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• W2499576312 abstract "Background: Metabolite identification without radiolabeled compound is often challenging because of interference of matrix-related components. Results: A novel and an effective background subtraction algorithm (A-BgS) has been developed to process high-resolution mass spectral data that can selectively remove matrix-related components. The use of a graphics processing unit with a multicore central processing unit enhanced processing speed several 1000-fold compared with a single central processing unit. A-BgS algorithm effectively removes background peaks from the mass spectra of biological matrices as demonstrated by the identification of metabolites of delavirdine and metoclopramide. Conclusion: The A-BgS algorithm is fast, user friendly and provides reliable removal of matrix-related ions from biological samples, and thus can be very helpful in detection and identification of in vivo and in vitro metabolites." @default.
• W2499576312 created "2016-08-23" @default.
• W2499576312 creator A5001381737 @default.
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• W2499576312 date "2016-08-01" @default.
• W2499576312 modified "2023-10-17" @default.
• W2499576312 title "An accelerated background subtraction algorithm for processing high-resolution MS data and its application to metabolite identification" @default.
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• W2499576312 doi "https://doi.org/10.4155/bio-2016-0101" @default.
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• W2499576312 hasPublicationYear "2016" @default.
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