Abstract
Theoreticians can calculate exactly the frequencies at which infrared radiation will be absorbed by a given molecule, assuming the spatial arrangements of the atoms and the strengths of the bonds are known. This assumption is realistic for very small or highly symmetrical larger molecules. For those types of molecules, excellent theoretical treatments have been made. However, the vast majority of molecules have vibrational characteristics and interatomic interactions that are too complex for adequate theoretical treatment, so empirical treatment of the data becomes necessary.
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References
L. A. Gribov, “Computational Spectroscopy: Status of Problem,” J. Molec. Struct. 113, 11–23 (1984).
L. E. Kuentzel, “New Codes for Hollerith-Type Punched Cards,” Anal. Chem. 23, 1413–1418 (1951).
A. W. Baker, N. Wright and A. Opler, “Automatic Infrared Punched-Card Identification of Mixtures,” Anal. Chem. 25, 1457–1460 (1953).
R. A. Sparks, “Storage and Retrieval of Wyandotte-ASTM Infrared Spectral Data Using an IBM 1401 Computer,” American Society for Testing and Materials, Philadelphia, Pennsylvania (1964).
L. D. Smithson, L. B. Fall, F. D. Pitts and F. W. Bauer, “Storage and Retrieval of Wyandotte-ASTM Infrared Spectral Data Using a 7090 Computer,” Tech. Doc. Rept. No. RTD-TDR-63–4265, Research and Technology Division, Wright Patterson AFB, Ohio (1964).
T. A. Entzminger and E. A. Diephaus, “Storage and Retrieval of Wyandotte-ASTM Infrared Spectral Data Using a Honeywell 400 Computer,” U.S. Public Health Service, Robert A. Taft Sanitary Engineering Center, Cincinnati, Ohio (1964).
D. H. Anderson and G. L. Covert, “Computer Search System for Retrieval of Infrared Data,” Anal. Chem. 39, 1288–1293 (1967).
L. H. Cross, J. Haw and D. J. Shields, in Molecular Spectroscopy, Proceedings of a Conference Held at Brighton, England, 17–19 April 1968 (P. Hepple, ed.), The Institute of Petroleum, London, England, 1968, pp. 189–205.
G. A. Massios, “Infrared Spectral Data Retrieval by Computer,” Am. Lab. 3(9), 55–61 (1971).
D. S. Erley, “Fast Searching System for the ASTM Infrared Data File,” Anal. Chem. 40, 894–898 (1968).
F. E. Lytle and T. L. Brazie, “Effects of Data Compression on Computer Searchable Files,” Anal. Chem. 42, 1532–1535 (1970).
D. S. Erley, “A Quantitative Evaluation of Several Infrared Searching Systems,” Appl. Spectrosc. 25, 200–202 (1971).
F. E. Lytle, “Computerized Searching of Inverted Files,” Anal. Chem. 42, 355–357 (1970).
P. C. Jurs, “Near Optimum Computer Searching of Information Files Using Hash Coding,” Anal. Chem. 43, 364–367 (1971).
Z. Hippe and R. Hippe, “Computer Retrieval of Spectral Data,” Appl. Spectrosc. Rev. 16, 135–186 (1980).
J. Zupan, “The Library Search in Analytical Chemistry,” Fresenius Z. Anal. Chem. 313, 466–472 (1982).
R. J. Obremski and J. W. Mohar, “Computerized Infrared Techniques for Pharmaceutical-Formulation Quality Control,” Pharm. Technol. 3(4), 59–66 (1979).
R. E. Anacreon and S. C. Pattacini, “Applications of an Infrared Data Processing System,” Am. Lab. 12(2), 97–105 (1980).
M. Razinger, M. Penca, J. Zupan and M. Janezic, “Computerized Search System Based on Digitized Infrared Spectra,” Fresenius Z. Anal. Chem. 313, 496–499 (1982).
S. R. Lowry, D. A. Huppler and C. R. Anderson, “Database Development and Search Algorithms for Automated Infrared Spectral Identification,” J. Chem. Inf. Comput. Sci. 25, 235–241 (1985).
J. T. Clerc and G. Szekely, “Spectroscopic Data Banks,” Trends Anal. Chem. 2(3), 50–53 (1983).
S. R. Heller, “The Chemical Information System and Spectral Database,” J. Chem. Inf. Comput. Sci. 25, 224–231 (1985).
J. R. Rumble Jr. and D. R. Lide Jr., “Chemical and Spectral Databases: A Look into the Future,” J. Chem. Inf. Comput. Sci. 25, 231–235 (1985).
M. Ruprecht and J. T. Clerc, “Performance Analysis of a Simple Infrared Library Search System,” J. Chem. Inf. Comput. Sci. 25, 241–244 (1985).
L. J. Bellamy, The Infrared Spectra of Complex Molecules, Wiley, New York, 1958.
K. Nakanishi, Infrared Absorption Spectroscopy—Practical, Holden-Day, San Francisco, 1962.
N. B. Colthup, L. H. Daly and S. E. Wiberley, Introduction to Infrared and Raman Spectroscopy, Academic, New York, 1964.
D. Dolphin and A. E. Wick, Tabulation of Infrared Spectral Data, Wiley, New York, 1977.
R. M. Silverstein, G. C. Bassler, and T. C. Morrill, Spectrometric Identification of Organic Compounds (4th edn.), Wiley, New York, 1981.
N. J. Nilsson, Learning Machines, McGraw-Hill, New York, 1965.
R. O. Duda and P. E. Hart, Pattern Recognition and Scene Analysis, Wiley, New York, 1973.
Yi-Tzuu Chien, Interactive Pattern Recognition, Dekker, New York, 1978.
P. C. Jurs and T. L. Isenhour, Chemical Applications of Pattern Recognition, Wiley, New York, 1975.
B. R. Kowalski (ed.), Chemometrics: Theory and Application, ACS Symposium Series 52, American Chemical Society, Washington, D.C., 1977.
K. Varmuza, Lecture Notes in Chemistry 21: Pattern Recognition in Chemistry, Springer-Verlag, New York, 1980.
K. Varmuza, “Pattern Recognition in Analytical Chemistry,” Anal. Chim. Acta 122, 227–240 (1980).
L. Kryger, “Interpretation of Analytical Chemical Information by Pattern Recognition Methods—A Survey,” Talanta 28, 871–887 (1981).
L. S. Ramos, K. R. Beebe, W. P. Carey, E. Sanchez, B. C. Erickson, B. E. Wilson, L. E. Wangen and B. R. Kowalski, “Chemometrics,” Anal. Chem. 58(5), 294R–315R (1986).
P. C. Jurs, “Pattern Recognition Used to Investigate Multivariate Data in Analytical Chemistry,” Science 232, 1219–1224 (1986).
M. P. Derde and D. L. Massart, “Extraction of Information from Large Data Sets by Pattern Recognition,” Fresenius Z. Anal. Chem. 313, 484–495 (1982).
H. B. Woodruff, G. L. Ritter, S. R. Lowry and T. L. Isenhour, “Pattern Recognition Methods for the Classification of Binary Infrared Spectral Data,” Appl. Spectrosc. 30, 213 – 216 (1976).
H. B. Woodruff, S. R. Lowry and T. L. Isenhour, “A Comparison of Two Discriminant Functions for Classifying Binary Infrared Data,” Appl Spectrosc.29, 226–230 (1975).
L. Domokos, I. Frank, G. Matolcsy and G. Jalsovszky, “Pattern Recognition Applied to Vapor-Phase Infrared Spectra,” Anal. Chim. Acta 154, 181–189 (1983).
D. S. Frankel, “Pattern Recognition of Fourier Transform Infrared Spectra of Organic Compounds,” Anal Chem. 56, 1011–1014 (1984).
H. B. Woodruff and M. E. Munk, “Computer-Assisted Interpretation of Infrared Spectra,” Anal Chim. Acta 95, 13–23 (1977).
R. Davis, “Knowledge-Based Systems,” Science 231, 957–963 (1986).
R. O. Duda and E. H. Shortliffe, “Expert Systems Research,” Science 220, 261–268 (1983).
D. S. Prerau, “Selection of an Appropriate Domain for an Expert System,” AI Magazine 6(3), 26–30 (1985).
F. Hayes-Roth, D. A. Waterman and D. B. Lenat (eds.), Building Expert Systems, Addison-Wesley, Reading, Massachusetts, 1983.
T. H. Pierce and B. A. Hohne (eds.), Artificial Intelligence Applications in Chemistry, ACS Symposium Series 306, American Chemical Society, Washington, D.C., 1986.
N. A. B. Gray, “Structural Interpretation of Spectra,” Anal. Chem. 47, 2426–2431 (1975).
H. B. Woodruff and M. E. Munk, “A Computerized Infrared Spectral Interpreter as a Tool in Structure Elucidation of Natural Products, J. Org. Chem. 42, 1761–1767 (1977).
T. Visser and J. H. Van Der Maas, “Systematic Computer-Aided Interpretation of Infrared and Raman Vibrational Spectra Based on the crise Program,” Anal Chim. Acta 122, 363–372 (1980).
W. R. Leupold, C. Domingo, W. Niggemann and B. Schrader, “Automatic Reduction and Evaluation of Infrared and Raman Spectra,” Fresenius Z. Anal. Chem. 303, 337–348 (1980).
H. B. Woodruff and G. M. Smith, “Computer Program for the Analysis of Infrared Spectra,” Anal. Chem. 52, 2321–2327 (1980).
H. B. Woodruff and G. M. Smith, “Generating Rules for pairs—A Computerized Infrared Spectral Interpreter,” Anal. Chim. Acta 133, 545–553 (1981).
G. Szalontai, Z. Csapo, and Zs. Recsey, “Computer-Aided Structure Elucidation, III: Extended Version of assigner System,” Acta Chim. Acad. Sci. Hung. 111, 249–258 (1982).
S. Sasaki, H. Abe, I. Fujiwara, T. Yamasaki, Z. Hippe, G. Debenska, J. Duliban and B. Guzowska-Swider, “Recent Problems of Application of Artificial Intelligence in Computer-Aided Elucidation of Chemical Structures,” Chem. Analityczna 27, 171–181 (1982).
R. W. Hannah, J. P. Coates, A. Savitzky, M. A. Ford and H. V. Carter, “Method and Apparatus for Determining the Nature of an Unknown Chemical Substance,” U.S. Patent 4,365,303 (1982).
M. O. Trulson and M. E. Munk, “Table-Driven Procedure for Infrared Spectrum Interpretation” Anal. Chem. 55, 2137–2142 (1983).
H. Jamroz and Z. Latek, “The Algorithm of Substructure Recognition in Organic Compounds by the Artificial Intelligence Method on the Basis of IR-Spectra,” J. Molec. Struct. 115, 277–280 (1984).
G. M. Smith and H. B. Woodruff, “Development of a Computer Language and Compiler for Expressing the Rules of Infrared Spectral Interpretation,” J. Chem. Inf. Comput. Sci. 24, 33–39 (1984).
H. J. Luinge and H. A. Van’t Klooster, “Artificial Intelligence Used for the Interpretation of Combined Spectral Data,” Trends Anal. Chem. 4(10), 242–243 (1985).
Z. Hippe, “Problem-Solving Methods in Computer-Aided Organic Structure Determination,” J. Chem. Inf. Comput. Sci. 25, 344–350 (1985).
B. Curry, in Artificial Intelligence Applications in Chemistry (T. H. Pierce and B. A. Hohne, eds.), American Chemical Society, Washington, D.C., 1986, pp. 350–364.
S. A. Tomellini, J. M. Stevenson, and H. B. Woodruff, “Rules for Computerized Interpretation of Vapor-Phase Infrared Spectra,” Anal. Chem. 56, 67–70 (1984).
H. B. Woodruff, in Progress in Industrial Microbiology (M. E. Bushell, ed.), Elsevier, Amsterdam, 1983, pp. 71–108.
A. B. Delfino and A. Buchs, “Mass Spectra and Computers,” Fortschr. Chem. Forsch. 39, 109–137 (1973).
N. A. B. Gray and T. O. Gronneberg, “Programs for Spectrum Classification and Screening of Gas Chromatographic-Mass Spectrometric Data on a Laboratory Computer,” Anal. Chem. 47, 419–424 (1975).
W. T. Wipke, H. Braun, G. Smith, F. Choplin and W. Sieber, in Computer-Assisted Organic Synthesis (W. T. Wipke and W. J. Howe, ed.), American Chemical Society, Washington, D.C., 1977, pp. 97–127.
S. A. Tomellini, D. D. Saperstein, J. M. Stevenson, G. M. Smith, H. B. Woodruff and P. F. Seelig, “Automated Interpretation of Infrared Spectra with an Instrument-Based Minicomputer,” Anal. Chem. 53, 2367–2369 (1981).
M. A. Puskar, S. P. Levine and S. R. Lowry, “Computerized Infrared Spectral Identification of Compounds Frequently Found at Hazardous Waste Sites,” Anal. Chem. 58, 1156–1162 (1986).
J. A. deHaseth and K. A. Mir, “A Minicomputer Based Structure Elucidation Program,” paper No. 216, Pittsburgh Conference and Exposition on Analytical Chemistry and Applied Spectroscopy, February 25–March 1, 1985.
D. D. Saperstein, “Methodology for Evaluating and Optimizing Infrared Interpretations,” Appl. Spectrosc. 40, 344–348 (1986).
S. A. Liebman, P. J. Duff, M. A. Schroeder, R. A. Fifer, and A. M. Harper, in Artificial Intelligence Applications in Chemistry (T. H. Pierce and B. A. Hohne, eds.), American Chemical Society, Washington, D.C., 1986, pp. 365–384.
S. A. Tomellini, R. A. Hartwick, and H. B. Woodruff, “Automatic Tracing and Presentation of Interpretation Rules Used by pairs: Program for the Analysis of IR Spectra,” Appl. Spectrosc. 39, 331–333 (1985).
D. Welti, Infrared Vapor Spectra, Heyden, New York, 1970.
S. A. Tomellini, R. A. Hartwick, J. M. Stevenson, and H. B. Woodruff, “Automated Rule Generation for the Program for the Analysis of IR Spectra (pairs), Anal. Chim. Acta 162, 227–240 (1984).
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Woodruff, H.B. (1987). Novel Advances in Pattern Recognition and Knowledge-Based Methods in Infrared Spectroscopy. In: Meuzelaar, H.L.C., Isenhour, T.L. (eds) Computer-Enhanced Analytical Spectroscopy. Modern Analytical Chemistry. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-5368-3_10
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DOI: https://doi.org/10.1007/978-1-4684-5368-3_10
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