Data Analysis for Hyphenated Techniques (Data Handling in Science and Technology, 17, Band 17) - Hardcover

Inhaltsangabe

For chemical analysts of complex mixtures such as biological samples, introduces an approach to separating the pure components hidden in the overlapping chromatographic peaks that emerge from hyphenated instruments. The Optimization by Stepwise Constraining of Alternating Regression (OSCAR) approach takes advantage of the speed of modern microcomputers to avoid libraries for spectra or retention times and start developing spectra from random numbers, staying in the positive range of intensities during the solution process. Baseline constraints are gradually tightened until the solutions that are repeatedly found from different random starting points converge to one common point. The programs are fully documented, readable source code, and can be modified for specific use by anyone proficient in MATLAB. Annotation c. by Book News, Inc., Portland, Or.

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