Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul 05029, Republic of Korea.
School of Plant Resources and Landscape Architecture, Hankyong National University, Anseong 17579, Republic of Korea.
Food Chem. 2022 Dec 15;397:133819. doi: 10.1016/j.foodchem.2022.133819. Epub 2022 Jul 29.
Accurate authentication of ecofriendly shiitake, such as organic and pesticide-free shiitake, is required to improve food safety and to increase reliability of the national agrofood certification system; however, this is a challenging task. Therefore, this study examined the feasibility of bulk and compound-specific isotope analyses to discriminate ecofriendly shiitake against conventional counterparts. Using the compound-specific isotope model, the classification accuracy was greater (100%) than that of the bulk isotope model (74.5%) for each original sample set. In the compound-specific model, a cutting score of -4.42 discriminated organic shiitake from pesticide-free shiitake and a cutting score of 4.87 discriminated organic shiitake from conventional shiitake. The isotope fractionation trend was less influenced by shiitake type and the amino acid synthetic pathway. Thus, the compound-specific isotope model of amino acids may be a good complementary authentication tool to overcome the limitations of bulk stable isotopes or a pesticide residue test.
准确鉴别环保型香菇（如有机香菇和无农药香菇）对于提高食品安全水平和增强国家农产品认证体系的可靠性至关重要，但这是一项极具挑战性的任务。因此，本研究旨在探讨利用批量和化合物特异性同位素分析来区分环保型香菇和传统香菇的可行性。在原始样本集中，化合物特异性同位素模型的分类准确率（100%）高于批量同位素模型（74.5%）。在化合物特异性模型中，-4.42 的截断值可区分有机香菇和无农药香菇，4.87 的截断值可区分有机香菇和传统香菇。氨基酸的同位素分馏趋势受香菇类型和氨基酸合成途径的影响较小。因此，氨基酸的化合物特异性同位素模型可能是一种很好的补充鉴定工具，可以克服批量稳定同位素或农药残留测试的局限性。
