7 resultados para GREEN COFFEE

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Spent coffee grounds (SCG), which are the residue obtained from the treatment of coffee with hot water or steam, can be used for industrial applications, due to the high content in lipids. The cosmetic products might be a suitable application for these types of residues because the barrier properties of the stratum corneum (SC) are largely dependent on the intactness of the lipid lamellae that surrounds the corneocytes. The purpose of this work was to assess the feasibility of using the lipid fraction of SCG extracted with supercritical carbon dioxide in the development of new cosmetic formulations with improved skin lipids (sebum) and hydration. The use of spent coffee lipid extract in cosmetic industry seems to be a suitable approach to recycle the wastes from coffee industry. Emulsion containing 10% of the lipid fraction of SCG (SpentCofOil cream) presented promising characteristics in the improvement of sebum skin levels with a good acceptance by consumers when compared to an emulsion containing 10% w/w of green coffee oil (GreenCofOil cream) and a placebo without coffee oil (NoCofOil cream). Practical applications: In this work, the authors develop and characterize a cream containing 10% of the lipid fraction of SCG extracted with supercritical carbon dioxide with improved skin lipids (sebum) and hydration. © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Brazil is one of the major coffee producers in the world, because of this, the goal of this study was to assess the regional differences of coffee cultivation for the reference crops 2001/2002 and 2002/03 by means of a life cycle assessment (LCA) in order to generate detailed production inventory data as well as quantify the potential environmental impacts of this crop. All information considered in this study (use of water, fossil based energy, fertilizers, pesticides and correctives) was taken from data collected from the producing farms. Four Brazilian coffee producer regions located at the Southeastern region were evaluated: Sul de Minas Gerais and Cerrado Mineiro in Minas Gerais State, and Mogiana and Alta Paulista regions in São Paulo State. The data refer to a production of 25.2 million kg of green coffee. Depending on the considered region, the production of 1,000 kg of green coffee requires, on average, approx. 9,300 to 13,000 kg of total energy, 70 to 130 kg of diesel, 6,500 to 12,700 kg of process water, 270 to 340 kg of fertilizers (NPK), 2.0 to 13.0 kg of pesticides, 230 to 600 kg of correctives, and yield around 1,600 to 1,900 kg/ha. Despite 20% of the coffee growers showing a good environmental performance, i.e. consumption of pesticides, fertilizers and correctives lower than the regional averages, this study has also identified some farms that can probably reduce the amount of some inputs and enhance their environmental performance.

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Pós-graduação em Ciências Biológicas (Farmacologia) - IBB

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The contents of some nutrients in 35 Brazilian green and roasted coffee samples were determined by flame atomic absorption spectrometry (Ca, Mg, Fe, Cu, Mn, and Zn), flame atomic emission photometry (Na and K) and Kjeldahl (N) after preparing the samples by wet digestion procedures using i) a digester heating block and ii) a conventional microwave oven system with pressure and temperature control. The accuracy of the procedures was checked using three standard reference materials (National Institute of Standards and Technology, SRM 1573a Tomato Leaves, SRM 1547 Peach Leaves, SRM 1570a Trace Elements in Spinach). Analysis of data after application of t-test showed that results obtained by microwave-assisted digestion were more accurate than those obtained by block digester at 95% confidence level. Additionally to better accuracy, other favorable characteristics found were lower analytical blanks, lower reagent consumption, and shorter digestion time. Exploratory analysis of results using Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) showed that Na, K, Ca, Cu, Mg, and Fe were the principal elements to discriminate between green and roasted coffee samples. ©2007 Sociedade Brasileira de Química.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)