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Abstract：
To overcome the lack of consumer trust in ecofriendly products due to low reliability of ecofriendly certification and decreasing areas certified for growing ecofriendly agricultural products, alternative approaches for reliable certification are required. Isotopic-chemometric analysis has potential for determining organic authenticity, but previous studies have struggled to differentiate the authenticities of different rice types. The present study examined 5-year variations in δ13C and δ15N in ecofriendly and conventional rice sold at retail markets in South Korea, while assessing the feasibility of discriminant models for authentication of organic rice. Supporting vector machine analysis showed 4.4-14.6% better overall predictability of rice types than discriminant analysis and was effective in discriminating organic or conventional rice from pesticide-free rice, potentially enabling high-throughput screening to authenticate organic rice at marketplaces. Our findings provide reliable information for authenticating ecofriendly rice, with a potential to improve consumer safety and thus the confidence in organic products.
摘要：
为了克服消费者对生态友好产品缺乏信任，这是由于生态友好认证的可靠性低，以及不断增长的生态友好农产品认证的区域不断减少，需要可靠认证的替代方法。同位素化学计量学分析具有确定有机真实性的潜力，但是以前的研究一直在努力区分不同水稻类型的真实性。本研究检查了在韩国零售市场上出售的生态友好和常规大米中δ13C和δ15N的5年变化，同时评估判别模型对有机大米认证的可行性。支持向量机分析表明，水稻类型的总体可预测性比判别分析高4.4-14.6％，并且可以有效区分有机或常规水稻与无农药水稻，有可能在市场上进行高通量筛选以鉴定有机大米。我们的发现为鉴定生态水稻提供了可靠的信息，有可能提高消费者的安全性，从而提高对有机产品的信心。
