Quality traits prediction of the passion fruit pulp using NIR and MIR spectroscopy

Near (NIR) and Mid (MIR) infrared spectroscopy were investigated as rapid methods for evaluating quality traits of fresh passion fruit pulp. Models to predict soluble solids content (SSC), titratable acidity (TA), glucose (GLC), fructose (FRU), sucrose (SUC) and vitamin C (ascorbic acid) were developed using linear partial least square (PLS) regression analysis. The PLS models in MIR provided better prediction results than in NIR. Prediction models in MIR were better for SSC (R2v = 0.95), TA (R2v = 0.86), glucose (R2v = 0.93), fructose (R2v = 0.84) and sucrose (R2v = 0,74). However, due to its low level in pulp, ascorbic acid was not satisfactorily predicted either by NIR or MIR.

Mots clés

Mid-infrared Chemometrics Quality parameters spectroscopy near-infrared infrared spectrum

infrarouge moyen spectroscopie proche infrarouge caractérisation biochimique spectre infrarouge comparaison de méthodes exploitation des données modèle de prédiction passiflora edulis brésil

Domaines

Sciences du Vivant [q-bio]

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https://hal.science/hal-01969243

Soumis le : jeudi 3 janvier 2019-20:06:09

Dernière modification le : mercredi 11 décembre 2024-09:46:02

Dates et versions

hal-01969243 , version 1 (03-01-2019)

Identifiants

HAL Id : hal-01969243 , version 1
DOI : 10.1016/j.lwt.2018.04.078
PRODINRA : 456622
WOS : 000436217000025

Citer

Gabrieli Oliveira-Folador, Milene de Oliveira Bicudo, Eriel Forville de Andrade, Catherine M.G.C. Renard, Sylvie Bureau, et al.. Quality traits prediction of the passion fruit pulp using NIR and MIR spectroscopy. LWT - Food Science and Technology, 2018, 95, pp.172-178. ⟨10.1016/j.lwt.2018.04.078⟩. ⟨hal-01969243⟩

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