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

• Published in: Journal of chemometrics Vol. 22; no. 6; pp. 366 - 371
• Main Authors: Ding, Yaping, Wu, Qingsheng, Su, Qingde
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 01.06.2008; Wiley; Wiley Subscription Services, Inc
• Subjects: Calibration; calix[n]arenas(n = 4; calix[n]arenas(n = 4, 6, 8); chemical ant colony algorithm; Chemistry; Errors; Exact sciences and technology; General and physical chemistry; Molecules; Multivariate analysis; multivariate calibration; Optimization algorithms; supramolecular coefficient; 6; chemical ant colony algorithm; supramolecular coefficient; calix[n]arenasn=4; 8; multivariate calibration; Calixarene; Calibration; Algorithm; Chemometrics
• ISSN: 0886-9383; 1099-128X
• DOI: 10.1002/cem.1119

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.