journal article·2025-03-04Open access

Molecular Determinants of Optical Modulation in ssDNA–Carbon Nanotube Biosensors

Andrew T. Krasley, Sayantani Chakraborty, Lela Vuković, Abraham G. Beyene

ACS Nano· Volume 19· Issue 8

Abstract

Most traditional optical biosensors operate through molecular recognition, where ligand binding causes conformational changes that lead to optical perturbations in the emitting motif. Optical sensors developed from single-stranded DNA-functionalized single-walled carbon nanotubes (ssDNA-SWCNTs) have started to make useful contributions to biological research. However, the mechanisms underlying their function have remained poorly understood. In this study, we combine experimental and computational approaches to show that ligand binding alone is not sufficient for optical modulation in this class of synthetic biosensors. Instead, the optical response that occurs after ligand binding is highly dependent on the chemical properties of the ligands, resembling mechanisms seen in activity-based biosensors. Specifically, we show that in ssDNA-SWCNT catecholamine sensors, the optical response correlates positively with the electron density on the aryl motif, even among ligands with similar ligand binding affinities. Importantly, despite the strong correlations with electrochemical properties, we find that catechol oxidation itself is not necessary to drive the sensor optical response. We discuss how these findings could serve as a framework for tuning the performance of existing sensors and guiding the development of new biosensors of this class.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Carbon Nanotubes in Composites · Mechanical and Optical Resonators · bioluminescence and chemiluminescence research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Janelia Research Campus

Howard Hughes Medical Institute

Department of Chemistry and Biochemistry

University of Texas at El Paso

Computational Science Program and Bioinformatics Program

Funding

Howard Hughes Medical Institute · Division of Chemical, Bioengineering, Environmental, and Transport Systems

References (72)

Show source-provided references
1. 10.1021/acs.chemrev.3c0058110.1021/acs.chemrev.3c00581 ↗
2. 10.1038/s41428-018-0052-810.1038/s41428-018-0052-8 ↗
3. 10.1021/nl072969s10.1021/nl072969s ↗
4. 10.1021/acs.nanolett.1c0425910.1021/acs.nanolett.1c04259 ↗
5. 10.1038/nnano.2016.24810.1038/nnano.2016.248 ↗
6. 10.1002/anie.20211237210.1002/anie.202112372 ↗
7. 10.1016/j.addr.2013.07.01510.1016/j.addr.2013.07.015 ↗
8. 10.1021/ja108494210.1021/ja1084942 ↗
9. 10.1038/nchem.33210.1038/nchem.332 ↗
10. 10.1038/nnano.2010.2410.1038/nnano.2010.24 ↗
11. 10.1021/ja410433b10.1021/ja410433b ↗
12. 10.1021/acs.nanolett.8b0293710.1021/acs.nanolett.8b02937 ↗
13. 10.1126/sciadv.aay377110.1126/sciadv.aay3771 ↗
14. 10.1101/2022.10.05.51102610.1101/2022.10.05.511026 ↗
15. 10.1038/nnano.2013.22210.1038/nnano.2013.222 ↗
16. 10.1038/nnano.2013.23610.1038/nnano.2013.236 ↗
17. 10.1126/science.aao675010.1126/science.aao6750 ↗
18. 10.1126/science.aaz743510.1126/science.aaz7435 ↗
19. 10.1021/acsnano.1c1144810.1021/acsnano.1c11448 ↗
20. 10.1021/acs.chemrev.9b0083510.1021/acs.chemrev.9b00835 ↗
21. 10.1126/science.abo462810.1126/science.abo4628 ↗
22. 10.1038/s41524-022-00795-710.1038/s41524-022-00795-7 ↗
23. 10.3390/s1924540310.3390/s19245403 ↗
24. 10.1021/acsnano.1c0827110.1021/acsnano.1c08271 ↗
25. 10.1021/acs.jcim.4c0002110.1021/acs.jcim.4c00021 ↗
26. 10.3390/nano1403024710.3390/nano14030247 ↗
27. 10.1126/sciadv.aaw310810.1126/sciadv.aaw3108 ↗
28. 10.7554/eLife.7877310.7554/eLife.78773 ↗
29. 10.1073/pnas.161354111410.1073/pnas.1613541114 ↗
30. 10.1073/pnas.220284211910.1073/pnas.2202842119 ↗
31. 10.1016/j.ccr.2011.01.01510.1016/j.ccr.2011.01.015 ↗
32. 10.1524/zpch.1977.105.1_2.02110.1524/zpch.1977.105.1_2.021 ↗
33. 10.1016/S0165-0270(01)00502-710.1016/S0165-0270(01)00502-7 ↗
34. 10.1007/s00216-006-0675-z10.1007/s00216-006-0675-z ↗
35. 10.1016/j.talanta.2016.06.06610.1016/j.talanta.2016.06.066 ↗
36. 10.1038/nmat127610.1038/nmat1276 ↗
37. 10.1038/nnano.2007.26110.1038/nnano.2007.261 ↗
38. 10.1021/j150623a02910.1021/j150623a029 ↗
39. 10.1021/acsomega.0c0067610.1021/acsomega.0c00676 ↗
40. 10.1021/acsami.9b1972610.1021/acsami.9b19726 ↗
41. 10.1126/science.107263110.1126/science.1072631 ↗
42. 10.1021/ja077723410.1021/ja0777234 ↗
43. Chemicalize, https://chemicalize.com/ (accessed April 26, 2024).
44. 10.1039/b927053a10.1039/b927053a ↗
45. 10.1021/jp053077o10.1021/jp053077o ↗
46. 10.1021/acsnano.7b0474310.1021/acsnano.7b04743 ↗
47. 10.1038/s41467-019-11583-110.1038/s41467-019-11583-1 ↗
48. 10.1038/ncomms1024110.1038/ncomms10241 ↗
49. 10.1021/acsami.3c0082810.1021/acsami.3c00828 ↗
50. 10.1126/sciadv.aaq109010.1126/sciadv.aaq1090 ↗
51. 10.1021/acsnano.2c0005410.1021/acsnano.2c00054 ↗
52. 10.1021/acs.nanolett.1c0011810.1021/acs.nanolett.1c00118 ↗
53. 10.1038/s41467-020-19718-510.1038/s41467-020-19718-5 ↗
54. 10.1021/acs.jpcc.5b1218310.1021/acs.jpcc.5b12183 ↗
55. 10.1016/j.chemphys.2014.04.00610.1016/j.chemphys.2014.04.006 ↗
56. 10.1021/acs.accounts.9b0054210.1021/acs.accounts.9b00542 ↗
57. 10.1021/acsbiomedchemau.2c0005210.1021/acsbiomedchemau.2c00052 ↗
58. 10.1021/ar300109n10.1021/ar300109n ↗
59. Dennington R. · 2019
60. 10.1021/ct200723y10.1021/ct200723y ↗
61. 10.1002/jcc.2335410.1002/jcc.23354 ↗
62. 10.1021/acsnano.0c0572010.1021/acsnano.0c05720 ↗
63. 10.1021/acs.nanolett.2c0285010.1021/acs.nanolett.2c02850 ↗
64. 10.1002/admi.20200035310.1002/admi.202000353 ↗
65. 10.1021/acs.jpcc.8b1105810.1021/acs.jpcc.8b11058 ↗
66. 10.1002/jcc.2136710.1002/jcc.21367 ↗
67. 10.1063/5.001447510.1063/5.0014475 ↗
68. 10.1063/1.46439710.1063/1.464397 ↗
69. 10.1021/acs.jpcb.2c0375610.1021/acs.jpcb.2c03756 ↗
70. 10.1146/annurev-physchem-042018-05234010.1146/annurev-physchem-042018-052340 ↗
71. 10.1021/acs.jctc.7b0017210.1021/acs.jctc.7b00172 ↗
72. Krasley, A.; Chakraborty, S.; Vukovic, L.; Beyene, A. Molecular Determinants of Optical Modulation in ssDNA-Carbon Nanotube Biosensors: Insights from Experimental and Computational Approaches. 2024, ChemRxiv, https://chemrxiv.org/engage/chemrxiv/article-details/66e9f8e2cec5d6c1425f7a78 (accessed September 18, 2024).