Journal
JOURNAL OF HAZARDOUS MATERIALS
Volume 425, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.jhazmat.2021.128036
Keywords
Levofloxacin; Chromochloris zofingiensis; Photoautotrophic; Heterotrophic; Biodegradation
Categories
Funding
- National Science Foun-dation of Guangdong Province, China [2021A1515012589]
- Fund of Guangdong Research and Construction of Public Service Abili-ties [2017B020218004]
Ask authors/readers for more resources
The study found that heterotrophic Chromochloris zofingiensis had significantly higher removal efficiency of levofloxacin compared to photoautotrophic conditions, indicating its potential for more effective treatment of antibiotic-contaminated wastewater.
Microalgae-based technology is an environmental-friendly and cost-effective method for treating antibioticscontaminated wastewater. This work investigated the removal of levofloxacin (LEV) by an oleaginous microalgae Chromochloris zofingiensis under photoautotrophic and heterotrophic conditions. The results showed that the significantly higher biomass production, accumulation of extracellular polymeric substance and LEV removal efficiency were achieved in heterotrophic C. zofingiensis compared with the photoautotrophic ones. The removal efficiencies under the heterotrophic condition were 97%, 88% and 76% at 1, 10, and 100 mg/L LEV, respectively. HPLC-MS/MS and RNA-Seq analyses suggested that LEV could be bioaccumulated and biodegraded by heterotrophic C. zofingiensis through the reactions of defluorination, hydroxylation, demethylation, ring cleavage, oxidation, dehydrogenation, denitrification, and decarboxylation. The chemical composition of the algal biomass obtained after LEV treatment indicated the potential of this alga for removing LEV from wastewaters and simultaneously producing biodiesel, astaxanthin, and other products. Collectively, this research shows that the heterotrophic C. zofingiensis can be identified as a promising candidate for removing LEV in wastewater remediation.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available