Queens University Belfast, School of Biological Sciences, Institute for Global Food Security, 19 Chlorine Gardens, Belfast, Antrim BT9 5DL, Northern Ireland.
Mars Global Food Safety Center, Beijing 101407, China.
J AOAC Int. 2021 Mar 5;104(1):16-28. doi: 10.1093/jaoacint/qsaa109.
Rice is an important staple food that is consumed around the world. Like many foods, the price of rice varies considerably, from very inexpensive for a low-quality product to premium pricing for highly prized varieties from specific locations. Therefore, like other foods it is vulnerable to economically motivated adulteration through substitution or misrepresentation of inferior-quality rice for more expensive varieties.
In this article we describe results of a research project focused on addressing potential food fraud issues related to rice supplies in China, India, Vietnam, and Ghana. Rice fraud manifests differently in each country; therefore, tailored solutions were required.
Here we describe a two-tiered testing regime of rapid screening using portable Near Infrared technology supported by second tier testing using mass spectrometry-based analysis of suspicious samples.
Portable Near Infrared spectroscopy models and laboratory-based Gas Chromatography-Mass Spectrometry methods were developed to differentiate between: high-value Basmati rice varieties and their potential adulterants; six Geographic Indicated protected rice varieties from specific regions within China; various qualities of rice in Ghana and Vietnam; and locally produced and imported rice in Ghana. Furthermore, an Inductively Coupled Plasma-Mass Spectrometry method was developed to support the Chinese rice varieties methods as well as a Liquid Chromatography Quadrupole Time-of-Flight Mass Spectrometry method for quality differentiation in Vietnam.
CONCLUSIONS/HIGHLIGHTS: This two-tier approach can provide a substantially increased level of testing through rapid screening outside of the laboratory with the reassurance of corroborating mass spectrometry-based laboratory analysis to support decision making.
大米是一种在世界各地广泛食用的重要主食。与许多食品一样,大米的价格差异很大,从低质量产品的非常便宜到来自特定地区的高价值优质品种的溢价。因此,像其他食品一样,它容易受到经济动机的掺假,通过用劣质大米替代或冒充更昂贵的品种。
本文描述了一个专注于解决与中国、印度、越南和加纳的大米供应有关的潜在食品欺诈问题的研究项目的结果。大米欺诈在每个国家的表现方式不同;因此,需要有针对性的解决方案。
这里我们描述了一个两级测试方案,使用便携式近红外技术进行快速筛选,然后使用基于质谱分析的可疑样品的二级测试进行支持。
便携式近红外光谱模型和基于实验室的气相色谱-质谱分析方法被开发出来,用于区分:高价值巴斯马蒂大米品种及其潜在掺杂物;来自中国特定地区的六种地理标志保护大米品种;加纳和越南的各种大米质量;以及加纳的本地生产和进口大米。此外,还开发了一种电感耦合等离子体质谱法来支持中国大米品种的方法,以及一种液相色谱四极杆飞行时间质谱法来支持越南的质量区分。
结论/亮点:这种两级方法可以通过在实验室外进行快速筛选提供更高水平的测试,同时通过基于质谱的实验室分析来支持决策,从而提供更高的可信度。