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A method of finding optimal weight factors for compound identification in gas chromatography–mass spectrometry
Author(s) -
Seongho Kim,
Imhoi Koo,
Xiaoli Wei,
Xiang Zhang
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts083
Subject(s) - mass spectrometry , mass spectrum , identification (biology) , kurtosis , chemistry , analytical chemistry (journal) , chromatography , gas chromatography–mass spectrometry , mathematics , statistics , botany , biology
The compound identification in gas chromatography-mass spectrometry (GC-MS) is achieved by matching the experimental mass spectrum to the mass spectra in a spectral library. It is known that the intensities with higher m/z value in the GC-MS mass spectrum are the most diagnostic. Therefore, to increase the relative significance of peak intensities of higher m/z value, the intensities and m/z values are usually transformed with a set of weight factors. A poor quality of weight factors can significantly decrease the accuracy of compound identification. With the significant enrichment of the mass spectral database and the broad application of GC-MS, it is important to re-visit the methods of discovering the optimal weight factors for high confident compound identification.

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