Determination of quality attributes in wax jambu fruit using NIRS and PLS-Reference-Cited by-同舟云学术

Determination of quality attributes in wax jambu fruit using NIRS and PLS

Published:2016-01 Issue: Volume:190 Page:1-4
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Viegas Thayna R.,Mata Ana L.M.L.,Duarte Márcia M.L.,Lima Kássio M.G.

Funder

CNPq/Capes project

FAPERN

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference26 articles.

1. Vis/NIR soluble solids prediction in intact oranges (Citrus sinensis L.) cv. Valencia Late by reflectance;Cayuela;Postharvest Biology and Technology,2008

2. Theory and application of near infrared reflectance spectroscopy in determination of food quality;Cen;Trends in Food Science & Technology,2007

3. Prediction of storage disorders of kiwifruit (Actinidia chinensis) based on visible-NIR spectral characteristics at harvest;Clark;Postharvest Biology and Technology,2004

4. Prediction of parameters (soluble solid and pH) in intact plum using NIR spectroscopy and wavelength selection;Costa;Journal of Brazilian Chemical Society,2013

5. Morphological aspects and influence of the seed size in the germination of wax jambu;Costa;Revista Brasileira de Fruticultura Jaboticabal,2006

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