Identifying the Fraud and Authenticity of Meat Products by Infrared Spectroscopy: A Systematic Review

Nabi Shariatifar, Mohadeseh Pirhadi
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Abstract

Meat and meat products are very valuable and widely consumed, therefore, it is necessary to detect fraud in these products. The purpose of this review is to introduce and debate on quick and easy diagnostic methods for the identity of meat and meat products. For carrying out this review, scientific databases and search engines for finding the articles were "Google Scholar", "SID", "Scopus", "PubMed", "Science Direct", and "ISI". The search was done for articles published that included the search term containing, authentication, meat products, health, and risk assessment in their title. This study focused on published articles from 2016 to 2022. The studies indicated that classical analytical methods have replaced fast, simple, and non-invasive methods to increase productivity and profitability in the meat supply chain. Fourier transform infrared (FTIR) spectroscopy, near infrared (NIR) spectroscopy have become valuable analytical methods for structural or functional studies related to foods as a fast, non-destructive, cost-effective, and sensitive physicochemical fingerprinting method. The studies indicate that ATR-FTIR spectroscopy had better results statistically and functionally.
红外光谱识别肉类产品的欺诈和真实性:系统综述
肉类和肉制品是非常有价值和广泛消费的,因此有必要对这些产品中的欺诈行为进行检测。本综述的目的是介绍和讨论的快速和简单的诊断方法的肉和肉制品的身份。为进行本综述,检索文章的科学数据库和搜索引擎为“Google Scholar”、“SID”、“Scopus”、“PubMed”、“Science Direct”和“ISI”。我们对标题中包含“认证”、“肉制品”、“健康”和“风险评估”等关键词的文章进行了搜索。这项研究的重点是2016年至2022年发表的文章。研究表明,经典的分析方法已经取代了快速、简单和非侵入性的方法,以提高肉类供应链的生产率和盈利能力。傅里叶变换红外光谱(FTIR)、近红外光谱(NIR)作为一种快速、无损、经济、灵敏的理化指纹分析方法,已成为食品结构或功能研究的重要分析方法。研究表明,ATR-FTIR光谱在统计和功能上都有较好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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