journal article·2023-07-14

High-Efficiency X-ray Sensing with Recyclable Perovskite–Graphene Heterostructured Transistors

Kendon Shirley, Hsinhan Tsai, Nicholas Cucciniello, Jonathan Bird, Quanxi Jia, Elias Torres, Phil Butler, Anthony Butler, Jerome Crocco, Eslam Taha, Abdulsalam Alhawsawi, Jessica Germino, Maoz Dor, Chaochao Dun, Omer Firat, Jared Parker, Matt Graham, Kostya S. Novoselov, Wanyi Nie

ACS Energy Letters· Volume 8· Issue 7
Publisher page

Abstract

We present a recyclable perovskite–graphene heterostructure that demonstrates ultrahigh X-ray detection sensitivities over 10 8 μC/Gy air ·cm 2 for medical imaging applications. The high mobility of the graphene pixel is preserved to over 1200 cm 2 /V·s after perovskite deposition and enables large conversion efficiency for ultrahigh sensitivity. Increasing the operational bias of the graphene channel increased the X-ray detection signal-to-noise ratio from 30 to over 200. The perovskite can be washed off by an organic solvent at room temperature without damaging the graphene. Redepositing the perovskite layer retains the detectors’ high gain, making our heterostructure X-ray detector a recyclable device. The perovskite–graphene device exhibits robust operation given 10,000 gate sweeps and multicycle X-ray irradiations. Here we have demonstrated a high-performance, low-cost, plug-and-play solution with a recyclable design that could significantly reduce the manufacturing and maintenance costs associated with X-ray cameras in medical imaging.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Ga2O3 and related materials · Electronic and Structural Properties of Oxides

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

Affiliations

Kairos Sensors LLC, Corvallis, Oregon 97330, United States

University of California Berkeley, Berkeley, California 94720, United States

Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States

University at Buffalo, Buffalo, New York 14260, United States

Graphenea Inc, San Sebastian 83-20009, Spain

University of Otago, Christchurch 8011, New Zealand

MARS Bioimaging Ltd., Christchurch 8041, New Zealand

dpiX Inc., Colorado Springs, Colorado 80916, United States

Faculty of Engineering, Department of Nuclear Engineering, King Abdulaziz University, P.O. Box 80204, Jeddah 21589, Saudi Arabia

Center for Training and Radiation Prevention, King Abdulaziz University, P.O. Box 80204, Jeddah 21859, Saudi Arabia

Corvallis Radiology, Corvallis, Oregon 97330, United States

Michigan State University, East Lansing, Michigan 48103, United States

Oregon State University, Corvallis, Oregon 97331, United States

Lawrence Berkeley National Laboratory, Berkeley, California 97420, United States

Institute for Functional Intelligent Materials, National University of Singapore, 119077 Singapore

Funding

Royal Society · Los Alamos National Laboratory · Ministry of Education - Singapore · National Institute of Biomedical Imaging and Bioengineering · Oregon State University · National Science Foundation · Oregon State Lottery

References (39)

Show source-provided references
1. 10.1088/0031-9155/55/17/00810.1088/0031-9155/55/17/008 ↗
2. 10.1118/1.290342510.1118/1.2903425 ↗
3. 10.1016/j.nima.2005.04.05310.1016/j.nima.2005.04.053 ↗
4. 10.1088/0022-3727/33/21/32610.1088/0022-3727/33/21/326 ↗
5. 10.1118/1.151315710.1118/1.1513157 ↗
6. 10.1016/j.jnoncrysol.2004.08.06210.1016/j.jnoncrysol.2004.08.062 ↗
7. 10.1073/pnas.200985211710.1073/pnas.2009852117 ↗
8. 10.34133/2021/989215210.34133/2021/9892152 ↗
9. 10.1116/1.488283510.1116/1.4882835 ↗
10. 10.1038/ncomms119710.1038/ncomms1197 ↗
11. 10.1088/0031-9155/42/1/00110.1088/0031-9155/42/1/001 ↗
12. 10.1021/acsenergylett.0c0243010.1021/acsenergylett.0c02430 ↗
13. 10.1021/acsenergylett.1c0217310.1021/acsenergylett.1c02173 ↗
14. 10.1021/acsenergylett.2c0007510.1021/acsenergylett.2c00075 ↗
15. 10.1021/acsenergylett.2c0219610.1021/acsenergylett.2c02196 ↗
16. 10.1021/acsenergylett.3c0009710.1021/acsenergylett.3c00097 ↗
17. 10.1038/nature2403210.1038/nature24032 ↗
18. 10.1088/2515-7639/abf54410.1088/2515-7639/abf544 ↗
19. 10.1021/acsami.6b1163110.1021/acsami.6b11631 ↗
20. 10.1021/acs.nanolett.7b0298010.1021/acs.nanolett.7b02980 ↗
21. 10.1038/nnano.2014.21510.1038/nnano.2014.215 ↗
22. 10.1002/adma.20140227110.1002/adma.201402271 ↗
23. 10.1002/adom.20150015010.1002/adom.201500150 ↗
24. 10.1038/srep4628110.1038/srep46281 ↗
25. 10.1021/acsnano.0c0799310.1021/acsnano.0c07993 ↗
26. 10.1002/adma.20210649810.1002/adma.202106498 ↗
27. 10.1126/science.aaa047210.1126/science.aaa0472 ↗
28. 10.1002/aelm.20200052210.1002/aelm.202000522 ↗
29. 10.1007/s10853-020-05434-410.1007/s10853-020-05434-4 ↗
30. 10.1016/j.optmat.2022.11201310.1016/j.optmat.2022.112013 ↗
31. 10.1021/acsomega.9b0144910.1021/acsomega.9b01449 ↗
32. 10.3390/ma1109176210.3390/ma11091762 ↗
33. 10.1038/s41566-021-00909-510.1038/s41566-021-00909-5 ↗
34. 10.1021/acs.jpclett.1c0340810.1021/acs.jpclett.1c03408 ↗
35. 10.1002/smtd.20190055210.1002/smtd.201900552 ↗
36. Leyton, F.; Nogueira, M. d. S.; Duran, M. P.; Dantas, M.; Ubeda, C. Quality control in digital mammography: the noise components. INAC 2011: International nuclear atlantic conference; Nuclear energy: new jobs for a better life, Brazil; Brazil, 2011.
37. 10.1021/acsenergylett.2c0205410.1021/acsenergylett.2c02054 ↗
38. 10.1007/s11664-017-6023-610.1007/s11664-017-6023-6 ↗
39. Oliveira, B. B.; Paixao, L.; Donato da Silva, S.; Araujo Teixeira, M. H.; Nogueira, M. S. Validation of mean glandular dose values provided by a digital breast tomosynthesis system in Brazil; 14 International Symposium on Solid State Dosimetry, Mexico, Sociedad Mexicana de Irradiacion y Dosimetria: Mexico, 2014.