用于检测果蔬中农药残留的柔性表面增强拉曼散射基底的设计策略和应用进展

Design strategies and application progress of flexible surface-enhanced Raman scattering substrates for pesticide detection in fruits and vegetables

中文关键词:  表面增强拉曼散射(SERS)  柔性基底  农药残留  水果蔬菜  综述

英文关键词:surface-enhanced Raman scattering  flexible substrate  pesticide residues  fruits and vegetables

中文摘要:

      随着人口增长和生活水平的提高, 果蔬中的农药残留已成为关注焦点。表面增强拉曼散射(surface-enhanced Raman scattering, SERS)技术因其快速、无损和指纹识别特性, 被认为是食品安全检测的有效方法之一。引入柔性SERS基底为非平面果蔬表面的原位检测带来了新机遇, 相比于传统的刚性基底, 柔性基底通过“粘贴-剥离”或拭子取样方法, 提供了更大的灵活性和适应性。尽管柔性基底在农药残留检测中显示出巨大潜力, 但设计和制备高灵敏度、高稳定性且信号重现性好的柔性基底仍是一个挑战。本文深入探讨了柔性基底的构建策略, 包括柔性基底材料的选择和柔性基底的制备方法。此外, 文章还总结了柔性基底在果蔬农药残留检测中的应用实例, 展示了其在实际应用中的效果。文章最后提出了针对这些挑战的可能解决方案, 并对未来的研究方向进行了展望。这些解决方案和展望旨在推动柔性SERS基底的进一步研究和应用, 为提高果蔬农药残留检测的准确性和效率提供支持。

英文摘要:

      With population growth and rising living standards, pesticide residues in fruits and vegetables have become a focal point of concern. Surface-enhanced Raman scattering (SERS) is considered as an effective method for food safety testing due to its rapid, non-destructive, and fingerprint recognition capabilities. The introduction of flexible SERS substrates has brought new opportunities for in-situ detection on the non-flat surfaces of fruits and vegetables. Compared to traditional rigid substrates, flexible substrates offer greater adaptability and flexibility through methods like “stick-peel” or swab sampling. Despite the immense potential of flexible substrates in pesticide residue detection, designing and fabricating them with high sensitivity, stability, and good signal reproducibility remains a challenge. This article delved into the construction strategies of flexible substrates, including the selection of flexible substrate materials and the preparation methods of flexible substrates. In addition, the article also summarized the application examples of flexible substrates in pesticide residue detection in fruits and vegetables, demonstrating their effectiveness in practical applications. At the end of the article, it proposed possible solutions to these challenges, and discussed future research directions. These solutions and prospects aim to promote further research and application of flexible SERS substrates, providing support for improving the accuracy and efficiency of pesticide residue detection in fruits and vegetables.