干旱区生态环境知识资源中心(Arid): Multi-class/residue method for determination of veterinary drug residues, mycotoxins and pesticide in urine using LC-MS/MS technique

Arid

DOI	10.1186/s12917-023-03720-2
	Multi-class/residue method for determination of veterinary drug residues, mycotoxins and pesticide in urine using LC-MS/MS technique
	Hajrulai-Musliu, Zehra; Uzunov, Risto; Jovanov, Stefan; Musliu, Dea; Dimitrieska-Stojkovikj, Elizabeta; Stojanovska-Dimzoska, Biljana; Angeleska, Aleksandra; Stojkovski, Velimir; Sasanya, James Jacob
通讯作者	Hajrulai-Musliu, Z
来源期刊	BMC VETERINARY RESEARCH
EISSN	1746-6148
出版年	2023
卷号	19 期号:1
英文摘要	Background Veterinary drugs are widely used in animals to prevent diseases and are a complex set of drugs with very different chemical properties. Multiclass and multi-residue methods for simultaneous detection of residues from veterinary drugs and contaminants in urine are very rare or non-existent. Therefore, the aim of this study was to develop and validate a sensitive and reliable quantitative LC-MS/MS method for simultaneous determination of a wide range of veterinary drug and pesticide residues and mycotoxins in bovine urine. This involved 42 veterinary drug residues (4 thyreostats, 6 anabolic hormones, 2 lactones, 10 beta agonists, 15 antibiotics, 5 sulphonamides), 28 pesticides and 2 mycotoxins. Stable isotopically labelled internal standards were used to facilitate effective quantification of the analytes. Analysis was performed in both positive and negative ionization modes with multiple reaction monitoring transitions over a period of 12 min. Results The parameters validated included linearity, limit of detection (LOD), limit of quantification (LOQ), detection capability (CC ss), decision limit (CCa), stability, accuracy and precision. The process followed guidelines of the regulation 2021/808/EC. The calibration curves were linear with coefficient of correlation (R2) from 0.991 to 0.999. The LODs were from 0.01 to 2.71 mu g/L, while the LOQs were from 0.05 to 7.52 mu g/L. The CCa and CC ss were in range 0.05-12.11 mu g/L and 0.08-15.16 mu g/L. In addition, the average recoveries of the spiked urine samples were from 71.0 to 117.0% and coefficient of variation (CV) < 21.38% (intraday and interday). Conclusion A new isotopic LC-MS/MS method has been developed, validated and applied for identification and quantification of 72 residues of veterinary drugs and pesticides and other contaminants such as mycotoxins in bovine urine. The most appropriated sample preparation procedures involved sodium acetate buffer, enzymatic hydrolysis using ss-glucuronidase and cleanup solid phase extraction with OASIS SPE cartridges. The parameters were satisfactorily validated fulfilling requirements under Regulation 2021/808/EC. Consequently, the method could be used in routine analysis of bovine urine samples for simultaneous detection of veterinary drug and pesticide residues as well as contaminants such as mycotoxins.
英文关键词	Veterinary drugs Mycotoxins Pesticides Urine LC-MS/MS Method development
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:001067839400001
WOS关键词	MASS-SPECTROMETRY ; MULTIRESIDUE METHOD ; ANABOLIC-STEROIDS ; SCREENING METHOD ; HORSE URINE ; BASIC DRUGS ; LIQUID ; MEAT ; MUSCLE ; FOOD
WOS类目	Veterinary Sciences
WOS研究方向	Veterinary Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395598
推荐引用方式 GB/T 7714	Hajrulai-Musliu, Zehra,Uzunov, Risto,Jovanov, Stefan,et al. Multi-class/residue method for determination of veterinary drug residues, mycotoxins and pesticide in urine using LC-MS/MS technique[J],2023,19(1).
APA	Hajrulai-Musliu, Zehra.,Uzunov, Risto.,Jovanov, Stefan.,Musliu, Dea.,Dimitrieska-Stojkovikj, Elizabeta.,...&Sasanya, James Jacob.(2023).Multi-class/residue method for determination of veterinary drug residues, mycotoxins and pesticide in urine using LC-MS/MS technique.BMC VETERINARY RESEARCH,19(1).
MLA	Hajrulai-Musliu, Zehra,et al."Multi-class/residue method for determination of veterinary drug residues, mycotoxins and pesticide in urine using LC-MS/MS technique".BMC VETERINARY RESEARCH 19.1(2023).