کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9745541 | 1491575 | 2005 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The use of the Durbin-Watson criterion for noise and background reduction of complex liquid chromatography/mass spectrometry data and a new algorithm to determine sample differences
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موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Recently, Massart's research group showed the potential of the Durbin-Watson criterion as a tool to determine the pseudo-rank of mixture data sets using stepwise interactive self-modeling mixture analysis approaches. The Durbin-Watson criterion is a simple and intuitive equation which works surprisingly well for other data analysis problems. As an example, the use of the Durbin-Watson criterion will be introduced in this paper as a tool to reduce noise and baseline problems in liquid chromatography/mass spectrometry (LC/MS) by variable reduction. In addition, another algorithm to extract differences between highly related samples will be presented. Both new approaches have some advantages above previously published methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 77, Issues 1â2, 28 May 2005, Pages 206-214
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 77, Issues 1â2, 28 May 2005, Pages 206-214
نویسندگان
Willem Windig,