Journal of Microbiology and Biotechnology

The Korean Society for Microbiology and Biotechnology (한국미생물·생명공학회)
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Laccase Immobilization on Copper-Magnetic Nanoparticles for Efficient Bisphenol Degradation

  • Sanjay K. S. Patel (Department of Chemical Engineering, Konkuk University) ;
  • Vipin C. Kalia (Department of Chemical Engineering, Konkuk University) ;
  • Jung-Kul Lee (Department of Chemical Engineering, Konkuk University)
  • Received : 2022.10.19
  • Accepted : 2022.11.05
  • Published : 2023.01.28
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Abstract

Laccase activity is influenced by copper (Cu) as an inducer. In this study, laccase was immobilized on Cu and Cu-magnetic (Cu/Fe2O4) nanoparticles (NPs) to improve enzyme stability and potential applications. The Cu/Fe2O4 NPs functionally activated by 3-aminopropyltriethoxysilane and glutaraldehyde exhibited an immobilization yield and relative activity (RA) of 93.1 and 140%, respectively. Under optimized conditions, Cu/Fe2O4 NPs showed high loading of laccase up to 285 mg/g of support and maximum RA of 140% at a pH 5.0 after 24 h of incubation (4℃). Immobilized laccase, as Cu/Fe2O4-laccase, had a higher optimum pH (4.0) and temperature (45℃) than those of a free enzyme. The pH and temperature profiles were significantly improved through immobilization. Cu/Fe2O4-laccase exhibited 25-fold higher thermal stability at 65℃ and retained residual activity of 91.8% after 10 cycles of reuse. The degradation of bisphenols was 3.9-fold higher with Cu/Fe2O4-laccase than that with the free enzyme. To the best of our knowledge, Rhus vernicifera laccase immobilization on Cu or Cu/Fe2O4 NPs has not yet been reported. This investigation revealed that laccase immobilization on Cu/Fe2O4 NPs is desirable for efficient enzyme loading and high relative activity, with remarkable bisphenol A degradation potential.

Keywords

Acknowledgement

This study was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2019R1C1C11009766, 2021R1I1A1A01060963, and 2021H1D3A2A01099705). This work was also supported by the KU Research Professor Program of Konkuk University.

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