基于UPLC-QTOF-MS/MS分子网络的卡因类兽药残留检测及裂解规律研究

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关键词UPLC-QTOF-MS/MS;卡因类兽药;残留检测;质谱裂解规律;分子网络

中图分类号S859.84文献标识码A

文章编号 0517-6611（2025）17-0185-08

doi：10.3969/j. issn. 0517-6611. 2025. 17. 039

开放科学（资源服务）标识码（OSID）：

Detectionof Caine Veterinary Drug Residues Based on UPLC-QTOF-MS/MS Molecular Networking and Study of Their Cracking Rule

WANG Wei1，LIXiao-qin²，ZHANGLing1²etal（1.Suzhou InstituteforFoodInspectionandTestingCenter，Suzhou，Jiangu;2.KeyLaboratoryofJiangsuProvinceMarketRgulation（FoodSafetyRapidDetectionTechologandProductEvaluation），Szhou，Jiangsu ）

AbstractThedetectionmethdoftencaineveterinarydrugswasestablishedbasedonUPLC-QTOF-MS/MS.Thecorelationcoficient （R2） was 0.979 0-0. 999 3. The limit of detection（LOD）was 0.1-50.0ng/mL ，and the limit of quantitation（LOQ）was 10. 0- （204号 250.0ng/mL .Combined with GNPS，massspectrumcracking ruleand visualization of molecular networking were explored.A new methodfor rapidscreningofcaineveterinarydrugresidueswasdevelopedbycomparingandanalyzingthemassspectruminformationofcomponent groups/clusters.

Key wordsUPLC-QTOF-MS/MS;Caine veterinarydrugs;Residue detection;Massspectrum cracking rule;Molecular networking

兽药在现代畜牧业的应用十分普遍，但因为兽药的不合规使用甚至滥用，导致动物源性食品中的兽药残留超标屡见不鲜，对人体的健康造成不利影响。（剩余10194字）