An accelerated background subtraction algorithm for processing high-resolution MS data and its application to metabolite identification

Autor: Abhi Shah, Mohammad Shadid, Jayaprakasam Bolleddula, Jing-Tao Wu, Swapan Chowdhury, Venkateswaran Shekar
Rok vydání: 2016
Předmět:
Zdroj: Bioanalysis. 8:1693-1707
ISSN: 1757-6199
1757-6180
DOI: 10.4155/bio-2016-0101
Popis: 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.
Databáze: OpenAIRE