Abstract：
Growing concerns about pesticide residues in agriculture are pushing the scientific community to develop innovative and efficient methods for detecting these substances at low concentrations down to the molecular level. In this context, surface-enhanced Raman spectroscopy (SERS) is a powerful analytical method that has so far already undergone some validation for its effectiveness in pesticide detection. However, despite its great potential, SERS faces significant difficulties obtaining reproducible and accurate pesticide spectra, particularly for some of the most widely used pesticides, such as malathion, chlorpyrifos, and imidacloprid. Those inconsistencies can be attributed to several factors, such as interactions between pesticides and SERS substrates and the variety of substrates and solvents used. In addition, differences in the equipment used to obtain SERS spectra and the lack of standards for control experiments further complicate the reproducibility and reliability of SERS data. This review systematically discusses the problems mentioned above, including a comprehensive analysis of the challenges in precisely evaluating SERS spectra for pesticide detection. We not only point out the existing limitations of the method, which can be traced in previous review works, but also offer practical recommendations to improve the quality and comparability of SERS spectra, thereby expanding the potential applications of the method in such an essential field as pesticide detection.
摘要：
对农业中农药残留的日益关注正在推动科学界开发创新和有效的方法来检测低浓度到分子水平的这些物质。在这种情况下，表面增强拉曼光谱（SERS）是一种强大的分析方法，迄今为止已经对其在农药检测中的有效性进行了验证。然而,尽管潜力巨大,SERS面临获得可重现和准确的农药光谱的巨大困难，特别是对于一些最广泛使用的杀虫剂，比如马拉硫磷,毒死蜱,和吡虫啉.这些不一致可以归因于几个因素，例如农药和SERS底物之间的相互作用以及所用底物和溶剂的多样性。此外,用于获得SERS光谱的设备的差异以及缺乏对照实验的标准进一步使SERS数据的可重复性和可靠性复杂化。这篇综述系统地讨论了上述问题，包括对精确评估SERS光谱用于农药检测的挑战的全面分析。我们不仅指出了该方法存在的局限性，这可以追溯到以前的审查工作，但也提供实用的建议，以提高SERS光谱的质量和可比性，从而扩大了该方法在农药检测等重要领域的潜在应用。
