A Mathematical Approach to Error Reduction in Mass Spectrometry

@article{citeulike:2898727, abstract = {The exploding field of proteomics has highlighted the need to improve the performance of mass spectrometry, both quantitatively and qualitatively (1–3). These needs have led instrument manufacturers to produce instruments of increasingly higher quality, but little work has been done to address the fundamental errors inherent in the measurement technique itself. This paper examines these errors and demonstrates that the appropriate mathematical correction of MS data can significantly improve the...}, author = {Gu, Ming and Wang, Yongdong and Kuehl, Don }, citeulike-article-id = {2898727}, journal = {Spectroscopy}, keywords = {mass-spectrometry, nopdf, peak-detection}, month = {May}, posted-at = {2008-06-16 15:01:38}, priority = {2}, title = {A Mathematical Approach to Error Reduction in Mass Spectrometry}, url = {http://spectroscopymag.findpharma.com/spectroscopy/article/articleDetail.jsp?id=161415}, year = {2005} }

TY - JOUR ID - citeulike:2898727 L3 - citeulike-article-id:2898727 TI - A Mathematical Approach to Error Reduction in Mass Spectrometry JF - Spectroscopy N2 - The exploding field of proteomics has highlighted the need to improve the performance of mass spectrometry, both quantitatively and qualitatively (1–3). These needs have led instrument manufacturers to produce instruments of increasingly higher quality, but little work has been done to address the fundamental errors inherent in the measurement technique itself. This paper examines these errors and demonstrates that the appropriate mathematical correction of MS data can significantly improve the... KW - mass-spectrometry KW - nopdf KW - peak-detection AU - Gu, Ming AU - Wang, Yongdong AU - Kuehl, Don PY - 2005/05/02/ UR - http://spectroscopymag.findpharma.com/spectroscopy/article/articleDetail.jsp?id=161415 ER -