ReviewJournal of food science and technology2015
Review of methods for the detection and quantification of adulteration of rice: Basmati as a case study.
Review in Journal of food science and technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Analysis of volatile compounds by GCMS reveals their rice cultivars.Scientific reports · 2023Article
- Mechanisms and Health Aspects of Food Adulteration: A Comprehensive Review.Foods (Basel, Switzerland) · 2023Review
- Time-Resolved Laser-Induced Breakdown Spectroscopy for Accurate Qualitative and Quantitative Analysis of Brown Rice Flour Adulteration.Foods (Basel, Switzerland) · 2022Article
- Fingerprinting of Volatile Organic Compounds for the Geographical Discrimination of Rice Samples from Northeast China.Foods (Basel, Switzerland) · 2022Article
- DNA-Based Tools to Certify Authenticity of Rice Varieties-An Overview.Foods (Basel, Switzerland) · 2022Review
- Computer Vision and Machine Learning Analysis of Commercial Rice Grains: A Potential Digital Approach for Consumer Perception Studies.Sensors (Basel, Switzerland) · 2021Article
- Feasibility study on the use of elemental profiles to authenticate aromatic rice: the case of Basmati and Thai rice.Analytical and bioanalytical chemistry · 2021Article
- Optimization and Development of Ready to Eat Chocolate Coated Roasted Flaked Rice as Instant Breakfast Food.Foods (Basel, Switzerland) · 2021Article
- Differences in physicochemical properties of commercial rice from urban markets in West Africa.Journal of food science and technology · 2020Article
- Non-destructive profiling of volatile organic compounds using HS-SPME/GC-MS and its application for the geographical discrimination of white rice.Journal of food and drug analysis · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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