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Data · dataset · 2022

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

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<p>The NIR and MIR datasets contain sample information, chemical reference data and the mean NIR/MIR spectra for each sample. </p> <p>The x-axis variables across the top of the NIR datasets are provided in nm; MIR data in cm-1.

Description

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. </p> <p><br></p> <p>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. </p> <p><br></p> <p>All measurements are expressed on an oven-dried weight basis. </p> <p><br></p> <p>Abbreviations used:</p> <p>HKW = hundred kernel weight</p> <p>CUPRAC = cupric reducing antioxidant capacity</p> <p>FRAP = ferric reducing antioxidant potential</p> <p>TP = total phenolic content</p> <p>TMA = total monomeric anthocyanin content</p> <p>Total_VC = sum of vicine and convicine contents</p>

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Provenance · 1 source records, 11 field assertions
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aCQUIReoai:figshare.com:article/202501177 h agoJSON v1
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access_levelsource · acquire cqu edu auconnector:acquire_cqu_edu_au@1.0.0
concepts[field].anzsrc:field:300404mapping · acquire cqu edu auvocabulary-mapper@1.0.0keywords['Crop and pasture biochemistry and physiology']
concepts[field].anzsrc:field:300602mapping · acquire cqu edu auvocabulary-mapper@1.0.0keywords['Food chemistry and food sensory science']
concepts[field].anzsrc:field:340101mapping · acquire cqu edu auvocabulary-mapper@1.0.0keywords['Analytical spectrometry']
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