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The use of near infrared spectroscopy for quality evaluation of whole açaizeiro and palmiteiro-juçara fruits: modeling and chemometrics

Grant number: 11/19669-2
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): March 01, 2012
Effective date (End): February 28, 2015
Field of knowledge:Agronomical Sciences - Food Science and Technology
Principal Investigator:Gustavo Henrique de Almeida Teixeira
Grantee:Luis Carlos Cunha Junior
Home Institution: Faculdade de Ciências Farmacêuticas de Ribeirão Preto (FCFRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil
Associated scholarship(s):13/06089-3 - The use of near infrared spectroscopy for quality evaluation of whole açaizeiro and palmiteiro-juçara fruits: modeling and chemometrics, BE.EP.PD

Abstract

ABSTRACTThe near infrared spectroscopy (NIRS) jointly with chemometrics can be employed among other techniques to improve the processes of sorting, classification of acai and juçara fruits and, consequently, the quality of the end produce (pulp and/or beverage) of the industries which exploit these fruits. Among the various advantages of the NIRS technique stands out its rapidity, the non-destructive nature of analysis, low cost, absence of sample preparation and automation possibility of quality control processes in packing houses and food plants. The NIRS has being used in Brazil for a multitude of processes, mainly for chemical composition determination in food industry, pharmacy, oil companies, and so forth. However, in Brazil this technique has not being used to determine quality attributes in fresh produces. Despite the apparent simplicity of NIRS utilization and possible application as a non-destructive technique for sorting and classification of whole fruit, this technique can just be adequately implemented using mathematical models obtained from broad databases coming from industries and/or experimentation. In this way, chemometric analytical tools, both qualitative as quantitative, are necessary for the success of NIRS technique mainly due to the broad quantity of physical and/or chemical information contained in NIRS spectra. In this regard, this project aims to complement the Yong Research Project (FAPESP proc. 2008/51408-1) and the recently submited FAPESP-DCSR (proc. 2011/51624-9) in the development of a methodology using the NIRS for sorting and classification of whole açaí (Euterpe oleracea Mart.) and juçara (Euterpe edulis Mart.) fruit according to total anthocyanin content establishing mathematical models that can be used in the future to the industries which exploit these fruits.

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)
CUNHA JUNIOR, LUIS CARLOS; DE ALMEIDA TEIXEIRA, GUSTAVO HENRIQUE; NARDINI, VIVIANI; WALSH, KERRY BRIAN. Quality evaluation of intact acai and jucara fruit by means of near infrared spectroscopy. Postharvest Biology and Technology, v. 112, p. 64-74, FEB 2016. Web of Science Citations: 6.
DALL' ACQUA, YARA GURGEL; CUNHA JUNIOR, LUIS CARLOS; NARDINI, VIVIANI; LOPES, VALQUIRA GARCIA; DA CRUZ PESSOA, JOSE DALTON; DE ALMEIDA TEIXEIRA, GUSTAVO HENRIQUE. DISCRIMINATION OF EUTERPE OLERACEA MART. (ACAI) AND EUTERPE EDULIS MART. (JUCARA) INTACT FRUIT USING NEAR-INFRARED (NIR) SPECTROSCOPY AND LINEAR DISCRIMINANT ANALYSIS. JOURNAL OF FOOD PROCESSING AND PRESERVATION, v. 39, n. 6, p. 2856-2865, DEC 2015. Web of Science Citations: 1.
CUNHA JUNIOR, LUIS CARLOS; NARDINI, VIVIANI; KHATIWADA, BED P.; DE ALMEIDA TEIXEIRA, GUSTAVO HENRIQUE; WALSH, KERRY B. Classification of intact acai (Euterpe oleracea Mart.) and jucara (Euterpe edulis Mart) fruits based on dry matter content by means of near infrared spectroscopy. FOOD CONTROL, v. 50, p. 630-636, APR 2015. Web of Science Citations: 8.

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