Multi-class/residue method for determination of veterinary drug residues, mycotoxins and pesticide in urine using LC-MS/MS technique

被引:4
|
作者
Hajrulai-Musliu, Zehra [1 ]
Uzunov, Risto [1 ]
Jovanov, Stefan [1 ]
Musliu, Dea [2 ]
Dimitrieska-Stojkovikj, Elizabeta [1 ]
Stojanovska-Dimzoska, Biljana [1 ]
Angeleska, Aleksandra [1 ]
Stojkovski, Velimir [1 ]
Sasanya, James Jacob [3 ]
机构
[1] Ss Cyril Methodius Univ Skopje, Fac Vet Med Skopje, Lazar Pop Trajkov 5-7, Skopje 1000, North Macedonia
[2] Ss Cyril & Methodius Univ Skopje, Fac Pharm, Majka Tereza 47, Skopje 1000, North Macedonia
[3] IAEA, Vienna Int Ctr, POB 100, A-1400 Vienna, Austria
关键词
Veterinary drugs; Mycotoxins; Pesticides; Urine; LC-MS/MS; Method development; MASS-SPECTROMETRY; MULTIRESIDUE METHOD; ANABOLIC-STEROIDS; SCREENING METHOD; HORSE URINE; BASIC DRUGS; LIQUID; MEAT; MUSCLE; FOOD;
D O I
10.1186/s12917-023-03720-2
中图分类号
S85 [动物医学(兽医学)];
学科分类号
0906 ;
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.
引用
收藏
页数:30
相关论文
共 50 条
  • [21] Validation of a method for the determination of 120 pesticide residues in apples and cucumbers by LC-MS/MS
    Ramadan, Gouda
    Al Jabir, Muna
    Alabdulmalik, Najat
    Mohammed, Ali
    DRUG TESTING AND ANALYSIS, 2016, 8 (5-6) : 498 - 510
  • [22] Development, validation and different approaches for the measurement uncertainty of a multi-class veterinary drugs residues LC-MS method for feeds
    Valese, Andressa Camargo
    Molognoni, Luciano
    de Souza, Naielly Coelho
    de Sa Ploencio, Leandro Antunes
    Oliveira Costa, Ana Carolina
    Barreto, Fabiano
    Daguer, Heitor
    JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2017, 1053 : 48 - 59
  • [23] LC-MS/MS Determination of Organophosphorus Pesticide Residues in Coconut Water
    Pragney Deme
    Tirupathi Azmeera
    Sanjit Kanjilal
    Padmaja Jonnalagadda
    Vijaya Saradhi Upadhyayula
    Food Analytical Methods, 2013, 6 : 1162 - 1169
  • [24] Simultaneous Determination of Pesticide Residues in Agricultural Products by LC-MS/MS
    Watanabe, Minae
    Ueno, Eiji
    Inoue, Tomomi
    Ohno, Haruka
    Ikai, Yoshitomo
    Morishita, Toshio
    Oshima, Harumi
    Hayashi, Rumiko
    FOOD HYGIENE AND SAFETY SCIENCE, 2013, 54 (01): : 14 - 24
  • [25] LC-MS/MS Determination of Organophosphorus Pesticide Residues in Coconut Water
    Deme, Pragney
    Azmeera, Tirupathi
    Kanjilal, Sanjit
    Jonnalagadda, Padmaja
    Upadhyayula, Vijaya Saradhi
    FOOD ANALYTICAL METHODS, 2013, 6 (04) : 1162 - 1169
  • [26] DETERMINATION OF PESTICIDE RESIDUES IN SOME OILSEEDS AND NUTS USING LC-MS/MS ANALYSIS
    Ozkan, Ali
    FRESENIUS ENVIRONMENTAL BULLETIN, 2015, 24 (2A): : 615 - 620
  • [27] Thyrostatic residues determination in thyroid, muscle and urine by LC-MS/MS
    Migarone, E.
    Ferro, G. L.
    Pennazio, E.
    Ostorero, F.
    Leporati, M.
    Pezzolato, M.
    Marchis, D.
    Gili, M.
    JOURNAL OF VETERINARY PHARMACOLOGY AND THERAPEUTICS, 2018, 41 : 121 - 121
  • [28] Development of a Rapid LC–MS–MS Method for Multi-Class Determination of 14 Coccidiostat Residues in Eggs and Chicken
    Bing Shao
    Xiaoyan Wu
    Jing Zhang
    Hejun Duan
    Xiaogang Chu
    Yongning Wu
    Chromatographia, 2009, 69 : 1083 - 1088
  • [29] Comparison of Different Sorbents in the QuEChERS Method for the Determination of Pesticide Residues in Strawberries by LC-MS/MS
    Oshita, Daniele
    Jardim, Isabel C. S. F.
    CHROMATOGRAPHIA, 2014, 77 (19-20) : 1291 - 1298
  • [30] Optimization and evaluation of four multi-residue methods for the determination of pesticide residues in orange oil using LC-MS/MS and GC-MS/MS: a comparative study
    Elshabrawy, Mahmoud S.
    Khorshid, Mona A.
    Hamdy Abdelwahed, Mahmoud
    Abo-Aly, Mohamed M.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY, 2023, 103 (16) : 4061 - 4078