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	Provedor de dados CIGR Journal (2) Autor Mbuge, Duncan Onyango (2) Gitau, Ayub Njoroge (1) Kanali, |Christopher (1) Kiburi, Florence Gatwiri (1) Murunga, Sylvia Injete (1) Mutwiwa, Urbanus Ndungwa (1) Wekesa, Ingrid Namae (1) Mais... Palavra-chave Anaerobic digestion (1) Biodegradable (1) Brewery (1) Drying model (1) Hydrogel (1) Logarithmic model (1) Physicochemical characterization (1) Pollution (1) Seed maize (1) Waste water (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2016 (1) 2015 (1) País China (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Characterization of brewery waste water and evaluation of its potential for biogas production CIGR Journal Murunga, Sylvia Injete; Mbuge, Duncan Onyango; Gitau, Ayub Njoroge; Mutwiwa, Urbanus Ndungwa; Wekesa, Ingrid Namae. The issue of global warming and climate change is strongly receiving public attention and has become a major environmental concern both nationally and internationally. Brewing industries are among the largest consumers of water and the largest source of organic effluent mostly from the brewing, cleaning, and cooling processes which must be treated to allowable levels to reduce environmental pollution. Close to 10 L water is used for every 1 L beer that is brewed, though the amount of water in the final beer is small. A study was undertaken to characterize and assess the variations in the quality of untreated brewery waste water. Samples from different process streams including brewing line, clean in place line and mixing line from two brewing industries in... Tipo: Info:eu-repo/semantics/article Palavras-chave: Brewery; Physicochemical characterization; Waste water; Pollution; Biodegradable; Anaerobic digestion. Ano: 2016 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3759 Modeling drying of seed maize using super absorbent hydrogel under hermetic conditions CIGR Journal Kiburi, Florence Gatwiri; Kanali, |Christopher; Mbuge, Duncan Onyango. The objective of this study was to establish the feasibility of applying the Page, Two term exponential, Newton, Logarithmic and Henderson and Pabis mathematical drying models for predicting the drying kinetics of seed maize using super absorbent hydrogel under hermetic conditions. To achieve this, the study was conducted using hydrogel to seed maize ratios by weight of 0:1, 1:5, 1:10 and 1:15 at four different drying temperature levels of 25oC, 30oC, 35oC and 40oC at different initial seed maize moisture contents of 16%, 28% and 53% (dry basis). The moisture data obtained were fitted into the five drying models using non-linear regression analysis (MS Excel 2003TM) based on the minimization of sum of squares by adjusting the model constants. The... Tipo: Info:eu-repo/semantics/article Palavras-chave: Drying model; Seed maize; Hydrogel; Logarithmic model. Ano: 2015 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3317 Registros recuperados: 2 Primeira ... 1 ... Última

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