23 research outputs found

    Evaluación de aceitunas negras estilo griego utilizando salmueras de diferentes concentraciones

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    hree fermentation processes with black table-olives were tested. Olives were placed in: a) 16 %(w/v) concentration of NaCl, (traditional treatment), b) a buffer of CH3COOH (0.05M) and Ca(OH)2, (0.025M) without any NaCl and initial pH 4.7, and c) a buffer of CH3COOH (0.05M) and Ca(OH)2 (0.025M) containing 12.8 % (w/v) NaCl, and pH 4.3. Isolation, identification and enumeration of predominant microorganisms from fruits and brines sampled during the fermentation periods as well as color, intensity, texture and sensory evaluation tests of the final products were conducted. The third fermentation process, (c), yielded a product with low salt content no presence of spoilage microflora or other alterations during the fermentation period, with significantly better final texture and color, and higher acceptability among the consumers (PSe han ensayado tres procesos para la elaboración de aceitunas negras de mesa. Los frutos se colocaron en: a) una salmuera con una concentración de sal del 16 % (w/w), proceso tradicional; b) en una solución tampón compuesta de CH3COOH (0.05M) y Ca(OH)2 (0.025M) , sin NaCl y con un pH inicial de 4.3; c) una solución tampón compuesta de CH3COOH (0.05M) y Ca(OH)2 (0.025M),conteniendo 12.8 % (w/w) NaCl y un pH de 4.3. Se realizó el aislamiento, identificación y el recuento de los micoorganismos predominantes, tanto del fruto como de las salmueras, durante la fermentación. Asimismo, se estudió el color, textura y las características organolépticas de los productos finales. El tercer tipo de proceso fermentativo, tipo c, dio lugar a un producto con baja sal, ausencia de microorganismos alterantes o de cualquier otra alteración, dando una textura y un color significativamente mejor y resultando con una mayor aceptación entre los consumidores (

    Machine learning and data mining frameworks for predicting drug response in cancer:An overview and a novel <i>in silico</i> screening process based on association rule mining

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    Non-perennial Mediterranean rivers in Europe: Status, pressures, and challenges for research and management

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    The mathematical modelling of tumour growth

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    LATTICE ENERGY AND STABILITY OF CHROMIUM MONOHALIDES

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    Analysis of synthetic fuels for functional group determination

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    A method for the structural characterization of complex mixtures is developed which utilizes elemental analysis, NMR, and other analytical data to determine functional group concentrations. The method is tested with mixtures of known composition and is applied to a set of hydrodesulfurlzed coal liquids. The results are compared with mass spectrometric data and with the results of established methods of structural analysis
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