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Chemometrics coupled to analytical techniques with simple sample preparation for quality control of Carica papaya in the post-harvest period

Grant number: 19/10043-5
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): August 01, 2019
Effective date (End): February 28, 2022
Field of knowledge:Agronomical Sciences - Agronomy - Plant Health
Principal researcher:Marcia Miguel Castro Ferreira
Grantee:Larissa Rocha Terra
Home Institution: Embrapa Meio-Ambiente. Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA). Ministério da Agricultura, Pecuária e Abastecimento (Brasil). Jaguariúna , SP, Brazil

Abstract

Papaya (Carica papaya) is a fruit widely consumed worldwide due to its pleasant taste and high nutritional value. Brazil stands out as one of the largest papaya producers in the world, and exports have grown significantly in recent years. However, large losses of fruits are frequent due to the occurrence of phytosanitary problems, such as diseases caused by post-harvest fungi, causing a huge damage to those involved in the export. One of the main objectives of this project is the development of an innovative methodology for the early detection and classification of fungi present in papaya, since conventional methodologies are time consuming, labor intensive, require qualified personnel and can only be carried out from the demonstration of symptoms in fruits. The methodology developed would assist in making assertive decisions about the destination of the batches of the product in a timely manner, in order to avoid damages to producers, exporters and importers. Thus, Gas Chromatography techniques coupled to Mass Spectrometry (GC-MS) and Solid Phase Microextraction (SPME) combined with chemometrics using metabolic identification (metabolomic analysis) as a fast and non-destructive alternative will be explored. A second objective is to propose a methodology to correlate physico-chemical properties of papaya, such as total solids, titratable acidity, texture and pH, to spectroscopy data in near and medium infrared region and hyperspectral images using chemometric tools and methods. Subsequently the model will be used to predict the properties of papaya exposed to different treatments for the control of diseases caused by fungi, such as active antimicrobial coatings. (AU)

News published in Agência FAPESP Newsletter about the scholarship:

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
TERRA, LARISSA R.; QUEIROZ, SONIA C. N.; TERAO, DANIEL; FERREIRA, MARCIA M. C. Detection and discrimination of Carica papaya fungi through the analysis of volatile metabolites by gas chromatography and analysis of variance-principal component analysis. JOURNAL OF CHEMOMETRICS, v. 34, n. 12, SI APR 2020. Web of Science Citations: 1.
LARISSA ROCHA TERRA; MARCIA MIGUEL CASTRO FERREIRA; DANIEL TERAO; SONIA CLAUDIA DO NASCIMENTO DE QUEIROZ. OTIMIZAÇÃO DO PROCESSO NÃO INVASIVO E NÃO DESTRUTIVO DE EXTRAÇÃO E ANÁLISE DE METABÓLITOS VOLÁTEIS DE MAMÃO PAPAIA POR SPME-GC-MS. Química Nova, v. 43, n. 9, p. 1240-1245, Set. 2020.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.