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利用稳定同位素分析的分析方法实现食品真实性和可追溯性。

Achieving Food Authenticity and Traceability Using an Analytical Method Focusing on Stable Isotope Analysis.

机构信息

Food Research Institute, National Agriculture and Food Research Organization (NARO), 2-1-12 Kannondai, Tsukuba, Ibaraki, 305-8642, Japan.

出版信息

Anal Sci. 2021 Jan 10;37(1):189-199. doi: 10.2116/analsci.20SAR14. Epub 2020 Nov 20.

DOI:10.2116/analsci.20SAR14
PMID:33229826
Abstract

High-value agricultural products are characterized by the geographical conditions of the production areas such as climatic and soil conditions. These products are protected by the geographical indication (GI) protection system, which has been introduced in more than 100 countries. Because GI products are expensive in the market, products are often mislabeled as GI. Thus, there is an urgent need for the development of analytical methods that enable the tracing of geographical origins of food materials. Stable isotope analysis is used to trace the geographical origin of food materials. In this study, we review the applications for tracing the geographical origin of agricultural products (especially rice, beef, and honey) focusing on an analytical method for analyzing stable isotopes (δD, δC, δN, δO, and δS).

摘要

高附加值农产品的特点是生产地区的地理条件,如气候和土壤条件。这些产品受到地理标志(GI)保护系统的保护,该系统已在 100 多个国家引入。由于 GI 产品在市场上价格昂贵,产品经常被误标为 GI。因此,迫切需要开发能够追踪食品材料地理来源的分析方法。稳定同位素分析用于追踪食品材料的地理来源。在本研究中,我们综述了用于追踪农产品(特别是大米、牛肉和蜂蜜)地理来源的应用,重点介绍了用于分析稳定同位素(δD、δC、δN、δO 和 δS)的分析方法。

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Food Chem. 2021 Jan 1;334:127599. doi: 10.1016/j.foodchem.2020.127599. Epub 2020 Jul 18.
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Authentication of organic pork and identification of geographical origins of pork in four regions of China by combined analysis of stable isotopes and multi-elements.采用稳定同位素和多种元素联合分析鉴定中国四个地区的有机猪肉和猪肉的地理来源。
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Geographical origin traceability of mulberry leaves using stable hydrogen, oxygen, and carbon isotope ratios.
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Subnanomolar Sensitive Stable Isotopic Determination in CO by Tunable Infrared Laser Absorption Spectroscopy.采用可调谐红外激光吸收光谱法对 CO 进行亚纳摩尔灵敏稳定同位素测定。
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Rapid Commun Mass Spectrom. 2020 Jul 15;34(13):e8795. doi: 10.1002/rcm.8795.
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A predictive spatial model for roasted coffee using oxygen isotopes of α-cellulose.使用α-纤维素的氧同位素预测烘焙咖啡豆的空间模型。
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