Determination of pitaya quality using portable NIR spectroscopy and innovative low-cost electronic nose-Reference-Cited by-同舟云学术

Determination of pitaya quality using portable NIR spectroscopy and innovative low-cost electronic nose

Published:2023-02 Issue: Volume:310 Page:111784
ISSN:0304-4238
Container-title:Scientia Horticulturae
language:en
Short-container-title:Scientia Horticulturae

Author:

da Silva Ferreira Marcus Vinicius,de Moraes Ingrid Alves,Passos Rafael Valsani Leme,Barbin Douglas Fernandes^ORCID,Barbosa Jose Lucena

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Publisher

Elsevier BV

Subject

Horticulture

Reference59 articles.

1. Characterisation of ethylene pathway components in non-climacteric capsicum;Aizat;BMC Plant Biol.,2013

2. Organic dragon fruits (Hylocereus undatus and Hylocereus polyrhizus) grown at the same edaphoclimatic conditions: comparison of phenolic and organic acids profiles and antioxidant activities;Angonese;Lwt,2021

3. AOAC. (1980). AOAC official Method 932.12 Solids (Soluble) in Fruits and Friuit Products - Refractometer Method.

4. Official Methods of Analysis of AOAC International. In Association of Official Analysis Chemists International,2005

5. Nutritional Analysis of Red-Purple and White-Fleshed Pitaya (Hylocereus) Species;Attar;Molecules,2022

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