Optimization of batch conditions for COD and ammonia nitrogen removal using cockle shells through response surface methodology
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...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTHM
2018
|
| Subjects: | |
| 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 |
| _version_ | 1796869283324624896 |
|---|---|
| author | Daud, Zawawi Abubakar, Mahmoud Hijab Awang, Halizah Ahmed, Zainab Belel Rosli, Mohd Arif Ridzuan, Mohd Baharudin Aliyu, Ruwaida Tajarudin, Husnul Azan |
| author_facet | Daud, Zawawi Abubakar, Mahmoud Hijab Awang, Halizah Ahmed, Zainab Belel Rosli, Mohd Arif Ridzuan, Mohd Baharudin Aliyu, Ruwaida Tajarudin, Husnul Azan |
| author_sort | Daud, Zawawi |
| collection | UTHM |
| description | 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. |
| first_indexed | 2024-03-05T21:52:33Z |
| format | Article |
| id | uthm.eprints-5949 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:52:33Z |
| publishDate | 2018 |
| publisher | Penerbit UTHM |
| record_format | dspace |
| spelling | uthm.eprints-59492022-01-25T01:21:16Z http://eprints.uthm.edu.my/5949/ Optimization of batch conditions for COD and ammonia nitrogen removal using cockle shells through response surface methodology Daud, Zawawi Abubakar, Mahmoud Hijab Awang, Halizah Ahmed, Zainab Belel Rosli, Mohd Arif Ridzuan, Mohd Baharudin Aliyu, Ruwaida Tajarudin, Husnul Azan TP155-156 Chemical engineering 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. Penerbit UTHM 2018 Article PeerReviewed text en 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 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 |
| spellingShingle | TP155-156 Chemical engineering Daud, Zawawi Abubakar, Mahmoud Hijab Awang, Halizah Ahmed, Zainab Belel Rosli, Mohd Arif Ridzuan, Mohd Baharudin Aliyu, Ruwaida Tajarudin, Husnul Azan Optimization of batch conditions for COD and ammonia nitrogen removal using cockle shells through response surface methodology |
| title | Optimization of batch conditions for COD and ammonia nitrogen removal using cockle shells through response surface methodology |
| title_full | Optimization of batch conditions for COD and ammonia nitrogen removal using cockle shells through response surface methodology |
| title_fullStr | Optimization of batch conditions for COD and ammonia nitrogen removal using cockle shells through response surface methodology |
| title_full_unstemmed | Optimization of batch conditions for COD and ammonia nitrogen removal using cockle shells through response surface methodology |
| title_short | Optimization of batch conditions for COD and ammonia nitrogen removal using cockle shells through response surface methodology |
| title_sort | optimization of batch conditions for cod and ammonia nitrogen removal using cockle shells through response surface methodology |
| topic | TP155-156 Chemical engineering |
| url | 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 |
| work_keys_str_mv | AT daudzawawi optimizationofbatchconditionsforcodandammonianitrogenremovalusingcockleshellsthroughresponsesurfacemethodology AT abubakarmahmoudhijab optimizationofbatchconditionsforcodandammonianitrogenremovalusingcockleshellsthroughresponsesurfacemethodology AT awanghalizah optimizationofbatchconditionsforcodandammonianitrogenremovalusingcockleshellsthroughresponsesurfacemethodology AT ahmedzainabbelel optimizationofbatchconditionsforcodandammonianitrogenremovalusingcockleshellsthroughresponsesurfacemethodology AT roslimohdarif optimizationofbatchconditionsforcodandammonianitrogenremovalusingcockleshellsthroughresponsesurfacemethodology AT ridzuanmohdbaharudin optimizationofbatchconditionsforcodandammonianitrogenremovalusingcockleshellsthroughresponsesurfacemethodology AT aliyuruwaida optimizationofbatchconditionsforcodandammonianitrogenremovalusingcockleshellsthroughresponsesurfacemethodology AT tajarudinhusnulazan optimizationofbatchconditionsforcodandammonianitrogenremovalusingcockleshellsthroughresponsesurfacemethodology |