畜禽组织中甲氧苄啶和氟苯尼考的同时免疫层析检测方法研究OA北大核心CSTPCD
Simultaneous Detection of Trimethoprim and Florfenicol in Livestock Tissues Using Immunochromatography
针对动物源性食品中甲氧苄啶(TMP)和氟苯尼考(FF)复配使用残留的问题,以乳胶微球作为示踪信号探针,建立了同时检测鸡肉和猪肉样品中甲氧苄啶和氟苯尼考的乳胶微球侧流免疫层析方法(LMs-LFIA).基于特异性单克隆抗体7E6和SF15,通过逐步优化策略考察了探针制备条件、试纸条工作缓冲液以及样品垫处理液缓冲体系等对LMs-LFIA性能的影响.结果表明:在优化条件下,所建立的LMs-LFIA对鸡肉和猪肉样品中甲氧苄啶和氟苯尼考的可视化检出限分别为8 ng/g和12 ng/g,检测时间为8 min,且与甲氧苄啶和氟苯尼考的结构及功能类似物无明显交叉反应,方法特异性良好.所建方法对鸡、猪肉盲样的检测结果与超高效液相色谱-串联质谱(UPLC-MS/MS)仪器确证方法一致,适用于畜禽组织样本中甲氧苄啶和氟苯尼考残留的同时检测.
To address the problem of residues of trimethoprim(TMP)and florfenicol(FF)used in combination with food of animal origin,a latex microsphere lateral flow immunochromatographic as-say(LMs-LFIA)for the simultaneous detection of trimethoprim and florfenicol in chicken and pork samples using latex microspheres as tracer signal probes was established.Based on the specific mono-clonal antibodies 7E6 and SF15,a stepwise optimization strategy investigated the effects of probe preparation conditions,test strip working buffer,and sample pad treatment system on the perfor-mance of LMs-LFIA.The results showed that under the optimal conditions,the established LMs-LFIA visualized the detection limits of trimethoprim and florfenicol in chicken and pork samples at 8 ng/g and 12 ng/g,respectively,with a detection time of 8 min.There was no obvious crossover be-tween trimethoprim and florfenicol's structural and functional analogs,indicating good specificity.The established method was used for blind detection of chicken and pork samples,and the results were in agreement with those obtained by the UPLC-MS/MS instrumental confirmatory method.Therefore,the method is suitable for the simultaneous detection of trimethoprim and florfenicol resi-dues in livestock and poultry tissue samples.
高亚晖;张咏仪;凌志洲;谢美婵;杨金易;徐振林;王弘;沈玉栋
华南农业大学 食品学院 广东省食品质量安全重点实验室,广东 广州 510642
化学
甲氧苄啶氟苯尼考单克隆抗体乳胶微球侧流免疫层析快速检测
trimethoprimflorfenicolmonoclonal antibodieslatex microspheres lateral flow im-munochromatographic assay(LMs-LFIA)rapid detection
《分析测试学报》 2024 (006)
805-813 / 9
国家自然科学基金项目(32272400);广州市科技计划项目(202206010146)
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