Highly Porous ZnO/CNT Hybrid Microclusters for Superior UV Photodetection
Source abstract
Abstract
The formation of nanoscale junctions among nanoparticles in self-assembled nanostructures is crucial for improving both interfacial conductivity and structural integrity. However, the inherent reliance on weak van der Waals forces to hold nanoparticles together poses challenges in developing commercially viable devices due to their inefficient carrier transport characteristics. This study presents the successful integration of carbon nanotubes (CNTs) into highly porous nanomicrocluster arrays of ZnO, resulting in the formation of cohesive and crack-free highly porous ZnO/CNT heterojunction films. This integration marks a significant improvement in UV photodetection performance, demonstrating a record-high photocurrent to dark current ratio of 3.3 × 10 6 and an exceptional responsivity of 18.5 A/W at a low bias of 0.5 V and under an ultra low light density of 25 μW/cm 2 . These findings underscore the efficacy of this high-performance structure as a versatile and scalable platform technology for the rapid, cost-effective fabrication of hybrid photodetectors in wearable and portable devices.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: ZnO doping and properties · Gas Sensing Nanomaterials and Sensors · Ga2O3 and related materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
NanoTech Laboratory, School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney 2109, Australia
Smart Green Cities Research Centre, Macquarie University, Sydney 2109, Australia
School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney 2109, Australia
Funding
Cancer Institute NSW · Macquarie University · Macquarie University Research Training Program scholarship
References (72)
Show source-provided references
1. 10.1039/C6CS00218H10.1039/C6CS00218H ↗
2. 10.1016/j.fuel.2016.08.00410.1016/j.fuel.2016.08.004 ↗
3. 10.3390/chemosensors911031610.3390/chemosensors9110316 ↗
4. 10.3390/nano1108192710.3390/nano11081927 ↗
5. 10.3390/ma1517581310.3390/ma15175813 ↗
6. 10.1063/5.005848210.1063/5.0058482 ↗
7. 10.1080/10643389.2023.216847310.1080/10643389.2023.2168473 ↗
8. 10.1186/s12951-022-01489-410.1186/s12951-022-01489-4 ↗
9. 10.1002/adom.20160027310.1002/adom.201600273 ↗
10. 10.1002/adfm.20160219510.1002/adfm.201602195 ↗
11. 10.1002/adma.20150151710.1002/adma.201501517 ↗
12. 10.1016/j.optmat.2023.11365110.1016/j.optmat.2023.113651 ↗
13. 10.1038/s41578-023-00583-910.1038/s41578-023-00583-9 ↗
14. 10.1002/smll.20170276910.1002/smll.201702769 ↗
15. 10.1016/j.apsusc.2021.15173910.1016/j.apsusc.2021.151739 ↗
16. 10.1002/smll.20170015610.1002/smll.201700156 ↗
17. 10.1002/adfm.20170026410.1002/adfm.201700264 ↗
18. 10.1016/j.jmst.2021.07.03110.1016/j.jmst.2021.07.031 ↗
19. 10.1039/C6RA05039E10.1039/C6RA05039E ↗
20. 10.1088/1742-6596/1003/1/01207010.1088/1742-6596/1003/1/012070 ↗
21. 10.1016/j.orgel.2019.10554510.1016/j.orgel.2019.105545 ↗
22. 10.1016/j.ijleo.2015.05.10810.1016/j.ijleo.2015.05.108 ↗
23. 10.1002/adfm.20230280810.1002/adfm.202302808 ↗
24. 10.1039/C5NR00877H10.1039/C5NR00877H ↗
25. 10.1021/acsami.6b1232110.1021/acsami.6b12321 ↗
26. 10.1002/adom.20180067710.1002/adom.201800677 ↗
27. 10.1021/cm052163y10.1021/cm052163y ↗
28. 10.1021/acsnano.9b0515710.1021/acsnano.9b05157 ↗
29. 10.1063/1.492291110.1063/1.4922911 ↗
30. 10.1007/s13391-015-5005-110.1007/s13391-015-5005-1 ↗
31. 10.1063/1.12183010.1063/1.121830 ↗
32. 10.1016/j.matchemphys.2011.01.02610.1016/j.matchemphys.2011.01.026 ↗
33. 10.1021/acsnano.3c0026310.1021/acsnano.3c00263 ↗
34. 10.1016/j.snb.2015.10.00210.1016/j.snb.2015.10.002 ↗
35. 10.1016/j.solidstatesciences.2008.10.01610.1016/j.solidstatesciences.2008.10.016 ↗
36. 10.1088/0022-3727/46/23/23530210.1088/0022-3727/46/23/235302 ↗
37. 10.1088/1361-6463/aab8d310.1088/1361-6463/aab8d3 ↗
38. 10.1103/PhysRevB.69.11330310.1103/PhysRevB.69.113303 ↗
39. 10.2320/matertrans.47.184710.2320/matertrans.47.1847 ↗
40. 10.1063/1.475908710.1063/1.4759087 ↗
41. 10.1021/acsomega.1c0038110.1021/acsomega.1c00381 ↗
42. 10.1007/s40089-016-0197-410.1007/s40089-016-0197-4 ↗
43. 10.1038/s41598-019-56109-310.1038/s41598-019-56109-3 ↗
44. 10.1039/C4TC01056F10.1039/C4TC01056F ↗
45. 10.1126/science.289.5480.73610.1126/science.289.5480.736 ↗
46. 10.1103/PhysRevE.66.01140310.1103/PhysRevE.66.011403 ↗
47. 10.1002/1521-3773(20020402)41:7<1188::AID-ANIE1188>3.0.CO;2-510.1002/1521-3773(20020402)41:7<1188::AID-ANIE1188>3.0.CO;2-5 ↗
48. 10.1039/B9NR00047J10.1039/B9NR00047J ↗
49. 10.3390/ma304264310.3390/ma3042643 ↗
50. 10.1080/25765299.2020.183348410.1080/25765299.2020.1833484 ↗
51. 10.1039/C6NR08425G10.1039/C6NR08425G ↗
52. 10.1021/acs.jpclett.8b0289210.1021/acs.jpclett.8b02892 ↗
53. 10.1021/acsanm.3c0440310.1021/acsanm.3c04403 ↗
54. 10.1021/jp905500n10.1021/jp905500n ↗
55. 10.1016/j.mattod.2015.06.00110.1016/j.mattod.2015.06.001 ↗
56. 10.1021/am900422y10.1021/am900422y ↗
57. 10.1088/0957-4484/21/37/37520210.1088/0957-4484/21/37/375202 ↗
58. 10.1186/s11671-020-03405-x10.1186/s11671-020-03405-x ↗
59. 10.1021/acsanm.9b0080810.1021/acsanm.9b00808 ↗
60. 10.1021/acsomega.1c0498110.1021/acsomega.1c04981 ↗
61. 10.1063/1.497842710.1063/1.4978427 ↗
62. 10.1021/acsomega.9b0147910.1021/acsomega.9b01479 ↗
63. 10.3788/COL201816.02000210.3788/COL201816.020002 ↗
64. 10.1021/jz500770c10.1021/jz500770c ↗
65. 10.1021/nl103134310.1021/nl1031343 ↗
66. 10.1116/1.59125810.1116/1.591258 ↗
67. 10.1002/adfm.20140149310.1002/adfm.201401493 ↗
68. 10.1016/j.compositesb.2019.01.08710.1016/j.compositesb.2019.01.087 ↗
69. 10.1016/j.vacuum.2018.11.04610.1016/j.vacuum.2018.11.046 ↗
70. 10.1016/j.optmat.2019.04.04110.1016/j.optmat.2019.04.041 ↗
71. 10.1021/acsami.7b0776510.1021/acsami.7b07765 ↗
72. 10.1038/s41598-017-14544-010.1038/s41598-017-14544-0 ↗