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Statistical design of experiments as a tool in mass spectrometry

✍ Scribed by Leah S. Riter; Olga Vitek; Karen M. Gooding; Barry D. Hodge; Randall K. Julian Jr.

Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
336 KB
Volume
40
Category
Article
ISSN
1076-5174

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

This Tutorial is an introduction to statistical design of experiments (DOE) with focus on demonstration of how DOE can be useful to the mass spectrometrist. In contrast with the commonly used one factor at a time approach, DOE methods address the issue of interaction of variables and are generally more efficient. The complex problem of optimizing data‐dependent acquisition parameters in a bottom‐up proteomics LC‐MS/MS analysis is used as an example of the power of the technique. Using DOE, a new data‐dependent method was developed that improved the quantity of confidently identified peptides from rat serum. Copyright © 2005 John Wiley & Sons, Ltd.

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