Şengül Ümit
Giresun University, Central Research Laboratory, Giresun, Turkey.
J Food Drug Anal. 2016 Jan;24(1):56-62. doi: 10.1016/j.jfda.2015.04.009. Epub 2015 May 29.
Hazelnut is a type of plant that grows in wet and humid climatic conditions. Adverse climatic conditions result in the formation of aflatoxin in hazelnuts during the harvesting, drying, and storing processes. Aflatoxin is considered an important food contaminant, which makes aflatoxin analysis important in the international produce trade. For this reason, validation is important for the analysis of aflatoxin in hazelnuts. The limit of detection (LOD) and limit of quantification (LOQ) are two important parameters in validation. In this study, the LOD and LOQ values have been determined using the Association of Official Agricultural Chemists (AOAC) Method 991.31, which is one of the most viable high-performance liquid chromatography analysis methods in the analysis of aflatoxin in hazelnuts. Several approaches can be used to calculate LOD and LOQ values. In this study, to calculate the LOD and LOQ values, the visual evaluation (empirical) method, the signal-to-noise method, and calibration curve approaches were applied. The most appropriate approaches were compared. Our conclusion is that the visual evaluation method provided much more realistic LOD and LOQ values.
榛子是一种生长在潮湿气候条件下的植物。恶劣的气候条件会导致榛子在收获、干燥和储存过程中产生黄曲霉毒素。黄曲霉毒素被认为是一种重要的食品污染物,这使得黄曲霉毒素分析在国际农产品贸易中至关重要。因此,对榛子中黄曲霉毒素的分析进行验证很重要。检测限(LOD)和定量限(LOQ)是验证中的两个重要参数。在本研究中,使用官方农业化学家协会(AOAC)方法991.31测定了LOD和LOQ值,该方法是榛子中黄曲霉毒素分析中最可行的高效液相色谱分析方法之一。有几种方法可用于计算LOD和LOQ值。在本研究中,为了计算LOD和LOQ值,应用了目视评估(经验)法、信噪比法和校准曲线法。对最合适的方法进行了比较。我们的结论是,目视评估法提供了更实际的LOD和LOQ值。