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Cited by 339

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Common milk adulteration and their detection techniques

Open access
Azad, Tanzina, Ahmed, Shoeb·2016·International Journal of Food Contamination

Abstract

Food adulteration is a global concern and developing countries are at higher risk associated with it due to lack of monitoring and policies. However, this is one of the most common phenomena that has been overlooked in many countries. Unfortunately, in contrast to common belief, milk adulterants can pose serious health hazards leading to fatal diseases. This paper presents a detailed review of common milk adulterants as well as different methods to detect the adulterants both qualitatively and quantitatively. This study is organized to be an 'adulterant based' study instead of 'techniques based' one, where qualitative detection for most of the common adulterants are enlisted and quantitative detection methods are limited to few major adulterants of milk. Apart from regular techniques, recent development in these detection techniques have also been reported. Nowadays milk is being adulterated in more sophisticated ways that demands for cutting edge research for the detection of the adulterants. This review intends to contribute towards the common knowledge base regarding possible milk adulterants and their detection techniques.

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Metadata

Authors
Azad, T., & Ahmed, S.
Venue
International Journal of Food Contamination
Published
2016-12
Volume
3
Issue
1
ISSN
2196-2804 (ISSN-L)
OpenAlex
W2559848180
Cited by
339
References
32
FWCI
5.57
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Common milk adulteration and their detection techniques. https://app.cochat.ai/papers/10.1186/s40550-016-0045-3
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Azad, T., & Ahmed, S. (2016). Common milk adulteration and their detection techniques. International Journal of Food Contamination. https://doi.org/10.1186/s40550-016-0045-3

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.