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Predicting glycogen concentration in the foot muscle of abalone using near infrared reflectance spectroscopy (NIRS)

Citation

Fluckiger, M and Brown, MR and Ward, LR and Moltschaniwskyj, NA, Predicting glycogen concentration in the foot muscle of abalone using near infrared reflectance spectroscopy (NIRS), Food Chemistry, 126, (4) pp. 1817-1820. ISSN 0308-8146 (2011) [Refereed Article]


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DOI: doi:10.1016/j.foodchem.2010.12.078

Abstract

Near infrared reflectance spectroscopy (NIRS) was used to predict glycogen concentrations in the foot muscle of cultured abalone. NIR spectra of live, shucked and freeze-dried abalone were modelled against chemically measured glycogen data (range: 0.77 to 40.9% of dry weight (DW)) using partial least squares (PLS) regression. The calibration models were then used to predict glycogen concentrations of test abalone samples, and model robustness was assessed from coefficient of determination of the validation (R) and residual predictive deviation (RPD) values. The model for freeze-dried abalone gave the best prediction (R0.97, RPD = 5.43), making it suitable for quantifying glycogen. Models for live and shucked abalone had Rof 0.86 and 0.88, and RPD of 2.69 and 2.73 respectively, making them suitable for categorising abalone into groups of high, medium and low glycogen. As glycogen is a taste-active component associated with palatability in abalone, this study demonstrated the potential of NIRS as a rapid method to monitor factors associated with abalone quality.

Item Details

Item Type:Refereed Article
Research Division:Agricultural and Veterinary Sciences
Research Group:Fisheries Sciences
Research Field:Post-Harvest Fisheries Technologies (incl. Transportation)
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - Aquaculture
Objective Field:Aquaculture Molluscs (excl. Oysters)
Author:Fluckiger, M (Ms Miriam Fluckiger)
Author:Ward, LR (Dr Louise Adams)
Author:Moltschaniwskyj, NA (Associate Professor Natalie Moltschaniwskyj)
ID Code:70544
Year Published:2011
Web of Science® Times Cited:16
Deposited By:NC Marine Conservation and Resource Sustainability
Deposited On:2011-06-28
Last Modified:2017-11-03
Downloads:0

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