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DIGITAL.CSIC
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Clarificación de alpechín por membranas en flujo tangencial

Authors: Martínez-Rodríguez, Adolfo J.; Martín, Olga; Mollá, Esperanza; Prodanov, M.;

Clarificación de alpechín por membranas en flujo tangencial

Abstract

En este trabajo se ha puesto a prueba la capacidad de clarificación de alpechín por una membrana de 0.5 µm de tamaño de poro. Se trataron 19.2 L de alpechín durante 2 h y 40 min y se obtuvieron 11.5 L de alpechín clarificado y 7 L de concentrado de sólidos finos insolubles. La filtración empezó con un flujo de permeado de 92.3 L/h.m2 que disminuyó hasta 34.6 L/h.m2 al final del tratamiento. La membrana recuperó la permeabilidad al agua al 100%. El tratamiento redujo la turbidez del alpechín de 108 200 a 0.47 NTU, es decir se obtuvo una excelente clarificación. Sin embargo, análisis del alpechín de partida y el filtrado por HPLC en fase inversa pusieron de manifiesto que se produjeron también pérdidas importantes de hasta 91% de varios moléculas de interés, como el tirosol glucósido (4-HPE-glucósido) y el hidroxitirosol hidroxi-decarboximetil elenolato (3,4-DHPE-HDCM-E), e incluso, la desaparición total del tirosol. El análisis por HPLC en fase normal reveló además, una pérdida de un 50% en la fracción polimérica (coloidal), lo que afirma que la membrana estudiada produjo más bien un efecto de ultrafiltración que de microfiltración. Por tanto se puede concluir que a pesar de la excelente clarificación lograda, el tratamiento conlleva cambios importantes en la composición del alpechín, problema que queda por ser evaluado a más largo plazo.

Resumen del trabajo presentado al XIX Simposio Científico-Técnico ExpOliva, celebrado en Jaén del 15 al 18 de mayo de 2019.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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