Chlorella pyrenoidosa-mediated removal of pathogenic bacteria from municipal wastewater – Multivariate process optimization and application in the real sewage. Issue 2 (April 2023)
- Record Type:
- Journal Article
- Title:
- Chlorella pyrenoidosa-mediated removal of pathogenic bacteria from municipal wastewater – Multivariate process optimization and application in the real sewage. Issue 2 (April 2023)
- Main Title:
- Chlorella pyrenoidosa-mediated removal of pathogenic bacteria from municipal wastewater – Multivariate process optimization and application in the real sewage
- Authors:
- Bhatt, Ankita
Arora, Pratham
Prajapati, Sanjeev Kumar - Abstract:
- Abstract: The use of microalgae for pathogen removal from wastewater has been recently brought to the limelight. However, the optimized conditions for microalgae-mediated pathogen removal (MAPR) have not been established yet. The present work is the first attempt to employ a multivariate optimization approach, the Taguchi method, for MAPR optimization. Interestingly, Chlorella pyrenoidosa demonstrated high Escherichia coli removal rates (90.1–99.9 %) from low, medium, and high-strength synthetic municipal wastewater. Process optimization revealed that 12, 000 lux illumination and 37 °C were optimal conditions to achieve maximum E. coli removal from high-strength wastewater (600 mg L −1 biochemical oxygen demand). Results indicated that the interplay between C. pyrenoidosa and E. coli is most probably governed by photooxidation since increased illumination was associated with a 93 % reduction in the removal time. Furthermore, a substantial decline in the pathogen load (92 % decline in total bacteria count) was observed in real sewage through C. pyrenoidosa cultivation at optimized conditions . Additionally, 98 % Enterobacteriaceae removal and 96 % Salmonella sp. removal were also observed from real sewage in presence of C. pyrenoidosa . Hence, MAPR results demonstrated the robustness of C. pyrenoidosa for pathogen removal from wastewater. Overall, the present study established a set of optimized conditions that could be exploited for mechanistic investigation or scale-upAbstract: The use of microalgae for pathogen removal from wastewater has been recently brought to the limelight. However, the optimized conditions for microalgae-mediated pathogen removal (MAPR) have not been established yet. The present work is the first attempt to employ a multivariate optimization approach, the Taguchi method, for MAPR optimization. Interestingly, Chlorella pyrenoidosa demonstrated high Escherichia coli removal rates (90.1–99.9 %) from low, medium, and high-strength synthetic municipal wastewater. Process optimization revealed that 12, 000 lux illumination and 37 °C were optimal conditions to achieve maximum E. coli removal from high-strength wastewater (600 mg L −1 biochemical oxygen demand). Results indicated that the interplay between C. pyrenoidosa and E. coli is most probably governed by photooxidation since increased illumination was associated with a 93 % reduction in the removal time. Furthermore, a substantial decline in the pathogen load (92 % decline in total bacteria count) was observed in real sewage through C. pyrenoidosa cultivation at optimized conditions . Additionally, 98 % Enterobacteriaceae removal and 96 % Salmonella sp. removal were also observed from real sewage in presence of C. pyrenoidosa . Hence, MAPR results demonstrated the robustness of C. pyrenoidosa for pathogen removal from wastewater. Overall, the present study established a set of optimized conditions that could be exploited for mechanistic investigation or scale-up studies for real-world applications. Graphical Abstract: ga1 Highlights: Efficiency of C. pyrenoidosa to remove E. coli from wastewater was investigated. Taguchi method was employed for multiparameter process optimization. C. pyrenoidosa achieved 92 % removal of total bacteria from real sewage. C. pyrenoidosa removed 98 % Enterobacteriaceae and 96 % Salmonella sp. from real sewage. Wastewater strength and illumination are crucial for pathogen removal. … (more)
- Is Part Of:
- Journal of environmental chemical engineering. Volume 11:Issue 2(2023)
- Journal:
- Journal of environmental chemical engineering
- Issue:
- Volume 11:Issue 2(2023)
- Issue Display:
- Volume 11, Issue 2 (2023)
- Year:
- 2023
- Volume:
- 11
- Issue:
- 2
- Issue Sort Value:
- 2023-0011-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-04
- Subjects:
- Microalgae -- Pathogens -- Process optimization -- Sewage -- Wastewater treatment -- Phycoremediation
Chemical engineering -- Environmental aspects -- Periodicals
Environmental engineering -- Periodicals
Chemical engineering -- Environmental aspects
Environmental engineering
Periodicals
660.0286 - Journal URLs:
- http://www.sciencedirect.com/science/journal/22133437 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jece.2023.109494 ↗
- Languages:
- English
- ISSNs:
- 2213-2929
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
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