202
3 4 5 6
trends in analytical chemistry, vol. 10, no. 7,1991
A.G. Marshall, Biophysical Chemistry: Principles, Techniques and Applications, Wiley, New York, 1978. D.V. Roberts, Enzyme Kinetics, Cambridge Chemistry Texts, Cambridge University Press, 1977. E. Biirgisser, Trends Pharmacol. Sci., 5 (1984) 143. B.F. Ryan, B.L. Joiner and T.A. Ryan, Minitab Handbook, Duxbury Press, Boston, MA, 1985.
I
W.A. Wood and I.C. Gunsalus, 171.
J. Biol. Chem.,
181 (1949)
Dr. M.E. Jones is at the National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT 2601, Australia.
feature
Instrumentation strategy
chemistry - a versatile
Yohichi
A science dealing with the chemical information used to control a material system at present and in the future (applied science). These definitions are fundamental and should be transformed into more realistic expressions, such as: l Analytical chemistry is the branch of chemistry concerned with the knowledge of the components, composition or structure of a material system in order to understand it (basic science). l Analytical chemistry is the branch of chemistry concerned with the knowledge of the components, composition, structure or properties of a material system in order to control it or topredict its behavior (applied science). These expressions are fundamental and timeless. Analytical chemistry, however, has had and will have different features depending on its historical stage. Scientific activities are devoted to a specific point in the whole process of chemical information flow to solve a bottleneck at a specific historical stage. For example, quantitative conversion to stochiometric oxides was very important a long time ago, sampling became a hot issue in recent decades, and now contamination control is the most challenging part of chemical analysis. In each phase, the characteristic outlook of analytical chemistry was specific to it. Apparent features will change from time to time. Therefore, it is important to consider both essential and apparent features in the discussion of the perspective of analytical chemistry. The chemical inforl
01659936/91/$03.00.
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SciencePub1ishersB.V.
203
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MACROSCOPIC
CONFIGURATION
ELEMENT (PROPERTY) t 1
CONFIGURATION
ELEMENT (PROPERTY) t 1
I Fig. 1. Analytical chemistry and its sub-functions.
The structure of material systems Analytical chemistry deals with chemical information. The information should be necessary and sufficient to describe or reproduce a material system. Two models are shown as examples of material systems in Fig. 2. The important feature is that the material systems can be described in an hierarchical way and each level of the hierarchy can be expressed by elements (components) and their configuration. Each
Fig. 3. Hierarchical approach.
element can be defined by the lower level components (elements) and their configuration. This relationship is shown in Fig. 3. Chemical information should correspond to this structure. The information concerning elements (components) is their properties. The information of configuration is well expressed by imaging. Therefore, a material system can be described by the concepts of element and configuration. From a chemical point of view, the atomic and molecular levels are important. Materials scientists will pay more attention to the molecular aggregate, crystallite or phase levels. It is a logical consequence that although the concept of chemical species is very important, it is but one of the various elements (components) in the hierarchy of material systems. Analytical methods should correspond to the information described above, Analytical method The above discussion leads to the model of analytical methods shown in Fig. 4. Any analytical method
Analytical
Melhod = _
F(Probe, Phenomenon, l”te,aCtlo”
_
F,(Prb,
=
Phn. Slg
Element Property
Fig. 2. Models of material systems.
CONFIGURATION
ELEMENT (PROPERTY)
MICROSCOPIC
Signal)
) xF,(Prb.
Phn. Slg
Co”fig”ratlo” imagtng
Fig. 4. Model of analytical method.
)
204
trendsin analyticalchemistry,vol. 10, no. 7, 1991
Probe
Chemical Species
Chemical SpecK?s 1
Neutral (free)
particle
Sample
1
Interaction
Neutral
particle
(free) Reaction Electron
Electron Absorption
Photon
Photon Scattering
Heat
Heat Interierence Electric
Electric
field
field
DIffraction Magnetic
Magnetic
field
Mechanical
field
Mechanical
field
field
Fig. 5. Probes, interaction and signals.
has two functions: a property measuring capability and an imaging capability. Each function contains -three parameters, i.e. probe, interaction and signal. Probes, interactions and signals are summarized in Fig. 5. The classification in Fig. 5 is very approximate and a more detailed classification will be help-
TABLE
I. Combination
ofprobes and signals through
ful for further discussion. Examples of combinations of these three parameters are shown in Tables I and II. The imaging function is less complicated - as shown in Table III. I would like to call this combination “instrumentation chemistry”. Several examples are’ explained below. Chemical analysis (CA) is the most powerful method for obtaining information on a chemical species. On the other hand, chemical analysis has no imaging capability. An optical microscope has excellent imaging power, but is poor in providing chemical information. An electron probe microanalyzer (EPMA) has both functions. I would like to emphasize two points concerning Tables I-III. When a new probe, detector or interaction becomes available or is discovered, the blank boxes can be filled with the novel analytical method. Another point is the effect of scale in the hierarchical system. If we apply chemical analysis to a geological system, it functions as a one dimensional-one dimensional imaging method through sampling points. The analytical results of the sampling points provide a geological map which is typical imaging information.
absorption and reaction (Function:
measurement)
Signal
Probe
Chemical species
Chemical species
Ion (free)
Electron (free)
Neutral particle (free)
Photon
Heat
CA u(P)
CIMS
PIES
MBSS
Chemical luminescence
AHads
SNMS
PIXE CL EPMA APS
EAM
EAM
PAS
Ion (free)
INS SIMS
Electron (free)
SSMS ESDI
EELS AEM SEM,TEM
ESDN
Neutral particle (free)
FABMS
MDS (PIES)
MBSS
Photon
PD LIMS (LAMMA)
XPS CEMS UPS OSEE AES, PEM
UV, LMA VIS , 7-w IR, SERS X-Ray
PAS PTD
TSEE
IR
Thermal Analysis
Heat Electric
property
field
FDMS Atom Probe
FEM
FIM
CDS
IETS STM NMR, NMR ESR
EXES
Magnetic field
Mechanical field
GDS
Magnetic field Mechanical field
Electric field
Triboluminescence
NMR ESR ESR NMR ESR Ultrasonic absorption internal friction
trends in analytical chemistry, vol. 10, no. 7,199l
TABLE
II. Combination
Probe
205
of probes and signals through
diffraction,
scattering and reflection (Function:
property-
measurement)
Signal Chemical species
Chemical species
Ion (free)
Electron
Neutral particle
Photon
Heat
Electric field
Magnetic field
Mechanical field
MBSS
Ion (free)
ICISS RBS, ISS
Electron
HEED RHEED LEED
Neutral particle
Neutron small angle scattering
Photon
Standing wave XPED PED SEXAFS
Standing wave XRD (Raman) EXAFS ELL TRXRF GIXRF
Heat Electric
field
Magnetic field Mechanical field
Acoustic microscope
Chemical information and chemical species As has been mentioned abovk, chemical species is a very important concept for material systems. TABLE
III. Imaging
Probe
Signal
methods
Dimension 1-D
2-D
1-D
Micro beam analysers STM
XRD CT
2-D
Micro beam analysers CT
Micro analysers (projection) CT microscope
3-D
Time
Holography
Photo acoustic microscope
3-D
Time
CT microscope Photo acoustic microscope Ultrasonic microscope
However, chemical information has a far broader meaning. Recent automated systems impose very severe requirements on analytical chemistry. For example, a combustion control system for cars or furnaces requires a rapid, small, inexpensive and rugged oxygen analyzer. The control system has to be installed to work under harsh environmental conditions and its 24-h continuous operation is necessary. In such a system, any human factor should be excluded. A zirconia galvanic sensor that has recently been developed meets these requirements and is widely used. In the combustion control system the output potential of the galvanic zirconia sensor is directly used as a control signal showing the oxidizing chemical potential of the exhaust gas and an explicit expression of oxygen concentration in the sample gas is not needed. An example of such a system is shown in Fig. 6. The important point is that chemical species are not necessarily the most important information. The direct transmission of chemical information is inevitable and a person who understands chemical information in terms of chemical species can often be excluded for various reasons (Table IV). Therefore the expansion of the concept of chemical information from chemical species to chemical properties is very important.
206
trends in analytical chemistry, vol. IO, no. 7,199l
iAMPLE \
ANALYSIS
TABLE
‘\ ‘\
MATERIAL
\
\
\
\
\
\\
J\
\
DETERMI‘NATION INTERPRETATION
A
ANALYVCAL
METHOD
-
Subject
//
Manpower
Future
Information saving
Man
saving
Information
(explicit)
\
urement which has capabilities for measuring properties and imaging. This approach will be effective for future development of analytical chemistry. In this short article, expression chemistry and chemical diagnosis (including prediction and simulation) are not discussed. These two fields will be of increasing importance in the future. A short discussion can be found in ref. 2 and I will address these topics in a future article.
PREPARATION
\\.
SYSTEM
)
DATA
Present
\
SAMPLE
ACTION.
system
AND
‘\
MATERIAL
analyzer-control
ANALYSl
\
SAMPLING
of automated
Aim \
SYSTEM
ACTION
IV. Significance
SENSORS
ETC.
PROCESSING
ANALYZER
Fig. 6. Information
flow
and control system.
Professor Chemistry, Japan.
Conclusions I have discussed a view of analytical chemistry as information flow. Analytical chemistry is divided into three fields, i.e., instrumentation chemistry, expression chemistry and chemical diagnosis. Instrumentation chemistry is defined as a field of meas-
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References 1 2 3
W. F. Pickering and D. E. Ryan, Trends Anal. (1989) 119. Bunseki (1987) 772. Fresenius J. Anal. Chem., 337 (1990) 149-246.
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