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EFFICIENCY STUDIES OF HOLLOW FIBER ORGANIC MEMBRANES IN RESTRAINING YEAST FROM WASTEWATER SUBJECTED TO ULTRAFILTRATION

Laurențiu Tataru

First published: 2018-06-20https://doi.org/10.5593/sgem2018/3.1/s12.031View metrics

Abstract

The present paper aims at presenting experimentally obtained results to determine the effectiveness of organic polyacrylonitrile hollow fiber membranes as a result of retaining the content of yeast mixed with deionized water as a feed solution. The use of the membrane module in the ultrafiltration process of various chemical compounds existing in laboratory wastewater is a start for industrial applications. That is why it is necessary to know and to understand in detail the dependence between the operating parameters of the installations in which this type of membrane exists. The approach of the paper involves understanding the interaction of the yeast at the membrane fibers that serve the ultrafiltration process as well as the processing of the results obtained in order to determine the efficiency of this type of membrane for a certain period of time. The results estimate a high retention of more than 50% for the yeast contained in the membrane module feed, especially in the first filtration cycles when the permeate obtained has the highest quality as a result of membrane renewal. At the same time, the formation of the layer of matter retained on the surface of the membrane will indicate that the retention efficiency is great especially if the time in which the material, respectively the yeast, accumulates is smaller. The detailed and explication results obtained on this topic is presented in this paper.

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Publication details

Title
EFFICIENCY STUDIES OF HOLLOW FIBER ORGANIC MEMBRANES IN RESTRAINING YEAST FROM WASTEWATER SUBJECTED TO ULTRAFILTRATION
Authors
Laurențiu Tataru
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Water Resources. Forest, Marine and Ocean Ecosystems
Publisher
STEF92 Technology
Year
2018
Pages
235-242
SWS Citekey
Laurentiu201812235242
ISSN
1314-2704
ISBN
978-619-7408-42-3
Language
en
Publication type
Conference Paper
Keywords
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