Comparison of NIRS approach for prediction of internal quality traits in three fruit species

Author:

de Oliveira Gabrieli Alves,Bureau Sylvie,Renard Catherine Marie-Geneviève Claire,Pereira-Netto Adaucto Bellarmino,de Castilhos Fernanda

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference30 articles.

1. Rapid and non-destructive analysis of apricot fruit quality using FT-near-infrared spectroscopy;Bureau;Food Chemistry,2009

2. Non-destructive assessment of apricot fruit quality by portable visible-near infrared spectroscopy;Camps;LWT – Food Science and Technology,2009

3. Intact orange quality prediction with two portable NIR spectrometers;Cayuela;Postharvest Biology and Technology,2010

4. Chen, L. (2008). Non-destructive measurement of tomato quality using visible and near-infrared reflectance spectroscopy. Thesis of Master of Science. McGill University. M.Sc. (Génie des Bioressources).

5. Spatial-temporal analyses of lycopene and sugar contents in tomatoes during ripening using chemical shift imaging;Cheng;Postharvest Biology and Technology,2011

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