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This study investigates the impact of reference library size and spectral similarity measures on compound identification accuracy in gas chromatography-mass spectrometry (GC-MS). It finds that the optimal weight factor for spectral matching varies with both the similarity measure and library size, with the mixture semi-partial correlation measure outperforming others across different libraries. The research suggests that as the reference library expands, the mixture semi-partial correlation measure will con

Author
1xieweijian
Language
EN