Analysis of pesticides, veterinary drugs, and environmental contaminants in goat and lamb by the QuEChERSER mega-method.
Analysis of pesticides, veterinary drugs, and environmental contaminants in goat and lamb by the QuEChERSER mega-method.
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使用 QuEChERSER 巨型方法分析山羊和羔羊中的农药、兽药和环境污染物。
DOI：
10.1039/d2ay00713d
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
S. H. Monteiro
中科院分区：
文献类型：
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作者：
E. Ninga;S. Lehotay;Y. Sapozhnikova;A. Lightfield;G. Strahan;S. H. Monteiro
由于缺乏满足国际贸易质量标准所需的财政和专业资源，对发展中国家来说，分析食品中的化学残留物是一个巨大的挑战。然而，在监测程序中实现简单的多类、多残留方法可以节省成本、时间和劳动力。该项目的目的是研究“快速、简单、廉价、有效、坚固、安全、高效和坚固”（QuEChERSER）的山羊和羔羊脂肪肌肉基质的超级方法。为了实现对农药、环境污染物、兽药的广泛分析范围，采用超高效液相色谱和低压气相色谱（UHPLC和LPGC）结合串联质谱（MS/MS）对提取物进行分析。QuEChERSER大型方法在绵羊（山羊）和绵羊（羔羊）肌肉中进行了4个不同峰值水平的验证，每个水平10个重复，共检测了330种分析物和代谢物，包括225种农药、89种兽药和16种多氯联苯（PCBs）。在使用LPGC-MS/MS（在自动“仪器顶部样品制备”之前）的情况下，92%和82%的分析物分别达到了山羊和羔羊的70-120%回收率和<20% RSD的数据质量目标。对于UHPLC-MS/MS， 95%和92%的分析物分别符合山羊和羔羊的可接受验证标准。因此，QuEChERSER大型方法已被证明是一种有用的简化方法，可以更有效地取代目前用于覆盖相同分析范围的多种方法。
Analysis of chemical residues in foods is a big challenge for developing countries due to lack of financial and professional resources needed to meet international quality standards for trade. However, the implementation of simple multiclass, multi-residue methods in monitoring programs can provide significant benefits to save cost, time, and labor. The aim of this project was to investigate the "quick, easy, cheap, effective, rugged, safe, efficient, and robust" (QuEChERSER) mega-method for the fatty muscle matrices of goat and lamb. To achieve wide analytical scope covering pesticides, environmental contaminants, and veterinary drugs, extracts were analyzed by both ultrahigh-performance liquid and low-pressure gas chromatography (UHPLC and LPGC) coupled with tandem mass spectrometry (MS/MS). The QuEChERSER mega-method was validated in ovine (goat) and caprine (lamb) muscles at four different spiking levels with 10 replicates per level for a total of 330 analytes and metabolites, consisting of 225 pesticides, 89 veterinary drugs, and 16 polychlorinated biphenyls (PCBs). In the case of LPGC-MS/MS (preceded by automated "instrument-top sample preparation"), 92% and 82% of the analytes met the data quality objectives of 70-120% recovery and <20% RSD for goat and lamb, respectively. For UHPLC-MS/MS, 95% and 92% of the analytes met the acceptable validation criteria in goat and lamb, respectively. Thus, the QuEChERSER mega-method has been demonstrated to be a useful streamlined approach to more efficiently replace multiple methods currently used to cover the same analytical scope.