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中红外光谱法测定牛奶掺假物和污染物的最新进展

Recent Advances in the Determination of Milk Adulterants and Contaminants by Mid-Infrared Spectroscopy.

作者信息

Ceniti Carlotta, Spina Anna Antonella, Piras Cristian, Oppedisano Francesca, Tilocca Bruno, Roncada Paola, Britti Domenico, Morittu Valeria Maria

机构信息

Department of Health Sciences, University of Catanzaro Magna Græcia, 88100 Catanzaro, Italy.

Interdepartmental Center Veterinary Service for Human and Animal Health, University of Catanzaro Magna Græcia, CISVetSUA, 88100 Catanzaro, Italy.

出版信息

Foods. 2023 Jul 31;12(15):2917. doi: 10.3390/foods12152917.

DOI:10.3390/foods12152917
PMID:37569186
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10418805/
Abstract

The presence of chemical contaminants, toxins, or veterinary drugs in milk, as well as the adulteration of milk from different species, has driven the development of new tools to ensure safety and quality. Several analytical procedures have been proposed for the rapid screening of hazardous substances or the selective confirmation of the authenticity of milk. Mid-infrared spectroscopy and Fourier-transform infrared have been two of the most relevant technologies conventionally employed in the dairy industry. These fingerprint methodologies can be very powerful in determining the trait of raw material without knowing the identity of each constituent, and several aspects suggest their potential as a screening method to detect adulteration. This paper reviews the latest advances in applying mid-infrared spectroscopy for the detection and quantification of adulterants, milk dilution, the presence of pathogenic bacteria, veterinary drugs, and hazardous substances in milk.

摘要

牛奶中化学污染物、毒素或兽药的存在,以及不同物种牛奶的掺假,推动了确保安全和质量的新工具的开发。已经提出了几种分析程序,用于快速筛查有害物质或选择性确认牛奶的真实性。中红外光谱法和傅里叶变换红外光谱法一直是乳制品行业传统使用的两种最相关技术。这些指纹识别方法在不知道每种成分身份的情况下确定原材料特性方面非常强大,并且有几个方面表明它们作为检测掺假的筛查方法具有潜力。本文综述了应用中红外光谱法检测和定量牛奶中掺假物、牛奶稀释、病原菌、兽药和有害物质的最新进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c011/10418805/f270c2292aed/foods-12-02917-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c011/10418805/1e1d261f4b7c/foods-12-02917-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c011/10418805/f270c2292aed/foods-12-02917-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c011/10418805/1e1d261f4b7c/foods-12-02917-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c011/10418805/f270c2292aed/foods-12-02917-g002.jpg

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Heliyon. 2023 Jan 10;9(1):e12898. doi: 10.1016/j.heliyon.2023.e12898. eCollection 2023 Jan.
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Predictions of Milk Fatty Acid Contents by Mid-Infrared Spectroscopy in Chinese Holstein Cows.
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