Suppr超能文献

负载在金属-有机骨架上的分子印迹聚合物薄膜,使用稳定化的金掺杂石墨相氮化碳纳米片提高性能,用于 Fenamiphos 的单步检测。

Molecularly imprinted polymer film loaded on the metal-organic framework with improved performance using stabilized gold-doped graphite carbon nitride nanosheets for the single-step detection of Fenamiphos.

机构信息

Ankara University, Faculty of Pharmacy, Department of Analytical Chemistry, 06560 Ankara, Turkey.

Ankara University, Faculty of Pharmacy, Department of Analytical Chemistry, 06560 Ankara, Turkey.

出版信息

Food Chem. 2023 Mar 15;404(Pt B):134627. doi: 10.1016/j.foodchem.2022.134627. Epub 2022 Oct 19.

Abstract

A noninvasive material-based electrochemical sensor continuously monitors the fenamiphos (FMS) level in vegetable samples is highly desirable for innovative fabrics to check the health of agricultural products. Herein, an electrochemical sensor is fabricated by a sensitive molecularly imprinted polymers/metal-organic framework/gold stabilized on graphite carbon nitride (MIP-Au@MOF-235@g-CN) for monitoring the FMS level in real samples continuously with high sensitivity and accuracy. The MIP-based sensor was simply produced by a hydrothermal strategy. The MIP-Au@MOF-235@g-CN had a large specific surface area and high catalytic activity, which enables the fabricated sensor with good electrochemical performance with a high sensitivity of 1.07 μA.μM and a wide linear range of 0.01 to 16.4 μM. The proposed strategy was applied to determine FMS in agricultural products with satisfactory recoveries (94.7-107.9%) and a relative standard error of less than 1.0%, providing novel tactics for the rational design ofMIP-sensorsto determine a growing number of deleterious substances.

摘要

为了检查农产品的健康状况,人们非常希望有一种基于非侵入性材料的电化学传感器,能够持续监测蔬菜样本中的芬线磷(FMS)水平。本文制备了一种电化学传感器,该传感器由敏感的分子印迹聚合物/金属有机骨架/金稳定在石墨氮化碳(MIP-Au@MOF-235@g-CN)上,用于以高灵敏度和准确性持续监测实际样品中的 FMS 水平。基于 MIP 的传感器是通过水热策略简单制备的。MIP-Au@MOF-235@g-CN 具有较大的比表面积和较高的催化活性,使制备的传感器具有良好的电化学性能,其灵敏度为 1.07 μA.μM,线性范围较宽,为 0.01 至 16.4 μM。该策略被应用于农产品中 FMS 的测定,回收率令人满意(94.7-107.9%),相对标准误差小于 1.0%,为设计用于测定越来越多有害物质的 MIP 传感器提供了新策略。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验