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用于检测牛奶掺假的光谱技术的系统综述

A Systematic Review of Spectroscopic Techniques for Detecting Milk Adulteration.

作者信息

Joolaei Ahranjani Parsa, Dehghan Kamine, Esfandiari Zahra, Joolaei Ahranjani Parham

机构信息

Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.

Department of Materials Science, University of Milano Bicocca, Milan, Italy.

出版信息

Crit Rev Anal Chem. 2025 Apr 14:1-32. doi: 10.1080/10408347.2025.2477535.

Abstract

Milk adulteration is a crucial worldwide concern that endangers food safety and public health, as it involves the deliberate tampering with milk by adding foreign substances or removing essential nutrients, often to boost profits or hinder microbial growth. Traditional detection methods frequently lack the sensitivity and speed required to identify adulterants within milk's complex matrix. This systematic review critically examines the application of spectroscopic techniques for detecting milk adulteration, focusing on Nuclear Magnetic Resonance (NMR), Infrared (IR) Spectroscopy, Raman Spectroscopy, Ultraviolet-Visible (UV-Vis) Spectroscopy, Mass Spectrometry, Laser-Based Techniques, Dielectric Spectroscopy, and X-Ray Spectroscopy. Each technique's principles, advantages, limitations, and specific applications in identifying adulterants, such as water, urea, melamine, added sugars, fats, preservatives, and heavy metals are discussed. The review highlights how these methods offer rapid, non-destructive, and sensitive analysis, enhancing the ability to detect adulterants at molecular levels. Despite advancements, challenges persist, including the complexity and natural variability of milk composition, high costs of advanced equipment, need for specialized expertise, and lack of standardized protocols. Future directions emphasize developing portable and cost-effective spectroscopic devices, integrating artificial intelligence and machine learning for advanced data analysis, and fostering international collaboration to establish standardized methodologies and comprehensive spectral databases. By addressing these challenges, spectroscopic techniques can be more widely implemented, ultimately safeguarding public health, ensuring the integrity of dairy products, and maintaining consumer trust in the global food supply chain.

摘要

牛奶掺假是一个全球性的关键问题,它危及食品安全和公众健康,因为这涉及通过添加异物或去除必需营养成分来蓄意篡改牛奶,目的往往是增加利润或抑制微生物生长。传统的检测方法常常缺乏在牛奶复杂基质中识别掺假物所需的灵敏度和速度。本系统综述批判性地审视了光谱技术在检测牛奶掺假方面的应用,重点关注核磁共振(NMR)、红外(IR)光谱、拉曼光谱、紫外可见(UV-Vis)光谱、质谱、基于激光的技术、介电光谱和X射线光谱。讨论了每种技术的原理、优点、局限性以及在识别掺假物(如水、尿素、三聚氰胺、添加糖、脂肪、防腐剂和重金属)方面的具体应用。该综述强调了这些方法如何提供快速、无损和灵敏的分析,增强了在分子水平检测掺假物的能力。尽管取得了进展,但挑战依然存在,包括牛奶成分的复杂性和天然变异性、先进设备的高成本、对专业知识的需求以及缺乏标准化方案。未来的方向强调开发便携式且经济高效的光谱设备,整合人工智能和机器学习以进行先进的数据分析,并促进国际合作以建立标准化方法和全面的光谱数据库。通过应对这些挑战,光谱技术可以得到更广泛的应用,最终保障公众健康,确保乳制品的完整性,并维持消费者对全球食品供应链的信任。

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