journal article·2024-12-17

Spherical Nucleic Acid Probes on Floating-Gate Field-Effect Transistor Biosensors for Attomolar-Level Analyte Detection

Haoran Wang, Jing Xie, Mengmeng Xiao, Yuehua Ke, Jiawang Li, Zongyu Nie, Qiaoshu Chen, Zhiyong Zhang

ACS Nano· Volume 18· Issue 50
Publisher page

Abstract

Field-effect transistor (FET) sensors are attractive for the label-free detection of target biomolecules, offering ultrahigh sensitivity and a rapid response. However, conventional methods for modifying biomolecular probes on sensors often involve intricate and time-consuming procedures that require specialized training. Herein, we propose a simple and versatile approach to functionalize floating-gate (FG) FET sensors by exploiting the strong binding ability of polyvalent interactions and the three-dimensional structure of densely functionalized spherical nucleic acids (SNAs). Crucially, the SNAs can be easily deposited onto a dielectric layer under mild conditions, ensuring stable immobilization of the probes. Further, the SNAs show efficient and robust immobilization on various dielectric layers including Y 2 O 3, Ta 2 O 5, and HfO 2, forming conjugates that resist denaturation by various agents. By modifying the DNA sequence within the SNAs, we achieved highly sensitive FG-FET biosensors for DNA, adenosine triphosphate, and viral nucleic acids at the attomolar level. For clinical samples detection, unamplified enterovirus 71 RNA at levels as low as 0.13 copies μL –1 was detected within 100 s. Moreover, the sensor attained 100% accuracy for analyte detection in both positive and negative samples. Our findings provide a general and simple method for fabricating FET-based biochemical sensors and demonstrate that the SNA-modified FG-FET biosensor is a versatile and reliable integrated platform for ultrasensitive biomarker detection.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Analytical Chemistry and Sensors · Nanowire Synthesis and Applications

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

Affiliations

Hunan Institute of Advanced Sensing and Information Technology, Hunan Provincial Key Laboratory of Smart Carbon Materials and Advanced Sensing, Xiangtan University, Hunan 411105, China

Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing 100871, China

Chinese PLA Center for Disease Control and Prevention, Beijing 100071, China

Department of Bacteriology, Capital Institute of Pediatrics, Beijing 100020, China

Funding

Natural Science Foundation of Hunan Province · National Key Research and Development Program of China · National Natural Science Foundation of China

References (59)

Show source-provided references
1. 10.1038/s41467-020-16979-y10.1038/s41467-020-16979-y ↗
2. 10.1038/s41467-019-09573-410.1038/s41467-019-09573-4 ↗
3. 10.1038/s41467-023-39701-010.1038/s41467-023-39701-0 ↗
4. 10.1038/s41551-021-00833-710.1038/s41551-021-00833-7 ↗
5. 10.1038/ncomms395410.1038/ncomms3954 ↗
6. 10.1126/science.287.5453.62210.1126/science.287.5453.622 ↗
7. 10.1073/pnas.083706410010.1073/pnas.0837064100 ↗
8. 10.1021/nn404544e10.1021/nn404544e ↗
9. 10.1021/nn102938h10.1021/nn102938h ↗
10. 10.1021/nl072996i10.1021/nl072996i ↗
11. 10.1021/ja075176g10.1021/ja075176g ↗
12. 10.1002/adma.20070279810.1002/adma.200702798 ↗
13. 10.1021/acsnano.0c0352310.1021/acsnano.0c03523 ↗
14. 10.1021/acssensors.2c0096710.1021/acssensors.2c00967 ↗
15. 10.1002/smll.20220819810.1002/smll.202208198 ↗
16. 10.1021/acsami.3c1730910.1021/acsami.3c17309 ↗
17. 10.1021/acsami.0c0435610.1021/acsami.0c04356 ↗
18. 10.1021/acsami.9b2090710.1021/acsami.9b20907 ↗
19. 10.1016/j.snb.2011.01.03510.1016/j.snb.2011.01.035 ↗
20. 10.1039/C4CC03264K10.1039/C4CC03264K ↗
21. 10.1002/ange.20141141710.1002/ange.201411417 ↗
22. 10.1021/ja511444e10.1021/ja511444e ↗
23. 10.1021/am401886310.1021/am4018863 ↗
24. 10.1002/anie.20180553210.1002/anie.201805532 ↗
25. 10.1016/j.matt.2019.08.00810.1016/j.matt.2019.08.008 ↗
26. 10.1021/ja209351u10.1021/ja209351u ↗
27. 10.1073/pnas.180183611510.1073/pnas.1801836115 ↗
28. 10.1039/C8CC00440D10.1039/C8CC00440D ↗
29. 10.1016/j.trac.2022.11680710.1016/j.trac.2022.116807 ↗
30. 10.1039/D0SC06645A10.1039/D0SC06645A ↗
31. 10.1021/acscentsci.9b0110510.1021/acscentsci.9b01105 ↗
32. 10.1002/anie.20140531710.1002/anie.201405317 ↗
33. 10.1021/nn402374710.1021/nn4023747 ↗
34. 10.1021/ja504845f10.1021/ja504845f ↗
35. 10.1021/acs.langmuir.1c0319010.1021/acs.langmuir.1c03190 ↗
36. 10.1021/jacs.2c0791310.1021/jacs.2c07913 ↗
37. 10.1021/acs.langmuir.0c0267710.1021/acs.langmuir.0c02677 ↗
38. 10.1021/acs.langmuir.9b0162210.1021/acs.langmuir.9b01622 ↗
39. 10.1002/anie.20170299810.1002/anie.201702998 ↗
40. 10.1021/acsami.5b0800410.1021/acsami.5b08004 ↗
41. 10.1039/C7MH00804J10.1039/C7MH00804J ↗
42. 10.1002/cphc.20160107710.1002/cphc.201601077 ↗
43. 10.1021/ac052137j10.1021/ac052137j ↗
44. 10.1007/s11356-023-27278-610.1007/s11356-023-27278-6 ↗
45. 10.1021/acs.jpcc.9b0431710.1021/acs.jpcc.9b04317 ↗
46. 10.1128/jvi.06566-1110.1128/jvi.06566-11 ↗
47. 10.1016/S1473-3099(10)70194-810.1016/S1473-3099(10)70194-8 ↗
48. 10.1016/j.virusres.2022.19903810.1016/j.virusres.2022.199038 ↗
49. 10.1002/rmv.236110.1002/rmv.2361 ↗
50. 10.1093/ije/dyz27410.1093/ije/dyz274 ↗
51. 10.1016/j.surg.2015.12.02910.1016/j.surg.2015.12.029 ↗
52. 10.1002/anie.20130795210.1002/anie.201307952 ↗
53. 10.1007/s00705-018-3859-x10.1007/s00705-018-3859-x ↗
54. 10.1016/j.jviromet.2014.07.01410.1016/j.jviromet.2014.07.014 ↗
55. 10.1016/j.jviromet.2011.11.01910.1016/j.jviromet.2011.11.019 ↗
56. 10.1016/j.diagmicrobio.2011.07.01410.1016/j.diagmicrobio.2011.07.014 ↗
57. 10.1002/jssc.20150016510.1002/jssc.201500165 ↗
58. 10.1021/acs.analchem.5b0324710.1021/acs.analchem.5b03247 ↗
59. 10.1021/acs.analchem.1c0033510.1021/acs.analchem.1c00335 ↗