Chemical descriptors and emerging green technologies combined with chemometrics for characterization and evaluation of Brazilian specialty coffees

• Grant number: 19/21062-0
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: March 01, 2021
• End date: February 29, 2024
• Field of knowledge: Agronomical Sciences - Food Science and Technology - Food Science
• Principal Investigator: Juliana Azevedo Lima Pallone
• Grantee: Michel Rocha Baqueta
• Host Institution: Faculdade de Engenharia de Alimentos (FEA). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated scholarship(s): 22/04068-8 - Innovative chemometrics-based analytical approaches for the multiplatform evaluation of Brazilian Canephora coffees with geographical indication, BE.EP.DR

Abstract

Coffee is one of the most consumed and appreciated beverages in the world, with Coffea arabica (arabica) and Coffea canephora (canephora) being the most economically important species. It is valuable to many countries, including Brazil, the largest producer and exporter. Due to consumer demands for specialty coffees, the demand for high-quality coffees has been gradually increasing. In this context, Arabica coffee has always been more valued, while Canephora coffee has historically been considered as a lower quality coffee and gained less admiration. However, this scenario has started to change recently and fine Canephora is on the rise in the world market of specialty coffees with promising perspectives. In Brazil, fine Canephora comes mainly from regions located in the states of Rondônia, for the Robusta Amazônico, and from Espírito Santo and Bahia for Conilon. However, research aiming the study and characterization of the Brazilian Canephora are scarce. Therefore, this project aims to characterize Brazilian Canephora coffees with unknown chemical compositions. In addition, this project proposes to investigate the potential of emerging green technologies of analysis, including Near-Infrared Spectroscopy (NIR), smartphone-based analysis, Laser-Induced Breakdown Spectroscopy (LIBS) and proton Nuclear Magnetic Resonance spectroscopy (1H NMR) integrated with chemometrics, as complementary techniques for rapid and accurate control of the quality and authenticity of Brazilian Canephora coffees. From the results obtained through this study, it is expected to provide relevant information about the characteristics of this Brazilian coffee, offering ways to enhance the value of this product in Brazil and worldwide. (AU)

Scientific publications

(5)

(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)

BAQUETA, MICHEL ROCHA; VALDERRAMA, PATRICIA; MANDRONE, MANUELA; POLI, FERRUCCIO; COQUEIRO, ALINE; COSTA-SANTOS, AUGUSTO CESAR; REBELLATO, ANA PAULA; LUZ, GISELE MARCONDES; ROCHA, RODRIGO BARROS; PALLONE, JULIANA AZEVEDO LIMA; et al. 1H NMR, FAAS, portable NIR, benchtop NIR, and ATR-FTIR-MIR spectroscopies for characterizing and discriminating new Brazilian Canephora coffees in a multi-block analysis perspective. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, v. 240, p. 11-pg., 2023-06-29. (19/21062-0, 22/03268-3, 22/04068-8)

BAQUETA, MICHEL ROCHA; MARINI, FEDERICO; ROCHA, RODRIGO BARROS; VALDERRAMA, PATRICIA; PALLONE, JULIANA AZEVEDO LIMA. Authentication and discrimination of new Brazilian Canephora coffees with geographical indication using a miniaturized near-infrared spectrometer. Food Research International, v. 172, p. 10-pg., 2023-07-06. (19/21062-0, 22/03268-3, 22/04068-8)

BAQUETA, MICHEL ROCHA; PIZANO, FERNANDA PEIXOTO; VILLANI, JULIANA DAMASCENO; HENAO TORO, SANDRA JULIETH; ARISSETO BRAGOTTO, ADRIANA PAVESI; VALDERRAMA, PATRICIA; LIMA PALLONE, JULIANA AZEVEDO. Kurtosis-based projection pursuit analysis to evaluate South American rapadura. Food Chemistry, v. 368, JAN 30 2022. (19/21062-0)

BAQUETA, MICHEL ROCHA; VALDERRAMA, PATRICIA; ALVES, ENRIQUE ANASTACIO; PALLONE, JULIANA AZEVEDO LIMA; MARINI, FEDERICO. Discrimination of Robusta Amazonico coffee farmed by indigenous and non-indigenous people in Amazon: comparing benchtop and portable NIR using ComDim and duplex. ANALYST, v. 148, n. 7, p. 10-pg., 2023-02-28. (19/21062-0, 22/03268-3, 22/04068-8)

BAQUETA, MICHEL ROCHA; ALVES, ENRIQUE ANASTACIO; VALDERRAMA, PATRICIA; PALLONE, JULIANA AZEVEDO LIMA. Brazilian Canephora coffee evaluation using NIR spectroscopy and discriminant chemometric techniques. Journal of Food Composition and Analysis, v. 116, p. 10-pg., 2023-03-01. (19/21062-0, 22/03268-3)