Synergistic Effects of plasmonic and semiconductor nanoparticles on graphene oxide for thiodicarb pesticide detection and Detoxification

IF 6.9 2区 材料科学 Q2 CHEMISTRY, PHYSICAL
Selvabharathi Sivaraj , Parimaladevi Ramasamy , Vasant Sathe , Umadevi Mahalingam
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Abstract

Organic pesticides, commonly used in agriculture, present significant risks to both health and the environment. Surface-Enhanced Raman Spectroscopy (SERS) provides a highly sensitive approach for detecting trace amounts of pesticides. This study introduces the design and fabrication of highly sensitive GOAg and GOAg@ZnO nanocomposites, SERS substrates for the ultrasensitive detection and degradation of thiodicarb pesticides, enabling rapid environmental monitoring. Graphene oxide (GO) was synthesized using a modified Hummer’s method, while GOAg and GOAg@ZnO nanocomposites were prepared through chemical reduction. The materials were characterized using various techniques, including XRD (to determine crystalline structure), UV–Vis spectroscopy (for optical absorption and band gap analysis), Raman spectroscopy (to identify G, D, and 2D bands), and HRTEM (to study morphology). SERS and photocatalytic analyses were conducted to detect and degrade thiodicarb pesticides on potato peels using the nanocomposites substrates. The SERS results revealed remarkable detection limits of 10-11 M (GOAg) and 10-12 M (GOAg@ZnO), enabling precise identification of thiodicarb pesticides. Additionally, the GOAg and GOAg@ZnO nanocomposites demonstrated exceptional performance, with enhancement factors of 9.7 × 107 and 8.6 × 107, detection limits as low as 10-9 M on potato peels, and degradation efficiencies of 48 % (GOAg) and 84 % (GOAg@ZnO) under UV irradiation. The corresponding rate constants were 0.005 min−1 and 0.144 min−1, respectively. These results highlight the nanocomposites excellent stability, uniformity, sensitivity, and efficiency, showcasing their potential for the detection and degradation of thiodicarb pesticides.

Abstract Image

Abstract Image

等离子体纳米粒子和半导体纳米粒子对氧化石墨烯在硫代威农药检测和解毒中的协同作用
有机杀虫剂通常用于农业,对健康和环境都有重大风险。表面增强拉曼光谱(SERS)为检测痕量农药提供了一种高灵敏度的方法。本研究介绍了高灵敏度的 GOAg 和 GOAg@ZnO 纳米复合材料的设计和制造,这些 SERS 基底可用于超灵敏检测和降解硫代砷化氢农药,从而实现快速环境监测。氧化石墨烯(GO)是用改进的 Hummer 法合成的,而 GOAg 和 GOAg@ZnO 纳米复合材料则是通过化学还原法制备的。使用各种技术对材料进行了表征,包括 XRD(确定晶体结构)、紫外可见光谱(用于光学吸收和带隙分析)、拉曼光谱(确定 G、D 和 2D 带)和 HRTEM(研究形貌)。利用纳米复合材料基底进行了 SERS 和光催化分析,以检测和降解马铃薯皮上的硫代杀虫剂。SERS 结果表明,检测限分别为 10-11 M(GOAg)和 10-12 M(GOAg@ZnO),从而实现了对硫代二硫磷农药的精确鉴定。此外,GOAg 和 GOAg@ZnO 纳米复合材料表现出卓越的性能,在紫外线照射下,其增强因子分别为 9.7 × 107 和 8.6 × 107,在马铃薯皮上的检测限低至 10-9 M,降解效率分别为 48 %(GOAg)和 84 %(GOAg@ZnO)。相应的速率常数分别为 0.005 min-1 和 0.144 min-1。这些结果凸显了纳米复合材料卓越的稳定性、均匀性、灵敏性和高效性,展示了其在检测和降解硫代砷农药方面的潜力。
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来源期刊
Applied Surface Science
Applied Surface Science 工程技术-材料科学:膜
CiteScore
12.50
自引率
7.50%
发文量
3393
审稿时长
67 days
期刊介绍: Applied Surface Science covers topics contributing to a better understanding of surfaces, interfaces, nanostructures and their applications. The journal is concerned with scientific research on the atomic and molecular level of material properties determined with specific surface analytical techniques and/or computational methods, as well as the processing of such structures.
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