Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/349711
Type: Artigo
Title: Determination of pectin content in orange peels by near infrared hyperspectral imaging
Author: Badaró, Amanda Teixeira
Garcia-Martin, Juan Francisco
López-Barrera, María del Carmen
Barbin, Douglas Fernandes
Garcia-Martin, Juan Francisco
Abstract: Pectin has several purposes in the food and pharmaceutical industry making its quantification important for further extraction. Current techniques for pectin quantification require its extraction using chemicals and producing residues. Determination of pectin content in orange peels was investigated using near infrared hyperspectral imaging (NIR-HSI). Hyperspectral images from orange peel (140 samples) with different amounts of pectin were acquired in the range of 900–2500 nm, and the spectra was used for calibration models using multivariate statistical analyses. Principal component analysis (PCA) and linear discriminant analysis (LDA) showed better results considering three groups: low (0–5%), intermediate (10–40%) and high (50–100%) pectin content. Partial least squares regression (PLSR) models based on full spectra showed higher precision (R2 > 0.93) than those based on few selected wavelengths (R2 between 0.92 and 0.94). The results demonstrate the potential of NIR-HSI to quantify pectin content in orange peels, providing a valuable technique for orange producers and processing industries
Subject: Agricultura
Country: Países Baixos
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.1016/j.foodchem.2020.126861
Address: https://www.sciencedirect.com/science/article/pii/S0308814620307238
Date Issue: 2020
Appears in Collections:FEA - Artigos e Outros Documentos

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