Institute of Biophotonics, National Yang Ming Chiao Tung University, 155, sec-2 Li Nong Street, Taipei 112, Taiwan and Institute of Biophotonics, National Yang-Ming University, 155, sec-2 Li Nong Street, Taipei 112, Taiwan.
Analyst. 2021 Jun 7;146(11):3557-3567. doi: 10.1039/d1an00433f. Epub 2021 Apr 27.
Fipronil and its metabolite fipronil sulfone, when found in some food products, such as eggs, have caused major public health concerns. In this study, we used gold nanorods (AuNRs) and graphene oxide (GO) nanocomposites to fabricate a layer-by-layer assembled three dimensional (3D) substrate for toxin detection by surface enhanced Raman scattering (SERS). The 4-layers of GO-AuNR 3D SERS substrate were optimized using rhodamine 6G. The optimized SERS substrate was used to detect fipronil and fipronil sulfone in spiked eggs. The obtained limit of detection was 10 M (∼4.4 ppb), which is below the maximum residue limit in Taiwan of 10 ppb. Egg samples spiked with fipronil (10 and 10 M) and fipronil sulfone (10 and 10 M) were measured and the maximum departure of the measured SERS intensity from the calibrated SERS intensity was ∼14%. Thus, a facile screening method for the detection of fipronil/fipronil sulfone in food-grade eggs by SERS is demonstrated.
氟虫腈及其代谢物氟虫腈砜在一些食品（如鸡蛋）中被发现时，引起了公众对健康的极大关注。在本研究中，我们使用金纳米棒（AuNRs）和氧化石墨烯（GO）纳米复合材料来制备逐层组装的三维（3D）基底，用于通过表面增强拉曼散射（SERS）进行毒素检测。使用罗丹明 6G 对 GO-AuNR 3D SERS 基底的 4 层进行了优化。优化后的 SERS 基底用于检测鸡蛋中的氟虫腈和氟虫腈砜。得到的检测限为 10 M（约 4.4 ppb），低于台湾的最大残留限量 10 ppb。测量了用氟虫腈（10 和 10 M）和氟虫腈砜（10 和 10 M）进行了掺杂的鸡蛋样品，从校准的 SERS 强度得出的最大偏离的测量 SERS 强度约为 14%。因此，通过 SERS 展示了一种用于检测食品级鸡蛋中氟虫腈/氟虫腈砜的简便筛选方法。
