ArticleBioengineering (Basel, Switzerland)2022
Response Surface Optimization of Biophotocatalytic Degradation of Industrial Wastewater for Bioenergy Recovery.
Article in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Bioremediation Experience Collected in "Bioengineering in Remediation of Polluted Environments": A Closing Perspective by Guest Editors.Bioengineering (Basel, Switzerland) · 2025Article
- Valorisation of Biomass Waste for Sustainable Bioenergy and Biofuel Production.Bioengineering (Basel, Switzerland) · 2023Article
- Article
- Evaluating the Biodegradation of Veterinary Antibiotics Using Kinetics Model and Response Surface Methodology.Molecules (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The continuous combustion of fossil fuels and industrial wastewater pollution undermines global environmental and socio-economic sustainability. Addressing this necessitates a techno-scientific revolution to recover the renewable energy potential of wastewater towards a circular economy. Herein, a developed biophotocatalytic (BP) system was examined with an engineered Fe-TiO2 to ascertain its degradability efficiency and biogas production from industrial wastewater. The response surface methodology (RSM) based on a modified Box-Behnken designed experiment was used to optimize and maximize the BP system’s desirability. The parameters investigated included catalyst dosage of 2−6 g and hydraulic retention time (HRT) of 1−31 d at a constant temperature of 37.5 °C and organic loading rate of 2.38 kgCOD/Ld. The modified RSM-BBD predicted 100% desirability at an optimal catalyst load of 4 g and HRT of 21 d. This represented 267 mL/d of biogas and >98% COD, color, and turbidity removal. The experimental validity was in good agreement with the model predicted results at a high regression (R2 > 0.98) and 95% confidence level. This finding provides an insight into RSM modeling and optimization with the potential of integrating the BP system into wastewater settings for the treatment of industrial wastewater and biogas production.
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Registered trials
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