Please use this identifier to cite or link to this item: https://doi.org/10.1039/c0an00778a
Title: A fully automated iterative moving averaging (AIMA) technique for baseline correction
Authors: Prakash, B.D.
Wei, Y.C. 
Issue Date: 7-Aug-2011
Citation: Prakash, B.D., Wei, Y.C. (2011-08-07). A fully automated iterative moving averaging (AIMA) technique for baseline correction. Analyst 136 (15) : 3130-3135. ScholarBank@NUS Repository. https://doi.org/10.1039/c0an00778a
Abstract: Baseline correction is one of the pre-processing steps in the analysis of metabolite signals from chemometric analytical instruments. Fully automated baseline correction techniques, although more convenient to use, tend to be less accurate than semi-automated baseline correction. A fully automated baseline correction algorithm, the automated iterative moving averaging algorithm (AIMA), is presented and compared with three recently introduced semi-automated algorithms, namely the adaptive iteratively reweighted penalized least squares (airPLS), Asymmetric Least Squares baseline correction (ALS) and a parametric method, using NMR, Raman and HPLC chromatograms. AIMA's potential in increasing the accuracy of multivariate analysis via SELTI-TOF and LCMS chromatograms was also assessed. The results show that the AIMA's accuracy is comparable to these semi-automated algorithms and has the advantage of ease of use. An AIMA plug-in for an open source metabolomics analysis tool, MZmine, was also developed. The AIMA plug-in is available at http://padel.nus.edu.sg/software/padelaima. © The Royal Society of Chemistry 2011.
Source Title: Analyst
URI: http://scholarbank.nus.edu.sg/handle/10635/105564
ISSN: 00032654
DOI: 10.1039/c0an00778a
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

30
checked on Sep 24, 2018

WEB OF SCIENCETM
Citations

31
checked on Sep 17, 2018

Page view(s)

47
checked on May 25, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.