Journal of Molecular Structure, 173 (1988) 129-140 Elsevier Science Publishers B.V., Amsterdam - Printed in The Netherlands
PHOTOTHERMAL
H. COUFALl
AND PHOTOACOUSTIC
129
SPECTROSCOPY
and J. F. McCLELLAND2
1IBM Almaden Research Center, K33/802, San Jose, California 95120-6099 (USA) Mmes
Laboratory-U.S.D.O.E.,
Iowa State University, Ames, Iowa 50011-3020 (USA)
SUMMARY Photothetmal and photoacoustic spectroscopy rely on the detection of thermal or acoustic waves generated by the absorption of optical radiation and subsequent radiationless deexcitation. The principles of these spectroscopic techniques as well as most recent experimental developments are discussed. The potential and the limitations of these techniques are highlighted with typical applications.
INTRODUCTION In photothermal a modulated
(PT) or photoacoustic
(PA) spectroscopy
or pulsed light source. Subsequent
rise to thermal wave phenomena.
the sample under study is excited with
radiationless
A suitable temperature
radiation induced heating of the sample (Photothermal
decay causes local heating, giving
sensor can be utilized to detect this
effect).
Due to thermal expansion sound
waves are generated at the same time. They can be detected with a microphone detectors. effect.
This detection
scheme is frequently referred to as the photoacoustic
Both, PT and PA spectroscopies
and techniques
complement
conventional
such as specular, diffuse or internal reflection.
field is documented
by a number of rather comprehensive
articles (refs. 5-8). Up to date information
transmission
of international
conferences
on photoacoustics
body of literature and to allow a prospective
assessment
of the potential
compared in detail. applications.
of photothermal
Recent developments
spectroscopy, sample.
spectroscopy
the physical
Various detection schemes are are highlighted with typical
and trends in this field are presented.
optical spectroscopy
to determine the optical properties
this
user of this technique a critical
and photoacoustic
process are described.
(refs. 9-10) and the
(refs. 11,12). To complement
Potential as well as problems of these techniques
With conventional
of this
books (refs. l-4) and excellent review
on the current status of the lield can be found in
substantial
principles of the signal generation
spectroscopy
The growing importance
recent special issues of journals that were dedicated to photoacoustics proceedings
or other sound or optoacoustic
the transmitted
of the sample.
or scattered radiation is analyzed
In photothetmal
and photoacoustic
however, the absorbed energy is detected as radiation induced heating of the
Weakly absorbing
this type of spectroscopy
samples, such as surfaces or thin films, are particularly
difference between incident and transmitted
light intensity.
Highly absorbing samples are another
class of materials, that can be addressed by these spectroscopies, 0022-2860/88/$03.50
suitable for
because the absorbed energy is determined directly and not as the small
0 1988 Elsevier Science Publishers B.V.
due to the fact that no
transmitted
or reflected light has to be analyzed.
considerable
For optical transmission
spectroscopy
effort has to be spent to prepare samples such that the transmitted
analyzed and the optical properties or no sample preparation spectroscopy
at all is required.
light can be
For PT measurements
of the sample derived.
This makes photothermal
the method of choice for biological, pharmaceutical
and photoacoustic
or technical samples.
The fact that besides optical also thermal and in the case of photoacoustics properties
of the sample are involved in the signal generation
these detection schemes. spectroscopic
techniques
these techniques
highlighting
In a prototypal
experiment (Fig. 1) a homogeneous
or pulsed light source.
by a wavelength
dependent
of
in the sample can be
length A(A)
coefficient of the sample.
processes part of the absorbed energy is released as heat.
Due to radiationless
With the incident energy being either
or pulsed, the heat generation will show a corresponding
diffusion then a temperature
sample with thickness T
The light absorption
optical absorption
with /?(A) the commonly used optical absorption
modulation
The physical principles of these the power and the limitations
PROCESS
photothermal
is excited with a modulated
modulated
problems to be adressed,
are discussed in the following paragraphs.
SIGNAL GENERATION
characterized
of spectra considerably.
as well as applications
even acoustic
process is the main drawback of
These effects allow many nonspectroscopic
but can complicate the interpretation
only minimal
profile develops in the sample.
time dependence.
Via heat
For a heat source with the
frequency f the heat diffusion can be described by the thermal diffusion length D D(f)=
k denoting the thermal conductivity,
J
k npcf ’
p the density and c the specific heat of the sample.
amplitude of a thermal wave is attenuated
The
by a factor of e-2’r, i.e.. 2 x 10m3, when diffusing one
diffusion length (ref. 13). Therefore, only heat generated within one thermal diffusion length of a sample surface will be able to reach this surface with an appreciable magnitude. is in contact with another medium thermal waves are reflected and transmitted
If the sample
at the interface.
Heat diffusion extends into the second medium according to Eq. (2) with the material parameters of that medium instead of the sample properties. The transient temperature medium, is accompanied
profde in the sample, and where applicable also in the adjacent
by a stress profile due to thermal expansion.
Sound waves are hence
generated in the sample, at the surface or interface and in the adjacent material. waves, being essentially unattenuated over long distances.
in the frequency range considered here, can then propagate
If the heat generation
addition buckle slightly.
These sound
is sufficiently localized the surfaces or interfaces in
131
Samole Thickness
T
---
’ f
/ f
t
Diffusion
Samole
Absorbed Light
Length
Layer within diffusion Length of Surface
D
Layer that Causes Signal
Fig. 1. Schematic of the photothermal signal generation process. absorption and diffusion length please see the text.
For deftitions
All detection schemes that directly or indirectly detect the temperature surface will have to deal with the peculiar character of thermal waves.
of the
at the sample
Due to the fact that
thermal waves are critically damped .
the detector has to probe the temperature
within one thermal diffusion length of the
excited area and .
only energy deposited within this distance is effective in signal generation.
In this regard thermal wave detection is completely different from conventional
optical detection
and leads to the unique features of PT spectroscopy. In an optically opaque sample with thickness T>A(I),
such as shown in Fig. 1, the
radiation induced heating can always be observed at the illuminated side of the sample. back side a temperature
On the
increase is, however, only noticeable when light is absorbed within one
thermal diffusion length of the back side, i.e. the condition T-A(A)
of the sample such as p(A), k, p and c but also an experimental
frequency f. Acoustic detection schemes seem to overcome that
problem, since sound waves are essentially unattenuated
in the frequency range discussed here.
An acoustic detector can therefore be far away from the illuminated area of the sample. however only true for those detection techniques Sample thickness is then of no concern.
It is, however, important
wave serves only as a carrier of the thermal information. signal will depend on the temperature
distribution
This is,
that probe sound generated in a bulk sample. to remember that the sound
The amplitude of the observed acoustic
in the heated sample volume and the adjacent
132 medium, both determined
again by the thermal diffusion length D(l) and the optical absorption
length A(1). For spectroscopy
therefore the relation between these two parameters
has to be
analyzed. Whenever the thermal diffusion length D(I) is larger than the optical absorption A(A), D(f)>A(A), and the sample thickness T is larger than the absorption incident energy is absorbed and contributes absorption
length
length, T>A(J) alI the
towards the observed signal. A small variation of the
coeflicient does in this case not at all change the observed signal! The signal is
saturated and the observed signal is proportional reflectivity of the sample. the modulation
to the incident energy and (l-R), R being the
This condition can be avoided by using a thin sample or by increasing
frequency until D(f)
A sample with an optical absorption
length smaller than the sample thickness A(A)
absorbs all the incident light, hence no light is transmitted. accessible to conventional
transmission
spectroscopy.
Such an opaque sample is not
If the thermal diiusion
length D(f) is,
however, smaller than the optical absorption
length A(1), D(f)
this thermal diffusion length is proportional
to the absorption
coefficient p of the sample.
to the fact that the thermal diffusion length decreases with increasing modulation
according to Eq. (2) this condition can, at least in principle, be fulfiied by modulating enough a frequency.
Photothennal
spectroscopy
Due
frequency at high
thus allows recording of spectra of opaque
samples.
At very high modulation
frequencies
the signal. When using a lower modulation layer generate the signal. By comparing surface absorption
only light absorbed in the surface layer contributes
spectra at various modulation
can be readily distinguished
from bulk absorptions.
profile of a layered structure can thus be obtained in a non destructive
In conventional
optical transmission
spectroscopy
occurs has to be known to allow a determination be cumbersome
to
frequency the same surface layer and the adjacent
In principle the depth manner.
the path length along which absorption
of the absorption
for rough samples, fibers or powders.
frequencies therefore
coefficient.
In PT spectroscopy,
A task that can
however, it is
sufficient to assure that the thermal diffusion length is smaller than the relevant sample dimension such as grain size or fiber diameter, to obtain a qualitative absorption practical applications required.
a qualitative analysis is sufficient.
For quantitative
procedures
spectrum.
For many
In that case no sample preparation is
analysis, however, also in PT spectroscopy
extensive calibration
are required.
In spectroscopy of particular interest.
samples with a wave length variable absorption
coefficient are of course
Different parts of the spectrum might then have an absorption
length
A(1), possibly varying from larger than the selected thermal diffusion length to much shorter (Fig. 2). In this case parts of the spectrum where D(f)>A(I), will be saturated. modulation consideration
i.e. with large absorption
frequency and the thermal properties
of the sample.
spectra of the same sample will be dependent
3). Furthermore be quite different.
coefficient /I,
On the other hand the thermal diffusion length D(f) is a function of the According to the above
on the modulation
frequency (Fig.
spectra of samples with identical optical but different thermal properties might The same holds true for samples with identical light absorption
but diITerent
133
Spectroscopy of Thermally Thick Sample D < T Condition
Optically
Signal
.(1-R) A
Opaque None
HI-R) ._
D
Opaque None
P( 1-R) T-D
Opaque
.-
$1-R)
P(l-RI T
L
-.-.P.-.-
v
Transparent P(l-RI
; H T
Fig. 2. Schematic of the photothermal signal generation process in a thermally thick sample as a function of absorption length A. Shown is the relationship between thermal diffusion length D and sample thickness T for an increasing A (I-IV). For these cases, characterized by the relationship between the parameters, the variation of the photothermal signal with optical reflection coefficient R and absorption coefficient /I of the sample is given for detection on front and back side, respectively. See Fig. 1 for the definition of the symbols and the text for more details.
134
Spectroscopy of Optically Opaque Sample A < T Condition
Thermallv
Signal P(l-RI
Opaque None
(1-R) A<
D
Opaque None
(1-R) T-A<
D< T
Opaque + (I-R)
(1-R) T
IV
Transparent (1-R)
L_________
f
Fig. 3. Schematic of the photothermal signal generation process in an optically opaque sample as a function of thermal diffusion length D. Shown is the relationship between optical absorption length A and sample thickness T for an increasing D (I-IV). For these cases? characterized by the relationship between the parameters, the variation of the photothermal srgnal with optical reflection coeIIicient R and absorption coefficient /I of the sample is given for detection on front and back side, respectively. See Fig. 1 for the definition of the symbols and the text for more details.
fluorescence yields and therefore different heat generation.
Photothermal
and photoacoustic
spectroscopy
thus requires particular care in the selection of the modulation
consideration
of thermal sample parameters
generation
process.
frequency; careful
and thickness; and an understanding
of the signal
135 DETECTION
METHODS
Determining of thermometry
the temperature
and calorimetry.
or the energy of a sample has traditionally
been the domain
In the last years interest in radiation induced thermal and
acoustic processes increased substantially
due scientific and industrial applications
of lasers. A
number of classical detection schemes were adapted for this particular type of application
and
new detection methods were developed.
Detectors tie into various stages of the signal generation
chain described above.
detection schemes the radiation induced temperature
In photothermal
increase in the sample or at the sample surface is monitored by measuring either the temperature directly or a temperature and optoacoustic
dependent
property of the sample or of the adjacent medium.
Photo-
methods detect the acoustic waves caused by the radiation induced heating of
the sample itself or a gas or a liquid that is in thermal and/or acoustical contact with the sample. For experiments thermocouples
with the emphasis on surface temperature
classical temperature
sensors such as
are clearly the method of choice because they are easy to calibrate and convenient
to use. For spectroscopic
measurements,
however sensitivity and convenient
coupling of the
detector to the sample under study are the main concern. The transient heating of a pyroelectric material can for example be detected via the induced electrical charge or current.
As a matter of fact most commercially
available laser power meters
function on this basis. A variation of this technique uses a pyroelectric calorimeter as substrate for the sample of interest. sensitivity of nanojoules
Utilizing a pyroelecttic
thin film calorimeters
combined with a time resolution
(ref. 14) recently a
of nanoseconds
was achieved.
This
technique is, however, restricted to pyroelectxic samples or thin films that can be directly deposited onto a pyroelectric
substrate.
In contrast photothermal radiometry can be utilized with bulk samples and is in addition a noncontact
technique.
Blackbody radiation from the sample is imaged onto a suitable infrared
detector (ref. 15). A change in surface temperature
then effects a change of the observed signal.
These detectors require cryogenic cooling to reach acceptable sensitivities. detector is typically accompanied A number of techniques light source.
High sensitivity of the
by low time resolution.
utilize a probe laser to detect thermal effects caused by another
The power of the probe laser is typically orders of magnitude smaller than that of
the excitation source and different wavelengths
are commonly used. A change in temperature
in
the sample or the adjacent medium is associated with a change in the refractive index of that material.
This change in refractive index causes a change in the reflection or transmission
of the
probe laser (ref. 16). Recently variations of this technique (refs. 17,18) achieved a time resolution of the order of 10 picoseconds!
The refractive index gradient caused by the temperature
gradient
in the sampie cr the adjacent medium forms a transient thermal lens capable of deflecting a probe laser (ref. 19). The same is true for the surface buckling due to localized heating (ref. 20). In a similar fashion acoustic wave fronts give rise to refractive index gradients. surface displacement
(ref. 21). All probe laser techniques are therefore noncontact optically flat samples.
These, as well as
due to acoustic waves can be probed by lasers or other optical techniques techniques.
have the advantage
of optical excitation and probing and
They require, however, careful alignment of two lasers, and
136 Piezoelectric transducers (ref. 22), attached
to the sample under study convert the sound
waves that are generated in the sample into an easily recorded electrical signal. Their main drawback is the requirement in acoustic detection, time resolution.
such as sensitivity to acoustic noise and trade-offs between sensitivity and
Their main area of application
use in spectroscopy transparent
for good mechanical contact with the sample and problems inherent is, therefore, in ultrasonic material testing; their
is limited mainly to weakly absorbing
materials.
samples such as adsorbates
The same holds true for special transducers
or
employed for the detection
of surface acoustic waves (ref. 23). If the sample can be in contact with a gas atmosphere microphones
are frequently used for detection (see, for example, ref. 2). Beside requiring a gas
filled cell to contain the sample the frequency range of microphones suppression
of acoustic noise poses restraints
is rather limited and
on such systems.
An evaluation of the pros and cons of the major photothermal
and photoacoustic
detection
schemes shows that each of the detectors has its merits, making it the prime choice for certain applications.
As should be evident from the above discussion, the signal generation and detection
process can be rather complicated
and may involve a large number of individual processes.
substantial loss in sensitivity and time resolution is associated. process.
These losses become particularly
signal generation chain.
Microphone
with each diffusion or conversion
significant when detection occurs at the end of the
detection in particular has low signal generation
and time resolution and requires the most elaborate theoretical interpretation
of the observed signals.
A
efftciency
models for the quantitative
However, even with these limitations high signal-to-noise
spectra can be obtained using a microphone.
The spectra can be readily interpreted
due to the
long history and large body of literature associated with this approach.
SPECTROMETER. A typical photothermal
spectrometer
consists of a suitable light source, the detector and
signal recovery electronics (Fig. 4). To eliminate the wave length dependence thermal parameters normally employed.
of the sample and the characteristics
of the source, the
of the detector a reference sample is
Reference data are obtained in a single beam spectrometer
the sample spectrum or in a dual beam arrangement Due to the strong influence of the modulation at the same modulation
simultaneously
before or after
with the sample spectrum.
frequency it is imperative to record both data sets
frequency with samples of identical or well known thermal
characteristics. Normally the light source will be intensity modulated by suitable means, such as current modulation advantageous interest.
of a lamp or a mechanical chopper. when small absorptions
Where applicable a modulation
modulation) characteristics
or other physical parameters can be used.
Wavelength
superimposed
or polarization
on a large background
of the absorption (Temperature)
properties
modulation absorption
are are of
of the sample (Stark
that allow a modulation
of the sample
137
Slgnal
Fig. 4. Schematic of a photothermal
spectrometer.
Mostly sinusoidal or square wave modulation
of the incident light intensity is employed
(refs. l-4). In this case a lock-in amplifier is the adequate tool for signal recovery. emphasized
that if a source of constant intensity is modulated in this way the energy per
excitation cycle decreases with increasing modulation frequencies,
It should be
frequency.
The signal at high modulation
desirable, for example, because of the above considerations
on saturation,
will then
be extremely weak.
Excitation with a short light pulse has the advantage of generating a higher
surface temperature
than with the same energy in a longer pulse or a periodic excitation,
the fact that heat loss during the short pulse can be neglected.
signal/noise ratio but might damage the sample irreversibly or affect temperature properties.
With pulsed excitation box-car integrators
another modulation
data by cross correlation advantage
Tie
of the complete time
into the frequency domain (ref. 25). Recently
scheme is emerging using noise modulation
transient digitizers for data recording.
sensitive sample
are frequently used to monitor the signal
in a small time window (ref. 24). Transient digitizers allow acquisition domain signal and if desired transformation
due to
This results in a superior
(ref. 26) of the light source and
domain type results can then be obtained from the
(ref. 27), frequency domain data by Fourier analysis (ref, 25). The
of this new technique is that many modulation
frequencies are probed simultaneously
and therefore depth profnes can be obtained in a small fraction of the time required for recording spectra subsequently
at several modulation
intensity that is modulated
frequencies.
by an external modulator,
of the light intensity than any other modulation interference
noise modulation
scheme.
makes more efficient use
The intensity modulation
due to the
fringes can be utilized when a commercial rapid scanning FT-IR spectrometer
as the light source. modulation
Assuming a light source of constant
is used
One should, however, be aware of the fact that this results in a much lower
frequency for the long wavelength
wavelength part of the same spectrum. wave numbers due to saturation!
side of the spectra as compared to the short
Therefore a spectrum might be partially distorted for high
138 With conventional obtained.
Nevertheless,
light sources only a limited spectral, time and depth resolution high sensitivity, instrumental
preparation
make photothermal
detection an interesting
techniques,
such as diffuse or internal reflectance spectroscopy
however, offers a unique combination
of advantages
alternative
examples will be presented underlining
to more established
(ref. 28). Photothermal
detection,
that is not available with other techniques
when combined with the high spectral and time resolution paragraph
can be
simplicity and a minimum of sample
of laser excitation.
In the following
some of the above features.
APPLICATIONS Among the numerous applications noteworthy:
The state of microphone
of PT spectroscopy
two might be particularly
detection and applications
insurface science.
Largely due to historic reasons and ease of implementation well developed.
detection with microphones
is
Here the sample is either a gas or in thermal contact with a gas. When the
sample, which is normally enclosed in a cell, is excited with light transient heating of the sample occurs which gives rise to pressure fluctuations
that are detected with a conventional
microphone.
With gaseous samples and a suitable laser for excitation trace analysis can be performed. sensitivity of 0.2 ppb of SO2 in air has been achieved (ref. 29) demonstrating
technique for the detection of pollutants. The coupling gas allows a microphone a bulk sample regardless of sample topology. preparation
of experiments
In analytical chemistry
samples ranging from intact Aspirin pills, over thin layer chromatograms demonstrate
detection.
Very few attempts,
however, were successful to date in
Spectroscopy
photothermal
an attractive alternative to diffuse reflectance
ofsurfaces
techniques
and adsorbates is an area of application
(ref 3 1). For adsorbates
perfect mirror or a completely transparent
optical processes and even more so nonideal substrates, real time compensation compensation
techniques,
spectroscopy
(ref. 30).
well suited for
on an ideal, nonabsorbmg
substrate, be it a
the incident light intensity has to be
made large enough to generate a detectable increase in temperature in a typical experiment.
cell
FT-IR spectrometers
substrate, the amount of adsorbate that is detectable
is in principle only limited by the available light intensity:
obtainable
Photoacoustic
are now available from several sources for most commercial
and make PT spectroscopy
These applications
Qualitative analysis is, therefore,
quantifying the results due to the complex signal generation process. attachments
to gel
tissues, and minerals have been successfully examined.
how easy it is to obtain a spectrum of a sample.
facilitated by photothermal
The photoacoustic
in medicine, biology and chemistry.
Spectra of blood, skin, leaves, all of them in viva. have been reported. electropherograms,
to be coupled to
The fact of that therefore virtually no sample
is required has been exploited in a large number of applications.
literature (refs.2,3) shows an abundance
A
the potential of this
in the sample.
Nonlinear
reduce, however, the sensitivities
The signal from a nonideal substrate can be suppressed by such as for example polarization
modulation
schemes make PT surface analysis applicable to many combinations
and substrates in various environments.
With piezo- or pyroelectric
33). or electronic (ref. 34) spectra at coverages of few thousandths
(ref. 32). These of adsorbates
detection vibrational of a monolayer
(ref.
of adsorbate
139
were recorded under well-controlled Germanium
UHV conditions.
Surface states of freshly cleaved Silicon and
single crystals were studied with a laser beam deflection method by monitoring
radiation induced buckling of the crystal (ref. 35.36). Experiments conditions
by studies in situ in an electrolyte, at atmospheric
are complemented
under high pressure (ref. 37). The characterization spectroscopy
(ref. 38) taking advantage
of the depth proffig
Spectra of layered samples demonstrate,
conditions
or
capability of this technique.
however, one of the problems of PT spectroscopy. frequency of the excitation source and
a inversion of spectral lines can be observed (ref. 39-41). The fact that
only light that has been absorbed and converted into heat by radiationless key difference to conventional excitation affect PT spectra. different fluorescence
the
under UHV
of coatings is a natural extension of PT
Observed spectral features depend on the modulation under certain conditions
on adsorbates
optical spectroscopy.
Energy transfer
deexcitation
is another
and quenching of electronic
Spectra of two samples with identical absorption
spectra but
spectra will have completely different PT spectra (ref. 42).
CONCLUSION The principles of PT spectroscopy reviewed.
and several typical detection schemes have been
Their common feature is that only energy absorbed and converted into heat within the
thermal diffusion length of the sample surface contributes feature results in unique capabilities of photothermal preparation,
the potential of depth proftig
towards a photothermal
spectroscopy,
signal. This
such as a minimum of sample
and the utility for analysis of surfaces and thin ftis.
At the same time, however, spectra of samples with identical overall optical properties, different depth profnes or different thermal properties Due to the fact that only nonradiative
can result in completely different spectra.
processes can cause a photothennal
excited electronic states and energy transfer affect PT spectra considerably. make PT spectroscopy quantitative
a very powerful tool for special applications.
interpretation
and detection mechanisms
but
signal, quenching
of
All these features
Qualitative and especially
of spectra requires, however, substantial insight into signal generation and sample properties
and geometry.
REFERENCES
: 3 4 5
6 7 8 9 10 11
Y. H. Pao, Optoacoustic Spectroscopy and Detection, Academic Press, New York, 1977. A. Rosencwaig, Photoacoustics and Photoacoustic Spectroscopy, Chemical Analysis, Vol. 57, John Wiley, New York, 1980. V. P. Zharov and V. S. Letokhov, Laser Optoacoustic Spectroscopy, Springer, Berlin, 1986. A. Mandelis (Ed.), Photoacoustic and Thermal Wave Phenomena in Semiconductors, Elsevier, Amsterdam, 1987. C. K. N. Pate1 and A. C. Tam, Rev. Mod. Phys., 53 (1981) 517-550. J. B. Kinney and R. H. Staley, Ann. Rev. Mater. Sci., 12 (1982) 295-321. G. A. West, J. J. Barrett, D. R. Siebert and K. V. Reddy, Rev. Sci. Instr., 54 (1983) 797-817. A. C. Tam, Rev. Mod. Phys., 58 (1986) 381-431. IEEE Trans. Ultrason., Ferroelectrics, Freq. Contr., UFFC-33 (5) (1986). Appl. Phys. B, 43 (1) (1987). Can. J. Phys., 64 (9) (1986).
140 12 :: 15 16 17
20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42
Photoacoustic and Photothermal Phenomena, P. Hess and J. Pelzl (Eds.), Springer Series in Optical Sciences; A. L. Schawlow, Series Editor, Springer, Berlin, 1987. H. S. Carslaw and J. C. Jaeger, Conduction of Heat in Solids, Clarendon, Oxford, 1960. H. Coufal, IEEE Trans. Ultrason., Ferroelectrics, Freq. Contr., UFFC-33 (1986) 507-512. P. E. Nordal and S. 0. Kanstadt, Physica Scripta, 20 (1979) 659-662. A. Rosencwaig, J. Opsal, W. L. Smith and D. L. Wiienborg, Appl. Phys. Lett., 46 (1985) 1013-1015. S. V. Bondarenko, E. V. Ivakin, A. S. Rubanov, V. I. Kabelka and A. V. MikhaiIov, Optics Comm., 61 (1987) 155-158. G. L. Eesley, B. M. Clemens and C. A. Paddock, Appl. Phys. Lett., 50 (1987) 717-719. Fi9F;;rnier, A. C. Boccara, N. M. Amer and R. Gerlach, Appl. Phys. Lett., 37 (1980) M. A. Olmstead, N. M. Amer, S. E.Kohn, D. Fournier and A. C. Boccara, Appl. Phys., A32 (1983) 141-154. J. P. Monchalin, IEEE Trans. Ultrason., Ferroelectrics. Freq. Contr., UFFC-33 (1986) 485-499. A. C. Tam and C. K. N. Pate], Opt. Lett., 5 (1980) 27-29. R. E. Lee and R. M. White, Appl. Phys. Lett., 12 (1968) 12-14. A. C. Tam and C. K. N. Patel, Appl. Optics, 18 (1979) 3348-3358. H. Coufal, J. Photoacoustics, 1 (1984) 417-428. A. Mandelis, IEEE TransUltrason., Ferroelectrics, Freq. Contr., UFFC-33 (1986) 590-614. Y. Sugitani, A. Uejima and K. Kato, J. Photoacoustics, 1 (1982) 217-236. P. R. Griffiths and J. A. de Haseth, Fourier Transform Infrared Spectrometry, John Wiley, New York, 1986. P. V. Cvijin, D. A. Gilmore, M. A. Leugers and G. H. Atkinson, Anal. Chem., 59 (1987) 300-304. J. V. Childers, R. Rohl and R. A. Palmer, Anal. Chem., 58 (1986) 2629-2636. H. Coufal, T. J. Chuang and F. Trager, J. Physique, C6 (1983) 297-300. H. Coufal, F. Trager, T. J. Chuang and A. C. Tam, Surf. Sci., 145 (1984) LSO4-L508. F. Trager, H. Coufal and T. J. Chuang, Phys. Rev. Lett., 49 (1982) 1720-1723. H. Coufal, Appl. Phys. Lctt., 44 (1984) 59-61. M. Olmstead and N. Amer,Phys. Rev. Lett., 52 (1984) 1148-1151. M. Olmstead and N. Amer, Phys. Rev., B29 (1984) 7048-7050. C. Morterra, M. J. D. Low and A. G. Severidia, Appl. Surf. Sci., 20 (1985) 317-335. M. W. Urban, J. Coat. Technol., 59 (1987) 29-34. A. Mandelis, Chem. Phys. Lett., 108 (1984) 389-392. H. Coufal, Appl. Phys. Lett., 45 (1984) 516-518. H. Coufal, Fresenius Z. Anal. Chem., 324 (1986) 456-462. S. Schneider and H. Coufal, J. Chem. Phys., 76 (1982) 2919-2924.