Enzymatic Cascade Catalysis in a Nanofiltration Membrane: Engineering the Microenvironment by Synergism of Separation and Reaction
Source abstract
Abstract
Microenvironment plays a significant role in enzymatic catalysis, which directly influences enzyme activity and stability. It is important to regulate the enzyme microenvironment, especially for the liquid with unfavored properties (e.g., pH and dissolved oxygen). In this work, we propose a methodology that can regulate pH and substrate concentration for enzymatic catalysis by a biocatalytic membrane, which is composed of glucose oxidase (GOx) and horseradish peroxidase (HRP) co-immobilized in a polyamide nanofiltration (NF) membrane (i.e., beneath the separation layer). By virtue of the selective separation function of NF membrane and in situ production of organic acid/electron donor with GOx, a synergism effect of separation and reaction in the liquid/solid interface was manipulated for engineering the microenvironment of HRP to enhance its activity and stability for micropollutant removal in water. The outcome of this work not only provides a new methodology to precisely control enzymatic reaction but also offers a smart membrane system to efficiently and steadily remove the micropollutants in portable water.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Electrochemical sensors and biosensors · Enzyme Catalysis and Immobilization · Enzyme-mediated dye degradation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, P.R. China
School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, PR China
Funding
Natural Science Foundation of Beijing Municipality · Youth Innovation Promotion Association of the Chinese Academy of Sciences
References (55)
Show source-provided references
1. 10.1016/j.memsci.2017.11.07510.1016/j.memsci.2017.11.075 ↗
2. 10.1021/acs.est.6b0087710.1021/acs.est.6b00877 ↗
3. 10.1016/j.cej.2017.05.14310.1016/j.cej.2017.05.143 ↗
4. 10.1016/j.watres.2016.01.00110.1016/j.watres.2016.01.001 ↗
5. 10.1021/acsami.8b0921810.1021/acsami.8b09218 ↗
6. 10.1016/j.desal.2010.03.01610.1016/j.desal.2010.03.016 ↗
7. 10.2166/wst.2008.71110.2166/wst.2008.711 ↗
8. 10.1016/j.memsci.2014.11.04410.1016/j.memsci.2014.11.044 ↗
9. 10.1016/j.watres.2015.01.01210.1016/j.watres.2015.01.012 ↗
10. 10.1016/j.cej.2018.04.20310.1016/j.cej.2018.04.203 ↗
11. 10.1016/j.cej.2014.09.07210.1016/j.cej.2014.09.072 ↗
12. 10.1016/j.cej.2013.02.07410.1016/j.cej.2013.02.074 ↗
13. 10.1016/j.cej.2017.12.04210.1016/j.cej.2017.12.042 ↗
14. 10.1002/anie.20170398010.1002/anie.201703980 ↗
15. 10.1016/j.biotechadv.2010.05.00210.1016/j.biotechadv.2010.05.002 ↗
16. 10.1021/ie500302p10.1021/ie500302p ↗
17. 10.1016/j.memsci.2014.06.01110.1016/j.memsci.2014.06.011 ↗
18. 10.1039/C3GC41456F10.1039/C3GC41456F ↗
19. 10.1016/j.procbio.2011.02.00410.1016/j.procbio.2011.02.004 ↗
20. 10.1039/C3NR04425D10.1039/C3NR04425D ↗
21. 10.1039/C6CC09809F10.1039/C6CC09809F ↗
22. 10.1039/C5EE01189B10.1039/C5EE01189B ↗
23. 10.1039/C7CS00914C10.1039/C7CS00914C ↗
24. 10.1039/C4CC05478D10.1039/C4CC05478D ↗
25. 10.1002/ange.20070112510.1002/ange.200701125 ↗
26. 10.1039/C4CC05478D10.1039/C4CC05478D ↗
27. 10.1021/acsami.5b0439810.1021/acsami.5b04398 ↗
28. 10.1039/c3cs35511j10.1039/c3cs35511j ↗
29. 10.1039/C3CS60075K10.1039/C3CS60075K ↗
30. 10.1039/C4CC05809G10.1039/C4CC05809G ↗
31. 10.1039/C1NR11153A10.1039/C1NR11153A ↗
32. 10.1039/c4tb00440j10.1039/c4tb00440j ↗
33. 10.1016/j.nbt.2015.02.00610.1016/j.nbt.2015.02.006 ↗
34. 10.1002/anie.20160560910.1002/anie.201605609 ↗
35. 10.1021/la061124d10.1021/la061124d ↗
36. 10.1021/acsami.8b0794510.1021/acsami.8b07945 ↗
37. 10.1021/acsami.7b1401710.1021/acsami.7b14017 ↗
38. 10.1016/j.memsci.2019.04.00810.1016/j.memsci.2019.04.008 ↗
39. 10.1016/j.memsci.2018.03.06210.1016/j.memsci.2018.03.062 ↗
40. 10.1021/acsami.6b1082310.1021/acsami.6b10823 ↗
41. 10.1002/adfm.20170532710.1002/adfm.201705327 ↗
42. 10.1002/app.4379210.1002/app.43792 ↗
43. 10.1039/C4CC08489F10.1039/C4CC08489F ↗
44. 10.1016/j.memsci.2013.03.02910.1016/j.memsci.2013.03.029 ↗
45. 10.1021/acsami.7b0855310.1021/acsami.7b08553 ↗
46. 10.1021/acs.langmuir.7b0286010.1021/acs.langmuir.7b02860 ↗
47. 10.1016/j.bios.2014.09.04210.1016/j.bios.2014.09.042 ↗
48. 10.1016/j.chemosphere.2011.06.02110.1016/j.chemosphere.2011.06.021 ↗
49. Schumb W. C. · 1955
50. 10.1021/es00061a02510.1021/es00061a025 ↗
51. 10.1002/anie.20171041810.1002/anie.201710418 ↗
52. 10.1016/j.memsci.2016.08.05610.1016/j.memsci.2016.08.056 ↗
53. 10.1016/j.memsci.2014.06.02710.1016/j.memsci.2014.06.027 ↗
54. 10.1016/j.biortech.2014.07.03110.1016/j.biortech.2014.07.031 ↗
55. 10.1016/j.cej.2017.06.17210.1016/j.cej.2017.06.172 ↗