光谱检测牛奶掺假技术的系统综述。

IF 5.2 2区 化学 Q1 CHEMISTRY, ANALYTICAL
Parsa Joolaei Ahranjani, Kamine Dehghan, Zahra Esfandiari, Parham Joolaei Ahranjani
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引用次数: 0

摘要

牛奶掺假是全世界关注的一个重大问题,它危及食品安全和公众健康,因为它涉及故意在牛奶中添加外来物质或去除必需营养素,通常是为了提高利润或阻碍微生物的生长。传统的检测方法往往缺乏在牛奶的复杂基质中识别掺假所需的灵敏度和速度。本系统综述严格审查了光谱技术在检测牛奶掺假中的应用,重点是核磁共振(NMR)、红外(IR)光谱、拉曼光谱、紫外可见(UV-Vis)光谱、质谱、激光技术、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。综述强调了这些方法如何提供快速、无损和敏感的分析,提高了在分子水平上检测掺假的能力。尽管取得了进步,但挑战依然存在,包括牛奶成分的复杂性和自然变异性、先进设备的高成本、对专业知识的需求以及缺乏标准化协议。未来的发展方向强调开发便携式和具有成本效益的光谱设备,集成人工智能和机器学习进行高级数据分析,促进国际合作建立标准化方法和综合光谱数据库。通过解决这些挑战,光谱技术可以得到更广泛的应用,最终保护公众健康,确保乳制品的完整性,并维护消费者对全球食品供应链的信任。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Systematic Review of Spectroscopic Techniques for Detecting Milk Adulteration.

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.

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来源期刊
CiteScore
12.00
自引率
4.00%
发文量
137
审稿时长
6 months
期刊介绍: Critical Reviews in Analytical Chemistry continues to be a dependable resource for both the expert and the student by providing in-depth, scholarly, insightful reviews of important topics within the discipline of analytical chemistry and related measurement sciences. The journal exclusively publishes review articles that illuminate the underlying science, that evaluate the field''s status by putting recent developments into proper perspective and context, and that speculate on possible future developments. A limited number of articles are of a "tutorial" format written by experts for scientists seeking introduction or clarification in a new area. This journal serves as a forum for linking various underlying components in broad and interdisciplinary means, while maintaining balance between applied and fundamental research. Topics we are interested in receiving reviews on are the following: · chemical analysis; · instrumentation; · chemometrics; · analytical biochemistry; · medicinal analysis; · forensics; · environmental sciences; · applied physics; · and material science.
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