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近红外(NIR)光谱在预测食品功能特性方面的能力:挑战与机遇。

The Ability of Near Infrared (NIR) Spectroscopy to Predict Functional Properties in Foods: Challenges and Opportunities.

机构信息

Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia.

出版信息

Molecules. 2021 Nov 19;26(22):6981. doi: 10.3390/molecules26226981.

Abstract

Near infrared (NIR) spectroscopy is considered one of the main routine analytical methods used by the food industry. This technique is utilised to determine proximate chemical compositions (e.g., protein, dry matter, fat and fibre) of a wide range of food ingredients and products. Novel algorithms and new instrumentation are allowing the development of new applications of NIR spectroscopy in the field of food science and technology. Specifically, several studies have reported the use of NIR spectroscopy to evaluate or measure functional properties in both food ingredients and products in addition to their chemical composition. This mini-review highlights and discussed the applications, challenges and opportunities that NIR spectroscopy offers to target the quantification and measurement of food functionality in dairy and cereals.

摘要

近红外(NIR)光谱被认为是食品工业常用的主要常规分析方法之一。该技术用于确定各种食品成分和产品的近似化学成分(例如,蛋白质、干物质、脂肪和纤维)。新的算法和新的仪器仪表正在为近红外光谱在食品科学和技术领域的新应用的发展提供支持。具体而言,有几项研究报告称,除了化学成分外,近红外光谱还可用于评估或测量食品成分和产品的功能特性。本文综述强调并讨论了近红外光谱在乳制品和谷物中定量和测量食品功能性方面的应用、挑战和机遇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80c0/8623772/d3eb804c1980/molecules-26-06981-g001.jpg

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