Wang Xiaotong, Sun Xiaomeng, Huang He, Huang Yujiang, Zhao Yue, Liu Zhehan, Jiang Shen, Wang Yunpeng, Ban Tao, Liu Yu, Li Yang
State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Heilongjiang 150081, PR China.
College of Bioinformatics Science and Technology, Harbin Medical University, Heilongjiang 150081, PR China.
J Hazard Mater. 2025 Jul 5;491:138020. doi: 10.1016/j.jhazmat.2025.138020. Epub 2025 Mar 23.
Investigating pesticide residues holds paramount significance for ensuring food safety and promoting sustainable agricultural practices. Nevertheless, high-sensitivity analytical techniques are urgent needed due to intricate pesticide combinations, low concentration levels, and complexities in sample preparation. Here, silver nanoparticles synthesized by sodium borohydride reduction created a sprayable multifunctional uniformly dispersed surface-enhanced Raman scattering (SERS) substrate that demonstrated exceptional sensitivity, enabling high-quality signal acquisition of various pesticide residues on different backgrounds for the first-time using SERS imaging strategy. The substrate exhibited an enhancement factor of 10 and a detection limit lower than 10 M (0.1 ppb) for pesticides dispersed in colloids. Moreover, the study showcased distinctive detection and quantitative analysis of mixed pesticides, exhibiting excellent linearity (r = 0.9983). In addition, SERS imaging technology combined with vertex component analysis and Euclidean distance methods can directly observe the distribution of pesticides outside and inside crops. Overall, this study highlights the potential of SERS and its intuitive imaging approach in pesticide residue detection and distribution visualization, expanding its application in the field of green chemistry.
检测农药残留对于确保食品安全和促进可持续农业实践具有至关重要的意义。然而，由于农药组合复杂、浓度水平低以及样品制备过程复杂，迫切需要高灵敏度的分析技术。在此，通过硼氢化钠还原法合成的银纳米颗粒制备出了一种可喷雾的多功能均匀分散表面增强拉曼散射（SERS）基底，该基底表现出卓越的灵敏度，首次采用SERS成像策略能够在不同背景下高质量地采集各种农药残留的信号。对于分散在胶体中的农药，该基底的增强因子为10，检测限低于10 M（0.1 ppb）。此外，该研究展示了对混合农药的独特检测和定量分析，呈现出优异的线性关系（r = 0.9983）。另外，SERS成像技术结合顶点成分分析和欧几里得距离方法可以直接观察到农药在作物内外的分布情况。总体而言，本研究突出了SERS及其直观成像方法在农药残留检测和分布可视化方面的潜力，拓展了其在绿色化学领域的应用。
