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Abstract：
Rice is a staple and widely grown crop endowed with rich genetic diversity. As it is difficult to differentiate seeds of various rice varieties based on visual observation accurately, the harvested seeds and subsequent processed products are highly prone to adulteration with look-alike and low quality seeds by the dishonest traders. To protect the interests of importing countries and consumers, several methods have been employed over the last few decades for unambiguous discrimination of cultivars, accurate quantification of the adulterants, and for determination of cultivated geographical area. With recent advances in biotechnology, DNA based techniques evolved rapidly and proved successful over conventional non-DNA based methods to purge the problem of adulteration at commercial level. In the current review, we made an attempt to summarize the existing methods of adulteration detection and quantification in a comprehensive manner by providing Basmati as a case study to enable the traders to arrive at a quick resolution in choosing the apt method to eliminate the adulteration practice in the global rice industry.
摘要：
水稻是一种主要和广泛种植的作物，具有丰富的遗传多样性。由于很难根据视觉观察准确区分各种水稻品种的种子，收获的种子和随后的加工产品极易被不诚实的商人掺假，与外观相似和质量低的种子掺假。保护进口国和消费者的利益,在过去的几十年中，已经采用了几种方法来明确区分品种，准确量化掺假物，并用于确定栽培地理区域。随着生物技术的最新进展，基于DNA的技术发展迅速，并被证明比传统的非基于DNA的方法成功，以消除商业水平的掺假问题。在当前的审查中，我们试图通过提供Basmati作为案例研究来全面总结现有的掺假检测和量化方法，以使交易者在选择适当的方法以消除全球大米行业的掺假做法时能够快速解决问题。
