PARTIAL LEAST-SQUARES (PLS) REGRESSION AND SPECTROPHOTOMETRY AS APPLIED TO THE ANALYSIS OF MULTICOMPONENT MIXTURES

Xin An LIU Le Ming SHI Zhi Hong XU Zhong Xiao PAN Zhi Liang LI Ying GAO

引用本文: Xin An LIU,  Le Ming SHI,  Zhi Hong XU,  Zhong,  Xiao PAN,  Zhi Liang LI,  Ying GAO. PARTIAL LEAST-SQUARES (PLS) REGRESSION AND SPECTROPHOTOMETRY AS APPLIED TO THE ANALYSIS OF MULTICOMPONENT MIXTURES[J]. Chinese Chemical Letters, 1991, 2(3): 233-236. shu
Citation:  Xin An LIU,  Le Ming SHI,  Zhi Hong XU,  Zhong,  Xiao PAN,  Zhi Liang LI,  Ying GAO. PARTIAL LEAST-SQUARES (PLS) REGRESSION AND SPECTROPHOTOMETRY AS APPLIED TO THE ANALYSIS OF MULTICOMPONENT MIXTURES[J]. Chinese Chemical Letters, 1991, 2(3): 233-236. shu

PARTIAL LEAST-SQUARES (PLS) REGRESSION AND SPECTROPHOTOMETRY AS APPLIED TO THE ANALYSIS OF MULTICOMPONENT MIXTURES

摘要: The UV absorption spectra of α-naphthol, α-naphthylamine, 2, 7-dihydroxy naphthalene, 2, 4-dimethoxy ben-zaldehyde and methyl salicylate, overlap severely;therefore it is impossible to determine them in mixtures by traditional spectrophotometric methods. In this paper, the partial least-squares (PLS) regression is applied to the simultaneous determination of these compounds in mixtures by UV spectrophtometry without any pretreatment of the samples. Ten synthetic mixture samples are analyzed by the proposed method. The mean recoveries are 99.4%, 99.6%, 100.2%, 99.3% and 99.1%, and the relative standard deviations (RSD) are 1.87%, 1.98%, 1.94%, 0.960% and 0.672%, respectively.

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  • 收稿日期:  1990-02-25
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