Long-term isotopic model study for ecofriendly rice (Oryza sativa L.) authentication: Updating a case study in South Korea
| Autor: | Hee-Sung Moon, Ill-Min Chung, Seung-Hyun Kim, Hee-Youn Chi, Yun-Ju Kim |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Organic product
Support Vector Machine Discriminant model Certification 01 natural sciences Consumer safety Analytical Chemistry 0404 agricultural biotechnology Republic of Korea Pesticides Carbon Isotopes Organic Agriculture Authentication Oryza sativa Nitrogen Isotopes business.industry Model study 010401 analytical chemistry Discriminant Analysis Reproducibility of Results food and beverages Oryza 04 agricultural and veterinary sciences General Medicine 040401 food science 0104 chemical sciences Biotechnology Agriculture Food Organic Business Food Analysis Food Science |
| Zdroj: | Food Chemistry. 362:130215 |
| ISSN: | 0308-8146 |
| DOI: | 10.1016/j.foodchem.2021.130215 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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