近红外光谱:在保证食品质量安全中的应用

IF 2.7 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Yuxia Xu, Tianyu Kong, Yinfei Ma, Yan Zhao, Le Chu and Mingzhu Zheng
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引用次数: 0

摘要

近年来,食品工业对加工过程中食品质量智能控制的需求日益增加。近红外(NIR)光谱作为一种实用的分析工具,以其连续、快速在线测定和分析性能强等优点,已成为保障食品质量安全的常用检测方法。近20年来,人们对近红外光谱的应用进行了许多尝试和研究。基于此,本文重点介绍了近红外技术在食品领域的具体应用,突出了近红外技术的突破性和适用性。近红外光谱被广泛用于在线定量分析对人体有益的食物成分,包括蛋白质、多糖和多酚。此外,该技术还应用于食品微生物分析,食品安全检测(如食品掺假)和食品来源预测。本文综述了近红外光谱技术面临的挑战、未来的发展方向和机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Near-infrared spectroscopy: application in ensuring food quality and safety

In recent years, the demand for intelligent control of food quality during processing has been increasing in the food industry. As a practical analytical tool, near-infrared (NIR) spectroscopy has become a common detection method to ensure food quality and safety because of its advantages of continuous, rapid on-line determination and strong analytical performance. In the past 20 years, many attempts and research studies have been conducted on the applications of NIR spectroscopy. Based on this, this review focuses on the specific application of near-infrared technology in the field of food, highlighting its breakthrough and applicability. NIR spectroscopy is widely used for online quantitative analysis of beneficial food components to the human body, which include proteins, polysaccharides, and polyphenols. Additionally, this technology is applied to food microbiological analysis, food safety detection (such as food adulteration), and food origin prediction. This review discusses the existing challenges, future development directions, and opportunities for NIR spectroscopy technology.

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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
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