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Perini da Silva MM, Tarone AG, Giomo GS, Ferrarezzo EM, Guerreiro Filho O, Teramoto JRS. Predicting best planting location and coffee cup quality from chemical parameters: An evaluation of raw Arabica coffee beans from São Paulo over two harvests. Food Res Int 2024; 195:114911. [PMID: 39277217 DOI: 10.1016/j.foodres.2024.114911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 07/12/2024] [Accepted: 08/10/2024] [Indexed: 09/17/2024]
Abstract
Arabica coffee is one of the most consumed beverages in the world. The chemical components present in raw Arabica coffee beans (RACB) are directly related to the cup quality of the beverage. Environmental and genetic factors influence the content and profile of these components. Then, this work aimed to evaluate different chemical parameters of RACB from 3 varieties planted in 3 different experimental farms located within the "Alta Mogiana" terroir harvested in 2021 and 2022 to identify a better variety for each farm to produce a high cup quality Arabica coffee. The harvest period had a strong influence on most of the studied parameters because atypical weather conditions occurred in the 2021 harvest. The RACB harvested in 2022 yielded better results and supposedly will produce a beverage of high cup quality. Samples harvested in this period presented mainly average moisture levels closer to optimum (11.02 against 8.56 % in 2021); low total titratable acidity (98.00 against 169.75 mL 0.1 M NaOH/100 g in 2021); high amounts of free amino acids (0.96 against 0.93 g GAE/100 g in 2021), low amounts of CGA (4.27 against 4.85 g/100 g in 2021) and caffeine (1.08 against 1.76 g/100 g in 2021) and high amounts of trigonelline (1.12 against 0.96 g/100 g in 2021). The Rome Sudan variety had the best combination of chemical results, mainly when cultivated in Farm 2 in 2022, presenting high amounts of protein content (15.24 %) and free amino acids (0.96 g GAE/100 g), low total titratable acidity (98.3 mL 0.1 M NaOH/100 g), low amounts of CGA (4.55 g/100 g) and caffeine (1.29 g/100 g) and high amounts of trigonelline (1.11 g/100 g). The analysis of chemical compounds could predict the best farm to cultivate each variety studied and was a guide to foresee a higher cup quality of RACB beverages.
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Affiliation(s)
- Milena Melim Perini da Silva
- Plant Phytochemistry Section, Plant Genetic Resource Research Center, Agronomic Institute - IAC, 13075-630 Campinas, SP, Brazil
| | - Adriana Gadioli Tarone
- Plant Phytochemistry Section, Plant Genetic Resource Research Center, Agronomic Institute - IAC, 13075-630 Campinas, SP, Brazil
| | - Gerson Silva Giomo
- Coffee Center, Agronomic Institute - IAC, 13075-630 Campinas, SP, Brazil
| | | | | | - Juliana Rolim Salomé Teramoto
- Plant Phytochemistry Section, Plant Genetic Resource Research Center, Agronomic Institute - IAC, 13075-630 Campinas, SP, Brazil.
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Costa GXR, Silva LCF, de Oliveira LM, Santos LD. Microbiota of arabica coffee: insights from soil to fruit. World J Microbiol Biotechnol 2024; 40:308. [PMID: 39172263 DOI: 10.1007/s11274-024-04110-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2024] [Accepted: 08/11/2024] [Indexed: 08/23/2024]
Abstract
Studies have shown that a diverse and metabolically active microbiota exists throughout different stages of coffee processing, from pre- to post-harvest. This microbiota originates from both the cultivation and processing environments. Additionally, microorganisms from the soil can be found on the fruit due to the transfer between them. This study reviews the microbiota present in Arabica coffee fruits and the soils where the plants are grown. It examines how microbial profiles are related to coffee variety, altitude, cultivation region, and processing method, and establishes a connection between the microbiota in soil and fruit. A diverse microbiota was observed in both coffee fruits and soils, with similar microorganisms identified across different growing regions, processing methods, and coffee varieties. However, exclusive detections of some microorganisms were also observed. These differences highlight the influence of terroir on coffee's microbial composition, confirming that environmental conditions, genetic factors, and processing methods shape coffee microbiota. Since microbial development during coffee fermentation can affect the beverage's quality, the data presented in this review offer valuable insights for researchers and producers. Understanding the influence of processing methods, coffee varieties, and cultivation regions on coffee microbiota enables the selection of specific fermentation conditions or starter cultures to enhance terroir characteristics or adjust microbial populations to favor or introduce microorganisms beneficial for coffee quality.
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Affiliation(s)
- Gisele Xavier Ribeiro Costa
- Faculty of Chemical Engineering, Federal University of Uberlândia (UFU), Patos de Minas - Minas Gerais, Uberlândia, Brazil
| | - Lívia Carneiro Fidélis Silva
- Institute of Biotechnology, Federal University of Uberlândia (UFU), Patos de Minas - Minas Gerais, Uberlândia, Brazil
| | - Liliane Maciel de Oliveira
- Department of Food Engineering, Federal University of São João del-Rei - UFSJ, Sete Lagoas - Minas Gerais, 47, MG 424 road, Sete Lagoas, Uberlândia, 35701-970, mailbox 56, MG, Brazil.
| | - Líbia Diniz Santos
- Faculty of Chemical Engineering, Federal University of Uberlândia (UFU), Patos de Minas - Minas Gerais, Uberlândia, Brazil
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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] [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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Claro Gomes WP, Gonçalves Bortoleto G, Melchert WR. Spectrophotometry and chromatography analyses combined with chemometrics tools to differentiate green coffee beans into special or traditional. J Food Sci 2023; 88:5012-5025. [PMID: 37889097 DOI: 10.1111/1750-3841.16807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 09/28/2023] [Accepted: 10/04/2023] [Indexed: 10/28/2023]
Abstract
Green coffee is the hulled coffee bean, rich in chemical compounds indicative of quality before roasting, making the classification special or traditional. This work aimed to determine compounds in green coffee beans and find the differentiation of green coffee beans into special or traditional ones through chemometrics. For that, the levels of phenolic compounds, reducing, nonreducing, and total sugars were quantified by spectrophotometry: caffeine, trigonelline, 5-hydroxymethylfurfural (5-HMF), 3-hydroxybenzoic, 4-hydroxybenzoic, chlorogenic, caffeic, and nicotinic acids (NAs) by high-performance liquid chromatography-UV-Vis; acetaldehyde, acetone, methanol, ethanol, and isoamyl by HS-GC-FID. Principal component analysis (PCA) was used to differentiate green coffee beans through the levels obtained in spectrophotometric and chromatographic analyses. Statistically, the contents of total phenolic compounds, caffeine, nonreducing sugars, total sugars, NA, 5-HMF, acetaldehyde, ethanol, and ethanol/methanol showed significant differences. The PCA made it possible to classify green coffee beans into special and traditional, in addition to understanding the attributes that influenced the differentiation between coffees. In addition, it was possible to classify green coffee beans into special and traditional, either using all parameters evaluated or only using spectrophotometric analyses. In this way, some advantages allow classification without using a trained and experienced evaluator as their previous experience can influence the results due to their expertise in a certain type of coffee, in addition to being faster and cheaper, especially regarding spectrophotometric analyses.
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Affiliation(s)
| | - Gisele Gonçalves Bortoleto
- State Center of Technological Education "Paula Souza", Technology College of Piracicaba "Dep. Roque Trevisan", Piracicaba, São Paulo, Brazil
| | - Wanessa R Melchert
- College of Agriculture "Luiz de Queiroz", University of São Paulo, Piracicaba, São Paulo, Brazil
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Yulia M, Analianasari A, Widodo S, Kusumiyati K, Naito H, Suhandy D. The Authentication of Gayo Arabica Green Coffee Beans with Different Cherry Processing Methods Using Portable LED-Based Fluorescence Spectroscopy and Chemometrics Analysis. Foods 2023; 12:4302. [PMID: 38231760 DOI: 10.3390/foods12234302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 11/24/2023] [Accepted: 11/24/2023] [Indexed: 01/19/2024] Open
Abstract
Aceh is an important region for the production of high-quality Gayo arabica coffee in Indonesia. In this area, several coffee cherry processing methods are well implemented including the honey process (HP), wine process (WP), and natural process (NP). The most significant difference between the three coffee cherry processing methods is the fermentation process: HP is a process of pulped coffee bean fermentation, WP is coffee cherry fermentation, and NP is no fermentation. It is well known that the WP green coffee beans are better in quality and are sold at higher prices compared with the HP and NP green coffee beans. In this present study, we evaluated the utilization of fluorescence information to discriminate Gayo arabica green coffee beans from different cherry processing methods using portable fluorescence spectroscopy and chemometrics analysis. A total of 300 samples were used (n = 100 for HP, WP, and NP, respectively). Each sample consisted of three selected non-defective green coffee beans. Fluorescence spectral data from 348.5 nm to 866.5 nm were obtained by exciting the intact green coffee beans using a portable spectrometer equipped with four 365 nm LED lamps. The result showed that the fermented green coffee beans (HP and WP) were closely mapped and mostly clustered on the left side of PC1, with negative scores. The non-fermented (NP) green coffee beans were clustered mostly on the right of PC1 with positive scores. The results of the classification using partial least squares-discriminant analysis (PLS-DA), linear discriminant analysis (LDA), and principal component analysis-linear discriminant analysis (PCA-LDA) are acceptable, with an accuracy of more than 80% reported. The highest accuracy of prediction of 96.67% was obtained by using the PCA-LDA model. Our recent results show the potential application of portable fluorescence spectroscopy using LED lamps to classify and authenticate the Gayo arabica green coffee beans according to their different cherry processing methods. This innovative method is more affordable and could be easy to implement (in terms of both affordability and practicability) in the coffee industry in Indonesia.
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Affiliation(s)
- Meinilwita Yulia
- Department of Agricultural Technology, Lampung State Polytechnic, Jl. Soekarno Hatta No. 10, Rajabasa, Bandar Lampung 35141, Indonesia
- Spectroscopy Research Group (SRG), Laboratory of Bioprocess and Postharvest Engineering, Department of Agricultural Engineering, The University of Lampung, Bandar Lampung 35145, Indonesia
| | - Analianasari Analianasari
- Department of Agricultural Technology, Lampung State Polytechnic, Jl. Soekarno Hatta No. 10, Rajabasa, Bandar Lampung 35141, Indonesia
| | - Slamet Widodo
- Department of Mechanical and Biosystem Engineering, Faculty of Agricultural Engineering and Technology, IPB University, Dramaga, Bogor 16680, Indonesia
| | - Kusumiyati Kusumiyati
- Department of Agronomy, Faculty of Agriculture, Universitas Padjadjaran, Sumedang 45363, Indonesia
| | - Hirotaka Naito
- Department of Environmental Science and Technology, Graduate School of Bioresources, Mie University, 1577 Kurima-machiya-cho, Tsu-city 514-8507, Mie, Japan
| | - Diding Suhandy
- Spectroscopy Research Group (SRG), Laboratory of Bioprocess and Postharvest Engineering, Department of Agricultural Engineering, The University of Lampung, Bandar Lampung 35145, Indonesia
- Department of Agricultural Engineering, Faculty of Agriculture, The University of Lampung, Jl. Soemantri Brojonegoro No. 1, Bandar Lampung 35145, Indonesia
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Mannino G, Kunz R, Maffei ME. Discrimination of Green Coffee ( Coffea arabica and Coffea canephora) of Different Geographical Origin Based on Antioxidant Activity, High-Throughput Metabolomics, and DNA RFLP Fingerprinting. Antioxidants (Basel) 2023; 12:antiox12051135. [PMID: 37238001 DOI: 10.3390/antiox12051135] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 05/16/2023] [Accepted: 05/19/2023] [Indexed: 05/28/2023] Open
Abstract
The genus Coffea is known for the two species C. arabica (CA) and C. canephora (CC), which are used to prepare the beverage coffee. Proper identification of green beans of coffee varieties is based on phenotypic and phytochemical/molecular characteristics. In this work, a combination of chemical (UV/Vis, HPLC-DAD-MS/MS, GC-MS, and GC-FID) and molecular (PCR-RFLP) fingerprinting was used to discriminate commercial green coffee accessions from different geographical origin. The highest content of polyphenols and flavonoids was always found in CC accessions, whereas CA showed lower values. ABTS and FRAP assays showed a significant correlation between phenolic content and antioxidant activity in most CC accessions. We identified 32 different compounds, including 28 flavonoids and four N-containing compounds. The highest contents of caffeine and melatonin were detected in CC accessions, whereas the highest levels of quercetin and kaempferol derivatives were found in CA accessions. Fatty acids of CC accessions were characterized by low levels of linoleic and cis octadecenoic acid and high amounts of elaidic acid and myristic acid. Discrimination of species according to their geographical origin was achieved using high-throughput data analysis, combining all measured parameters. Lastly, PCR-RFLP analysis was instrumental for the identification of recognition markers for the majority of accessions. Using the restriction enzyme AluI on the trnL-trnF region, we clearly discriminated C. canephora from C. arabica, whereas the cleavage performed by the restriction enzymes MseI and XholI on the 5S-rRNA-NTS region produced specific discrimination patterns useful for the correct identification of the different coffee accessions. This work extends our previous studies and provides new information on the complete flavonoid profile, combining high-throughput data with DNA fingerprinting to assess the geographical discrimination of green coffee.
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Affiliation(s)
- Giuseppe Mannino
- Department of Life Sciences and Systems Biology, University of Turin, Via Quarello 15/A, 10135 Turin, Italy
| | - Ronja Kunz
- Department of Chemistry, University of Cologne, Zülpicher Straße 47, D-50939 Köln, Germany
| | - Massimo E Maffei
- Department of Life Sciences and Systems Biology, University of Turin, Via Quarello 15/A, 10135 Turin, Italy
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da Costa DS, Albuquerque TG, Costa HS, Bragotto APA. Thermal Contaminants in Coffee Induced by Roasting: A Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:5586. [PMID: 37107868 PMCID: PMC10138461 DOI: 10.3390/ijerph20085586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/29/2023] [Accepted: 04/14/2023] [Indexed: 05/10/2023]
Abstract
Roasting is responsible for imparting the main characteristics to coffee, but the high temperatures used in the process can lead to the formation of several potentially toxic substances. Among them, polycyclic aromatic hydrocarbons, acrylamide, furan and its derivative compounds, α-dicarbonyls and advanced glycation end products, 4-methylimidazole, and chloropropanols stand out. The objective of this review is to present a current and comprehensive overview of the chemical contaminants formed during coffee roasting, including a discussion of mitigation strategies reported in the literature to decrease the concentration of these toxicants. Although the formation of the contaminants occurs during the roasting step, knowledge of the coffee production chain as a whole is important to understand the main variables that will impact their concentrations in the different coffee products. The precursors and routes of formation are generally different for each contaminant, and the formed concentrations can be quite high for some substances. In addition, the study highlights several mitigation strategies related to decreasing the concentration of precursors, modifying process conditions and eliminating/degrading the formed contaminant. Many of these strategies show promising results, but there are still challenges to be overcome, since little information is available about advantages and disadvantages in relation to aspects such as costs, potential for application on an industrial scale and impacts on sensory properties.
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Affiliation(s)
- David Silva da Costa
- Faculdade de Engenharia de Alimentos, Universidade Estadual de Campinas, Cidade Universitária, R. Monteiro Lobato 80, Campinas 13083-862, Brazil
| | - Tânia Gonçalves Albuquerque
- Departamento de Alimentação e Nutrição, Instituto Nacional de Saúde Doutor Ricardo Jorge, I.P. Av. Padre Cruz, 1649-016 Lisboa, Portugal
- REQUIMTE-LAQV, Faculdade de Farmácia da Universidade do Porto, R. Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal
| | - Helena Soares Costa
- Departamento de Alimentação e Nutrição, Instituto Nacional de Saúde Doutor Ricardo Jorge, I.P. Av. Padre Cruz, 1649-016 Lisboa, Portugal
- REQUIMTE-LAQV, Faculdade de Farmácia da Universidade do Porto, R. Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal
| | - Adriana Pavesi Arisseto Bragotto
- Faculdade de Engenharia de Alimentos, Universidade Estadual de Campinas, Cidade Universitária, R. Monteiro Lobato 80, Campinas 13083-862, Brazil
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Liao S, Fan Z, Huang X, Ma Y, Huang F, Guo Y, Chen T, Wang P, Chen Z, Yang M, Yang T, Xie J, Si J, Liu J. Variations in the morphological and chemical composition of the rhizomes of Polygonatum species based on a common garden experiment. Food Chem X 2023; 17:100585. [PMID: 36824147 PMCID: PMC9941356 DOI: 10.1016/j.fochx.2023.100585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 01/28/2023] Open
Abstract
Polygonatum species have great potential in fighting chronic and hidden hunger. In this study, five Polygonatum species collected from different populations were cultivated in a common garden for 4 years. The species mainly differed in yield, saponin and polysaccharide contents, stem diameter, leaf width, inflorescence length, and floret inflorescence length. P. cyrtonema (PC) provides high-quality yield when planted in Zhejiang, with output as high as 7.5 tons per hectare and a promising breeding potential. Moreover, stem diameter can be used as an indicator of the harvest in the screening of varieties. In addition, the formation of plant genetic traits from different provenances is affected by the climatic factors of the origin. Furthermore, near-infrared spectroscopy combined with chemometrics for polysaccharide and saponin quantitation provides a rapid assessment of PC quality. Our findings provide a scientific basis for the development and sustainable utilization of PC as a high-yielding and high-quality forest crop.
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Affiliation(s)
- Shuhui Liao
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, Zhejiang 311300, China
| | - Zhiwei Fan
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, Zhejiang 311300, China
- Guizhou Botanical Garden, Guiyang, Guizhou 550004, China
| | - Xiujing Huang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, Zhejiang 311300, China
| | - Yuru Ma
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, Zhejiang 311300, China
| | - Fangyan Huang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, Zhejiang 311300, China
| | - Yuntao Guo
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, Zhejiang 311300, China
| | - Tianqi Chen
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, Zhejiang 311300, China
| | - Pan Wang
- Pan'an Traditional Chinese Medicine Industry Innovation and Development Institute, Zhejiang 322300, China
| | - Zilin Chen
- Pan'an Traditional Chinese Medicine Industry Innovation and Development Institute, Zhejiang 322300, China
| | - Meisen Yang
- Xiushan Traditional Chinese Medicine Industry Center, Chongqing 409900, China
| | - Tongguang Yang
- Xiushan Traditional Chinese Medicine Industry Center, Chongqing 409900, China
- Xiushan Jiawo Agricultural Development Co., Ltd, Chongqing 409902, China
| | - Jianqiu Xie
- Lishui Institute of Agriculture and Forestry Sciences, Lishui, Zhejiang 323000, China
| | - Jinping Si
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, Zhejiang 311300, China
| | - Jingjing Liu
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, Zhejiang 311300, China
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Mutz YS, do Rosario D, Galvan D, Schwan RF, Bernardes PC, Conte-Junior CA. Feasibility of NIR spectroscopy coupled with chemometrics for classification of Brazilian specialty coffee. Food Control 2023. [DOI: 10.1016/j.foodcont.2023.109696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
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10
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Serna-Jiménez J, Torres-Valenzuela L, Sanín Villarreal A, Roldan C, Martín M, Siles J, Chica A. Advanced extraction of caffeine and polyphenols from coffee pulp: Comparison of conventional and ultrasound-assisted methods. Lebensm Wiss Technol 2023. [DOI: 10.1016/j.lwt.2023.114571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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11
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Klikarová J, Česlová L. Targeted and Non-Targeted HPLC Analysis of Coffee-Based Products as Effective Tools for Evaluating the Coffee Authenticity. Molecules 2022; 27:7419. [PMID: 36364245 PMCID: PMC9655399 DOI: 10.3390/molecules27217419] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/24/2022] [Accepted: 10/25/2022] [Indexed: 08/15/2023] Open
Abstract
Coffee is a very popular beverage worldwide. However, its composition and characteristics are affected by a number of factors, such as geographical and botanical origin, harvesting and roasting conditions, and brewing method used. As coffee consumption rises, the demands on its high quality and authenticity naturally grows as well. Unfortunately, at the same time, various tricks of coffee adulteration occur more frequently, with the intention of quick economic profit. Many analytical methods have already been developed to verify the coffee authenticity, in which the high-performance liquid chromatography (HPLC) plays a crucial role, especially thanks to its high selectivity and sensitivity. Thus, this review summarizes the results of targeted and non-targeted HPLC analysis of coffee-based products over the last 10 years as an effective tool for determining coffee composition, which can help to reveal potential forgeries and non-compliance with good manufacturing practice, and subsequently protects consumers from buying overpriced low-quality product. The advantages and drawbacks of the targeted analysis are specified and contrasted with those of the non-targeted HPLC fingerprints, which simply consider the chemical profile of the sample, regardless of the determination of individual compounds present.
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Affiliation(s)
| | - Lenka Česlová
- Department of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentská 573, CZ-53210 Pardubice, Czech Republic
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