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Application of near infra-red spectroscopy as an instantaneous and simultaneous prediction tool for anthocyanins and sugar in whole fresh raspberry

Citation

Gales, O and Rodemann, T and Jones, J and Swarts, N, Application of near infra-red spectroscopy as an instantaneous and simultaneous prediction tool for anthocyanins and sugar in whole fresh raspberry, Journal of the Science of Food and Agriculture, 101, (6) pp. 2449-2454. ISSN 0022-5142 (2021) [Refereed Article]

Copyright Statement

© 2020 Society of Chemical Industry

DOI: doi:10.1002/jsfa.10869

Abstract

Background: The determination of fresh whole raspberry quality is a laborious and expensive process for commercial producers and researchers. Quantitative results for raspberry quality parameters are currently determined using a range of chemical tests within a commercial laboratory. The present work is the first calibration and validation of near infra‐red spectroscopy (NIRS) for instantaneous and simultaneous of prediction of raspberry quality parameters. The importance and applicability of the findings of this research underscore its need and importance for both producers and researchers.

Results: Near infra‐red quantification models were developed to predict the level of soluble solid concentration (SSC) and anthocyanins present in whole fresh raspberries. Results highlighted a promising application for the prediction of anthocyanins (R2cv = 0.77) and SSC (R2cv = 0.77). The anthocyanin model had an root mean square error (RMSE) of 12.57 mg/L whilst SSC had 0.76 °Brix.

Conclusion: Both NIR models combined with new portable NIR devices provide unprecedented opportunity for the application of instantaneous and simultaneous quality parameter prediction for commercial raspberry producers and researchers. The numerous benefits NIR has brought to other horticultural industries are now closer for the raspberry industry with this proof of concept.

Item Details

Item Type:Refereed Article
Keywords:NIRS, anthocyanins, raspberry, color, fruit, spectroscopy, anti-oxidants, Rubus, infra-red
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Horticultural production
Research Field:Post harvest horticultural technologies (incl. transportation and storage)
Objective Division:Plant Production and Plant Primary Products
Objective Group:Horticultural crops
Objective Field:Berry fruit (excl. kiwifruit)
UTAS Author:Gales, O (Mr Oliver Gales)
UTAS Author:Rodemann, T (Dr Thomas Rodemann)
UTAS Author:Jones, J (Dr Joanna Jones)
UTAS Author:Swarts, N (Dr Nigel Swarts)
ID Code:142763
Year Published:2021 (online first 2020)
Web of Science® Times Cited:2
Deposited By:TIA - Research Institute
Deposited On:2021-02-11
Last Modified:2021-04-29
Downloads:0

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