Coupling of air-assisted liquid–liquid microextraction method with partial least squares for simultaneous spectrophotometric determination of some preservatives

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• 作者：Abdolhossein Naseri ; Farnaz Farahmand…
• 关键词：Air ; assisted liquid–liquid microextraction ; Partial least squares ; Benzoic acid ; Sorbic acid ; Spectrophotometry ; Determination
• 刊名：Journal of the Iranian Chemical Society
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：14
• 期：3
• 页码：643-653
• 全文大小：
• 刊物主题：Analytical Chemistry; Inorganic Chemistry; Physical Chemistry; Biochemistry, general; Organic Chemistry;
• 出版者：Springer Berlin Heidelberg
• ISSN：1735-2428
• 卷排序：14

文摘

An air-assisted liquid–liquid microextraction method coupled with a multivariate calibration method, namely partial least squares (PLS), was developed for the extraction and simultaneous determination of benzoic acid (BA) and sorbic acid (SA) via a spectrophotometric approach. In this work, a two-step microextraction method was used. In the first step, analytes were extracted from acidic aqueous solution into octanol, as an organic solvent, and in the second step, the analytes were simultaneously back-extracted into an alkaline aqueous solution. The high absorption signal of octanol was the main reason to perform this back-extraction step. The effects of different parameters on the method efficiency were investigated; the parameters included extraction solvent volume, ionic strength of aqueous solution, pH, number of extraction cycles, and aqueous sample volume. Under optimum conditions, calibration graphs were seen to be linear over the range of 0.1–2.0 µg mL−1 for the both analytes. Other analytical parameters were obtained as follows: Enrichment factors (EFs) were found to be 14.98 and 13.03, and limits of detection were determined to be 0.03 and 0.04 µg mL−1 for BA and SA, respectively. As the last step, binary mixtures of the analytes were prepared and simultaneously extracted using the proposed method. Finally, PLS modeling was used for multivariate calibration of spectrophotometric data. It was successfully utilized for the analysis of the target analytes in real samples.