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|Title:||A fully automated iterative moving averaging (AIMA) technique for baseline correction|
|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.|
|Appears in Collections:||Staff Publications|
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