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Evaluation of modified basalt fiber as biological carrier media for wastewater treatment with the extended DLVO theory model

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Abstract

In this study, environment-friendly inorganic basalt fiber (BF) was used as bio-carrier for wastewater treatment. To enhance the bio-affinity, raw BF was modified by grafting the diethylamino functional groups to make the surface more hydrophilic and electro-positive. Contact angle and zeta potential of modified basalt fiber (MBF) were characterized. The capacity of MBF bio-carriers was evaluated by microorganism immobilization tests. To explain the mechanism of capacity enhancement by modification, the profiles of total interaction energy barrier between raw BF (or MBF) and bacteria (Escherichia coli, E. coli) were discussed based on the extended Derjaguin–Landau–Verwey–Overbeek (DLVO) theory. The results showed the contact angle of fiber decreased from 89.71° to 63.08° after modification, and zeta potential increased from − 18.53 to +10.58 mV. The microorganism immobilization tests showed that the surface modification accelerated the initial bacterial adhesion on fiber. The total interaction energy barrier between MBF and E. coli disappeared as a result of electrostatic and hydrophilic attractive forces, and enhanced the irreversible adhesion. MBF bio-carrier medium provides a promising alternative to conventional bio-carrier materials for wastewater treatment.

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Funding

This work was financially supported by the National Key R&D Program of China (2016YFE0126400), National Natural Science Foundation of China (51808264), Senior Talent Fund of Jiangsu University (16JDG070 and 18JDG031), China Postdoctoral Science Foundation (2016M600377), Jiangsu Planned Projects for Postdoctoral Research Funds (1701057B), and the Key Research and Development Program of Jiangxi Province (20171BBH80008).

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Correspondence to Jing Wei or Zhiren Wu.

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Responsible editor: Bingcai Pan

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Zhang, X., Wei, J., Zhou, X. et al. Evaluation of modified basalt fiber as biological carrier media for wastewater treatment with the extended DLVO theory model. Environ Sci Pollut Res 26, 29789–29798 (2019). https://doi.org/10.1007/s11356-019-06133-7

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  • DOI: https://doi.org/10.1007/s11356-019-06133-7

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