Rooney Megan K, Herrman Timothy J
Office of the Texas State Chemist, Texas A&M AgriLife Research, College Station, TX, 77841, USA.
Heliyon. 2024 Jul 17;10(15):e34768. doi: 10.1016/j.heliyon.2024.e34768. eCollection 2024 Aug 15.
Testing accuracy of a chemical contaminant requires use of a testing platform that conforms to validation criteria outlined in quality literature and standards. This study explores the application of commercial field data measured by qualified analysts using a United States Department of Agriculture - Federal Grain Inspection Service approved kit for measuring fumonisin in maize to augment method validation procedures. Analysts from seven grain testing facilities were qualified in official USDA sampling, sample preparation, and testing methodology using the Charm LF-FUMQ-WETS5. A duplicate sample was tested in the Office of the Texas State Chemist (OTSC) laboratory using UPLC-MS-MS. Data were subject to four statistical techniques using continuous and categorical methodology. This approach enabled researchers to explore if a single test or multiple comparisons were best suited to assess a field kit's fitness for purpose across facility, toxin level, and year. The study concluded that a paired -test and correlation analysis provided a quick and meaningful evaluation of kit performance. The correct placement of samples within the correct bin (violative versus non-violative) aligns well with market forces and regulatory compliance. The results of this study also provide a useful tool to assess all field kits' performance at the beginning of the harvest season and subsequent years. The combination of statistical techniques presented in this research is an important tool in assessing mycotoxin field test kits fitness for purpose and represents a key step in a continuous improvement-quality systems process meant to protect the feed and food supply.
检测化学污染物的准确性需要使用符合质量文献和标准中概述的验证标准的检测平台。本研究探讨了由合格分析人员使用美国农业部联邦谷物检验局批准的用于检测玉米中伏马菌素的试剂盒所测量的商业现场数据在增强方法验证程序方面的应用。来自七个谷物检测机构的分析人员通过使用Charm LF-FUMQ-WETS5在官方美国农业部采样、样品制备和检测方法方面获得了资质。在德克萨斯州化学家办公室(OTSC)实验室使用超高效液相色谱-串联质谱法对一个重复样品进行了检测。数据采用连续和分类方法接受了四种统计技术分析。这种方法使研究人员能够探究单次测试或多次比较是否最适合评估现场试剂盒在不同机构、毒素水平和年份的适用性。该研究得出结论,配对检验和相关性分析为试剂盒性能提供了快速且有意义的评估。将样品正确放置在正确的类别中(违规与非违规)与市场力量和法规合规性高度契合。本研究结果还为在收获季节开始时及随后年份评估所有现场试剂盒的性能提供了一个有用的工具。本研究中提出的统计技术组合是评估霉菌毒素现场检测试剂盒适用性的重要工具,并且是旨在保护饲料和食品供应的持续改进质量体系过程中的关键一步。