Optimization of batch conditions for COD and ammonia nitrogen removal using cockle shells through response surface methodology

• Main Authors: Daud, Zawawi, Abubakar, Mahmoud Hijab, Awang, Halizah, Ahmed, Zainab Belel, Rosli, Mohd Arif, Ridzuan, Mohd Baharudin, Aliyu, Ruwaida, Tajarudin, Husnul Azan
• Format: Article
• Language: English
• Published: Penerbit UTHM 2018
• Subjects: TP155-156 Chemical engineering
• Online Access: http://eprints.uthm.edu.my/5949/1/AJ%202018%20%28947%29%20Optimization%20of%20batch%20conditions%20for%20COD%20and%20ammonia%20nitrogen%20removal%20using%20cockle%20shells%20through%20response%20surface%20methodology.pdf; http://eprints.uthm.edu.my/5949/
• Institution: Universiti Tun Hussein Onn Malaysia

The optimal conditions for the reduction of COD and NH3-N using cockle shells (CS) from a stabilised landfill effluent were analyzed. The influence of two variables (adsorbent dosage and pH) were analysed through the application of response surface methodology (RSM) and central composite design (CCD). Quadratic models were developed for the removals of COD and NH3-N parameters. The optimum conditions for removal of 65.6% and 53.6% for COD and NH3-N respectively was achieved at pH 6.34, adsorbent dosage of 20.21 g having 0.888 desirability value. The model F-value obtained for NH3-N removal Prob. > F value of 0.0001 with F-value of 104.21 was obtained. Similarly the Prob. > F value of < 0.0001 for COD with F-value of 82.74 was obtained, these P-values confirmed the significance of the model. The predicted response versus the experimental response depicted that the experimental data were relatively close to the predicted data. Thus, the generated models significantly enclosed the correlation between the process variables and the response.