Polyculture microalgae and Zno/GAC-nanocomposite system for greywater treatment DOI

Meena Bhanu,

Mohit Aggarwal, Neelancherry Remya

et al.

Biomass and Bioenergy, Journal Year: 2024, Volume and Issue: 190, P. 107391 - 107391

Published: Sept. 23, 2024

Language: Английский

Time series forecasting of microalgae cultivation for a sustainable wastewater treatment DOI

K. Sundaram,

Deepak Kumar, Jintae Lee

et al.

Process Safety and Environmental Protection, Journal Year: 2025, Volume and Issue: unknown, P. 106845 - 106845

Published: Jan. 1, 2025

Language: Английский

Citations

0
Estimation of optimal culture conditions for Gedaniella panicellus GPYS21 (Fragilariaceae) as a high-yield bioresource for palmitoleic acid and fucoxanthin production1 DOI
Kichul Cho, Eun Song Kim,

Hyunji Ki

et al.

Biochemical and Biophysical Research Communications, Journal Year: 2025, Volume and Issue: 756, P. 151579 - 151579

Published: March 2, 2025

Language: Английский

Citations

0
Integrating Response Surface Methodology and Decision Tree Algorithms for Valorization of Cheese Whey Wastewater DOI Creative Commons

İremsu Kayan,

Nilgün Ayman Öz

Desalination and Water Treatment, Journal Year: 2025, Volume and Issue: unknown, P. 101129 - 101129

Published: March 1, 2025

Language: Английский

Citations

0
A dual approach using response surface methodology and machine learning for optimization and enhancement of microalgae‐based municipal wastewater treatment DOI Creative Commons

Iremsu Kayan,

Nilgün Ayman Öz

Journal of Chemical Technology & Biotechnology, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Abstract BACKGROUND Municipal wastewater comprises both organic and inorganic contaminants. Especially in rural areas, conventional municipal treatment plants primarily focus on carbon removal; therefore, nutrient removal should be prioritized for preventing environmental pollution. Mixotrophic microalgae such as Nannochloropsis sp. have significant potential removal. However, microalgae‐based systems can affected by many parameters and, using response surface methodology decision tree, a machine learning model help to determine the optimal conditions operate more efficiently. RESULTS The were determined light period of 21 h at an intensity 8000 lx temperature value 30 °C. Under these conditions, respective efficiency chemical oxygen demand, total carbon, Kjeldahl nitrogen, orthophosphate was 53%, 34%, 87%, 70%, respectively. Chlorophyll‐a concentration increased much 49%. Real used instead synthetic wastewater, yielding closer approximations real situations. CONCLUSION present study has underscored innovative, data‐driven approaches core ensuring sustainable management sets useful framework future research, which could done with aim refining methods enhance treatment. © 2025 Author(s). Journal Chemical Technology Biotechnology published John Wiley & Sons Ltd behalf Society Industry (SCI).

Language: Английский

Citations

0
How useful are data-driven methods for building-level greywater treatment from a process engineering perspective? DOI Creative Commons
Siyuan Wang, Mariane Yvonne Schneider, Eveline I.P. Volcke

et al.

Water Research X, Journal Year: 2025, Volume and Issue: unknown, P. 100343 - 100343

Published: April 1, 2025

Language: Английский

Citations

0
Machine learning assisted prediction and process validation of electrochemically induced phosphorus recovery from wastewater DOI
Alisha Zaffar, Muhil Raj Prabhakar, Chong Liu

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 114271 - 114271

Published: Sept. 1, 2024

Language: Английский

Citations

3
Design, construction and evaluation of collaborative bio-system of Vibrio fluvialis with Chlorella sorokiniana for treating actual printing and dyeing wastewater DOI
Yuling Song, Lijun Wang, Qiang Xi

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 500, P. 157459 - 157459

Published: Nov. 1, 2024

Language: Английский

Citations

2
Polyculture microalgae and Zno/GAC-nanocomposite system for greywater treatment DOI

Meena Bhanu,

Mohit Aggarwal, Neelancherry Remya

et al.

Biomass and Bioenergy, Journal Year: 2024, Volume and Issue: 190, P. 107391 - 107391

Published: Sept. 23, 2024

Language: Английский

Citations

0