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A systematic account of food adulteration and recent trends in the non-destructive analysis of food fraud detection

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Abstract

Food safety and authenticity have become a serious concern among consumers worldwide. Economically motivated practices of food fraud can have widespread implications for public health and reduce the overall food quality. As such, there is a rapidly increasing requirement for more sensitive and accurate methods to detect deliberate adulteration of food commodities. An attempt to summarize the present status of adulterated foods, the most common adulterants used, and the non-destructive methods to detect food fraud, has been made in this review article. The techniques and modern methods of food adulteration detection including NIR, FTIR, Raman spectroscopy, NMR, e-nose/e-tongue, and LIBS have been discussed. The methods of qualitative and quantitative data analysis have a significant role in the determination of process efficiency and as such a comprehensive knowledge of the process and recent applications discussed in the review would be of high interest to solve food adulteration problems.

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Acknowledgements

The first author was financially assisted through a student fellowship from the Indian Council of Agricultural Research, Senior Research Fellowship programme.

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  1. Department of Processing and Food Engineering, Punjab Agricultural University, Ludhiana, Punjab, 141004, India

    Raouf Aslam, Sajeev Rattan Sharma, Jaspreet Kaur & Afthab Saeed Panayampadan

  2. Department of Biosciences, Chandigarh University, Mohali, Punjab, 140413, India

    Owias Iqbal Dar

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Aslam, R., Sharma, S.R., Kaur, J. et al. A systematic account of food adulteration and recent trends in the non-destructive analysis of food fraud detection. Food Measure 17, 3094–3114 (2023). https://doi.org/10.1007/s11694-023-01846-3

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