OPTIMISING LEAD IONS REMOVAL EFFICIENCY OF MELON HUSK BIO- ADSORBENT USING RESPONSE SURFACE METHODOLOGY AND PYOMO
Azubuogu, P. U. and Loveday, I. E.
Published: August 06, 2025
DOI: 10.51975/25400104.som
Pages: 32-39
Volume 40, No. 1, March/April 2025
Keywords:
: Melon husk; Water Treatment; Response Surface Methodology, Pyomo Optimization;
Process Modelling.
1.
Abstract:
This study aims to optimize the removal efficiency of melon husk as a bio-adsorbent for lead ions in
water. Response Surface Methodology (RSM) and Pyomo were employed to analyze experimental data
from literature and identify optimal operating conditions. The independent variables used were dosage
of melon husk and contact time. It was observed that time had a more positive influence on removal
efficiency than dosage. Using the Stat-Ease 360 software, a quadratic model, exhibiting an excellent fit
with an adjusted R-squared of 0.6862, was developed to describe the relationship between dosage and
contact time on lead removal efficiency. RSM identified an optimal melon husk dosage of 0.64 g and a
contact time of 49 minutes. However, Pyomo optimization revealed a slightly more efficient
configuration with an optimal dosage of 0.63 g and a contact time of 44.8 minutes. This suggests that
Pyomo may be a more effective tool for predicting the optimal conditions in this particular application.