Article Title

Comparing determination methods of detection and quantification limits for aflatoxin analysis in hazelnut


Ü. Şengül


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. © 2015, Food and Drug Administration, Taiwan. Published by Elsevier Taiwan LLC.

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Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.