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利用近红外光谱技术揭开内核的秘密。

Unlocking the Secrets of Kernels Using Near-Infrared Spectroscopy.

机构信息

ARC Industrial Transformation Training Centre for Uniquely Australian Foods, Queensland Alliance for Agriculture and Food Innovation, 1974The University of Queensland, Queensland, Australia.

Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, 1974The University of Queensland, Queensland, Australia.

出版信息

Appl Spectrosc. 2021 Jul;75(7):834-838. doi: 10.1177/0003702821992136. Epub 2021 Feb 19.

DOI:10.1177/0003702821992136
PMID:33464155
Abstract

In recent years, the native food industry in Australia has increased in both value and volume due to the discovery of a wide range of phytochemicals (e.g., vitamin C, polyphenols) that have potential health benefits. Thus, plant organs and tissues of these native plants are used in a wide range of applications. In particular, the kernel of a native plum, the Kakadu plum (, Combretaceae) is considered to be rich in lipids and other phytochemical compounds. The aim of this study was to evaluate the use of NIR spectroscopy to analyze and characterize kernel samples and tissues of wild harvest fruit samples. The Fourier transform near-infrared reflectance spectra of cracked kernels, seeds cover tissues, and dry powder Kakadu plum kernels were acquired. Both principal component analysis and partial least squares discriminant analysis were used to analyze and interpret the spectral data. A correct classification rate of 93%, 86%, and 80% was achieved for the identification of kernel provenance using all tissues, seed coats, and the whole nuts, respectively. The results of this study reported for the first time the analysis of Kakadu plum kernels and their tissues using NIR spectroscopy.

摘要

近年来,由于发现了具有潜在健康益处的大量植物化学物质(例如维生素 C、多酚),澳大利亚的本土食品产业在价值和规模上都有所增加。因此,这些本土植物的器官和组织被广泛应用于各种领域。特别是,一种本土李属植物——卡卡杜李(, Combretaceae)的果仁被认为富含脂质和其他植物化学物质。本研究旨在评估近红外光谱技术用于分析和表征野生收获果实样本的果仁样品和组织的用途。采集了开裂果仁、种皮组织和卡卡杜李干粉末的傅里叶变换近红外漫反射光谱。主成分分析和偏最小二乘判别分析都被用于分析和解释光谱数据。分别使用所有组织、种皮和整个坚果对果仁产地进行识别,其正确分类率达到了 93%、86%和 80%。本研究首次报道了使用近红外光谱技术对卡卡杜李果仁及其组织进行的分析。

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