Senthil Kumar Arumugasamy
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Senthil Kumar Arumugasamy has a total of 74 co-authors. Here are the top co-authors by number of shared publications:
- Anurita Selvarajoo
Faculty of Science and Engineering, University of Nottingham Malaysia, Semenyih 43500, Selangor, Malaysia
14 shared publications - Vasanthi Sethu
University of Nottingham Malaysia
7 shared publications Harshini Pakalapati
Department of Chemical and Environmental Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia Campus, Semenyih, Malaysia
6 shared publicationsLata Deso Abo
Department of Chemical Engineering, Haramaya Institute of Technology, Haramaya University, Dire Dawa, Ethiopia
6 shared publications- Mani Jayakumar
Haramaya University
6 shared publications - Zainal Ahmad
Universiti Sains Malaysia
5 shared publications
Latest Publications
- Open Access
- 1 September 2026
- Published by IOP Publishing in IOP Conference Series: Earth and Environmental Science
- Vol. 1665 (1)
Determining the physicochemical characteristics of palm oil mill effluent (POME) to analyze its suitability as a substrate for enzyme synthesis
The efficiency of microbial and enzyme-based processes in wastewater valorization is strongly influenced by substrate composition and environmental conditions. This study evaluates the relationship between the physicochemical characteristics of palm oil mill effluent (POME) and its suitability for supporting microbial growth and lipolytic enzyme production. Samples were collected from multiple treatment ponds and analyzed for key parameters. The pH, temperature, and dissolved oxygen (DO) were measured in situ using standard probes, while total solids were determined gravimetrically by oven-drying at 103 – 105 °C. The POME samples exhibited acidic to near-neutral pH (4.8 - 8.0), elevated temperatures (30 – 75 °C), and low DO levels (< 2.0 mg L −1 ), indicating predominantly anaerobic conditions. Total solids (residual organic matter) remained high (976.7 - 57,400 mg L −1 ), reflecting incomplete degradation. These conditions create a selective ecological niche favoring lipolytic fungi and facultative anaerobic microorganisms. The combined effects of moderate acidity, high temperature, and substantial organic load suggest that POME is a suitable substrate for enzyme-producing microorganisms. The findings demonstrate that, beyond its conventional classification as a pollutant, POME represents a biologically active medium with potential for enzyme-based bioprocesses and resource recovery, supporting sustainable wastewater valorization within a circular bioeconomy framework.
- 1 September 2026
- Published by IOP Publishing in IOP Conference Series: Earth and Environmental Science
- Vol. 1665 (1)
Open AccessDetermining the physicochemical characteristics of palm oil mill effluent (POME) to analyze its suitability as a substrate for enzyme synthesis
The efficiency of microbial and enzyme-based processes in wastewater valorization is strongly influenced by substrate composition and environmental conditions. This study evaluates the relationship between the physicochemical characteristics of palm oil mill effluent (POME) and its suitability for supporting microbial growth and lipolytic enzyme production. Samples were collected from multiple treatment ponds and analyzed for key parameters. The pH, temperature, and dissolved oxygen (DO) were measured in situ using standard probes, while total solids were determined gravimetrically by oven-drying at 103 – 105 °C. The POME samples exhibited acidic to near-neutral pH (4.8 - 8.0), elevated temperatures (30 – 75 °C), and low DO levels (< 2.0 mg L −1 ), indicating predominantly anaerobic conditions. Total solids (residual organic matter) remained high (976.7 - 57,400 mg L −1 ), reflecting incomplete degradation. These conditions create a selective ecological niche favoring lipolytic fungi and facultative anaerobic microorganisms. The combined effects of moderate acidity, high temperature, and substantial organic load suggest that POME is a suitable substrate for enzyme-producing microorganisms. The findings demonstrate that, beyond its conventional classification as a pollutant, POME represents a biologically active medium with potential for enzyme-based bioprocesses and resource recovery, supporting sustainable wastewater valorization within a circular bioeconomy framework.
- 27 December 2024
- Published by Springer Nature
- p. 1893-1904
Waste Biomass Utilization for Production of Bioenergy Through Gasification Practice
- 27 December 2024
- Published by Springer Nature
- p. 1893-1904
Waste Biomass Utilization for Production of Bioenergy Through Gasification Practice
- 27 December 2024
- Published by Springer Nature
- p. 1520-1530
Natural Resources-Based Activated Carbon Synthesis
- 27 December 2024
- Published by Springer Nature
- p. 1520-1530
Natural Resources-Based Activated Carbon Synthesis
- 25 June 2024
- Published by Springer Nature in Process Integration and Optimization for Sustainability
- Vol. 8 (5) , 1369-1383
Usage of Biomass Gasifier for Drying Soaked Paddy in a Reversible Airflow Flatbed Dryer: Artificial Neural Network Modelling
- 25 June 2024
- Published by Springer Nature in Process Integration and Optimization for Sustainability
- Vol. 8 (5) , 1369-1383
Usage of Biomass Gasifier for Drying Soaked Paddy in a Reversible Airflow Flatbed Dryer: Artificial Neural Network Modelling
- Open Access
- 1 January 2024
- Published by AIP Publishing in AIP Conference Proceedings
- Vol. 3062 (1) , 020008
Deep learning modeling for removal of cadmium (Cd) (II) ions from water using kenaf fiber biochar as an adsorbent
Heavy metals in the water bodies can be detrimental to human health and also the environment. Removal of heavy metal can be done using adsorbent derived fr Heavy metals in the water bodies can be detrimental to human health and also the environment. Removal of heavy metal can be done using adsorbent derived fr
- 1 January 2024
- Published by AIP Publishing in AIP Conference Proceedings
- Vol. 3062 (1) , 020008
Open AccessDeep learning modeling for removal of cadmium (Cd) (II) ions from water using kenaf fiber biochar as an adsorbent
Heavy metals in the water bodies can be detrimental to human health and also the environment. Removal of heavy metal can be done using adsorbent derived fr Heavy metals in the water bodies can be detrimental to human health and also the environment. Removal of heavy metal can be done using adsorbent derived fr
- 30 November 2023
- Published by Springer Nature
- p. 343-360
Artificial Neural Network Modeling of Palm Oil Mill Effluent (POME) Treatment Using Plant-Based Bio-coagulant and Bio-flocculant
- 30 November 2023
- Published by Springer Nature
- p. 343-360
Artificial Neural Network Modeling of Palm Oil Mill Effluent (POME) Treatment Using Plant-Based Bio-coagulant and Bio-flocculant
- 15 September 2023
- Published by Springer Nature in Process Integration and Optimization for Sustainability
- Vol. 8 (1) , 259-270
Water Level Forecasting Using Artificial Neural Network (Ann): A Case Study of Semenyih River, Malaysia
- 15 September 2023
- Published by Springer Nature in Process Integration and Optimization for Sustainability
- Vol. 8 (1) , 259-270
Water Level Forecasting Using Artificial Neural Network (Ann): A Case Study of Semenyih River, Malaysia