331
Views
8
CrossRef citations to date
0
Altmetric
Articles

Investigation on phenol degradation capability of Scenedesmus regularis: influence of process parameters

, &
Pages 1065-1073 | Received 17 Apr 2018, Accepted 02 Sep 2018, Published online: 19 Sep 2018
 

ABSTRACT

Phenol removal from environmental solutions has attracted much attention due to phenol’s high toxicity, even at low concentrations. This study aims to reveal the phenol biodegradation capacity of Scenedesmus regularis. Batch system parameters (pH, amount of algal cell, phenol concentration) on biodegradation were examined. After 24 h of treatment, 92.16, 94.50, 96.20, 80.53, 65.32, 52 and 40% of phenol were removed by Scenedesmus regularis in aqueous solutions containing 5, 10, 15, 20, 30, 40 and 50 mg/L of phenol, respectively. To describe the correlation between degradation rate and phenol concentration, the Michaelis–Menten kinetic equation was used where Vmax and Km are 0.82 mg phenol g algea−1 h−1 and 24.97 ppm, respectively. Phenol remediation ability of S.regularis can enable the usage of the spent biomass as biofuel feedstock and animal feed makes it a ‘green’ environmental sustainable process.

GRAPHICAL ABSTRACT

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The authors gratefully thank Kırıkkale University Research Fund for their financial support about language assessment, Project Number: 2016/001-339(2016/001).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 223.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.