LAPSE:2023.1276
Published Article
LAPSE:2023.1276
Optimization of the Biotreatment of GTL Process Water Using Pseudomonas aeruginosa Immobilized in PVA Hydrogel
February 21, 2023
Abstract
The COD reduction in gas to liquid (GTL) process water was optimized using response surface methodology (RSM). The biodegradation process was carried out in a spouted bed bioreactor (SBBR) using Pseudomonas aeruginosa immobilized in polyvinyl alcohol (PVA) gel. Different factors affecting the biological treatment of GTL process water (PW) were investigated. Three variables including PVA volume fraction, initial COD, and pH were investigated in the batch experiments. The biodegradation experiments were carried out by varying the initial COD values from 1000 to 3000 mg/L, pH from 5 to 8, and PVA v% from 20 to 30%. The maximum COD reduction was estimated to occur at an initial COD of 2595 mg/L, PVA v% of 27%, and pH of 7.3. At optimum conditions, the bioreactor system was able to achieve a maximum COD reduction of 89%, which is quite close to the RSM prediction value of 90%. The optimum operating conditions were used to carry out continuous biodegradation, and the results indicated that the COD reduction increased from 60% to 62% with an increase in the air flow rate from 2 to 3.3 La/Lr.min. However, by increasing the liquid flow rate from 2.1 to 4.2 mL/min and back to 2.1 mL/min, the COD reduction decreased from 66% to 39%. The system responded quickly to the change in liquid flow rate and returned to the initial COD level. This indicates that the system is highly stable and can easily recover.
Keywords
biodegradation, GTL process water, Pseudomonas aeruginosa, response surface methodology (RSM), spouted bed bioreactor (SBBR)
Suggested Citation
Ahmed SA, Surkatti R, Ba-Abbad MM, El-Naas MH. Optimization of the Biotreatment of GTL Process Water Using Pseudomonas aeruginosa Immobilized in PVA Hydrogel. (2023). LAPSE:2023.1276
Author Affiliations
Ahmed SA: Gas Processing Center, College of Engineering, Qatar University, Doha P.O. Box 2703, Qatar [ORCID]
Surkatti R: Gas Processing Center, College of Engineering, Qatar University, Doha P.O. Box 2703, Qatar
Ba-Abbad MM: Gas Processing Center, College of Engineering, Qatar University, Doha P.O. Box 2703, Qatar [ORCID]
El-Naas MH: Gas Processing Center, College of Engineering, Qatar University, Doha P.O. Box 2703, Qatar [ORCID]
Journal Name
Processes
Volume
10
Issue
12
First Page
2568
Year
2022
Publication Date
2022-12-02
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr10122568, Publication Type: Journal Article
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LAPSE:2023.1276
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https://doi.org/10.3390/pr10122568
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Feb 21, 2023
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