Premium
Direct chemical ionization‐pattern recognition: Characterization of bacteria and body fluid profiling
Author(s) -
Van Der Greef J.,
Tas A. C.,
de Brauw M. C. Ten Noever
Publication year - 1988
Publication title -
biomedical and environmental mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 121
eISSN - 1096-9888
pISSN - 0887-6134
DOI - 10.1002/bms.1200160109
Subject(s) - profiling (computer programming) , ionization , chromatography , chemical ionization , chemistry , analytical chemistry (journal) , sample preparation , computer science , biological system , pattern recognition (psychology) , artificial intelligence , organic chemistry , biology , ion , operating system
Direct chemical ionization is ideally suited for profiling purposes because it is a relatively soft ionization method, easy to operate, reproducible and with a high sample throughput. Moreover, for non‐volatile matrices the method combines pyrolysis with an optimal pyrolysate transfer to the ionization region enabling the detection of high molecular weight compounds. Application of the technique to urine analysis of women with a premenstrual syndrome and characterization of Salmonella bacteria illustrates its usefulness. Optimal information extraction from the profiles is, because of their complex nature, only possible using pattern recognition techniques. A new approach based on the data analysis of trend spectra is discussed.