Latest Issue
Effect of Different Irrigation Methods on Water Use Efficiency in Rice Soil Column Test
Published: April 30,2025Optimization of Extraction Condition for Oleoresin from Red Pepper Residues
Published: April 30,2025Bus Arrival Time Prediction Using Machine Learning Approaches
Published: April 30,2025A Deep Learning Approach for Identifying Individuals Based on Their Handwriting
Published: April 30,2025Khmer Question-Answering Model by Fine-tuning Pre-trained Model
Published: April 30,2025CNN-based Reinforcement Learning with Policy Gradient for Khmer Chess
Published: April 30,2025Optimization of the biodegradation of 17-α-ethynylestradiol (EE2) using response surface methodology
-
1. Department of Chemical Engineering and Food Technology, Institute of Technology of Cambodia, Russian Ferderation Blvd., P.O. Box 86, Phnom Penh, Cambodia.
Academic Editor:
Received: June 01,2014 / Revised: / Accepted: June 08,2014 / Available online: June 27,2014
17-α-ethynylestradiol (EE2) biodegradation was conducted using biofilm reactor in a medium containing both EE2 and glucose as organic carbon sources and in a medium without glucose and EE2 as the sole organic carbon source. The factors affecting the biodegradation are initial pH, initial EE2 concentration, initial nitrogen content, and biomass volume. Response surface methodology (RSM) and central composite design (CCD) were applied to determine the optimum operating conditions with the % degradation and the degradation efficiency as responses. The ANOVA revealed that EE2 concentration is the most significant factor that influences the % degradation and the biomass volume is the most significant factor that influences the degradation efficiency. Verification runs at optimum conditions showed that there were some peaks that appeared besides the peak of EE2 indicating that EE2 was biochemically transformed. The Monod kinetic and first order suit well for the EE2 biodegradation.