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Chemical ant colony algorithm with supramolecular coefficient and multivariate calibration to calix[n]arenas(n = 4, 6, 8) supramolecular system

✍ Scribed by Yaping Ding; Qingsheng Wu; Qingde Su


Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
252 KB
Volume
22
Category
Article
ISSN
0886-9383

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✦ Synopsis


Abstract

A chemical ant colony algorithm (CACA) with supramolecular coefficient γ was put forward. It has successfully solved the multivariate calibration issue of the supramolecule analysis system, and realized the pure spectra fitting and the simultaneous determination of the calix[n]arenas(n = 4, 6, 8) in a multicomponent supramolecular system. The analyzing errors for calix[4, 6, 8]arenas through Chemical Ant Colony Algorithm with supramolecular coefficient γ are within ±3.75%. The errors by CACA are within ±7.50%. The former obviously excels the latter. Copyright © 2008 John Wiley & Sons, Ltd.