• Advances in nano research
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• v.5 no.3
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• pp.253-260
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• 2017

We report a simple eco-friendly process for the synthesis of gold nanoparticles (AuNPs) using aqueous extract from Coffea Arabica fruit. The formation of AuNPs was confirmed using absorption spectroscopy and scanning electron microscopy images. FT-IR analysis demonstrates the major functional groups present in Coffee Arabica fruit extract before and after synthesizing AuNPs. The Face Center Cubic (FCC) polycrystalline nature of these particles was identified by X-Ray diffraction (XRD) analysis. Taking into account the contribution of the biomass surrounding the AuNPs, dynamic light scattering (DLS) results revealed an average particle size of ~59 nm.

• Korean Chemical Engineering Research
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• v.56 no.2
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• pp.245-251
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• 2018

In this study, Coffea arabica ethanol extract (CAE) was tested for possible functional cosmetic agent. Whitening effect was measured by tyrosinase inhibition assay, and anti-oxidant activity was checked by SOD-like activity. SOD-like activity of CAE showed $94.8{\pm}6.2%$ at $500{\mu}g/mL$. The anti-bacterial activities CAE was evaluated against three different gram-positive bacteria and six gram-negative bacteria including MRSA strains. CAE exhibited in vitro broad spectrum antimicrobial activities of gram-negative bacteria without antifungal activity. CAE was strong exhibited against MRSA CCARM3561. The tyrosinase and L-DOPA inhibitory activities of the CAE lower than those positive control arbutin. CAE reduced melanin contents of B16-F10 melanoma cell in a dose dependent manner and decrease about 89.2% at a concentration $100{\mu}g/mL$. These result highlight the potential of coffee extract as a naturally active and non-toxic antibacterial suitable for cosmetic applications.

• Korean Journal of Food Science and Technology
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• v.52 no.3
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• pp.212-219
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• 2020

The physicochemical characterstics of El Salvadoran Coffea arabica cv. Bourbon coffee extracts under various roasting conditions were investigated. Green beans were roasted under four different conditions (Light-medium, Medium, Moderately dark, and Very dark). The coffee extracts were prepared by using the espresso or drip methods. As the roasting degree increased, the coffee bean moisture content decreased and the ash content increased. The lightness and yellowness of the beans and coffee extracts decreased along with the increasing roasting degree. In the drip coffee, the reducing sugar content decreased and the pH value increased along with the increasing roasting degree. Both in the espresso and drip coffee, total organic acid and chlorogenic acid contents decreased, while the caffeine content increased along with the increasing roasting degree. Therefore, it is suggested that the roasting degree affects the physicochemical characteristics of coffee extracts.

• Preventive Nutrition and Food Science
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• v.18 no.1
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• pp.30-37
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• 2013

In vitro antioxidant activities and neuronal cell protective effects of ethanol extract from roasted coffee beans were investigated. Colombia arabica coffee (Coffea arabica) green beans were roasted to give medium ($230^{\circ}C$, 10 min), city ($230^{\circ}C$, 12 min) and french ($230^{\circ}C$, 15 min) coffee beans. Total phenolics in raw green beans, medium, city and french-roasted beans were $8.81{\pm}0.05$, $9.77{\pm}0.03$, $9.92{\pm}0.04$ and $7.76{\pm}0.01$ mg of GAE/g, respectively. The content of 5-O-caffeoylquinic acid, the predominant phenolic, was detected higher in medium-roasted beans than others. In addition, we found that extracts from medium-roasted beans particularly showed the highest in vitro antioxidant activity on ABTS radical scavenging activity and FRAP assays. To determine cell viability using the MTT assay, extracts from medium- roasted beans showed higher protection against $H_2O_2$-induced neurotoxicity than others. Lactate dehydrogenase (LDH) leakage was also inhibited by the extracts due to prevention of lipid peroxidation using the malondialdehyde (MDA) assay from mouse whole brain homogenates. These data suggest that the medium-roasting condition to making tasty coffee from Columbia arabica green beans may be more helpful to human health by providing the most physiological phenolics, including 5-O-caffeoylquinic acids.

• Journal of the Korean Magnetic Resonance Society
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• v.21 no.2
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• pp.44-49
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• 2017

Coffee is one of the top selling products in the world. There are various coffee bean species around the world. Among them, Coffea Arabica is the most popular species. However, there are few studies on the metabolites of coffee beans so far. This study demonstrates effects of the planted regions on the metabolite concentrations of coffee beans. The metabolites of coffee beans can be affected by growing area even although same species are grown. Accordingly, we studied coffee bean metabolites extracted from the same species in different regions (The brand names, Kona from Hawaii, Mocha Matari from Yemen, and Blue Mountain from Jamaica) by using mixed solvent of methanol: water: chloroform. A comparative analysis by NMR spectroscopy was performed and the statistical techniques were used to figure out the differences. As a result, we found that chlorogenic acid, caffeine, citrate, and sucrose mainly contributed to the separation of the three groups. When compared with Kona and Blue Mountain, concentrations of chlorogenic acid, caffeine, and sucrose in Mocha Matari were observed to be relatively down-regulated. In addition, compared with the two other groups, concentration of citrate in Kona was observed to be up-regulated.

• Korean Journal of Plant Resources
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• v.31 no.6
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• pp.704-713
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• 2018

Roasting has revealed coffee's potentials as a good source of bioactive compounds. This study was done to investigate the quantitative presence and activity of bioactive compounds including caffeine, chlorogenic acid (CGA), amino acids, and antioxidant capacity on Coffea arabica L. (Guatemala finca San Sebastian) and C. robusta L. (India Azad Hind). Analysis was performed on Green Bean (GB) Medium-Light (ML), Medium (ME) and Medium-Dark (MD) samples of both varieties. From the results, caffeine content was highest in ME samples of both varieties. GB samples of both varieties had high CGA content which decreased after increasing roasting time and temperature. Most amino acids in GB samples was highest, however, glutamic acid, valine, tyrosine, isoleucine, leucine and phenylalanine had highest quantitative increase in ME samples for both varieties. $IC_{50}$ of DPPH and ABTS radical scavenging activity was highest in ML samples of both varieties. $IC_{50}$ of reducing power and total phenolic content was highest in GB sample of both varieties but decreased after increasing roasting conditions. Generally Robusta had the highest quantity of bioactive compounds and antioxidant activity. From this study, the optimal roasting condition for coffee is ME above which there is a significant reduction of bioactive compounds and antioxidant activity.

• Journal of Plant Biotechnology
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• v.45 no.1
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• pp.45-54
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• 2018

This research was conducted to study the gene expression of coffee (Coffea arabica L.) seedlings under salt stress condition. A solution of five percent ($2.3dS\;m^{-1}$) deep sea water was used for the salt treatment, and it was thereby compared to normal irrigation water ($0.2dS\;m^{-1}$) used for the control treatment. The mRNA was extracted from the leaves of the coffee seedlings for a comprehensive analysis. In this study, a total of 19,581 genes were identified and aligned to the reference sequences available in the coffee genome database. The gene ontology analysis was performed to estimate the number of genes associated with the identified biological processes, cellular components and molecular functions. Among the 19,581 genes, 7369 (37.64%) were associated with biological processes, 5909 (30.18%) with cellular components, and 5325 (27.19%) with molecular functions. The remaining 978 (4.99%) genes were therefore grouped as unclassified. A differential gene expression analysis was performed using the DESeq2 package to identify the genes that were differentially expressed between the treatments based on fold changes and p-values. Namely, a total of 611 differentially expressed genes were identified (treatment/control) in that case. Among these, 336 genes were up-regulated while 275 of the genes were down-regulated. Of the differentially expressed genes, 60 genes showed statistically significant (p < 0.05) expression, 44 of which were up-regulated and 16 which were down-regulated. We also identified 11 differentially expressed transcription factor genes, 6 of which were up-regulated and rest 5 genes were down-regulated. The data generated from this study will help in the continued interest and understanding of the responses of coffee seedlings genes associated with salinity stress, in particular. This study will also provide important resources for further functional genomics studies.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2018.10a
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• pp.93-93
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• 2018

집속초음파 추출법(Innovative Extraction by Focused Ultrasound, INEFU)은 기존의 추출법에 비교하여 식물세포벽으로부터 기능성 성분을 낮은 온도에서 높은 추출 효율을 얻기 위한 추출공정으로 적용하기 위하여 연구되고 있다. 본 연구에서는 그린커피빈(COFFEA ARABICA SEED)에서 Chlorogenic acid, Caffein, Caffeic acid의 기능성 성분 추출을 위해 INEFU를 적용하여 추출 효율에 미치는 요인을 평가하였다. 추출 변수의 최적화를 위해 추출 온도 및 추출 시간을 요인으로 하여 순차적인 최적화를 진행하였다. 동일한 추출조건에서 저온추출(CEM)과 INEFU를 비교하였을 때 INEFU에서 Chlorogenic acid, Caffein이 각각 2.1 와 2.2배 증가함을 확인하였다. 또한 Caffeic acid는 저온추출(CEM)에서는 추출되지 않았으나, INEFU에서는 추출되는 것으로 확인하였다. 본 연구를 통해 INEFU가 기존의 추출 공정에 비해 기능성 성분 생산에 보다 효과적임을 확인하였다.

• Journal of Forest and Environmental Science
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• v.35 no.2
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• pp.121-139
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• 2019

Decomposition of litter is a function of various interrelated variables, both biotic and abiotic factors. Litter decomposition acts like a natural fertilizer play a prime role in maintaining the productivity and nutrient cycling in agroforestry systems. There are few studies of decomposition carried out in agroforestry systems with coffee; so it is necessary to perform more research work to fill the research gap, which will allow a better understanding of the management of the coffee agroforestry systems. This paper is based on the theoretical and conceptual aspects of leaf litter decomposition in agroforestry systems, emphasizing the combination with coffee cultivation and critically examined the role of the different factors involved in the decomposition. This study made a comparison of different investigations with regards to weight loss, decomposition rates (k), initial chemical composition, and release of the main nutrients. This study suggested that it is necessary to implement studies of decomposition and mineralization, and the microflora and fauna associated with these processes, so that serves as an important tool to develop a model for enabling a description of the short, medium, and long-term dynamics of soil nutrients in coffee agroforestry systems.

• Food Science and Preservation
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• v.22 no.5
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• pp.690-698
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• 2015

Effects of roasting on physical (weight, volume, density and color) and chemical properties (total phenol, caffeine, chlorogenic acid and antioxidant properties) of three Arabica coffee beans (Brazil Bourbon, Indonesia Mandheling and Kenya Tatu) were investigated. A steady weight loss, volume increase, and bean density decrease were observed during the roasting process. The $L^*$, $a^*$, and $b^*$ values tended to decrease as the roasting temperature and time increased. Caffeine level was approximately 0.73% in green beans, and increased to 40-67% for darker roasts. Green beans contained the highest chlorogenic acid content, which decreased as the roasting temperature and time increased. The light- and medium-roasted coffee showed the highest total phenolol contents. The antioxidant activities were measured using DPPH and ABTS. The light-roasted coffee beans showed the highest antioxidant activities, and an approximately 36-51% loss in antioxidant activity was observed after further roasting. The flavor patterns of roasted coffee beans were analyzed using an electronic nose system based on gas chromatography. This analysis demonstrated that an electronic nose system can be applied to identify the green bean variety and the degree of roasting.