Optimization of culturing conditions for isolated Arthrobacter sp. ZXY-2, an effective atrazine-degrading and salt-adaptive bacterium

Title

Optimization of culturing conditions for isolated Arthrobacter sp. ZXY-2, an effective atrazine-degrading and salt-adaptive bacterium

 Author

Zhao, X. (TU Delft Sanitary Engineering; Harbin Institute of Technology)
Wang, Li (Harbin Institute of Technology)
Du, Linna (Wenzhou Vocational College of Science and Technology)
Yang, Jixian (Harbin Institute of Technology)
Dong, Jing (Harbin Institute of Technology)
Ma, Fang (Harbin Institute of Technology)

Date

2017-06-30

 Abstract

The increasing salinity in aquatic environments has had a negative impact on the biodegradation of atrazine, an extensively used herbicide which has been proven to pollute soil and water ecosystems. In the present study, a novel atrazine-degrading strain (ZXY-2) was isolated from industrial wastewater and identified as the Arthrobacter genus with the 16S rRNA gene. Results indicated that the strain showed a high salinity tolerance, and was able to tolerate NaCl concentrations up to 10% (w/w). Plackett–Burman (PB) multifactorial design and response surface methodology (RSM) were then employed to optimize the culturing conditions. Results showed that among the selected fifteen factors, six contributing factors were obtained. Subsequently, by employing the RSM to model and optimize atrazine degradation, a biodegradation efficiency of 12.73 mg L−1 h−1 was reached under optimal conditions (34.04 °C, pH 9.0, inoculum size 10% (v/v), 2.212 g L−1 of sucrose, 6 g L−1 of Na2HPO4·12H2O, and 50 mg L−1 of atrazine). In addition, a statistically quadratic polynomial mathematical model was suggested (R2 = 0.9873). In contrast to other atrazine-degrading bacteria, ZXY-2 appears to be adapted to life under high salinity conditions and sustains excellent atrazine degradation performance. Therefore it could potentially be applied in atrazine bioremediation.

 To reference this document use:

http://resolver.tudelft.nl/uuid:d7a38a53-828d-4822-b565-c4b9cb424434

 DOI

https://doi.org/10.1039/C7RA04661H

 ISSN

2046-2069

 Source

RSC Advances, 7, 33177–33184

 Part of collection

Institutional Repository

 Document type

journal article

 Rights

© 2017 X. Zhao, Li Wang, Linna Du, Jixian Yang, Jing Dong, Fang Ma
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