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用于皮摩尔级草甘膦检测的基于聚吡咯分子印迹聚合物的高选择性重量法和电化学传感器。

Highly Selective Polypyrrole MIP-Based Gravimetric and Electrochemical Sensors for Picomolar Detection of Glyphosate.

作者信息

Mazouz Zouhour, Rahali Seyfeddine, Fourati Najla, Zerrouki Chouki, Aloui Nadia, Seydou Mahamadou, Yaakoubi Nourdin, Chehimi Mohamed M, Othmane Ali, Kalfat Rafik

机构信息

Institut National de Recherches et d'Analyses Physico-chimiques, Laboratoire Matériaux, Traitement et Analyse, BiotechPole Sidi-Thabet, 2032 Ariana, Tunisia.

Unité de Recherche en Modélisation des Sciences Fondamentales et Didactiques, Université de Tunis El Manar, Tunis, Campus Universitaire Farhat-Hached Tunis, Rommana 1068, Tunisia.

出版信息

Sensors (Basel). 2017 Nov 9;17(11):2586. doi: 10.3390/s17112586.

Abstract

There is a global debate and concern about the use of glyphosate (Gly) as an herbicide. New toxicological studies will determine its use in the future under new strict conditions or its replacement by alternative synthetic or natural herbicides. In this context, we designed biomimetic polymer sensing layers for the selective molecular recognition of Gly. Towards this end, complementary surface acoustic wave (SAW) and electrochemical sensors were functionalized with polypyrrole (PPy)-imprinted polymer for the selective detection of Gly. Their corresponding limits of detection were on the order of 1 pM, which are among the lowest values ever reported in literature. The relevant dissociation constants between PPy and Gly were estimated at [K = (0.7 ± 0.3) pM and K = (1.6 ± 1.4) µM] and [K = (2.4 ± 0.9) pM and K = (0.3 ± 0.1) µM] for electrochemical and gravimetric measurements, respectively. Quantum chemical calculations permitted to estimate the interaction energy between Gly and PPy film: ΔE = -145 kJ/mol. Selectivity and competitivity tests were investigated with the most common pesticides. This work conclusively shows that gravimetric and electrochemical results indicate that both MIP-based sensors are perfectly able to detect and distinguish glyphosate without any ambiguity.

摘要

关于草甘膦作为除草剂的使用,全球存在着争论和担忧。新的毒理学研究将决定其在未来新的严格条件下的使用情况,或者是否会被替代的合成或天然除草剂所取代。在此背景下,我们设计了用于草甘膦选择性分子识别的仿生聚合物传感层。为此,用聚吡咯(PPy)印迹聚合物对互补的表面声波(SAW)和电化学传感器进行功能化,以选择性检测草甘膦。它们相应的检测限在1 pM左右,这是文献中报道的最低值之一。对于电化学和重量测量,PPy与草甘膦之间的相关解离常数分别估计为[K = (0.7 ± 0.3) pM和K = (1.6 ± 1.4) µM]以及[K = (2.4 ± 0.9) pM和K = (0.3 ± 0.1) µM]。量子化学计算允许估计草甘膦与PPy膜之间的相互作用能:ΔE = -145 kJ/mol。用最常见的农药进行了选择性和竞争性测试。这项工作最终表明,重量和电化学结果表明,这两种基于分子印迹聚合物的传感器都能够完美地检测和区分草甘膦,没有任何歧义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ab9/5712991/b492949ff7fb/sensors-17-02586-g001.jpg

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