Data

Associated Data for Investigation of the phenolic and antioxidant content in Australian grains using traditional and non-invasive analytical techniques

Central Queensland University
Joel Johnson (Aggregated by) Kerry Walsh (Aggregated by) Mani Naiker (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25946/20250117.v1&rft.title=Associated Data for Investigation of the phenolic and antioxidant content in Australian grains using traditional and non-invasive analytical techniques&rft.identifier=https://doi.org/10.25946/20250117.v1&rft.publisher=Central Queensland University&rft.description=The NIR and MIR datasets contain sample information, chemical reference data and the mean NIR/MIR spectra for each sample.  The x-axis variables across the top of the NIR datasets are provided in nm; MIR data in cm-1. CUPRAC, FRAP, TP and TMA values are given as mg/100 g. Moisture and protein are in % w/w. Starch, amylose, amylopectin, vicine, convicine and total VC are in mg/g.  The phenolic_contents datasets show the results from HPLC analysis of individual phenolic compounds present in each sample. The content of individual phenolic acids are given in mg/kg.  All measurements are expressed on an oven-dried weight basis.  Abbreviations used: HKW = hundred kernel weight CUPRAC = cupric reducing antioxidant capacity FRAP = ferric reducing antioxidant potential TP = total phenolic content TMA = total monomeric anthocyanin content Total_VC = sum of vicine and convicine contents&rft.creator=Joel Johnson&rft.creator=Kerry Walsh&rft.creator=Mani Naiker&rft.date=2023&rft_rights=CC-BY-4.0&rft_subject=grain&rft_subject=chickpea&rft_subject=mungbean [Vigna radiata (L.) Wilczek]&rft_subject=faba bean (Vicia faba L.)&rft_subject=grain legume crop&rft_subject=Near infrared spectroscopy (NIRS)&rft_subject=Mid Infrared Spectroscopy&rft_subject=Wheat&rft_subject=phenolic acids&rft_subject=Fourier transform infrared (FTIR) spectroscopy&rft_subject=Analytical Spectrometry&rft_subject=Analytical Chemistry not elsewhere classified&rft_subject=Crop and Pasture Biochemistry and Physiology&rft_subject=Food Chemistry and Molecular Gastronomy (excl. Wine)&rft_subject=Crop and pasture biochemistry and physiology&rft_subject=Food chemistry and food sensory science&rft_subject=Analytical spectrometry&rft_subject=Analytical chemistry not elsewhere classified&rft.type=dataset&rft.language=English Access the data

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CC-BY-4.0

Full description

The NIR and MIR datasets contain sample information, chemical reference data and the mean NIR/MIR spectra for each sample. 

The x-axis variables across the top of the NIR datasets are provided in nm; MIR data in cm-1. CUPRAC, FRAP, TP and TMA values are given as mg/100 g. Moisture and protein are in % w/w. Starch, amylose, amylopectin, vicine, convicine and total VC are in mg/g. 


The phenolic_contents datasets show the results from HPLC analysis of individual phenolic compounds present in each sample. The content of individual phenolic acids are given in mg/kg. 


All measurements are expressed on an oven-dried weight basis. 


Abbreviations used:

HKW = hundred kernel weight

CUPRAC = cupric reducing antioxidant capacity

FRAP = ferric reducing antioxidant potential

TP = total phenolic content

TMA = total monomeric anthocyanin content

Total_VC = sum of vicine and convicine contents

Issued: 2022-11-08

Created: 2022-11-08

This dataset is part of a larger collection

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