Contaminant Removal from Wastewater by Microalgal Photobioreactors and Modeling by Artificial Neural Network
The potential of microalgal photobioreactors in removing total ammonia nitrogen (TAN), chemical oxygen demand (COD), caffeine (CAF), and N,N-diethyl-m-toluamide (DEET) from synthetic wastewater was studied. Chlorella vulgaris achieved maximum removal of 62.2% TAN, 52.8% COD, 62.7% CAF, and 51.8% DEE...
| Published in: | Water (Switzerland) |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI
2022
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144604976&doi=10.3390%2fw14244046&partnerID=40&md5=621851a4c6f93f6a0a988bc1f1efb19a |