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
- Shahab Ahmed
- Satyadhar Joshi (ORCID: https://orcid.org/0009-0002-6011-5080)
- Fawad Inam (ORCID: https://orcid.org/0000-0002-3149-7991)
- Aneeqa Zafar (ORCID: https://orcid.org/0000-0002-6009-3945)
- Anila Sajjad (ORCID: https://orcid.org/0000-0002-7670-3947)
- Mohammed Ihtesham Hussain (ORCID: https://orcid.org/0000-0002-8501-3825)
- Muhammad Shafi
- Noor Zulfiqar
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
- 0.00