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

Daud, Zawawi and Abubakar, Mahmoud Hijab and Awang, Halizah and Ahmed, Zainab Belel and Rosli, Mohd Arif and Ridzuan, Mohd Baharudin and Aliyu, Ruwaida and Tajarudin, Husnul Azan (2018) Optimization of batch conditions for COD and ammonia nitrogen removal using cockle shells through response surface methodology. International Journal of Integrated Engineering, 10 (9). pp. 72-78. ISSN 2229-838X

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Cockle shells; Response surface methodology; Central composite design; COD and NH3-N
Subjects:	T Technology > TP Chemical technology > TP155-156 Chemical engineering
Divisions:	Faculty of Technical and Vocational Education > Department of Professional Education and Postgraduates
Depositing User:	UiTM Student Praktikal
Date Deposited:	25 Jan 2022 01:21
Last Modified:	25 Jan 2022 01:21
URI:	http://eprints.uthm.edu.my/id/eprint/5949

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