrors to correct for astigmatism, imaging is reasonably good only at the very center of the field of view. However, image quality along with resolution and the ability to view extended sources such as fiber bundles, deteriorates rapidly towards the edges of the field. The HoloLab 1000 and other Kaiser Optical Systems spectrographs intended for Raman spectroscopy include a prefilter stage, which contains the notch filter for laser line rejection. The complete spectrograph is shown in Figure T2.6. The first lens collimates the input signal, which then passes through the notch filter to attenuate laser light. The filtered signal, with laser light intensity reduced by at least 106X using Notch-Plus or SuperNotch-Plus holographic filters, is focused on the spectrograph entrance slit with the second lens. The slit functions as a spatial filter to minimize transmission of stray light into the dispersion stage of the spectrograph.
Because of the excellent correction of the lenses used in the instrument, the image of a point can be focused to nearly the diffraction limit. Slit widths between 25, 50 or 100 mm are commonly used. The use of high transmission lenses and an efficient diffraction grating results in a Raman spectrograph with high throughput. The high quality lenses and the high dispersion gratings result in a compact instrument. T2.3 Low Power Lasers: HeNe and Solid State Systems Few applications on a modern single stage Raman spectrograph require the 1-5 Watt illumination common in earlier systems. Instead, lasers with a maximum output of 5-300 mW are used. The benefits include reduced risk of sample damage, greater operator safety, convenience, and lower capital and operating costs. The laser is based on stimulated emission between atomic or molecular energy levels, which can be made to dominate over absorption, in a three-level or four-level system. The kinetic equations describing this system can be found in any introductory treatment of laser theory, such as Demtroders. [6] Four-level systems dominate, because it is easier to maintain a population inversion than in a three-level system. The helium-neon (HeNe) laser illustrates the basics of population inversion. The energy levels for Helium and Neon are illustrated in Figure T2.7. The laser cavity itself is a long, narrow gas discharge tube, operated at high voltage (1500-3000 V) and low current (<10 mA). Collisions with electrons in the discharge excite He to the F3 and F2 levels. These states have long lifetimes, so collisional energy transfer to Ne atoms produce an efficient population in E6 and E4 states. The wavelengths for the allowed transitions are given in Figure T2.7. From the E6 level one can obtain 3.39 mm or 632.8 nm emission. From the E4 state one can obtain 1.15 mm. There are also several other transitions the 540-600 nm range suitable for laser use which are not shown in Figure T2.7. Wavelength-selective mirrors determine which transition is observed in the laser. Stimulated emission will be the dominant process at 632.8 nm if the population of E6 can be kept higher than the population of E3. E6 is replenished by collision with excited Ne atoms, while E3 is emptied by rapid spontaneous emission to E2. He atoms can be excited efficiently from E2 to E3, however. This process counteracts population inversion. A small diameter discharge tube is used to facilitate collisional de-excitation from E2 to E1. The narrow discharge tube limits the maximum current, so that only relatively low powers are available from the HeNe laser.
Figure T2.7
Energy
levels in the HeNe laser. Figure T2.8 shows the com
plete laser. The laser is essentially a Fabry-Perot interferometer. Oscillation will occur at any wavelength which is an integral or half-integral multiple of the distance between the mirrors. These wavelengths, called longitudinal modes, must be within the envelope of the E6-E3 transition. Because the laser cavity is long compared to a wavelength of light, the laser can oscillate on many longitudinal modes simultaneously. The cross-sectional intensity distribution of a laser beam is called a transverse electromagnetic (TEM) mode. The lowest order mode is radially Gaussian with a maximum at the center of the beam. This TEM00 mode is obtained by limiting the divergence of the beam within the cavity. Higher order modes contain nodes in their cross-sectional distributions. The TEM00 has the lowest divergence mode and can be focused most tightly. Tight focusing is an advantage in some applications, such as microscopy. However, more energy can be extracted from the laser if it is designed to operate on higher order modes as well. Such a multi-mode laser is used in the HoloLab 1000.
The HeNe laser used in the HoloLab 1000 generates about 5 mW of unpolarized 632.8 nm light. Although the laser package is about 2.5 cm diameter, the discharge tube has a diameter of <3mm. The laser mirrors are internal to the cavity and sealed to the ends of the cavity. Internal mirrors are permanently aligned. The laser power supply generates the proper operating current. No operator adjustments are needed or even possible with this laser.
T2.3.2 The Diode-pumped Neodymium/YAG Laser (DPY) The Nd:YAG laser entered Raman spectroscopy as a 1.064 mm source. Most recent instruments use the diode-pumped version, because of its superior intensity, stability, and small size. The active medium is Nd+3 in an yttrium aluminum garnet (YAG) host crystal. Other host crystals are also used. The laser is efficient because it can be pumped by 809 nm diode lasers. For green light, the 1.064 mm radiation is frequency doubled to 532 nm. The doubling crystal, usually potassium dihydrogen phosphate (DHP), is placed inside the laser cavity because the power in the cavity is much higher than the power delivered by the laser. Frequency doubling efficiency is proportional to the square of the laser power. Placement of the crystal outside of the cavity would result in very low green output in a CW laser. Generally, 50-100 mW green lasers are used for Raman spectroscopy. Much more powerful green DPY lasers (up to 10 W) are now available, and will displace argon ion lasers in many applications. Stimulated emission can take place between the conduction band and the ground state of a modified p-n junction. Lasers operating in the near-infrared (750-850 nm) use as the active medium a thin layer (about 0.1 mm x 2 mm x 100 mm) of GaAs sandwiched between much thicker layers of Ga1-xAlxAs. The GaAlAs layers have different compositions (values of x), and function as p and n semiconductors. GaAs has a higher refractive index than either GaAlAs composition, so light is confined by internal reflection to the thin central layer. If the ends of the semiconductor are coated with dielectric reflectors, the device forms a Fabry-Perot cavity, and can operate as a laser. A population inversion is maintained by passing a current through the device. The diode laser is compact and is usually packaged on one of the standard power transistor packages. It operates at low voltages and has good power conversion. However, because current is passed through the device it dissipates heat. As it expands, the resonant wavelength changes. Unless the operating temperature and current are carefully controlled, the laser output wavelength and power will fluctuate. Despite the cost and size advantages, the stability problems have limited the use of these diode lasers as Raman spectroscopy excitation sources. The stability problems can be solved by using externally mounted mirrors instead of end reflectors. In many designs, a diffraction grating replaces the totally reflecting mirror. The grating functions as a wavelength-selective mirror, and it improves wavelength stability because only a very narrow range of wavelengths is reflected back into semiconductor. The external resonator diode laser is now commercially available at powers as high as 300 mW in the 750-850 nm range. Although it is more expensive than the basic diode laser, it is rapidly becoming a preferred laser for excitation of Raman spectra in the near-infrared.
The Kaiser Optical Systems HoloLab 1000 and all other modern Raman spectrographs use charge coupled device (CCD) detectors. The CCD detector has been universally adopted because it combines large dynamic range, low noise, and high quantum efficiency with the ability to store and measure charge in two dimensions and thereby represent images. [7] The devices designed for spectroscopy and scientific imagery are constructed somewhat differently than video CCD chips. While both types work on the same premises, this latter type of chip is designed for rapid readout, not low noise.
T2.4.1 Charge Origin and Collection When a photon is absorbed by the silicon in a CCD, an electron is excited from the valence band into the conduction band, creating an electron vacancy or hole. The electron and hole will usually rapidly recombine. However, because an electron in the conduction band can be moved within the silicon lattice, the recombination with a hole can be avoided by forcing the two apart with an electric field. This field is produced by applying a potential through a highly-doped silicon electrode (gate) which is separated from the photo-active silicon wafer (epitaxy) by several insulating layers. The chip is formed on a backing substrate as shown in Figure T2.9. The HoloLab 1000 uses front illumination conditions in which photons arrive on the gate side of the device.
A positive voltage applied at the gate forces away the holes and immobilizes the electrons in the region just below the gate. This region is a potential "well" which can be filled with electrons. The electrons do not leave the well because of the more negative potentials on either side of the gate. A CCD detector is a two dimensional array of wells, each of which is an individual pixel. The number of electrons collected in a well is directly proportional to the number of photons incident on that pixel. The best signal-to-noise ratio is obtained when the exposure of the CCD allows the wells to nearly fill. If, however, the electron capacity of a well is exceeded, excess electrons can flow over the potential barrier and bleed into adjacent wells. This phenomenon, called blooming, can be a problem in measurement of low-intensity Raman signals in the presence of fluorescence or strong Raman bands. In this situation, multiple short exposures can be acquired and added together to improve the signal-to-noise of low-intensity signals while not allowing blooming. While higher gate potentials can be used to increase well capacity, this can create spurious charge when gate potentials are changed. With large well capacities, the dynamic range of the detection system is dictated by the analog-to-digital (A/D) conversion electronics that follow the CCD chip. A scientific CCD usually has an A/D converter providing 16 bits of precision yielding a maximum of 65535 (216) counts. In contrast, video CCDs usually have only 8 bits of resolution.
T2.4.2 Charge Movement and Measurement In a CCD device, the charge must be moved from where it was collected to the edge of the chip where the readout amplifier is located. This movement is accomplished using multiple adjacent gates. If charge collects below one positively biased gate while an adjacent gate is held at zero or a slightly negative potential, the charge will remain in the region of the silicon below the first gate (Figure T2.9a). If the second gate is also biased positively, the electrons can then move to underneath both gates (Figure T2.9b). If the first gate is then zero biased, the electron packet will move to the region below the second gate only (Figure T2.9c). This process can be repeated along the silicon until the charge packet reaches the edge of the silicon where it is measured and discarded. Efficient movement of charge is crucial for detection of the low-intensity signals measured in most scientific applications. This is described by the charge transfer efficiency (CTE). Many types of gate arrangements exist, all involving groups of gates which are biased together simultaneously but out of phase with adjacent gates. The most common designs involve three or four groups of gates or "phases" as shown in Figure T2.10. In these arrangements, every third (or fourth) gate is attached to a common electrical lead and is biased at the same high or low potential. The different phases are then alternately biased to move all the charge packets across the CCD in tandem.
Unfortunately, three- and four-phase systems cannot be read at video speeds due to the complexity of the electronic switching needed for the multiple phases. Sensitivity, especially at shorter wavelengths, is limited to around 40% quantum efficiency (QE, % photons detected) with these systems because of the multiple layers of gating and insulation that the photons must pass through. A typical quantum efficiency curve as a function of wavelength is shown in Figure T2.11. Significant gains in photosensitivity can be obtained by irradiating from the back side of the CCD after etching away most of the back substrate leaving only a thin, transparent layer. Because the light does not have to pass through the insulating layers and gates, quantum efficiency can be increased to 80% or 90%. However, backthinned CCDs require additional processing steps which increase cost.
Up to this point, we have only discussed charge movement for a one dimensional array (line of wells). However, a CCD is a two-dimensional image array. In the simplest two-dimensional design, each row of wells is moved first up the chip and then, one row at a time, across the top into the amplifier. This is shown schematically in Figure T2.12a. While this system can be designed easily with long rows of gate material spanning the width of the CCD, it can be slow and can suffer from poor CTE. The CCD can be mechanically shuttered to keep from accumulating new charge while the wells are being read. This is not necessary for many applications involving low incident light or fast readout. Charge readout speed for two dimensional CCDs can be increased by adding measurement circuitry at each corner of the silicon chip and moving the charges to the nearest corner (Figure T2.12b). Readout time is reduced and CTE is increased because of the shorter travel of each packet of charge. Another time-saving design allows the CCD image to be quickly moved across the chip into a shielded region where it can be readout while the next image is being exposed on the open half of the chip (Figure T2.12c).
Figure T2.12 Three designs for two-dimensional readout of a CCD. The "m"s in each diagram represents measurement amplifiers. Binning is a third option that can both decrease readout time and increase signal-to-noise. In binning, multiple wells are combined as they are moved to the serial register (the end channels on the chip that move charge laterally to the amplifiers). Because half as many charge packets must be read (for a 1 to 2 binning), the readout time is decreased. The effect of readout noise is also thereby reduced. However, spatial resolution in the binned dimension is reduced.
In addition to photon-excitation, electrons can be excited to the conduction band by absorption of thermal energy present in the CCD. Because this charge is formed without light, it is called dark charge and it can be a significant source of noise at normal room temperatures. Dark charge can be significantly reduced by cooling the detector with liquid nitrogen or more commonly with thermoelectric (TE) coolers. Additional reduction of dark charge can be achieved using multi-pin phasing (MPP). With all gates biased negatively and periodic doped silicon regions to create well boundaries (Figure T2.13), the photo-electrons are forced away and holes are collected in the wells with a high concentration of holes at the epitaxy/insulator surface. With the surface "pinned" by these holes, surface dark charge events can be neutralized. Because negative-biased wells are not as efficient at trapping charge as are positive-biased wells, two adjacent wells are used together to increase well capacity.
Figure T2.13 Multi-pin phase design incorporating negatively charged gates and doped silicon layers for the formation of well boundaries. The effect of any remaining dark charge can be further minimized through the use of dark subtraction. Because dark charge is quite reproducible, a "dark image" with no incident light, can be collected and subtracted from the true collected image or spectrum. The most significant source of noise in most CCDs is quantum or "shot" noise. Shot noise arises from the random timing and energy of scattered photons. Two consecutive spectral measurements of the same sample will always show some variation in number of photons collected at any pixel. The relative level of shot noise can be reduced by collecting for longer periods of time or by increasing incident intensity. Another less significant source of noise in a scientific CCD comes from the readout amplification electronics. Readout noise is always present although it can be reduced by collecting several images and averaging the measurements. Because of readout noise, binning pixels on the CCD will introduce less noise than reading out all pixels and summing "off-chip." It is also important to note that because of minor variations in the manufacturing of a CCD, each pixel will have slightly different sensitivities. Because this is constant, an exposure called an intensity calibration or "flat-field" can be used to correct for these variations. Exposing the CCD to a uniform light source provides a intensity calibration image that can be used for the correction. T2.4.5 Imaging vs. Spectroscopic CCDs In an imaging application, both the length and width of a CCD are used to collect spatial information (like a video camera). For most imaging experiments, CCD chips with aspect ratios of 2/3 (height/width) or uniform dimensions (typically 512 or 1024 pixels square) are used. In spectrographic experiments, one dimension of the CCD chip is used to collect spectral information while the second is either not used or used for spatial resolution (See chapter 2B). To improve Raman band resolution, it is desirable to have a large number of pixels along the grating dispersion axis. CCDs with 700 to 2000 pixels on the spectral axis are often used. Typically, the spatial axis contains as few as 50 to 300 pixels. Although in many experiments spatial resolution is not important and the spatial axis can be binned into even fewer pixels, some applications use the full resolution of this axis.
1. J.M. Tedesco, H. Owen, D.M. Pallister, and M.D. Morris, Anal. Chem. 65, 441A (1993). 2. C. Tran, Anal. Chem., 64, 971A (1992). 3. H. Kogenik, Bell System Tech. J., 2909 (1969). 4. M. Kim, H. Owen, and P.R. Carey, Appl. Spectrosc., 47, 1780 (1993). 5. D.E. Battey, J.B. Slater, R. Wludyka, H. Owen, D.M. Pallister, and M.D. Morris, Appl. Spectrosc., 47, 1913 (1993). 6. Laser Spectroscopy: Basic Concepts and Instrumentation, 2nd Ed., W. Demtroder, ed., Springer-Verlag, Berlin, 1995. 7. Charge-Transfer Devices in Spectroscopy, J.V. Sweedler, K.L. Ratzlaff, and M.B. Denton, eds., VCH: New York, 1994. T3.1 Identification of Unknown Materials T3- T3.2 Inorganic Materials Characterization T3- T3.3 Polymer Characterization T3- T3.4 Biochemical and Biomedical Applications T3-
Raman spectroscopy has now become an important tool in many areas of science and engineering. In a brief review it is impossible to describe the range of applications. We focus on a few current topics. T3.1 Identification of Unknown Materials As a major structure elucidation tool supporting chemical synthesis, vibrational spectroscopy has given way to nuclear magnetic resonance spectroscopy and mass spectroscopy. Identification of unknown compounds in microscopic samples or in forms such as irregular solids, which are incompatible with other spectroscopies, remains an important application area of Raman spectroscopy. For detective work, the Handbook of Characteristic Frequencies of Organic Compounds complied by Lin-Vien et al is invaluable, as are the Raman and Infrared Atlas of Organic Compounds edited by B. Schrader and the Handbook of Infrared and Raman Spectra of Inorganic Compounds and Organic Salts edited by R.A. Nyquist et al. [1-3]
T3.2 Inorganic Materials Characterization Because the vibrational spectrum is sensitive to the local chemical environment, Raman spectroscopy is widely used to characterize the properties of materials. Crystal lattice dimensions change when dopants are added, or materials are subjected to mechanical or thermal stresses. These changes cause small (typically 0.1-10 cm-1) changes in some bands. Band widths may also change. The changes are easily monitored and even mapped to assess the state of a material. The polarization dependence of the Raman spectrum can be used to measure crystal orientation. We discuss applications to three important materials: diamond, graphite and silicon. Raman spectroscopy is a major tool in the study and characterization of diamond and other forms of carbon. [4,5] Diamond has a single triply-degenerate first order phonon, which is Raman-active and silent in the infrared. It appears as an intense, narrow band at 1332 cm-1. For thin films the intensity varies linearly with the film thickness. Because their spectra are intense and characteristic, Raman spectroscopy is used to identify and quantify graphitic impurities in diamond and amorphous carbon impurities in graphites as well. Graphite has a narrow band around 1565-1585 cm-1, which is a phonon consisting of in-plane C-C stretches. It is less intense than the diamond phonon, but still easily observed, with the exact frequency depending upon the type of graphite. The polycrystalline graphite phonon is at 1580 cm-1, and, for highly ordered pyrolytic graphite, it is at 1576 cm-1. In both cases the band is narrow. Amorphous sp2 (graphitic) carbons such as glassy carbon have a pair of bands at about 1345 and 1585 cm-1. Again, the band position varies with the type of carbon, but since these materials are disordered, the bands are much broader than for graphite or diamond. The silicon phonon at 522 cm-1 is a valuable diagnostic, [6] when microspectroscopy is generally employed, because of the small dimensions of semiconductor device. [7] The band is narrow (<3 cm-1) in single crystal silicon, and the band asymmetry is indicative of microcrystalline silicon. The crystal orientation can then be deduced from polarization properties. The most common application is probably strain mapping, because ion implantation distorts the silicon lattice, causing the phonon band to move to a lower frequency, often by as much as 10-20 cm-1. Typically, a line through the structure is plotted, but complete 2-dimensional maps are becoming increasingly common. Because the silicon phonon is a vibration of an extended lattice, the frequency is a function of interatomic spacings, which increases with temperature. The phonon band shifts about -0.016 cm-1/°C. The band position, therefore, can be used to measure the temperature of a silicon wafer during processing. It can also be used to map temperature distributions in different regions of an operating device.
Raman spectroscopy plays multiple roles in polymer characterization. [8-10] It is particularly useful for measuring unsaturation in polymers, because of the intensity of the C=C stretching vibration. Residual unsaturation, i.e. degree of cure, is easily measured. Loss of the alkene stretch, or of some other monomer band, can be used to measure formation kinetics. Because vibrational spectra are sensitive to the local environment, Raman spectroscopy is an important morphology diagnostic. Polymer crystallinity, for example, may result in band width and intensity changes. [11] In poly(ethylene terephthalate) films, a crystalline region has a narrower carbonyl stretch than amorphous film, but glycol bands change in intensity as well, [12] as shown in Figure T3.1. Quantitative measurements of crystallinity are best made by partial least squares, because the information is distributed in several bands. Similar changes in the Raman spectrum are used to correlate strain in fibers as well. Modern Raman spectrographs are fast and rugged enough to allow such measurements to be made on-line, to control the manufacture of the polymer film or fiber.
Figure T3.1 Comparison of Raman spectra of (a) amorphous and (b) semi-crystalline poly(ethylene terephthalate) films. The spectral features most sensitive to crystallinity are highlighted. (reprinted with permission from ref. 12).
Physical biochemistry is a rich area of application for both normal and resonance Raman spectroscopy. Resonance Raman spectroscopy has long been used as a diagnostic for structural changes in hemes [13] and polyenes. [14] Structural changes in the polyene visual pigments can be monitored on the femtosecond time scale, as well as in the steady state. Normal Raman spectroscopy is useful for studying secondary structure of proteins and nucleic acids. [15] Using wave guide Raman spectroscopy and other techniques related to total internal reflection, it is possible to obtain Raman spectra of membranes and monolayer membrane model systems as well. [16] The development of near-infrared Raman spectroscopy has spurred interest in the use of Raman spectroscopy in medical diagnostics. [17] Typically such applications rely on the differences in lipid/protein ratios in normal and cancerous tissue. Composition changes are reflected in the fingerprint region and in the C-H stretching region. Raman spectroscopy is attractive for these applications both because in-vivo measurements are possible with optical fiber probes and because microprobe measurements can be made on very small biopsy specimens.
1. D. Lin-Vien, N.B. Colthup, W.G. Fateley, and J.G. Grasselli, The Handbook of Infrared and Raman Characteristic Frequencies of Organic Molecules, Academic Press, Boston, 1991. 2. B. Schrader, Raman and Infrared Atlas of Organic Compounds, 2nd Ed., VCH-Verl. -Ges., Weinheim, 1989. 3. R.A. Nyquist, C.L. Putzig, M.A. Leugers, and R.O. Kagel, The Handbook of Infrared and Raman Spectra of Inorganic Compounds and Organic Salts, Vol. 1-4, Academic Press, San Diego, 1997. 4. D.S. Knightand W.B. White, J. Mater. Res., 4, 385 (1989). 5. P.V. Huong, Mater. Sci. Engin., B11, 235 (1992). 6. F.H. Pollak, "Characterization of Semiconductors by Raman Spectroscopy", in J.G. Grasselli, and B.J. Bulkin, Eds., Analytical Raman Spectroscopy, Wiley-Interscience, New York, 1991. 7. G. Abstreiter, Appl. Surf. Sci,. 50, 73 (1991). 8. D.I. Bower, and W.F. Maddams, The Vibrational Spectroscopy of Polymers, Cambridge University Press, Cambridge, 1992. 9. J.M. Chalmers and N.J. Everall, in Polymer Characterization, B.J. Hunt and M.I. James, eds., Blackie / Chapman and Hall, London, 1993. 10. H.G.M. Edwards, A.F. Johnson, and I.R. Lewis, J. Raman Spectrosc., 24, 475 (1995). 11. B.H. Stuart, Vibr. Spectrosc., 10,79 (1995). 12. N. Everall, K. Davis, H. Owen, M.J. Pelletier, and J. Slater, Appl. Spectrosc., 50, 388 (1995). 13. Biological Applications of Raman Spectroscopy: Resonance Raman spectra of Heme and metalloproteins, T.G. Spiro, ed.,. Vol 3., Wiley/Interscience, New York, 1988. 14. Biological Applications of Raman Spectroscopy: Resonance Raman spectra of polyenes and aromatics, T.G. Spiro, ed.,. Vol 2., Wiley/Interscience, New York, 1987. 15. Biological Applications of Raman Spectroscopy: Raman spectra and the conformations of biological macromolecules, T.G. Spiro, ed.,. Vol 1., Wiley/Interscience, New York, 1987. 16. R.A. Dluhy, S.M. Stephens, S. Widayati, and A.D. Williams, Spectrochim. Acta. Part A, 51, 1413 (1995). 17. A. Mahadevan-Jansen and R. Richards-Kortum, J. Biomed. Optics, 1, 31 (1996). T4.1 The Classical 90° Geometry T4- T4.4 Specialized Sampling Techniques T4- T4.4.3 Surface-enhanced Raman Spectroscopy T4-
T4.1 The Classical 90° Geometry The 90° illumination/collection geometry is derived from fluorescence spectroscopy. It is shown in Figure T4.1. The laser beam is focused into the sample and scatter is observed at 90° to the laser beam. Any convenient sample container can be used. Small vials and melting point capillaries are common choices for liquids. The same containers can also be used for finely divided solids, if the laser is focused onto the front surface of the container. Bulk solids can be held in place with any convenient clamping system.
The 90° geometry minimizes direct transmission of laser light into the collection optics and so reduces the burden on the laser light rejection components of the spectrograph. Optically and mechanically this sampling system is easy to implement. Polarization ratio measurements are straightforward in this design as well. For these reasons, the standard sample compartment on most instruments designed prior to about 1990 was a 90° design. The 90° geometry is, however, difficult to align, and experience is necessary for insuring good focusing and throughput. This is particularly true for solid samples which needed to be held at a precise angle. Thus in the majority of modern instruments, the 180° geometry has been adapted.
Multimode optical fibers make excellent general purpose sample delivery and collection devices. They are small, usable in the laboratory or for remote sampling, and they provide stable, reproducible signals from solids, liquids and gases. Most common optical fibers are designed to have ¦ /number close to ¦ /2. Prior to the development of the HoloSpec ¦ /2 axial transmissive spectrograph, however, it was difficult to make full use of this extraordinary light-gathering power. There are two different types of probes in common use in Raman spectroscopy: the concentric unfiltered fiber bundle or "n-around-1" probe and the filtered probe. [1] The fiber bundle is less expensive, while the filtered probe offers better signal-to-background in certain applications. Figure T4.2 shows the concentric fiber bundle probe used in the HoloLab 1000. It consists of seven 100 mm core optical fibers which are cemented into a metal or plastic cylindrical holder and then polished. The central fiber delivers laser light to the sample, while the surrounding fibers collect Raman scatter. The laser beam is focused into the delivery fiber with a microscope objective or other short focal length lens. For coupling to the spectrograph entrance slit, the output ends of the collection fibers are arranged in a line, as shown in the figure. The linearized bundle is placed directly against the entrance slit of a low ¦ /number spectrograph.
Probes containing between 6 and 18 collection fibers are used because a single fiber collects only about 10-15% as much light as a multi-fiber bundle. In most designs, input and collection fibers are identical. The fiber bundle can be inserted directly into a liquid or held a short distance from the surface of a solid. To avoid immersion in liquid, a relay lens can be used to operate the probe several centimeters or more from the sample. This is the approach taken with the unfiltered probe that is used with the HoloLab 1000. The optical fibers themselves are a significant source of background signal. Laser light travels down a meter of fiber or more, generating an intense silica Raman spectrum. Fluorescence from the fiber cladding and from the cement holding the bundle together is also generated. These signals emerge from the delivery fiber, along with the laser light. They are reflected from the surface of any liquid or solid and collected along with the Raman spectrum of the sample. Reflected laser light generates more background as it travels through the collection fibers. In most cases, the background can be subtracted adequately, but it may obscure weak Raman signals. These problems are eliminated in the filtered fiber optic probe, but at a substantial increase in manufacturing complexity and cost. Figure T4.3 shows the Kaiser Optical Systems Mark II filtered fiber optic probe. It uses a lens to focus filtered laser light from a delivery fiber onto the sample and to collect and collimate Raman scattered light. The collected light is focused onto a single collection fiber.
The light emerging from the delivery fiber is collimated and presented to a holographic transmission grating which diffracts the laser light to a spatial filter. Only the laser wavelength passes through this spatial filter. The collected Raman scatter, as well as Rayleigh scatter and reflected laser radiation, is passed to a pair of notch filters. These filters remove reflected laser light and avoid any fiber background generation as the collected Raman light travels to the spectrograph. The use of lenses allows efficient delivery and collection with single fibers. Fiber coupling lends many advantages in terms of sampling flexibility. Multimode optical fibers scramble the polarization of light transmitted through them. This reduces spectral artifacts induced by the polarization dependencies of the optical elements. Polarization measurements may still be made using fiber coupling, as shown in Figure T4.3. A polarization block is inserted into the Mark II probe which determines the polarization of the laser excitation and collected Raman signal. The Raman microprobe allows acquisition of Raman spectra with spatial resolution of 0.5-2 mm from small objects ranging from semiconductors to bacteria. The microprobe is a research quality epi-fluorescence microscope coupled to a Raman spectrograph. A major advantage of Raman spectroscopy is the high spatial resolution that can be obtained, typically on the order of 1 micron (compared to 10 microns with FTIR). Single mode optical fibers are used for delivery of the laser excitation to the Mark II probe. These small core diameter fibers (2-10 microns) allow for the high spatial resolution achieved by the HoloLab 5000 research Raman microscope, shown schematically in Figure T4.4.
Figure T4.4 Block diagram of microprobe. Light from the laser is focused onto the object, which is the material or organism under observation, and the back-scattered light is collected through the objective. The collected light is presented to a standard Raman spectrograph. The optical configuration is essentially that of an epi-fluorescence microscope. Green (532 nm) and red (633 nm) lasers are some of the most common sources. With either laser, the entire Stokes and the useful anti-Stokes spectrum will be in the 400-800 nm region, allowing the use of microscope objectives and other optical elements designed for visible light microscopy. Low laser power (5-50 mW, typically) is used to avoid burning delicate objects with the tightly focused laser beam. Almost all commercially available Raman microprobes include provisions for a small video camera which allows focusing and positioning the object without the use of conventional eye pieces. With the addition of a frame grabber, video provides a convenient means of image documentation as well. The Kaiser Optical Systems microprobe uses a unique optical fiber illumination system, instead of the direct illumination scheme employed in older instruments. [2] Optical fiber delivery simplifies and stabilizes the alignment of the instrument, eliminating the need for mounting a research Raman microprobe on an optical table. Most Raman microprobes use confocal optics. A confocal optical system blocks much of the light coming from above and below the plane on which the laser is focused. The major benefits are improved depth resolution and, consequently, an increased signal/background ratio in the Raman spectrum. The lateral spatial resolution is also improved somewhat. The principle is illustrated in Figure T4.5. The collected light is brought to a focus at the pinhole. If the pinhole diameter is smaller than the magnified diameter of the focused laser, most of the light from above or below the focus plane of the laser will be rejected. An adjustable iris is a common form of spatial filter. If the image is magnified to the proper size, then an optical fiber can be used equally well.
Because a confocal optical system attenuates the signal coming from out of the region of best focus of the microscope, it can provide improved signal/background ratios in Raman microspectroscopy. But by blocking about 90% of the light gathered by the microscope objective, the spatial filter also reduces the intensity by an order of magnitude. Visible light operation provides a major advantage over the infrared microprobe. Rayleighs criterion for the diffraction-limited resolution of a microscope is given by equation 1.
In equation 1, Dx is the minimum separation between resolved points, l is the wavelength and N.A. is the numerical aperture of the objective. The microscope objective focuses the input laser to a spot whose diameter is also given by equation 1. It is the radius of the focused beam which defines the diameter of the sampled region for microspectroscopy. Because visible lasers are used, Raman microprobes can acquire spectra with resolution about 0.5-2 mm. The spatial resolution is much better than the 10-50 mm obtainable with an infrared microscope. The use of visible lasers also allows use of specialized objectives with unique properties. Oil and water immersion objectives, which can have numerical aperture as high as 1.4, are the most important examples. They provide bright, high resolution images. Immersion objectives are unavailable for the infrared and are prohibitively expensive for the near-infrared.
T4.4 Specialized Sampling Techniques
Gases present special problems. At atmospheric pressure the number density of molecules is small compared to the number density of a liquid or a solid. Therefore, the spectra are inherently weaker than from solids or liquids. If the gas is enclosed in a bulb or other container - or in the open in applications such as combustion studies, relatively long integration times or high laser powers are needed to obtain spectra with high signal/noise ratio. This problem can be alleviated by use of a multipass cell similar to the White cell commonly used in gas phase infrared spectroscopy. Furthermore, bands are inherently narrow, and high (1 cm-1 or better) resolution is needed to resolve rotational structure.
It is difficult to observe Raman spectra of thin (<<1 mm) organic molecules or polymers in the conventional 90° or backscattering geometries. The number of molecules interrogated by the laser beam is small and the intensity of the Raman spectrum is correspondingly weak. There are several techniques for increasing the signal, which rely on increasing the number of molecules interacting with the laser beam, the power density at the sample or both. For thin films of transparent material, the most powerful of these is the wave guide technique, illustrated in Figure T4.6.
The laser beam is coupled into the film through a prism. Light will propagate through a film of thickness t if equation 2 is satisfied.
Here k=2p/l0 , l0 is the vacuum wavelength of light, q is the internal reflection angle inside the film, and d12, d23 are the phase shifts at the interfaces 1-2 and 2-3 respectively. Wave guiding is a form of internal reflection which occurs in thin films. More sophisticated multilayer wave guides which support wave guiding in even monolayer films have been used. These can be somewhat difficult to construct and operate, however. T4.4.3 Surface-enhanced Raman Spectroscopy Many different techniques have been used to prepare the roughened metal surfaces needed for surface-enhanced Raman spectroscopy. The effect was first discovered by electrochemists, and roughened metal electrodes are still widely used for SERS. Silver electrodes are prepared by cycling an electrode once or several times between potentials at which silver is oxidized and reduced. The amount of charge passed is usually about 50 millicoulombs per square centimeter of electrode. The properly prepared electrode has a matte tan appearance. Potential control is also used to determine whether the metal bears a net negative or positive charge. In this way one can preferentially adsorb anions or cations. Colloidal silver is prepared by reduction of silver nitrate solutions with either borohydride or citrate. Although initially quite small, colloidal silver rapidly aggregates to particle sizes of about 100 nm diameter, which are in the optimum range for SERS. Silver colloids are easy to prepare and generally give strong SERS because of their large surface area. Silver films can be deposited directly on many kinds of surfaces. Light coatings of silver on smooth glass form metal islands, which behave much like colloids. Etched glass, patterned silicon and other structured dielectric substrates can be used. Very reproducible gold surfaces can be prepared from colloidal gold attached by thiols to short hydrocarbon chains, which are in turn bonded to polymers or other base materials.
T5.1 Fluorescence and Laser Wavelength Choice T5- T5.2 Calibration Techniques T5- T5.3 Correction for Instrument Response T5- T5.3.1 Intensity Calibration T5- T5.4 Solution Handling Techniques T5-
Any wavelength in the ultra-violet (UV), visible, or near infra-red (near-IR) range will excite Raman scattering. Wavelength selection is based on several practical considerations. Short excitation wavelengths (blue or UV) provide higher Raman scattering intensity. Resonance enhancement usually requires blue or UV excitation, however luminescence is also efficiently excited. Luminescence backgrounds are particularly severe with excitation in the 300-550 nm range. These problems are less severe with excitation at wavelengths below 300 nm, but UV lasers and spectrographs remain expensive. Luminescence can be circumvented with deep red or near-infrared excitation. Of course, scattering efficiency declines rapidly with increasing excitation wavelength, and thermal background problems can be severe in the near-infrared. CCDs do not respond to wavelengths much longer than 1 mm. Near-infrared array detectors are available, but these are noisy and expensive. For 1 mm excitation, anti-Stokes detection is satisfactory, with array detectors, to Raman shifts as high as about 1500 cm-1. Several "compromise" excitation wavelengths are commonly used in Raman scattering. The 532 nm frequency-doubled diode pumped Nd-YAG laser (DPY) is the often the best general purpose choice. Scattering intensity is strong, background problems are not too severe in many cases, and spectrographs and detectors function well in the 530-650 nm Stokes shift wavelength range. The 532 nm DPY is available at power levels ranging from about 5 mW to 10 W. Where fluorescence minimization is the most important criterion, 780-785 nm diode lasers are used. The Stokes shift region is close to the red end of the CCD response, where scattering intensity is weaker than with green excitation, and instrumentation is generally more expensive. HeNe 633 nm provides an excellent compromise among cost, scattering intensity and fluorescence minimization. Fluorescence backgrounds are at manageable levels in many systems, and scattering intensities are reasonably strong. HeNe lasers are inexpensive and reliable, and standard visible region optical components and CCDs can be used. For these reasons, the HeNe laser is used in the Kaiser HoloLab 1000. A CCD detector simply records light intensity at each pixel, yet does so through a window over 3000 cm-1 long. Consequently, dispersion of the spectrum is not quite linear with wavelength over the whole observation range. The spectrograph must be calibrated. There are two common methods: calibration against a spectral discharge lamp; and calibration against a reference material, such as indene, whose Raman spectrum has been carefully measured. Neon and argon lamps are the most common choices. Their spectra are accurately known, and the lamps are inexpensive and readily available. Figure T5.1 shows the neon spectrum in the HeNe Stokes shift range (633-800 nm).
The empirically-determined constants, k0...k3, will be more accurate if a large number of reference lines, distributed across the window, are used. It is good practice to calibrate an instrument frequently, even with an instrument which has excellent wavelength stability, such as the HoloLab 1000. Stored calibrations can be used for non-critical measurements. Recalibration may be necessary if the optical fiber probe has been removed from the spectrograph and replaced. It will definitely be necessary if the slit has been moved. Periodic recalibration is recommended even if there have been no changes in probe or slit position. T5.3 Correction for Instrument Response T5.3.1 Intensity Calibration The spectrograph grating transmission (or reflectance, in a reflection grating instrument) is a function of wavelength. CCD response is a function of wavelength as well. In addition, the response may vary from pixel to pixel by as much as 10%. To correct for these inefficiencies, a "flat-field" spectrum can be measured using a broad band light source which has nearly the same intensity at all measured wavelengths. Correction by ratioing the response to a uniform, diffuse light source solves both problems. Room daylight may be used.
The collection efficiency of an optical fiber probe is a strong function of sample position. The probe must be placed at a constant distance from the surface of a liquid if reproducible intensities are needed. Careful probe placement is especially necessary with irregular solids. It is difficult to make absolute intensity measurements of scatter from solids, but with a little practice ±20% reproducibility is possible. Because it is difficult to control collection efficiency tightly, the use of internal standards is common in quantitative Raman spectroscopy Solution Raman spectroscopy is possible with almost all solvents. Laboratory distilled or de-ionized water is satisfactory. ACS reagent or other high purity organic solvents can be used. Of course, it is desirable to choose a solvent whose own Raman spectrum contains as few bands as possible near the bands of the analyte. Even where this is impractical, solvent background subtraction is quite satisfactory. With a stable modern instrument such as the HoloLab 1000, subtraction of 10X-100X backgrounds is feasible. While it is possible to obtain spectra from turbid solutions or even slurries, probe-generated background will be smallest from clear solutions. Filtration through a 0.5 mm membrane filter is usually adequate to remove particulates.
T6.1 Special Data Analysis T6- T6.1.1 Silica Background Subtraction T6- T6.1.2 Fluorescence Removal T6- T6.2 Normal and Resonance-Enhanced Raman Spectroscopy of Foodstuffs T6- T6.2.2 Experimental and Analysis T6- T6.3 Thermodynamics of Hydrogen Bonding in a Benzoic Acid Solution. Raman Thermometry T6- T6.3.2 Experimental Procedure and Discussion T6- T6.4 Crystal Lattice Modes and Bonding Differences in Graphite and Diamond T6- T6.4.2 Experimental and Discussion T6- T6.5 Surface Enhanced Raman Spectroscopy of Pyridine on Silver Colloids T6-
Most of the experiments described here require some level of mathematical data analysis. While the experiments and data analysis discussion below assume the use of GRAMS/32 analysis routines, similar procedures can be carried out using many other spectral or mathematical analysis packages. If a different package is to be used, the manual for that package should be consulted. If the data needs to be exported to a program other than those that are explicitly supported by HoloGRAMS, the File : Save As Text option can be used to save the data to a text file which can be read by many packages. There are many important spectral manipulations that can be performed in GRAMS/32. The user is directed to the GRAMS/32 manual for descriptions of several of the standard procedures including, for example, spectral smoothing and peak integration. Here we describe several important and non-standard manipulations that the user may find useful. T6.1.1 Silica Background Subtraction As discussed previously, the unfiltered fiber probe simplifies sampling but it also introduces several broad silica bands between 300 and 900 cm-1. Because many useful bands fall in this range, removal of these signals is important. We present here a simple procedure to remove these bands from collected spectra, regardless of how intense the bands are in a particular spectrum. Because sodium chloride has no Raman spectrum in the range of interest, a spectrum collected from a granular sample of NaCl will contain only the silica Raman spectrum back-scattered from the crystals. This spectrum can then serve as a general background spectrum to remove probe-generated silica Raman from other spectra. In practice, this is easiest to do by subtracting the background spectrum from the sample spectrum after weighting the background by some factor. One can, for each of the sample spectra, adjust the scaling factor until the silica Raman has been removed. Complete removal of the background silica can be gauged by disappearance of peaks in the region where the silica bands appear. This can be done easily in GRAMS/32 using the Arithmetic : Subtract function. Figure T6.1 illustrates the effect of background removal on a sodium carbonate spectrum. The silica spectrum used in the subtraction also shown. Note that if the fluorescence background in the silica spectrum is greater than in the sample spectrum, the baseline may become negative after subtraction. This fluorescence can be removed in the same way as a broad positive background, the procedure for which is described later.
Figure T6.1 The spectrum of sodium carbonate (a) before and (b) after the removal of the background Raman signal from silica. Also shown is the background silica Raman spectrum used in the subtraction, as collected from a sample of sodium chloride (c).
Many interesting samples are fluorescent. It is feasible to remove backgrounds as large as 10X-100X from spectra, however, integration times must be short to avoid saturation of the detector and it may be necessary to average several spectra to obtain an adequately large signal to noise ratio. There are many approaches to removing fluorescence background. Here we describe a nonstandard background subtraction procedure that can often be used with data acquired using the HoloLab 1000. The GRAMS/32 software provides several methods by which a changing baseline can be removed. The standard set of baseline adjustment algorithms is found under the Arithmetic : Baseline menu. For narrow spectral ranges in which the baseline is nearly linear, the "two-point level" utility works well. If the baseline is not linear, as is often the case, one of the other methods must be used. While the "multi-point" and "function fit" utilities are straightforward, they require the user to enter specific points at which it is believed there is no signal, only background. User bias can lead to irreproducible or inaccurate results. None of the functions available are good approximations to the Gaussian line shapes often observed for fluorescence backgrounds. Even for small spectral regions these functions may introduce artifacts that complicate interpretation. It is worth experimenting with these approaches to understand their use and difficulties. An alternate method for background removal uses the Arithmetic : Peak Fit utility in GRAMS/32. When the background is much larger than the Raman signal, fitting the spectrum to a Gaussian peak can approximate the shape of the background. The fitted Gaussian band can then be used to remove the background, leaving only the variations due to the signal. Because the peak fit utility operates on all points in the spectrum, whether background or Raman scatter, this procedure works best when the signal is at least 10 times lower in intensity than the background. The peak fit utility requires that only one spectrum be loaded. Any additional spectra will be cleared from memory whether or not they have been saved. Because best results are obtained on smaller (<1500 cm-1) regions of the spectrum, a region of interest should be selected by clicking and dragging open a selection box. If needed, multiple regions can be background-subtracted separately and combined afterwards. Run the peak fit utility. Use the Options button and set the Use baseline option set to "No" and Peak types to "same" with a "Gaussian" function. Press OK. Peaks should be entered by clicking the right mouse button approximately 200 to 400 cm-1 apart across the entire spectral range displayed. Using the Parameters button, set a Lo Limit of 200 cm-1 on the width of the currently selected peak. Each peak can be selected in succession by using the Next and Back buttons. When the width limit has been set for all of the peaks, press the OK button. The limit on the width will prevent fitting to narrow peaks, i.e. to Raman spectral features. The number of peaks and lower limit can be adjusted for best results. Select Done, Iterate, and then Start Fit to begin fitting the data. Select Leave Alone if any warning messages are given. If many warning messages appear, stop the fit and restart with fewer peaks. When the final result is obtained, select Quit and Exit (Ignore the message asking you to save results; they were automatically saved). The generated background spectrum is stored in the file curvefit.spc. It can be subtracted from the original data using Arithmetic : Subtract. The procedure can be repeated for other sub-regions of the spectrum. Several different initial peak placements and number of peaks should be tried for each sub-region to obtain the best result. Smoothing of the results may also help analysis.
T6.2 Normal and Resonance-Enhanced Raman Spectroscopy of Foodstuffs Raman spectroscopy can be a unique and informative tool for the study of many biological systems because of the large number of active vibrational modes and the relative lack of spectral interference from water. In this experiment, the utility of Raman spectroscopy will be demonstrated using a carrot and both the albumin (white) and yolk from a chicken egg. The egg albumin consists of water (88%), proteins (11%) and a small amount of lipids, glucose and inorganic ions. [1,2] Two proteins, ovalbumin and conalbumin, make up 70% of the protein content. The strongest of the protein peaks is the amide I band which falls between 1640 and 1660 cm-1. The egg yolk contains 47% water, 33% lipids, and 17% proteins. The yolk also contains yellow-orange carotenoids. Even with red excitation, pre-resonant enhancement (i.e. a laser wavelength slightly to the red of the electronic transition) of the Raman spectrum is observed. The C=C stretches in the 1500-1600 cm-1 region and the C-C stretch in the 1100-1200 cm-1 region are strongly enhanced. Carotenoids are also responsible for the color and strong Raman bands of carrots.
T6.2.2 Experimental and Analysis Required Equipment and Chemicals. 1 Chicken Egg 1 Carrot 2 glass vials (1 dram) razor blade/knife optional: drying oven Sample Preparation.
While the yolk is drying: Data Collection. Because both egg components and carrots fluorescence in 633 nm light, each sample will require multiple acquisitions at short exposure times. Some experimentation will be required to determine the optimum conditions. An exposure time that is too long will result in a red Fill indicator on the Acquire Control Panel. Note that for the egg spectra, the low-signal Raman features will be superimposed on a significant fluorescent background. The Raman spectrum may, in fact, not be easily seen until the data has been baseline corrected and the features rescaled. On the other hand, the carrot spectra will contain obvious Raman features because of the resonance enhancement.
Data Analysis. In the egg spectra, the most interesting protein and carotenoid bands are located between 800 and 2000 cm-1 as shown in Figure T6.2. This is the only region in which the fluorescence background needs to be removed. The Raman spectrum from the carrot will be visible even without background subtraction, as shown in Figure T6.3a. Background subtraction is needed to obtain results resembling Figure T6.3b.
Figure T6.2 Raman spectra of (a) egg albumin and (b) dried egg yolk. Average of 4 exposures at 50 seconds each.
Figure T6.3 Raman spectrum from a carrot slice (a) before background subtraction and (b) after background subtraction (scaled x3). Exposure time of 20 seconds. The most notable difference between the spectra of the yolk and the albumin is the presence of the 1161 and 1526 cm-1 bands in the yolk spectrum. These bands, from egg carotenoids, are not present in the albumin. The amide I protein band near 1650 cm-1 is present in both spectra but is slightly shifted between the two.
T6.3 Thermodynamics of Hydrogen Bonding in a Benzoic Acid Solution. Raman Thermometry Raman frequency shifts are sensitive to both intra- and inter-molecular forces. For example, changes in hydrogen bonding affect the many overlapping OH stretches observed for water in the 3100 to 3600 cm-1 region of the Raman spectrum. Water clusters are in thermal equilibrium, so the Raman spectrum changes with temperature. Component intensities change, and the temperature of an aqueous solution can be calculated from the shape of OH stretch envelope. [3] Changes in hydrogen bonding also cause changes in the vibrational frequency of the CO stretching frequencies of both the protonated and deprotonated forms of benzoic acid. The changes are relatively small, and precise temperature measurements are difficult with a moderate-resolution instrument. In this experiment, spectral changes caused by changing the temperature of a benzoic acid solution will be used to correlate spectral changes with temperature and hydrogen bonding. The water OH stretching band is comprised of many different bands which contribute to the overall broad shape. Two sub-regions are important here: the lower energy 3100 to 3350 cm-1 region in which the stretches of tightly hydrogen bonded (HB) water OH are found and the 3350 to 3600 cm-1 region in which the stretches of weakly and even non-hydrogen bonded (NHB) water are found. Because the intensity observed in these two regions is related to the population of water molecules of each type, a ratio of the intensities is related to the equilibrium between NHB and HB water.
A ratio of the intensity of these two regions and the temperature, T, can be related by
in which INHB and IHB are the integrated intensities from the weakly hydrogen bonded and strongly hydrogen bonded regions, respectively, and m and b are empirically determined constants for a given solution. Equation 1 is strictly valid only if there is a single equilibrium process connecting the band intensities in the two regions. Although there are many equilibria contributing to the band shape, division of the OH stretch envelope into these two components allows surprisingly accurate thermometry.
Required Equipment and Chemicals. Solid sodium benzoate (99% pure) 10 to 25 mL deionized water Glass vial (1 dram) Hot plate or Water bath Thermocouple or Thermometer Sample Preparation. Prepare a 0.2 M solution of the sodium benzoate in the deionized water. Data Collection.
Figure T6.4 The temperature dependence of the Raman spectrum of 0.2 M sodium benzoate solution in the OH stretch region. The benzoic acid C-H stretch is also visible Does this/should this band have frequency or intensity temperature dependence?
Figure T6.5 Logarithm ratio of integrated band areas (weakly-hydrogen bonded to strongly hydrogen bonded) as a function of reciprocal temperature, K-1. The best-fit line has a slope of 660 K and an intercept of -1.89. The temperature dependence of the CO stretch of benzoic acid and benzoate are shown in Figure T6.6. Over the entire temperature range, the carboxyl CO-stretch shifts about 4 cm-1 and the carboxylic acid CO-stretch shifts about 2 cm-1. These easily measured changes can be related to the temperature-dependent hydrogen bonding forces.
Figure T6.6 Temperature dependence of the Raman spectrum of (a) deprotonated and (b) protonated benzoic acid in the carbonyl region. Spectra are offset vertically for clarity.
T6.4 Crystal Lattice Modes and Bonding Differences in Graphite and Diamond In extended networks such as in crystals and polymers, vibrational modes of the extended lattice are observed. These vibrations do not follow quite the same rules as the more familiar intra-molecular vibrations. This experiment utilizes graphite and diamond to demonstrate the effect of lattice structure on vibrational frequency and intensity. The disordered carbon network present in graphite leads to relatively low vibrational energies and poor scattering efficiency relative to the highly ordered and cross-linked network present in diamond. Silicon from integrated circuit chips is used to further illustrate lattice modes.
Required Equipment and Chemicals. Graphite atomic absorption furnace / Graphite powder Diamond jewelry item Silicon from an integrated circuit / computer chip Sample Preparation.
Data Collection. The focus of the laser should be adjusted to the surface for the graphite sample or just inside the surface for the diamond. Adjust the acquisition time until sufficient Raman signal is observed at the representative band as discussed below. Data Analysis. The graphite and diamond spectra are shown in Figures T6.7a and T6.7b, respectively. The area under each curve should be calculated using the Arithmetic : Integrate function of GRAMS/32. To compare band intensities observed for the two samples, the total intensity of each sample should be divided by the total integration time to get integrated counts per second. Collection efficiencies will affect the integrated intensities, but the difference in scattering efficiencies for the two materials contributes to the result.
Silicon can be obtained from any integrated circuit (IC). Carefully break open a package using two pairs of pliers to exert a slight twisting force along the narrow axis of the chip. It may take two or three tries to open a package without completely destroying the silicon chip inside. In many cases, the silicon will be fastened to the case with a highly fluorescent compound. Measurement of the silicon spectrum done on a cleaved edge of the wafer avoids the fluorescence. A larger integrated circuit will make collection and measurement of a clean edge easier. If available, an erasable memory chip (often called an EPROM) can be used to demonstrate the difference between standard silicon and silicon that has been doped to allow light sensitivity. Examples of both types of silicon are shown in Figure T6.8.
T6.5 Surface Enhanced Raman Spectroscopy of Pyridine on Silver Colloids Silver colloids are common and easily prepared SERS substrates. The colloids work very well to induce the SERS effect with a variety of chemicals. In this experiment, the SERS effect will be demonstrated using pyridine adsorbed to silver colloids.
T6.5.2 Experimental and Discussion Required Equipment and Chemicals. Silver nitrate (>95% pure solid) Citric acid (>95% pure solid) Pyridine (pure liquid) 0.1 M hydrochloric acid solution Deionized water 2 Glass vials (2-3 mL volume)
Sample Preparation. The colloid solution is prepared as follows. [4,5] Note that the first four steps can be performed in advance of the data collection if the prepared solutions are stored in sealed, dark containers after their preparation. The volumes can also be adjusted for larger quantities of solution.
With the focus of the laser just inside the glass vial, only short (ca. 30 sec) exposure times should be necessary. An example of the Raman spectra obtained from the analyte and blank solutions is shown in Figure T6.9. The surface enhancement is easily observed as indicated by the asterisks.
1. P.R. Carey, Biological Applications of Raman and Resonance Raman Spectroscopies, Academic Press, New York, p. 71, 1982. 2. P.C. Painter and J.L. Koenig, Biopolymers 15, 2155 (1976). 3. K.L. Davis, K.L. Liu, M. Lanan, and M.D. Morris, Anal. Chem. 65, 293 (1993). 4. P.C. Lee and D. Meisel, J. Phys. Chem. 86, 3391 (1982). 5. R.S. Sheng, L. Zhu, and M.D. Morris, Anal. Chem. 58, 1116 (1986). |