Application of Correlation Analysis Techniques to Mass Spectral Data
- 1 March 1992
- journal article
- research article
- Published by Taylor & Francis in Applied Spectroscopy Reviews
- Vol. 27 (1) , 1-49
- https://doi.org/10.1080/05704929208018268
Abstract
The power of mass spectrometry as an analytical technique lies in the ability of the analyst to deduce the molecular structure of the compound under study from the data collected. Correlation analysis techniques (from information theory) can be employed to enhance the quantitative information present in the spectrum, as well as aid the analyst in the interpretation of the mass spectral data.Keywords
This publication has 75 references indexed in Scilit:
- Classification and identification of hazardous organic compounds in ambient air by pattern recognition of mass spectral dataEnvironmental Science & Technology, 1987
- A selenium-selective chromatoraphic detector based on isotope clusterAnalytica Chimica Acta, 1985
- Extraction of mass spectral information by a combination of autocorrelation and principal components modelsAnalytica Chimica Acta, 1984
- The role of pattern recognition in the computer-aided classification of mass spectraAnalytica Chimica Acta, 1979
- Identification of components in mixtures by a mathematical analysis of mass spectral dataAnalytica Chimica Acta, 1979
- Computer identification of infrared spectra by correlation-based file searchingAnalytica Chimica Acta, 1978
- Signal-to-noise ratio enhancement by least-squares polynomial smoothingAnalytical Chemistry, 1976
- Automated identification of mass spectra by the reverse searchAnalytical Chemistry, 1975
- Applications of Pattern Recognition to ChemistryCritical Reviews in Analytical Chemistry, 1974
- Computerized learning machines applied to chemical problems. Convergence rate and predictive ability of adaptive binary pattern classifiersAnalytical Chemistry, 1969