EVALUATION OF DIFFERENT POLYMERIC MEMBRANE SUPPORT FOR ACETIC ACID REMOVAL BY SUPPORTED LIQUID MEMBRANE PROCESS

2016 ◽  
Vol 78 (12) ◽  
Author(s):  
Norlisa Harruddin ◽  
Syed M. Saufi ◽  
Che Ku M. Faizal ◽  
Abdul Wahab Mohammad

In this study, the removal of acetic acid from aqueous solution through supported liquid membrane (SLM) process by using tri-n-octylamine (TOA) as a carrier and sodium hydroxide as a stripping agent was conducted. Acetic acid can inhibit the microbial activity during fermentation process of biomass hydrolysate, thus decreasing the bioethanol production. It is crucial to remove acetic acid prior to fermentation process in order to increase the yield of bioethanol from biomass resources. In this study, the removal of acetic acid was conducted using different types of polymeric membrane in supported liquid membrane process. Three types of polymeric membranes support which are polyethersulfone (PES), polysulfone (PSF) and polyvinyflouride (PVDF) prepared by vapour induced phase separation (VIPS) were used as a support material. The types of polymer give a significant effect on membrane morphology and its physical characteristics. PES exhibited a porous membrane support with a symmetric structure and high contact angle. Almost 86% of 10 g/l of acetic acid was successfully removed by using PES as a support membrane, compared to the 6% and 38% removal using PSF and PVDF membrane, respectively.

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
S. S. Teng ◽  
N. Harruddin ◽  
Syed M. Saufi

Sugar is released during biomass hydrolysis together with unwanted inhibitory compounds such as acetic acid, furfural and hydromethylfurfural. The extraction of particular sugar prior to fermentation process is needed in order to increase the yield of biofuel generated from biomass resources. In the current study, glucose was extracted from the aqueous solution using supported liquid membrane (SLM) system. Polyethersulfone (PES) flat sheet membrane support was fabricated using 15 wt.% PES, 42.5 wt.% DMAc and 42.5 wt.% PEG 200. Liquid membrane was formulated using 2-ethyl hexanol and methyl cholate as solvent and carrier, respectively. The effect of several parameters involved in SLM system such as type of diluent and flowrate of feed and stripping phase on the extraction performance of glucose were studied. About 52.77% of glucose was successfully extracted from aqueous solution using SLM system with 0.01M of methyl cholate in 2-ethyl hexanol. Using simulated biomass hydrolysate solution, almost 54.55% of glucose and 51.08% of xylose were successfully extracted using the SLM system.


2017 ◽  
Vol 19 ◽  
pp. 118 ◽  
Author(s):  
Sathiya Sanmugam ◽  
Norlisa Harruddin ◽  
Syed M Saufi

<p>Acetic acid is a byproduct of acid hydrolysis of biomass during sugar recovery step in biofuel production. Acetic acid can inhibit the enzyme used during fermentation of sugar to the ethanol. Hollow fiber supported liquid membrane (SLM) was used in this study to remove acetic acid from aqueous solution. Liquid membrane was formulated using trioctylamine and 2-ethyl hexanol as a carrier and solvent, respectively. The hollow fiber membrane support was prepared from 15 wt.% polyethersulfone, 42.5 wt.% polyethyleneglycol 200 and 42.5 wt.% dimethylacetamide. The effect of coagulation bath temperature (CBT) at 30<sup>º</sup>C, 40<sup>º</sup>C and 50<sup>º</sup>C during hollow fiber membrane spinning process was investigated. The porosity of the membrane increased as the CBT increased. The porosity of the membrane prepared using CBT of 30ºC, 40<sup>º</sup>C and 50<sup>º</sup>C were 35.7%, 46.7% and 61.6%, respectively. SLM process using hollow fiber membrane prepared at 50ºC of coagulation bath was able to remove 52% of acetic acid from the aqueous solution.</p><p>Chemical Engineering Research Bulletin 19(2017) 118-122</p>


RSC Advances ◽  
2015 ◽  
Vol 5 (88) ◽  
pp. 71999-72008 ◽  
Author(s):  
Mriganka Sekhar Manna ◽  
Prabirkumar Saha ◽  
Aloke Kumar Ghoshal

The stability of the LM in the micro-pores of a solid polymeric membrane support is improved by the optimization of influential parameters.


2017 ◽  
Vol 28 (Suppl. 1) ◽  
pp. 111-120 ◽  
Author(s):  
Norlisa Harruddin ◽  
◽  
Syed M. Saufi ◽  
Che Ku M. Faizal ◽  
Abdul Wahab Mohammad ◽  
...  

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