Suppr超能文献

基于 TLC-SERS 方法的食品中六种磺胺类残留的快速限量检测研究。

Study on the Rapid Limit Test for Six Sulfonamide Residues in Food Based on the TLC-SERS Method.

机构信息

Research Institute of Medicine and Pharmacy, Qiqihar Medical University, Qiqihar 161006, China.

School of Pharmacy, Qiqihar Medical University, Qiqihar 161006, China.

出版信息

Molecules. 2024 Aug 22;29(16):3977. doi: 10.3390/molecules29163977.

Abstract

Sulfonamides are not only widely applied in clinics but also highly valued in animal husbandry. Recently, it has become common for sulfonamide residues to exceed the standard limits in food, which can affect human health. Current regulations limit these residues. Therefore, we constructed a new limit test method to rapidly determine the levels of sulfonamide residues. Six sulfonamides were detected using the latest method called TLC-SERS, namely, sulfamethasone (A), sulfamethazine (B), sulfadoxine (C), sulfamethoxydiazine (D), sulfamethoxazole (E), and sulfathiazole (F). The optimal conditions for SERS detection were investigated for these six drugs, and the separation effects of different TLC spreaders on them were compared. Then, we successfully established a separation system using dichloromethane-methanol-ammonia in a ratio of 5:1:0.25 (//), which provided good separation effects on the six drugs. The residues were preliminarily separated via TLC. A silver sol solution was added to the spot on the silica gel G plate at the corresponding specific shift values, and SERS detection was performed. The sample solution was placed on the spot under a 532 nm laser, and the SERS spectrum was collected and analyzed for the six sulfonamides. The results showed obvious variations in the SERS spectrum among the six sulfonamides, with the LODs being 12.5, 6.4, 6.3, 7.1, 18.8, and 6.2 ng/mL from A to F, respectively, and an RSD of <3.0%. Within 48 h, the SERS signal for each sulfonamide drug was kept stable, with an RSD of <3.0%. The detection results of 20 samples using the TLC-SERS method were consistent with those obtained by UPLC-MS/MS. The established TLC-SERS method is simple and fast, providing a useful reference for the rapid detection of residue limits in food.

摘要

磺胺类药物不仅在临床上得到广泛应用,而且在畜牧业中也受到高度重视。最近,食品中磺胺类药物残留超标已成为普遍现象,这可能会影响人类健康。现行法规对这些残留进行了限制。因此,我们构建了一种新的限测方法来快速测定磺胺类药物残留水平。采用最新的 TLC-SERS 方法检测了 6 种磺胺类药物,分别为磺胺甲恶唑(A)、磺胺间甲氧嘧啶(B)、磺胺多辛(C)、磺胺二甲嘧啶(D)、磺胺甲噁唑(E)和磺胺噻唑(F)。考察了 6 种磺胺类药物的 SERS 检测优化条件,比较了不同 TLC 铺展剂对它们的分离效果。然后,我们成功地建立了一种分离系统,采用二氯甲烷-甲醇-氨水的比例为 5:1:0.25(//),对这 6 种药物具有良好的分离效果。通过 TLC 初步分离残留。在硅胶 G 板上对应特定位移值的点上加银溶胶溶液,进行 SERS 检测。将样品溶液置于 532nm 激光下的点上,收集并分析 6 种磺胺类药物的 SERS 光谱。结果表明,6 种磺胺类药物的 SERS 光谱明显不同,LOD 分别为 12.5、6.4、6.3、7.1、18.8 和 6.2ng/mL,从 A 到 F。RSD<3.0%。在 48 小时内,每种磺胺类药物的 SERS 信号保持稳定,RSD<3.0%。TLC-SERS 方法检测 20 个样品的结果与 UPLC-MS/MS 检测结果一致。建立的 TLC-SERS 方法简单快速,为食品中残留限量的快速检测提供了有益的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59b5/11357332/38f4c5cd3cd9/molecules-29-03977-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验