Glucose Oxidase Loading in Ordered Porous Aluminosilicates: Exploring the Potential of Surface Modification for Electrochemical Glucose Sensing
Source abstract
Abstract
Enzymatic electrochemical sensors have become the leading glucose detection technology due to their rapid response, affordability, portability, selectivity, and sensitivity. However, the performance of these sensors is highly dependent on the surface properties of the electrode material used to store glucose oxidase and its ability to retain enzymatic activity under variable environmental conditions. Mesoporous thin films have recently attracted considerable attention as promising candidates for enzyme storage and activity preservation due to their well-defined nanoarchitecture and tunable surface properties. Herein, we systematically compare pathways for the immobilization of glucose oxidase (GOx) and their effectiveness in electrochemical glucose sensing, following modification protocols that lead to the electrostatic attraction (amino functionalization), covalent bonding (aldehyde functionalization), and electrostatic repulsion (oxygen plasma treatment) of the ordered porous aluminosilicate-coated electrodes. By direct comparison using a quartz crystal microbalance, we demonstrate that glucose oxidase can be loaded in a nanoarchitecture with a pore size of ∼50 nm and pore interconnections of ∼35 nm using the native aluminosilicate surface, as well as after amino or aldehyde surface modification, while oxygen plasma exposure of the native surface inhibits glucose oxidase loading. Despite a variety of routes for enzyme loading, quantitative electrochemical glucose sensing between 0 and 20 mM was only possible when the porous surface was functionalized with amino groups, which we relate to the role of surface chemistry in accessing the underlying substrate. Our results highlight the impact of rational surface modification on electrochemical biosensing performance and demonstrate the potential of tailoring porous nanoarchitecture surfaces for biosensing applications.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Electrochemical sensors and biosensors · Advanced biosensing and bioanalysis techniques · Electrochemical Analysis and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, U.K.
Department of Electronic & Electrical Engineering, University College London, Torrington Place, London WC1E 7JE, U.K.
Funding
Engineering and Physical Sciences Research Council
References (71)
Show source-provided references
1. 10.4103/2468-8827.18485310.4103/2468-8827.184853 ↗
2. 10.1159/00049758010.1159/000497580 ↗
3. Ståhl, F.; Johansson, R. Short-Term Diabetes Blood Glucose Prediction Based on Blood Glucose Measurements. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS’08─“Personalized Healthcare through Technology” ; IEEE Computer Society, 2008; pp 291–294. https://doi.org/10.1109/iembs.2008.4649147.10.1109/IEMBS.2008.4649147 ↗
4. 10.1038/nrendo.2016.1510.1038/nrendo.2016.15 ↗
5. 10.3389/fonc.2020.52033010.3389/fonc.2020.520330 ↗
6. 10.1186/s12944-017-0409-610.1186/s12944-017-0409-6 ↗
7. 10.1007/s10549-013-2519-910.1007/s10549-013-2519-9 ↗
8. 10.1016/S1474-4422(10)70065-X10.1016/S1474-4422(10)70065-X ↗
9. 10.1089/dia.2006.8.62710.1089/dia.2006.8.627 ↗
10. 10.1016/j.cell.2015.11.00110.1016/j.cell.2015.11.001 ↗
11. 10.1039/c1cs15063d10.1039/c1cs15063d ↗
12. 10.1136/jcp.1.1.3010.1136/jcp.1.1.30 ↗
13. 10.1016/j.clinbiochem.2009.08.02810.1016/j.clinbiochem.2009.08.028 ↗
14. 10.1021/cr068123a10.1021/cr068123a ↗
15. 10.1089/dia.2008.000510.1089/dia.2008.0005 ↗
16. 10.1016/j.biotechadv.2009.04.00310.1016/j.biotechadv.2009.04.003 ↗
17. 10.1021/ac00268a01810.1021/ac00268a018 ↗
18. 10.1016/j.ijbiomac.2019.12.03410.1016/j.ijbiomac.2019.12.034 ↗
19. 10.1177/19322968090030044610.1177/193229680900300446 ↗
20. 10.1016/j.snb.2010.10.02310.1016/j.snb.2010.10.023 ↗
21. 10.1038/s41596-020-0359-810.1038/s41596-020-0359-8 ↗
22. 10.1016/j.bioelechem.2012.02.00210.1016/j.bioelechem.2012.02.002 ↗
23. 10.1007/s00216-008-2250-210.1007/s00216-008-2250-2 ↗
24. 10.1002/adma.20030542410.1002/adma.200305424 ↗
25. 10.1016/j.electacta.2007.08.05710.1016/j.electacta.2007.08.057 ↗
26. 10.1002/elan.20150017210.1002/elan.201500172 ↗
27. 10.1021/acs.langmuir.2c0007410.1021/acs.langmuir.2c00074 ↗
28. 10.1016/j.bios.2020.11242910.1016/j.bios.2020.112429 ↗
29. 10.1039/c3cs60059a10.1039/c3cs60059a ↗
30. 10.1002/smll.20190402210.1002/smll.201904022 ↗
31. 10.1002/ADSC.20070008210.1002/ADSC.200700082 ↗
32. 10.1080/07388551.2018.153182210.1080/07388551.2018.1531822 ↗
33. 10.1039/c3cs60270b10.1039/c3cs60270b ↗
34. 10.1346/CCMN.1977.025060710.1346/CCMN.1977.0250607 ↗
35. 10.1016/j.trac.2012.06.00710.1016/j.trac.2012.06.007 ↗
36. 10.1016/j.molcatb.2005.02.00110.1016/j.molcatb.2005.02.001 ↗
37. 10.1016/j.bej.2014.07.01110.1016/j.bej.2014.07.011 ↗
38. 10.1016/j.bios.2007.10.01510.1016/j.bios.2007.10.015 ↗
39. 10.1021/ACSAMI.2C1809010.1021/ACSAMI.2C18090 ↗
40. 10.1021/acs.langmuir.9b0305910.1021/acs.langmuir.9b03059 ↗
41. 10.1039/d0nr05132b10.1039/d0nr05132b ↗
42. 10.1515/pac-2014-111710.1515/pac-2014-1117 ↗
43. 10.1002/adhm.20180014910.1002/adhm.201800149 ↗
44. 10.1021/am303248p10.1021/am303248p ↗
45. 10.1021/acs.langmuir.5b0450610.1021/acs.langmuir.5b04506 ↗
46. 10.1016/j.jcis.2015.01.09410.1016/j.jcis.2015.01.094 ↗
47. 10.1016/0166-6622(88)80090-810.1016/0166-6622(88)80090-8 ↗
48. 10.1021/cm034499i10.1021/cm034499i ↗
49. 10.1021/cr500094310.1021/cr5000943 ↗
50. 10.3390/ijms2103113710.3390/ijms21031137 ↗
51. 10.1116/1.337473810.1116/1.3374738 ↗
52. 10.1021/cm800597k10.1021/cm800597k ↗
53. 10.1021/ac201778h10.1021/ac201778h ↗
54. 10.1016/j.biocel.2004.10.01410.1016/j.biocel.2004.10.014 ↗
55. 10.1021/acsomega.3c0201310.1021/acsomega.3c02013 ↗
56. 10.1016/j.talanta.2005.04.05710.1016/j.talanta.2005.04.057 ↗
57. 10.1177/19322968110050050710.1177/193229681100500507 ↗
58. 10.1016/0956-5663(92)87013-F10.1016/0956-5663(92)87013-F ↗
59. 10.1007/s00249005010610.1007/s002490050106 ↗
60. 10.1039/d0cp01714k10.1039/d0cp01714k ↗
61. 10.1021/ac00074a00510.1021/ac00074a005 ↗
62. 10.1016/j.bioelechem.2006.09.00910.1016/j.bioelechem.2006.09.009 ↗
63. 10.1016/j.talanta.2011.01.05810.1016/j.talanta.2011.01.058 ↗
64. 10.1002/smll.20100006610.1002/smll.201000066 ↗
65. 10.1016/j.biomaterials.2020.12027510.1016/j.biomaterials.2020.120275 ↗
66. 10.1021/acs.nanolett.8b0296810.1021/acs.nanolett.8b02968 ↗
67. 10.1016/j.micromeso.2022.11224610.1016/j.micromeso.2022.112246 ↗
68. 10.1116/1.59139010.1116/1.591390 ↗
69. 10.1016/j.tsf.2023.13968310.1016/j.tsf.2023.139683 ↗
70. 10.1021/acsami.9b1789910.1021/acsami.9b17899 ↗
71. 10.1107/S002188981002035210.1107/S0021889810020352 ↗