Home
Resources
Publications
An Accelerated Background Subtraction Algorithm for Processing High-Resolution MS Data and Its Application to Metabolite Identification

An Accelerated Background Subtraction Algorithm for Processing High-Resolution MS Data and Its Application to Metabolite Identification

Venkateswaran Shekar, Abhi Shah, Mohammad Shadid, Jing-Tao Wu, Jayaprakasam Bolleddula, Swapan Chowdhury

Bioanalysis. 2016 Aug;8(16):1693-707.

PMID: 27460980

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.

Chemicals Related in the Paper:

Catalog Number	Product Name	Structure	CAS Number	Price
AP5608139	Metoclopramide Related Compound A		5608-13-9	Price

As a specialist in analytical chemical Products, Alfa Chemistry offers consumers a wealth of raw materials and a full range of technologies and services.

QUICK LINKS

HEADQUARTERS

Tel:

Fax:

Email: