4.7 Article

Bimetallic Mn/Fe MOF modified screen-printed electrodes for non-enzymatic electrochemical sensing of organophosphate

期刊

ANALYTICA CHIMICA ACTA
卷 1202, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.aca.2022.339676

关键词

Bimetallic Mn-Fe metal-organic framework; Square wave voltammetry; Organophosphate pesticide; Chlorpyrifos; Screen-printed electrodes

资金

  1. Water Technology Initiative (WTI) Program, Department of Science and Technology (DST) , India [DST/TMD-EWO/WTI/2K19/EWFH/2019/222 (C)]

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This study presents a novel strategy to fabricate an electrochemical sensor based on a bimetallic Mn2+/Fe3+ metal-organic framework (MnFe-MOF) for the direct determination of organophosphate pesticide chlorpyrifos. The sensor showed low detection limit, wide linearity range, excellent repeatability, and anti-interference performance. It successfully recovered the spiked pesticide in real-sample matrices.
This study presents a novel strategy to fabricate an electrochemical sensor based on a screen-printed electrode (SPE) modified by a bimetallic Mn2+/Fe3+ metal-organic framework (MnFe-MOF) for the direct determination of organophosphate pesticide chlorpyrifos. Square wave voltammetry technique was employed for the electroanalysis, and the limit of detection remained as low as 0.85 nM or 0.29 ppb in a wide linearity range of 1.0 x 10(-9) to 1.0 x 10(-7) M. The sensor also demonstrated exceptional repeatability and anti-interference performance. Moreover, MnFe-MOF was synthesized using terephthalic acid as the building block using a one-pot solvothermal approach. Multiple characterization studies confirmed the formation of the MOF. The bimetallic MnFe-MOF exhibited high adsorption and electrocatalytic properties towards chlorpyrifos due to the hetero-metal synergism arising between the Mn2+ and Fe3+ ions, owing to which it was employed as the electrode material for non-enzymatic electro-determination of chlorpyrifos. The proposed sensor displayed a satisfactory recovery of the spiked pesticide in real-sample matrices. (c) 2022 Elsevier B.V. All rights reserved.

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