Affiliation:
1. Chemistry and Chemical Engineering Research Center of Iran, PO Box 14335-186, Tehran, Iran
2. Shahid Beheshti University, Environmental Sciences Research Institute, Department of Environmental Technologies, 19839-63113 Tehran, Iran
Abstract
Abstract
In the present study, a fast LC method coupled with multivariate curve resolution (MCR) alternating least-squares (ALS) and alternating trilinear decomposition (ATLD) was developed for the determination of the resolution of and quantitation of benzophenone-3, 4-methylbenzylidene camphor, octocrylene, ethylhexyl dimethyl para-aminobenzoic acid, butyl methoxydibenzoilmethane, and methyl and propyl parabens in suncare products. Chromatographic separation was optimized using full factorial and Box–Behnken designs. MCR-ALS and ATLD performance in quantitating the analytes in synthetic mixtures (which were randomly prepared in ultra-pure water) andblank sunscreen products was studied, and satisfying results were obtained. Acceptable qualification and quantification results were also achieved in the presence of matrix interferences via a short chromatographic runtime (5 min), and the second-order advantage was fully exploited, with MCR-ALS clearly emerging as the superior model. Average recoveries ranged from 98.0 to 112.5%, and RSD values were lower than 6.5%. LODs between 0.066 and 0.243 μg/g were achieved. In addition to acceptable precision and accuracy, the merits of the proposed method are that the analysis is fast and there is minimal solvent consumption. Moreover, coelution of analytes and interference from components in the sample matrixes were overcome with multivariate analysis.
Publisher
Oxford University Press (OUP)
Subject
Pharmacology,Agronomy and Crop Science,Environmental Chemistry,Food Science,Analytical Chemistry
Cited by
11 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献