Chemical ant colony algorithm with supramolecular coefficient and multivariate calibration to calix[n]arenas(n = 4, 6, 8) supramolecular system |
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Authors: | Yaping Ding Qingsheng Wu Qingde Su |
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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 calixn]arenas(n = 4, 6, 8) in a multicomponent supramolecular system. The analyzing errors for calix4, 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. |
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Keywords: | chemical ant colony algorithm supramolecular coefficient calix[n]arenas(n = 4 6 8) multivariate calibration |
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