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Unlocking the Secrets of Terminalia Kernels Using Near-Infrared Spectroscopy
Author(s) -
Eshetu Mulisa Bobasa,
M. Netzel,
Anh Dao Thi Phan,
Heather E. Smyth,
Yasmina Sultanbawa,
Daniel Cozzolino
Publication year - 2021
Publication title -
applied spectroscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.415
H-Index - 110
eISSN - 1943-3530
pISSN - 0003-7028
DOI - 10.1177/0003702821992136
Subject(s) - phytochemical , polyphenol , fourier transform infrared spectroscopy , principal component analysis , spectroscopy , near infrared spectroscopy , combretaceae , partial least squares regression , chemistry , absorbance , botany , biology , food science , horticulture , mathematics , chromatography , physics , biochemistry , statistics , quantum mechanics , neuroscience , antioxidant
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 ( Terminalia ferdinandiana, 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.

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