# Component detection algorithm

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The **component detection algorithm** (CODA) is a name for a type of [LC-MS](/source/Liquid_chromatography-mass_spectrometry)[1][2] and [chemometrics](/source/Chemometrics)[3] software algorithm focused on detecting peaks in noisy [chromatograms](/source/Mass_chromatogram) (TIC) often obtained using the [electrospray ionization](/source/Electrospray_ionization) technique.

The implementation of the algorithm from one piece of [mass spectrometry](/source/Mass_spectrometry) software to another differs. Some implementations need clean chromatograms to substruct background.

## References

1. **[^](#cite_ref-1)** Windig, Willem; Phalp, J. Martin; Payne, Alan W. (1996). ["A Noise and Background Reduction Method for Component Detection in Liquid Chromatography/Mass Spectrometry"](http://pubs.acs.org/doi/abs/10.1021/ac960435y). *Analytical Chemistry*. **68** (20): 3602–3606. [doi](/source/Doi_(identifier)):[10.1021/ac960435y](https://doi.org/10.1021%2Fac960435y).

1. **[^](#cite_ref-2)** Christin, Christin; Smilde, Age K.; Hoefsloot, Huub C. J.; Suits, Frank; Bischoff, Rainer; Horvatovich, Peter L. (2008). ["Optimized Time Alignment Algorithm for LC−MS Data: Correlation Optimized Warping Using Component Detection Algorithm-Selected Mass Chromatograms"](http://pubs.acs.org/doi/abs/10.1021/ac800920h). *Analytical Chemistry*. **80** (18): 7012–7021. [doi](/source/Doi_(identifier)):[10.1021/ac800920h](https://doi.org/10.1021%2Fac800920h). [PMID](/source/PMID_(identifier)) [18715018](https://pubmed.ncbi.nlm.nih.gov/18715018).

1. **[^](#cite_ref-3)** Windig, W.; Smith, W. F. (27 July 2007). ["Chemometric analysis of complex hyphenated data: Improvements of the component detection algorithm"](http://www.sciencedirect.com/science/article/pii/S0021967307005869). *Journal of Chromatography A*. Data Analysis in Chromatography. **1158** (1): 251–257. [doi](/source/Doi_(identifier)):[10.1016/j.chroma.2007.03.081](https://doi.org/10.1016%2Fj.chroma.2007.03.081). [PMID](/source/PMID_(identifier)) [17418223](https://pubmed.ncbi.nlm.nih.gov/17418223).

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