Nutrients elimination from meat processing wastewater using Scenedesmus sp.; optimizations; artificial neural network and kinetics models
The potential of an algae-based system as an environmentally friendly and low-cost wa�ter treatment method to eliminate contaminants from water bodies has been considered. The purpose of this research was to see how effective Scenedesmus sp is in eliminating nutrients from meat processing wastewat...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/7233/1/J14263_12e90daa24d15e91e3f6418f336fb4b1.pdf |
| _version_ | 1825710340248174592 |
|---|---|
| author | Ahmad Latiffi, Nur Atikah Radin Mohamed, Radin Maya Saphira Al-Gheethi, Adel Tajuddin, R. M. Al-Shaibani, Muhanna M. N. Vo, Dai-Viet Rupani, Parveen Fatemeh |
| author_facet | Ahmad Latiffi, Nur Atikah Radin Mohamed, Radin Maya Saphira Al-Gheethi, Adel Tajuddin, R. M. Al-Shaibani, Muhanna M. N. Vo, Dai-Viet Rupani, Parveen Fatemeh |
| author_sort | Ahmad Latiffi, Nur Atikah |
| collection | UTHM |
| description | The potential of an algae-based system as an environmentally friendly and low-cost wa�ter treatment method to eliminate contaminants from water bodies has been considered.
The purpose of this research was to see how effective Scenedesmus sp is in eliminating
nutrients from meat processing wastewater (MPWW) throughout the phycoremediation
process. Response surface methodology (RSM) and an artificial neural network (ANN)
model were applied to improve the inactivation process as a function of cell concentra�tions (3–7 log10 CFU/mL) and time (1–13 days). At 103
to 107
cell/mL of Scenedesmus sp.,
phycoremediation was carried out at atmospheric temperature (28 ± 2
◦C, ±2500lux
for 12:12 h of light/dark and pH 8). The findings documented 73.76% as the highest
removal efficacy of total nitrogen (TN) and 77.85% of total phosphorus (TP), 75.40% of
ammonia nitrogen (NH4-H), 77.88% of orthophosphate (PO3−
4
), and 64.97% of chemical
oxygen demand (COD). The ANN revealed that both factors contribute significantly to
the nutrient removal process. The batch kinetic coefficients of NH4-H removal were
Km = 40.10 mg/L and k = 1.43 mg mg −1Chl a d
−1
. Meanwhile, for PO3−
4
, 1.07 mg
mg −1Chl a d−1
, as well as 42.80 mg/L, were obtained. The NH4-N yield coefficient of
NH4-N was Yn = 0.0192 mg Chl a mg −1 while PO3−
4 was equal to Yp = 0.0409 mg Chl a
mg −1
. These findings indicated successful use of Scenedesmus sp. for efficient pollutant
removal from meat processing wastewater plants. |
| first_indexed | 2024-03-05T21:56:07Z |
| format | Article |
| id | uthm.eprints-7233 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:56:07Z |
| publishDate | 2022 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | uthm.eprints-72332022-07-05T01:42:49Z http://eprints.uthm.edu.my/7233/ Nutrients elimination from meat processing wastewater using Scenedesmus sp.; optimizations; artificial neural network and kinetics models Ahmad Latiffi, Nur Atikah Radin Mohamed, Radin Maya Saphira Al-Gheethi, Adel Tajuddin, R. M. Al-Shaibani, Muhanna M. N. Vo, Dai-Viet Rupani, Parveen Fatemeh TP248.13-248.65 Biotechnology The potential of an algae-based system as an environmentally friendly and low-cost wa�ter treatment method to eliminate contaminants from water bodies has been considered. The purpose of this research was to see how effective Scenedesmus sp is in eliminating nutrients from meat processing wastewater (MPWW) throughout the phycoremediation process. Response surface methodology (RSM) and an artificial neural network (ANN) model were applied to improve the inactivation process as a function of cell concentra�tions (3–7 log10 CFU/mL) and time (1–13 days). At 103 to 107 cell/mL of Scenedesmus sp., phycoremediation was carried out at atmospheric temperature (28 ± 2 ◦C, ±2500lux for 12:12 h of light/dark and pH 8). The findings documented 73.76% as the highest removal efficacy of total nitrogen (TN) and 77.85% of total phosphorus (TP), 75.40% of ammonia nitrogen (NH4-H), 77.88% of orthophosphate (PO3− 4 ), and 64.97% of chemical oxygen demand (COD). The ANN revealed that both factors contribute significantly to the nutrient removal process. The batch kinetic coefficients of NH4-H removal were Km = 40.10 mg/L and k = 1.43 mg mg −1Chl a d −1 . Meanwhile, for PO3− 4 , 1.07 mg mg −1Chl a d−1 , as well as 42.80 mg/L, were obtained. The NH4-N yield coefficient of NH4-N was Yn = 0.0192 mg Chl a mg −1 while PO3− 4 was equal to Yp = 0.0409 mg Chl a mg −1 . These findings indicated successful use of Scenedesmus sp. for efficient pollutant removal from meat processing wastewater plants. Elsevier 2022 Article PeerReviewed text en http://eprints.uthm.edu.my/7233/1/J14263_12e90daa24d15e91e3f6418f336fb4b1.pdf Ahmad Latiffi, Nur Atikah and Radin Mohamed, Radin Maya Saphira and Al-Gheethi, Adel and Tajuddin, R. M. and Al-Shaibani, Muhanna M. and N. Vo, Dai-Viet and Rupani, Parveen Fatemeh (2022) Nutrients elimination from meat processing wastewater using Scenedesmus sp.; optimizations; artificial neural network and kinetics models. Environmental Technology & Innovation, 26. pp. 1-11. ISSN 2352-1864 https://doi.org/10.1016/j.eti.2022.102535 |
| spellingShingle | TP248.13-248.65 Biotechnology Ahmad Latiffi, Nur Atikah Radin Mohamed, Radin Maya Saphira Al-Gheethi, Adel Tajuddin, R. M. Al-Shaibani, Muhanna M. N. Vo, Dai-Viet Rupani, Parveen Fatemeh Nutrients elimination from meat processing wastewater using Scenedesmus sp.; optimizations; artificial neural network and kinetics models |
| title | Nutrients elimination from meat processing wastewater using
Scenedesmus sp.; optimizations; artificial neural network and
kinetics models |
| title_full | Nutrients elimination from meat processing wastewater using
Scenedesmus sp.; optimizations; artificial neural network and
kinetics models |
| title_fullStr | Nutrients elimination from meat processing wastewater using
Scenedesmus sp.; optimizations; artificial neural network and
kinetics models |
| title_full_unstemmed | Nutrients elimination from meat processing wastewater using
Scenedesmus sp.; optimizations; artificial neural network and
kinetics models |
| title_short | Nutrients elimination from meat processing wastewater using
Scenedesmus sp.; optimizations; artificial neural network and
kinetics models |
| title_sort | nutrients elimination from meat processing wastewater using scenedesmus sp optimizations artificial neural network and kinetics models |
| topic | TP248.13-248.65 Biotechnology |
| url | http://eprints.uthm.edu.my/7233/1/J14263_12e90daa24d15e91e3f6418f336fb4b1.pdf |
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