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绿色可持续自清洁柔性 SERS 基底:用于苹果表面残留的循环检测。

Green and sustainable self-cleaning flexible SERS base: Utilized for cyclic-detection of residues on apple surface.

机构信息

Agricultural Product Processing and Storage Lab, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; China-UK Joint Laboratory for Nondestructive Detection of Agro-products, Jiangsu University, Zhenjiang, Jiangsu 212013, China.

Agricultural Product Processing and Storage Lab, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China.

出版信息

Food Chem. 2024 May 30;441:138345. doi: 10.1016/j.foodchem.2023.138345. Epub 2024 Jan 3.

DOI:10.1016/j.foodchem.2023.138345
PMID:38185049
Abstract

Advances in flexible SERS substrates has made it possible to approach the ultimate goal of rapid in-situ monitoring of fruit and vegetable safety, but its vulnerability under laser ablation results in low utilization. In order to solve this problem, a 3D framework of TiO-doped PVDF\PVP polymer was utilized to self-assemble gold-silver core-shell nanorods (Au@Ag NRs) to prepare a flexible SERS substrate with good physical stability and self-cleaning properties. This substrate showed excellent detection limit and recyclability after the detection of three pesticide residues in apple peel. The LOD of methyl-parathion (MP) was as low as 0.037 ng/cm, with an RSD of 5.61 % for 5 cycle-detection. The recoveries of two additional pesticides thiram (TMTD) and chlorpyrifos (CPF) were 86.32 %-112.47 %. We hoped that this research will contribute to providing a recyclable and facile method for in-situ analysis of fruit and vegetable surface residues and functional manufacture of flexible SERS substrates.

摘要

柔性表面增强拉曼散射(SERS)基底的进步使得快速现场监测水果和蔬菜安全性的终极目标成为可能,但由于激光烧蚀导致基底脆弱,利用率较低。为了解决这个问题,利用 TiO2 掺杂的聚偏氟乙烯(PVDF)/聚乙烯吡咯烷酮(PVP)聚合物制备了 3D 框架,用于自组装金-银核壳纳米棒(Au@Ag NRs),以制备具有良好物理稳定性和自清洁性能的柔性 SERS 基底。该基底在检测苹果皮中的三种农药残留后表现出优异的检测限和可回收性。甲基对硫磷(MP)的检测限低至 0.037ng/cm,5 个循环检测的相对标准偏差(RSD)为 5.61%。另外两种农药福美双(TMTD)和毒死蜱(CPF)的回收率为 86.32%-112.47%。我们希望这项研究将有助于为水果和蔬菜表面残留的原位分析提供一种可回收和简便的方法,并为柔性 SERS 基底的功能制造提供帮助。

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