4-chlorophenol removal by air lift packed bed bioreactor and its modeling by kinetics and numerical model (artificial neural network)
Abstract 4-chlorophenol (4-CP) is a hazardous contaminant that is hardly removed by some technologies. This study investigated the biodegradation, and physical 4-CP removal by a mixed microbial consortium in the Airlift packed bed bioreactor (ALPBB) and modeling by an artificial neural network (ANN)...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-020-79968-7 |
| _version_ | 1818734095232925696 |
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| author | Elahe Azizi Fariba Abbasi Mohammad Ali Baghapour Mohammad Reza Shirdareh Mohammad Reza Shooshtarian |
| author_facet | Elahe Azizi Fariba Abbasi Mohammad Ali Baghapour Mohammad Reza Shirdareh Mohammad Reza Shooshtarian |
| author_sort | Elahe Azizi |
| collection | DOAJ |
| description | Abstract 4-chlorophenol (4-CP) is a hazardous contaminant that is hardly removed by some technologies. This study investigated the biodegradation, and physical 4-CP removal by a mixed microbial consortium in the Airlift packed bed bioreactor (ALPBB) and modeling by an artificial neural network (ANN) for first the time. The removal efficiency of ALPBB was investigated at 4-CP(1-1000 mg/L) and hydraulic retention time (HRT)(6-96 hr) by HPLC. The results showed that removal efficiency decreased from 85 at 1 to 0.03% at 1000 mg/L, with increasing 4-CP concentration and HRT decreasing. BOD5/COD increased with increasing exposure time and concentration decreasing, from 0.05 at 1000 to 0.96 at 1 mg/L. With time increasing, the correlation between COD and 4-CP removal increased (R2 = 0.5, HRT = 96 h). There was a positive correlation between the removal of 4-CP and SCOD by curve fitting was R2 = 0.93 and 0.96, respectively. Moreover, the kinetics of 4-CP removal follows the first-order and pseudo-first-order equation at 1 mg/L and other concentrations, respectively. 4-CP removal modeling has shown that the 2:3:1 and 2:4:1 were the best structures (MSE: physical = 0.126 and biological = 0.9)(R2 allphysical = 0.999 and R2 testphysical = 0.999) and (R2 allbiological = 0.71, and R2 testbiological = 0.997) for 4-CP removal. Also, the output obtained by the ANN prediction of 4-CP was correlated to the actual data (R2 physical = 0.9997 and R2 biological = 0.59). Based on the results, ALPBB with up-flow submerged aeration is a suitable option for the lower concentration of 4-CP, but it had less efficiency at high concentrations. So, physical removal of 4-CP was predominant in biological treatment. Therefore, the modification of this reactor for 4-CP removal is suggested at high concentrations. |
| first_indexed | 2024-12-17T23:59:54Z |
| format | Article |
| id | doaj.art-4f81038892584cb7b567ce25277eab84 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-17T23:59:54Z |
| publishDate | 2021-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-4f81038892584cb7b567ce25277eab842022-12-21T21:27:59ZengNature PortfolioScientific Reports2045-23222021-01-0111111010.1038/s41598-020-79968-74-chlorophenol removal by air lift packed bed bioreactor and its modeling by kinetics and numerical model (artificial neural network)Elahe Azizi0Fariba Abbasi1Mohammad Ali Baghapour2Mohammad Reza Shirdareh3Mohammad Reza Shooshtarian4Department of Environmental Health Engineering, Shiraz University of Medical ScienceDepartment of Environmental Health Engineering, Shiraz University of Medical ScienceDepartment of Environmental Health Engineering, Shiraz University of Medical ScienceDepartment of Environmental Health Engineering, Shiraz University of Medical ScienceDepartment of Environmental Health Engineering, Shiraz University of Medical ScienceAbstract 4-chlorophenol (4-CP) is a hazardous contaminant that is hardly removed by some technologies. This study investigated the biodegradation, and physical 4-CP removal by a mixed microbial consortium in the Airlift packed bed bioreactor (ALPBB) and modeling by an artificial neural network (ANN) for first the time. The removal efficiency of ALPBB was investigated at 4-CP(1-1000 mg/L) and hydraulic retention time (HRT)(6-96 hr) by HPLC. The results showed that removal efficiency decreased from 85 at 1 to 0.03% at 1000 mg/L, with increasing 4-CP concentration and HRT decreasing. BOD5/COD increased with increasing exposure time and concentration decreasing, from 0.05 at 1000 to 0.96 at 1 mg/L. With time increasing, the correlation between COD and 4-CP removal increased (R2 = 0.5, HRT = 96 h). There was a positive correlation between the removal of 4-CP and SCOD by curve fitting was R2 = 0.93 and 0.96, respectively. Moreover, the kinetics of 4-CP removal follows the first-order and pseudo-first-order equation at 1 mg/L and other concentrations, respectively. 4-CP removal modeling has shown that the 2:3:1 and 2:4:1 were the best structures (MSE: physical = 0.126 and biological = 0.9)(R2 allphysical = 0.999 and R2 testphysical = 0.999) and (R2 allbiological = 0.71, and R2 testbiological = 0.997) for 4-CP removal. Also, the output obtained by the ANN prediction of 4-CP was correlated to the actual data (R2 physical = 0.9997 and R2 biological = 0.59). Based on the results, ALPBB with up-flow submerged aeration is a suitable option for the lower concentration of 4-CP, but it had less efficiency at high concentrations. So, physical removal of 4-CP was predominant in biological treatment. Therefore, the modification of this reactor for 4-CP removal is suggested at high concentrations.https://doi.org/10.1038/s41598-020-79968-7 |
| spellingShingle | Elahe Azizi Fariba Abbasi Mohammad Ali Baghapour Mohammad Reza Shirdareh Mohammad Reza Shooshtarian 4-chlorophenol removal by air lift packed bed bioreactor and its modeling by kinetics and numerical model (artificial neural network) Scientific Reports |
| title | 4-chlorophenol removal by air lift packed bed bioreactor and its modeling by kinetics and numerical model (artificial neural network) |
| title_full | 4-chlorophenol removal by air lift packed bed bioreactor and its modeling by kinetics and numerical model (artificial neural network) |
| title_fullStr | 4-chlorophenol removal by air lift packed bed bioreactor and its modeling by kinetics and numerical model (artificial neural network) |
| title_full_unstemmed | 4-chlorophenol removal by air lift packed bed bioreactor and its modeling by kinetics and numerical model (artificial neural network) |
| title_short | 4-chlorophenol removal by air lift packed bed bioreactor and its modeling by kinetics and numerical model (artificial neural network) |
| title_sort | 4 chlorophenol removal by air lift packed bed bioreactor and its modeling by kinetics and numerical model artificial neural network |
| url | https://doi.org/10.1038/s41598-020-79968-7 |
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