期刊
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
卷 272, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.saa.2022.121020
关键词
Iron; Speciation; Total iron; Deep eutectic solvent; Liquid phase microextraction; Colorimetric sensor
类别
资金
- Materials Chemistry Research Center (MCRC), Ministry of Higher Education, Science, Research and Innovative, Thailand
- Center of Excellence for Innovation in Chemistry (PERCH-CIC), Ministry of Higher Education, Science, Research and Innovative, Thailand
- Research and Graduate Studies, Khon Kaen University [RP64-8-002]
An efficient colorimetric sensor using a high-density deep eutectic solvent was developed for the detection and analysis of iron in milk samples. The sensor utilized a liquid colorimetric probe and a smartphone application for quantitative analysis.
An efficient colorimetric sensor was developed using a high-density deep eutectic solvent (HD-DES) for the trace detection and speciation of iron in various milk samples. A liquid colorimetric probe was fabricated by dissolving ferrozine (FZ) in HD-DES prepared from TBABr and PBA. The prederivatization of Fe2+ via complexation with FZ on the HD-DES/FZ probe provided the [Fe(FZ)(3)](4- )complex, which led to a color change from pale yellow to purple before it was simultaneously extracted by HD-DES. The Fe3+ content was calculated by subtracting the amount of Fe2+ from the total Fe content following the reduction of Fe3+ to Fe2+ by L-ascorbic acid in an acid buffer. Under the optimized conditions, the proposed colorimetric sensor exhibited appreciable linearity in the concentration range of 0.003-0.04 mg L-1, a low limit of detection (0.95 mg L-1), high enrichment factor (50), and outstanding repeatability. The liquid colorimetric probe was successfully applied for the determination and speciation of iron in milk samples, and the results were compared with those obtained using the standard atomic absorption spectrometry method. Moreover, quantitative analysis was performed on a smartphone using the Image J application to estimate the color intensity change, which eliminated the requirement of sophisticated scientific instruments. (c) 2022 Elsevier B.V. All rights reserved.
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