Multiresidue method for identification and quantification of avermectins, benzimidazoles and nitroimidazoles residues in bovine muscle tissue by ultra-high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) using a QuEChERS approach

IF 5.6 1区化学 Q1 CHEMISTRY, ANALYTICAL

Talanta Pub Date : 2017-08-15 DOI:10.1016/j.talanta.2017.05.012

Guilherme Resende da Silva , Josefa Abucater Lima , Leonardo Francisco de Souza , Flávio Alves Santos , Mary Ane Gonçalves Lana , Débora Cristina Sampaio de Assis , Silvana de Vasconcelos Cançado

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引用次数: 31

Abstract

A quantitative and confirmatory multiresidue method for determining the presence of avermectins, benzimidazoles and nitroimidazoles in bovine muscle tissue by ultra-high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) was developed, optimized and validated, using a QuEChERS extraction. The evaluated performance parameters were linearity, selectivity, matrix effect, decision limits (CCα), detection capability (CCβ), limits of detection (LOD), limits of quantification (LOQ), accuracy, precision and robustness. The validated method exhibited linearity with coefficient of determination (R²) higher than 0.90 in the working range from 0.5 to 2.0 times the maximum residue limit (MRL) or the minimum required performance level (MRPL) for the studied analytes, except for closantel, for which the linear study range was defined from 50 to 200 µg kg⁻¹. The method was selective in the presence of macrolides and lincosamides for all the studied analytes. The LOD varied from 0.007 to 66.715 µg kg⁻¹, whereas LOQ values ranging from 0.011 to 113.674 µg kg⁻¹ were found. The results of the evaluation of the accuracy and precision were satisfactory for all the studied analytes, and according to the assessment of the robustness, the method was not robust only for the analytes abamectin, moxidectin, doramectin fenbendazole sulfone, closantel, thiabendazole, hydroxyl-metronidazole and ronidazole. The performance parameters demonstrated total method adequacy for the detection and quantification of avermectins, benzimidazoles and nitroimidazoles residues in bovine muscle tissues.

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采用QuEChERS超高效液相色谱-串联质谱法(UHPLC-MS/MS)对牛肌肉组织中阿维菌素、苯并咪唑和硝基咪唑的残留进行鉴定和定量

建立了牛肌肉组织中阿维菌素、苯并咪唑和硝基咪唑的超高效液相色谱-串联质谱(UHPLC-MS/MS)多残留定量验证方法，并对其进行了优化和验证。评价的性能参数为线性、选择性、矩阵效应、决策限(CCα)、检测能力(CCβ)、检出限(LOD)、定量限(LOQ)、准确度、精密度和鲁棒性。验证的方法在最大残留限(MRL)或最小要求性能水平(MRPL)的0.5 ~ 2.0倍的工作范围内呈线性，决定系数(R2)大于0.90，除closantel外，其线性研究范围为50 ~ 200µg kg - 1。该方法在大环内酯类和林肯胺类化合物存在的情况下对所研究的分析物具有选择性。LOD范围为0.007 ~ 66.715µg kg - 1, LOQ范围为0.011 ~ 113.674µg kg - 1。结果表明，该方法仅对阿维菌素、莫西丁素、多拉菌素、芬苯达唑砜、closantel、噻苯达唑、羟甲硝唑和罗硝唑等分析物具有较好的鲁棒性。性能参数表明，该方法完全适合于牛肌肉组织中阿维菌素、苯并咪唑和硝基咪唑残留的检测和定量。

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来源期刊

Talanta 化学-分析化学

CiteScore

12.30

自引率

4.90%

发文量

861

审稿时长

29 days

期刊介绍： Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.