Mid-Infrared Spectroscopy as a Rapid Tool to Qualitatively Predict the Effects of Species, Regions and Roasting on the Nutritional Composition of Australian Acacia Seed Species

In recent times, the popularity of adding value to under-utilized legumes have increased to enhance their use for human consumption. Acacia seed (AS) is an underutilized legume with over 40 edible species found in Australia. The study aimed to qualitatively characterize the chemical composition of 1...

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Main Authors: Oladipupo Q. Adiamo, Yasmina Sultanbawa, Daniel Cozzolino
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/26/7/1879
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author Oladipupo Q. Adiamo
Yasmina Sultanbawa
Daniel Cozzolino
author_facet Oladipupo Q. Adiamo
Yasmina Sultanbawa
Daniel Cozzolino
author_sort Oladipupo Q. Adiamo
collection DOAJ
description In recent times, the popularity of adding value to under-utilized legumes have increased to enhance their use for human consumption. Acacia seed (AS) is an underutilized legume with over 40 edible species found in Australia. The study aimed to qualitatively characterize the chemical composition of 14 common edible AS species from 27 regions in Australia using mid-infrared (MIR) spectroscopy as a rapid tool. Raw and roasted (180 °C, 5, 7, and 9 min) AS flour were analysed using MIR spectroscopy. The wavenumbers (1045 cm<sup>−1</sup>, 1641 cm<sup>−1</sup>, and 2852–2926 cm<sup>−1</sup>) in the MIR spectra show the main components in the AS samples. Principal component analysis (PCA) of the MIR data displayed the clustering of samples according to species and roasting treatment. However, regional differences within the same AS species have less of an effect on the components, as shown in the PCA plot. Statistical analysis of absorbance at specific wavenumbers showed that roasting significantly (<i>p</i> < 0.05) reduced the compositions of some of the AS species. The results provided a foundation for hypothesizing the compositional similarity and/or differences among AS species before and after roasting.
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spelling doaj.art-2ac36601b6a44618ba7a97e98fe1146f2023-11-21T12:08:34ZengMDPI AGMolecules1420-30492021-03-01267187910.3390/molecules26071879Mid-Infrared Spectroscopy as a Rapid Tool to Qualitatively Predict the Effects of Species, Regions and Roasting on the Nutritional Composition of Australian Acacia Seed SpeciesOladipupo Q. Adiamo0Yasmina Sultanbawa1Daniel Cozzolino2ARC Training Centre for Uniquely Australian Foods, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Block 10, Level 1, 39 Kessels Rd., Coopers Plains, QLD 4108, AustraliaARC Training Centre for Uniquely Australian Foods, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Block 10, Level 1, 39 Kessels Rd., Coopers Plains, QLD 4108, AustraliaARC Training Centre for Uniquely Australian Foods, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Block 10, Level 1, 39 Kessels Rd., Coopers Plains, QLD 4108, AustraliaIn recent times, the popularity of adding value to under-utilized legumes have increased to enhance their use for human consumption. Acacia seed (AS) is an underutilized legume with over 40 edible species found in Australia. The study aimed to qualitatively characterize the chemical composition of 14 common edible AS species from 27 regions in Australia using mid-infrared (MIR) spectroscopy as a rapid tool. Raw and roasted (180 °C, 5, 7, and 9 min) AS flour were analysed using MIR spectroscopy. The wavenumbers (1045 cm<sup>−1</sup>, 1641 cm<sup>−1</sup>, and 2852–2926 cm<sup>−1</sup>) in the MIR spectra show the main components in the AS samples. Principal component analysis (PCA) of the MIR data displayed the clustering of samples according to species and roasting treatment. However, regional differences within the same AS species have less of an effect on the components, as shown in the PCA plot. Statistical analysis of absorbance at specific wavenumbers showed that roasting significantly (<i>p</i> < 0.05) reduced the compositions of some of the AS species. The results provided a foundation for hypothesizing the compositional similarity and/or differences among AS species before and after roasting.https://www.mdpi.com/1420-3049/26/7/1879acacia seedspeciesregionsroastingMIR spectroscopychemical composition
spellingShingle Oladipupo Q. Adiamo
Yasmina Sultanbawa
Daniel Cozzolino
Mid-Infrared Spectroscopy as a Rapid Tool to Qualitatively Predict the Effects of Species, Regions and Roasting on the Nutritional Composition of Australian Acacia Seed Species
Molecules
acacia seed
species
regions
roasting
MIR spectroscopy
chemical composition
title Mid-Infrared Spectroscopy as a Rapid Tool to Qualitatively Predict the Effects of Species, Regions and Roasting on the Nutritional Composition of Australian Acacia Seed Species
title_full Mid-Infrared Spectroscopy as a Rapid Tool to Qualitatively Predict the Effects of Species, Regions and Roasting on the Nutritional Composition of Australian Acacia Seed Species
title_fullStr Mid-Infrared Spectroscopy as a Rapid Tool to Qualitatively Predict the Effects of Species, Regions and Roasting on the Nutritional Composition of Australian Acacia Seed Species
title_full_unstemmed Mid-Infrared Spectroscopy as a Rapid Tool to Qualitatively Predict the Effects of Species, Regions and Roasting on the Nutritional Composition of Australian Acacia Seed Species
title_short Mid-Infrared Spectroscopy as a Rapid Tool to Qualitatively Predict the Effects of Species, Regions and Roasting on the Nutritional Composition of Australian Acacia Seed Species
title_sort mid infrared spectroscopy as a rapid tool to qualitatively predict the effects of species regions and roasting on the nutritional composition of australian acacia seed species
topic acacia seed
species
regions
roasting
MIR spectroscopy
chemical composition
url https://www.mdpi.com/1420-3049/26/7/1879
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