OrangerV1, Main, Exploration, bibRecord, 001125

Evaluation of Fourier transform-NIR spectroscopy for integrated external and internal quality assessment of Valencia oranges

Identifieur interne : 001125 ( Main/Exploration ); précédent : 001124; suivant : 001126

Evaluation of Fourier transform-NIR spectroscopy for integrated external and internal quality assessment of Valencia oranges

Auteurs : LEMBE SAMUKELO MAGWAZA [Afrique du Sud] ; UMEZURUIKE LINUS OPARA [Afrique du Sud] ; Leon A. Terry [Royaume-Uni] ; Sandra Landahl [Royaume-Uni] ; Paul J. R. Cronje [Afrique du Sud] ; Hélène H. Nieuwoudt [Afrique du Sud] ; Arthur Hanssens [Belgique] ; Wouter Saeys [Belgique] ; Bart M. Nicolaï [Belgique]

Source :

Journal of food composition and analysis : (Print) [ 0889-1575 ] ; 2013.

RBID : Pascal:14-0002387

Descripteurs français

Pascal (Inist)
- Evaluation, Transformation Fourier, Spectrométrie IR proche, Interne, Qualité, Orange, Citrus sinensis, Agrume, Vitamine, Aliment, Analyse.
Wicri :
- topic : Agrume, Vitamine.

English descriptors

KwdEn :
- Analysis, Citrus fruit, Citrus sinensis, Evaluation, Food, Fourier transformation, Internal, Near infrared spectrometry, Orange, Quality, Vitamin.

Abstract

Diffuse reflectance near infrared (NIR) spectroscopy was explored as a non-destructive method to detect external and internal quality of Valencia oranges. The study compared three different Fourier transform NIR acquisition methods, namely, a fibre-optic probe for solid samples (SP), an integrating sphere (IS) and an emission head (EH). Fruit quality attributes measured included mass, colour index, total soluble solids (TSS), titratable acidity (TA), maturity index expressed as TSS:TA ratio and vitamin C. Partial least squares regression was applied to spectral data to develop prediction models for each quality attribute and by randomly dividing the data into calibration and independent validation sets. To test robustness, a set of fruit harvested from another location was used for external validation. Fruit mass, colour index, TSS and vitamin C were predicted with significant accuracy showing RPD-values of 3.53, 1.99, 1.87 and 1.33, respectively. The spectral acquisition method had a significant influence on the calibration regression statistics and accuracy of prediction. The models developed using the EH gave the best prediction statistics for mass (R = 0.96, RMSEP = 10.45 g), colour index (R = 0.83, RMSEP = 0.82) and vitamin C (R = 0.66, 8.01 mg/100 mL), while the IS gave the best prediction for TSS (R = 0.83, RMSEP = 0.58). The model parameters remained fairly constant when the models were validated using fruit from another location, indicating high level of model robustness. Good prediction statistics observed when using EH demonstrated the potential of this spectrometer as a non-destructive tool to holistically evaluate external and internal quality parameters.

Affiliations:

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Le document en format XML

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<term>Near infrared spectrometry</term>
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<front><div type="abstract" xml:lang="en">Diffuse reflectance near infrared (NIR) spectroscopy was explored as a non-destructive method to detect external and internal quality of Valencia oranges. The study compared three different Fourier transform NIR acquisition methods, namely, a fibre-optic probe for solid samples (SP), an integrating sphere (IS) and an emission head (EH). Fruit quality attributes measured included mass, colour index, total soluble solids (TSS), titratable acidity (TA), maturity index expressed as TSS:TA ratio and vitamin C. Partial least squares regression was applied to spectral data to develop prediction models for each quality attribute and by randomly dividing the data into calibration and independent validation sets. To test robustness, a set of fruit harvested from another location was used for external validation. Fruit mass, colour index, TSS and vitamin C were predicted with significant accuracy showing RPD-values of 3.53, 1.99, 1.87 and 1.33, respectively. The spectral acquisition method had a significant influence on the calibration regression statistics and accuracy of prediction. The models developed using the EH gave the best prediction statistics for mass (R = 0.96, RMSEP = 10.45 g), colour index (R = 0.83, RMSEP = 0.82) and vitamin C (R = 0.66, 8.01 mg/100 mL), while the IS gave the best prediction for TSS (R = 0.83, RMSEP = 0.58). The model parameters remained fairly constant when the models were validated using fruit from another location, indicating high level of model robustness. Good prediction statistics observed when using EH demonstrated the potential of this spectrometer as a non-destructive tool to holistically evaluate external and internal quality parameters.</div>
</front>
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Evaluation of Fourier transform-NIR spectroscopy for integrated external and internal quality assessment of Valencia oranges

Evaluation of Fourier transform-NIR spectroscopy for integrated external and internal quality assessment of Valencia oranges

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri