Component detection algorithm explained

The component detection algorithm (CODA) is a name for a type of LC-MS^{[1] [2]} and chemometrics^[3] software algorithm focused on detecting peaks in noisy chromatograms (TIC) often obtained using the electrospray ionization technique.

The implementation of the algorithm from one piece of mass spectrometry software to another differs. Some implementations need clean chromatograms to substruct background.

Notes and References

1. http://pubs.acs.org/doi/abs/10.1021/ac960435y A Noise and Background Reduction Method for Component Detection in Liquid Chromatography/Mass Spectrometry. Willem Windig, J. Martin Phalp and Alan W. Payne, Anal. Chem., 1996, 68 (20), pp 3602–3606
2. http://pubs.acs.org/doi/abs/10.1021/ac800920h Optimized Time Alignment Algorithm for LC−MS Data: Correlation Optimized Warping Using Component Detection Algorithm-Selected Mass Chromatograms. Christin Christin, Age K. Smilde, Huub C. J. Hoefsloot, Frank Suits, Rainer Bischoff and Peter L. Horvatovich, nal. Chem., 2008, 80 (18), pp 7012–7021
3. https://archive.today/20130202023604/http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6TG8-4NC4M9G-5&_user=10&_coverDate=07/27/2007&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=16948c321eca4ebbf719f3acbc1289fa&searchtype=a Chemometric analysis of complex hyphenated data: Improvements of the component detection algorithm. W. Windig and W.F. Smith, Journal of Chromatography A, Volume 1158, Issues 1-2, 27 July 2007, Pages 251-257