Nanotechnology-enabled Approaches for Analyzing the Prevalence and Detection of Adulterants in Milk: A Scientific Study on Food Safety and Quality Control

Milk adulteration remains a critical public health concern worldwide, particularly in developing countries where regulatory oversight and detection infrastructure are often limited. Conventional methods, including basic chemical assays, provide rapid screening but lack the required sensitivity and specificity. Modern analytical techniques such as Liquid Chromatography (LC), Enzyme-Linked Immunosorbent Assay (ELISA), Polymerase Chain Reaction (PCR), and Polyacrylamide Gel Electrophoresis (PAGE) have significantly improved precision, yet their widespread application is hindered by cost and technical requirements. Recent advances in nanotechnology offer promising alternatives by enabling the development of highly sensitive, rapid, and cost-effective nano-biosensors, nanostructured substrates, and nanoparticle-based colorimetric assays for adulterant detection. These approaches enhance signal amplification, lower detection limits, and allow for point-of-care analysis even in resource-limited settings. This review integrates both conventional and emerging nano-enabled detection techniques, classifies adulterants into economically motivated (e.g., water, whey, vegetable proteins) and health-threatening (e.g., melamine, urea, detergents, formalin), and discusses their impact on milk’s nutritional and safety parameters. Finally, the study emphasizes the urgent need for interdisciplinary strategies combining nanoscience, regulatory standards, and consumer education to ensure the safety and authenticity of dairy products.

Authors

Publication Details

Journal
International journal of food science and agriculture
Published
2025-10-13
DOI
https://doi.org/10.26855/ijfsa.2025.09.004
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
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article

Nanotechnology-enabled Approaches for Analyzing the Prevalence and Detection of Adulterants in Milk: A Scientific Study on Food Safety and Quality Control

Shahab Ahmed, Satyadhar Joshi, Fawad Inam, Aneeqa Zafar et al.
International journal of food science and agriculture
Identification and Quantification in Food
article

Nanotechnology-enabled Approaches for Analyzing the Prevalence and Detection of Adulterants in Milk: A Scientific Study on Food Safety and Quality Control

Shahab Ahmed, Satyadhar Joshi, Fawad Inam, Aneeqa Zafar, Anila Sajjad, Mohammed Ihtesham Hussain, Muhammad Shafi, Noor Zulfiqar
article en

Abstract

Milk adulteration remains a critical public health concern worldwide, particularly in developing countries where regulatory oversight and detection infrastructure are often limited. Conventional methods, including basic chemical assays, provide rapid screening but lack the required sensitivity and specificity. Modern analytical techniques such as Liquid Chromatography (LC), Enzyme-Linked Immunosorbent Assay (ELISA), Polymerase Chain Reaction (PCR), and Polyacrylamide Gel Electrophoresis (PAGE) have significantly improved precision, yet their widespread application is hindered by cost and technical requirements. Recent advances in nanotechnology offer promising alternatives by enabling the development of highly sensitive, rapid, and cost-effective nano-biosensors, nanostructured substrates, and nanoparticle-based colorimetric assays for adulterant detection. These approaches enhance signal amplification, lower detection limits, and allow for point-of-care analysis even in resource-limited settings. This review integrates both conventional and emerging nano-enabled detection techniques, classifies adulterants into economically motivated (e.g., water, whey, vegetable proteins) and health-threatening (e.g., melamine, urea, detergents, formalin), and discusses their impact on milk’s nutritional and safety parameters. Finally, the study emphasizes the urgent need for interdisciplinary strategies combining nanoscience, regulatory standards, and consumer education to ensure the safety and authenticity of dairy products.

International journal of food science and agricultureVol. 10(13)
Openalex Percentile: Top 74%
Identification and Quantification in Food
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