journal article·2020-01-29

Functional Carbon Quantum Dots for Highly Sensitive Graphene Transistors for Cu2+ Ion Detection

Qin Fan, Jinhua Li, Yuhua Zhu, Zilu Yang, Tao Shen, Yizhong Guo, Lihua Wang, Tao Mei, Jianying Wang, Xianbao Wang

Publisher page

Abstract

Cu2+ ions play essential roles in various biological events that occur in the human body. It is important to establish an efficient and reliable detection of Cu2+ ions for people’s health. The solution-gated graphene transistors (SGGTs) have been extensively investigated as a promising platform for chemical and biological sensing applications. Herein, highly sensitive and highly selective sensor for Cu2+ ion detection is successfully constructed based on SGGTs with gate electrodes modified by functional carbon quantum dots (CQDs). The sensing mechanism of the sensor is that the coordination of CQDs and Cu2+ ions induces the capacitance change of the electrical double layer (EDL) near the gate electrode and then results in the change of channel current. Compared to other metal ions, Cu2+ ions have an excellent binding nature with CQDs that make it an ultrahigh selective sensor. The CQD-modified sensor achieves excellent Cu2+ ion detection with a minimal level of concentration (1 × 10–14 M), which is several orders of magnitude lower than the values obtained from other conventional detection methods. Interestingly, the device also displays a quick response time on the order of seconds. Due to the functionalized nature of CQDs, SGGTs with CQD-modified gate show good prospects to achieve multifunctional sensing platform in biochemical detections.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Carbon and Quantum Dots Applications · Advanced biosensing and bioanalysis techniques · Molecular Sensors and Ion Detection

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

Affiliations

Hubei Collaborative Innovation Center for Advanced Organic Chemical Materials, Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, China

Institute of Microstructure and Properties of Advanced Materials, Beijing University of Technology, Beijing 100124, China

Funding

Ministry of Science and Technology of the People's Republic of China · Natural Science Foundation of Beijing Municipality · Department of Science and Technology, Hubei Provincial People's Government · Hubei Provincial Department of Education · State Key Laboratory of Advanced Technology for Materials Synthesis and Processing · National Natural Science Foundation of China

References (66)

Show source-provided references
1. 10.1021/cr400546e10.1021/cr400546e ↗
2. 10.1021/cr200410310.1021/cr2004103 ↗
3. 10.1021/ac400924j10.1021/ac400924j ↗
4. 10.1016/j.snb.2016.09.05410.1016/j.snb.2016.09.054 ↗
5. 10.1021/ja204997c10.1021/ja204997c ↗
6. 10.1021/ja307316s10.1021/ja307316s ↗
7. 10.1021/ac902985p10.1021/ac902985p ↗
8. 10.1039/C6NR00430J10.1039/C6NR00430J ↗
9. 10.1016/j.bios.2017.01.03610.1016/j.bios.2017.01.036 ↗
10. 10.1016/j.snb.2015.08.00110.1016/j.snb.2015.08.001 ↗
11. 10.1016/j.snb.2016.01.13310.1016/j.snb.2016.01.133 ↗
12. 10.1016/j.snb.2016.12.06710.1016/j.snb.2016.12.067 ↗
13. 10.1038/nature1318010.1038/nature13180 ↗
14. 10.1021/ja100714p10.1021/ja100714p ↗
15. 10.1016/j.ccr.2012.05.00310.1016/j.ccr.2012.05.003 ↗
16. 10.1007/s00604-014-1276-810.1007/s00604-014-1276-8 ↗
17. 10.1007/s00604-014-1358-710.1007/s00604-014-1358-7 ↗
18. 10.1021/ac404236y10.1021/ac404236y ↗
19. 10.1038/nrneurol.2010.18010.1038/nrneurol.2010.180 ↗
20. 10.1039/C4CS00138A10.1039/C4CS00138A ↗
21. 10.1016/j.bios.2011.03.03310.1016/j.bios.2011.03.033 ↗
22. 10.1021/acs.analchem.5b0028310.1021/acs.analchem.5b00283 ↗
23. 10.1002/anie.20110908910.1002/anie.201109089 ↗
24. 10.1002/adma.20160114010.1002/adma.201601140 ↗
25. 10.1002/smll.20170385710.1002/smll.201703857 ↗
26. 10.1016/j.snb.2015.09.06510.1016/j.snb.2015.09.065 ↗
27. 10.1016/j.snb.2015.11.11310.1016/j.snb.2015.11.113 ↗
28. 10.1002/adma.20180491610.1002/adma.201804916 ↗
29. 10.1021/acs.accounts.8b0044810.1021/acs.accounts.8b00448 ↗
30. 10.1002/adma.20180005110.1002/adma.201800051 ↗
31. 10.1021/ac303190w10.1021/ac303190w ↗
32. 10.1002/adhm.20130022110.1002/adhm.201300221 ↗
33. 10.1039/C1CS15270J10.1039/C1CS15270J ↗
34. 10.1016/j.jhazmat.2016.08.02910.1016/j.jhazmat.2016.08.029 ↗
35. 10.1021/acsami.5b1018310.1021/acsami.5b10183 ↗
36. 10.1016/j.bios.2017.10.00410.1016/j.bios.2017.10.004 ↗
37. 10.1016/j.snb.2014.10.12110.1016/j.snb.2014.10.121 ↗
38. 10.1002/adfm.20120267210.1002/adfm.201202672 ↗
39. 10.1016/j.bios.2015.11.05710.1016/j.bios.2015.11.057 ↗
40. 10.1002/adma.20110299010.1002/adma.201102990 ↗
41. 10.1002/adhm.20170037110.1002/adhm.201700371 ↗
42. 10.1016/j.bios.2017.08.05110.1016/j.bios.2017.08.051 ↗
43. 10.1002/smll.20140264810.1002/smll.201402648 ↗
44. 10.1039/c0nr00142b10.1039/c0nr00142b ↗
45. 10.1002/adma.20180828310.1002/adma.201808283 ↗
46. 10.1039/C6TC02055K10.1039/C6TC02055K ↗
47. 10.1039/C7NR02336G10.1039/C7NR02336G ↗
48. 10.1039/C5NR07579C10.1039/C5NR07579C ↗
49. 10.1016/j.apsusc.2019.01.09010.1016/j.apsusc.2019.01.090 ↗
50. 10.1016/j.bios.2019.04.03410.1016/j.bios.2019.04.034 ↗
51. 10.1007/s00396-018-4287-x10.1007/s00396-018-4287-x ↗
52. 10.1039/C5TA05189D10.1039/C5TA05189D ↗
53. 10.1039/C6NJ02088G10.1039/C6NJ02088G ↗
54. 10.1016/j.snb.2016.10.04310.1016/j.snb.2016.10.043 ↗
55. 10.1038/nature0957910.1038/nature09579 ↗
56. 10.1021/nl204080510.1021/nl2040805 ↗
57. 10.1002/adhm.20130022110.1002/adhm.201300221 ↗
58. 10.1002/adfm.20160355010.1002/adfm.201603550 ↗
59. 10.1002/adma.20170378710.1002/adma.201703787 ↗
60. 10.1126/science.110289610.1126/science.1102896 ↗
61. 10.1021/nl204080510.1021/nl2040805 ↗
62. 10.1002/asia.20100025210.1002/asia.201000252 ↗
63. 10.1016/j.snb.2015.10.04610.1016/j.snb.2015.10.046 ↗
64. 10.1021/ac301212610.1021/ac3012126 ↗
65. 10.1039/c2cc36450f10.1039/c2cc36450f ↗
66. 10.1021/ac303113n10.1021/ac303113n ↗