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Agnoletti BZ, Pereira LL, Alves EA, Rocha RB, Debona DG, Lyrio MVV, Moreira TR, de Castro EVR, da S Oliveira EC, Filgueiras PR. The terroir of Brazilian Coffea canephora: Characterization of the chemical composition. Food Res Int 2024; 176:113814. [PMID: 38163718 DOI: 10.1016/j.foodres.2023.113814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 11/25/2023] [Accepted: 12/02/2023] [Indexed: 01/03/2024]
Abstract
FTIR spectroscopy and multivariate analysis were used in the chemical study of the terroirs of Coffea canephora. Conilon coffees from Espírito Santo and Amazon robusta from Matas of Rondônia, were separated by PCA, with lipids and caffeine being the markers responsible for the separation. Coffees from Bahia, Minas Gerais, and São Paulo did not exhibit separation, indicating that the botanical variety had a greater effect on the terroir than geographic origin. Thus, the genetic factor was investigated considering the conilon and robusta botanical varieties. This last group was composed of hybrid robusta and apoatã. The DD-SIMCA favored the identification of the genetic predominance of the samples. PLS-DA had a high classification performance regarding the conilon, hybrid robusta, and apoatã genetic nature. Lipids, caffeine, chlorogenic acids, quinic acid, trigonelline, proteins, amino acids, and carbohydrates were identified as chemical markers that discriminated the genetic groups.
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Affiliation(s)
- Bárbara Zani Agnoletti
- Federal University of Espírito Santo/ UFES, Department of Chemistry, Goiabeiras Campus, Av. Fernando Ferrari, 514, ZIP code: 29075-110 Vitória, Espírito Santo, Brazil.
| | - Lucas Louzada Pereira
- Federal Institute of Espírito Santo, Department of Food Science and Technology, Av. Elizabeth Minete Perim, S/N, Bairro São Rafael, ZIP code: 29375-000 Venda Nova do Imigrante, Espírito Santo, Brazil
| | - Enrique Anastácio Alves
- Brazilian Agricultural Research Corporation - EMBRAPA Rondônia, Porto Velho, Rondônia, Brazil
| | - Rodrigo Barros Rocha
- Brazilian Agricultural Research Corporation - EMBRAPA Rondônia, Porto Velho, Rondônia, Brazil
| | - Danieli Gracieri Debona
- Federal University of Espírito Santo/ UFES, Department of Chemistry, Goiabeiras Campus, Av. Fernando Ferrari, 514, ZIP code: 29075-110 Vitória, Espírito Santo, Brazil
| | - Marcos Valério Vieira Lyrio
- Federal University of Espírito Santo/ UFES, Department of Chemistry, Goiabeiras Campus, Av. Fernando Ferrari, 514, ZIP code: 29075-110 Vitória, Espírito Santo, Brazil
| | - Taís Rizzo Moreira
- Federal University of Espirito Santo/UFES, Department of Forest and Wood Sciences, Center of Agrarian Sciences and Engineering, Av. Governador Lindemberg, 316, CEP: 29550-000 Jerônimo Monteiro, Espirito Santo, Brazil
| | - Eustáquio Vinicius Ribeiro de Castro
- Federal University of Espírito Santo/ UFES, Department of Chemistry, Goiabeiras Campus, Av. Fernando Ferrari, 514, ZIP code: 29075-110 Vitória, Espírito Santo, Brazil
| | - Emanuele Catarina da S Oliveira
- Federal Institute of Espírito Santo, Department of Food Science and Technology, Av. Elizabeth Minete Perim, S/N, Bairro São Rafael, ZIP code: 29375-000 Venda Nova do Imigrante, Espírito Santo, Brazil
| | - Paulo Roberto Filgueiras
- Federal University of Espírito Santo/ UFES, Department of Chemistry, Goiabeiras Campus, Av. Fernando Ferrari, 514, ZIP code: 29075-110 Vitória, Espírito Santo, Brazil
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Baqueta MR, Valderrama P, Alves EA, Pallone JAL, Marini F. Discrimination of Robusta Amazônico coffee farmed by indigenous and non-indigenous people in Amazon: comparing benchtop and portable NIR using ComDim and duplex. Analyst 2023; 148:1524-1533. [PMID: 36866727 DOI: 10.1039/d3an00104k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
Robusta Amazônico is the name given to the Amazonian coffee that has been becoming popular and has recently been registered as a geographical indication in Brazil. It is produced by indigenous and non-indigenous coffee producers in regions that are geographically very close to one another. There is a need to authenticate whether coffee is truly produced by indigenous people and near-infrared (NIR) spectroscopy is an excellent technique for this. To meet the substantial trend towards NIR spectroscopy miniaturization, this work compared benchtop and portable NIR instruments to discriminate Robusta Amazônico samples using partial least squares discriminant analysis (PLS-DA). To ensure the results to be fairly comparable and, at the same time, to guarantee representative selection of both training and test set for the discriminant analysis, a sample selection strategy based on coupling ComDim multi-block analysis and the duplex algorithm was applied. Different pre-processing techniques were tested to create multiple matrices to be used in ComDim, as well as to build the discriminant models. The best PLS-DA model for benchtop NIR provided an accuracy of 96% for the test samples, while for the portable NIR the correct classification rate was 92%. It was demonstrated that portable NIR provides similar results to benchtop NIR for coffee origin classification by performing an unbiased sample selection strategy.
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Affiliation(s)
- Michel Rocha Baqueta
- Department of Food Science and Nutrition, School of Food Engineering, State University of Campinas - UNICAMP, Campinas, São Paulo, Brazil. .,Department of Chemistry, University of Rome "La Sapienza", Piazzale Aldo Moro 5, 00185 Rome, Italy.
| | - Patrícia Valderrama
- Universidade Tecnológica Federal do Paraná - UTFPR, Campo Mourão, Paraná, Brazil
| | - Enrique Anastácio Alves
- Empresa Brasileira de Pesquisa Agropecuária - EMBRAPA Rondônia, Porto Velho, Rondônia, Brazil
| | - Juliana Azevedo Lima Pallone
- Department of Food Science and Nutrition, School of Food Engineering, State University of Campinas - UNICAMP, Campinas, São Paulo, Brazil.
| | - Federico Marini
- Department of Chemistry, University of Rome "La Sapienza", Piazzale Aldo Moro 5, 00185 Rome, Italy.
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Viencz T, Acre LB, Rocha RB, Alves EA, Ramalho AR, de Toledo Benassi M. Caffeine, trigonelline, chlorogenic acids, melanoidins, and diterpenes contents of Coffea canephora coffees produced in the Amazon. J Food Compost Anal 2023. [DOI: 10.1016/j.jfca.2023.105140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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Baqueta MR, Alves EA, Valderrama P, Pallone JAL. Brazilian Canephora coffee evaluation using NIR spectroscopy and discriminant chemometric techniques. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2022.105065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Alves EA, Padilha L, Savi PA, Apparicio MF, Mostachio GQ, Motheo TF, Pires-Buttler EA, Vicente WRR, Luvoni GC. In vitro survival of follicles collected from domestic cats' ovaries at different stages of oestrous cycle and cultured with IGF-1. Reprod Domest Anim 2013; 47 Suppl 6:109-12. [PMID: 23279477 DOI: 10.1111/rda.12001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2012] [Accepted: 07/17/2012] [Indexed: 12/01/2022]
Abstract
Optimal conditions for in vitro culture of feline ovarian follicles have not yet been defined. Follicular development is regulated by intraovarian growth factors, as insulin-like growth factor (IGF-1), and during the different stages of the oestrous cycle, follicles are exposed to specific hormonal environments. The aim of this study was to investigate the effect of IGF-1 on in vitro growth and granulosa cell (GC) viability of preantral follicles collected from domestic cats at follicular and luteal phases of the oestrous cycle. Oestrus and ovulation were induced in 12 cats. A total of 39 and 32 follicles collected at the follicular and luteal phases, respectively, were individually cultured in vitro for 6 days in minimum essential medium media supplemented with or without IGF-1 (100 ng/ml). Follicles collected during the follicular phase and cultured without IGF-1 displayed a significant increase in size and higher GC viability (46.5 ± 22.1 μm, 66.7%, respectively) than that of follicles collected at the luteal phase and cultured without IGF-1 (26.7 ± 14.4 μm, 50%, respectively; p < 0.05). In contrast, when IGF-1 was added to the culture medium, no differences were observed in size or GC viability between follicles collected at the two phases of the cycle. Nonetheless, follicles collected at the luteal phase and cultured with IGF-1 had a significant increase in their diameter and GC viability (31.9 ± 15.9 μm, 63.6%, respectively) than that cultured without IGF-1 (26.7 ± 14.4 μm, 50%, respectively; p < 0.05). These data suggest that in vitro growth and GC survival of feline preantral follicles are affected by the oestrous cycle phase, and the IGF-1 exerts a positive effect on follicles collected at the luteal phase.
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Affiliation(s)
- E A Alves
- Departamento de Medicina Veterinária Preventiva e Reprodução Animal, FCAV, UNESP-Univ Estadual Paulista, Jaboticabal, SP, Brazil.
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