绿色合成银纳米粒子调制聚二乙炔基比色农药传感器†

IF 4.6 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
RSC Advances Pub Date : 2025-06-02 DOI:10.1039/D5RA01243K
Shazidul Hussain, Dipan Sarma, Sangita Majumder, Debajyoti Bhattacharjee, Khuloud A. Alibrahim, Abdullah N. Alodhayb, Hemant Agarwal and Syed Arshad Hussain
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引用次数: 0

摘要

近年来,由于农药在农业中的广泛和不受控制的使用,农药污染已成为公共卫生和生态系统的主要威胁。本文介绍了一种基于聚二乙炔(PDA)的纸张比色传感平台,该平台可作为一种高效且经济的农药残留检测方法。该传感器是在硝酸纤维素膜上设计的,使用10,12-苯二甲酸(HCDA)、PDA单体、绿色合成银纳米粒子(AgNPs)和皂土粘土(SC)。采用绿色合成方法,从异叶芥叶提取物中合成AgNPs。通过紫外可见吸收、FESEM、TEM、DLS、XRD和FTIR光谱对合成的AgNPs进行了表征。此外,通过改变AgNP浓度,优化了AgNP存在下PDA的相变。设计的纸质传感器对三种常用农药,即氯氰菊酯(P1)、苯甲草胺(P2)和毒死蜱/氯氰菊酯(P3)有响应。研究发现,通过改变AgNP与HCDA的比值,可以实现对不同浓度区域不同农药的检测。为了从比色响应中确定农药浓度,开发了一个基于matlab的程序来分析暴露前后颜色变化对应的RGB值。所提出的传感器类似于石蕊试纸,其传感是基于农药暴露后可见的颜色变化来实现的。因此,它是经济和易于使用。这种农药检测传感器在广泛的环境条件下提供高精度的测量,因此是一种完美的便携式系统,用于现场检测农药残留。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Green-synthesized silver nanoparticle-modulated polydiacetylene-based colorimetric pesticide sensor†

Green-synthesized silver nanoparticle-modulated polydiacetylene-based colorimetric pesticide sensor†

Recently, pesticide contamination has become a major threat to public health and ecosystems owing to its widespread and uncontrolled use in agriculture. Herein, we introduce a paper-based colorimetric sensing platform using polydiacetylene (PDA) that can be used as an efficient and cost-effective method for detecting pesticide residues. The sensor is designed on a nitrate cellulose membrane using 10,12-henicosadiynoic acid (HCDA), monomer of PDA, green-synthesized silver nanoparticles (AgNPs) and saponite clay (SC). The AgNPs were synthesized from Araucaria heterophylla leaf extract following a green synthesis protocol. The synthesized AgNPs were characterized through UV-Vis absorption, FESEM, TEM, DLS, XRD and FTIR spectroscopy. Moreover, the PDA phase change in the presence of AgNPs was optimized by varying AgNP concentration. The designed paper sensors responded to three commonly used pesticides, namely, cypermethrin (P1), pretilachlor (P2) and chlorpyriphos/cypermethrin (P3). It was found that the detection of different pesticides in different concentration regions can be achieved by varying AgNP to HCDA ratios. To determine pesticide concentration from the colorimetric response, a MATLAB-based program was developed for analyzing the RGB values corresponding to colour changes before and after exposure. The proposed sensor is similar to litmus paper in which sensing is achieved based on the visible colour change upon pesticide exposure. Therefore, it is economical and easy to use. This pesticide-detecting sensor provides measurements with high accuracy in a wide range of ambient conditions and is therefore a perfect portable system for point-of-care/on-site detection of pesticide residues.

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来源期刊
RSC Advances
RSC Advances chemical sciences-
CiteScore
7.50
自引率
2.60%
发文量
3116
审稿时长
1.6 months
期刊介绍: An international, peer-reviewed journal covering all of the chemical sciences, including multidisciplinary and emerging areas. RSC Advances is a gold open access journal allowing researchers free access to research articles, and offering an affordable open access publishing option for authors around the world.
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