Gas-Induced Ion-Free Stable Radical Anion Formation of Organic Semiconducting Solids as Highly Gas-Selective Probes
Source abstract
Abstract
The formation of stabilized radical anions on organic materials in the solid state is an important issue in radical-based fundamental research and various applications. Herein, for the first time, we report on gas-induced ion-free stable radical anion formation (SRAF) of organic semiconducting solids with high gas selectivities through the use of organic field-effect transistor (OFET) gas sensors and electron spin resonance spectroscopy. In contrast to the previously reported SRAF, which requires either anionic analytes in solution and/or cationic substituents on π-electron-deficient aromatic cores, NDI-EWGs consist of an n-type semiconducting naphthalene diimide (NDI) and various electron-withdrawing groups (EWGs) that exhibit non-ion-involved, gas-selective SRAF in the solid state. In the presence of hard Lewis base gases, NDI-EWG-based OFETs exhibit enhanced conductivity (Current-ON mode) through the formation of an SRAF NDI/gas complex, while in the presence of borderline and soft Lewis base gases, NDI-EWG-based OFETs show decreased conductivity (Current-OFF mode) by the formation of a resistive NDI/gas complex. Organic semiconducting solids with EWGs exhibiting highly gas-selective solid-SRAF constitute a very promising platform for radical-based chemistry and can be used in various applications, such as highly gas-selective probes.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Luminescence and Fluorescent Materials · Gas Sensing Nanomaterials and Sensors · Advanced Chemical Sensor Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Molecular Science and Technology, Ajou University, Suwon 443-749, Korea
Department of Chemistry, Kyonggi University, San 94-6, Iui-dong, Yeongtong-gu, Suwon-si, Gyeonggi 443-760, Korea
KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 136-701, Korea
Department of Energy Science & Engineering, DGIST, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu 42988, Korea
Funding
National Research Foundation of Korea
References (69)
Show source-provided references
1. 10.1021/acs.accounts.8b0019710.1021/acs.accounts.8b00197 ↗
2. 10.1021/jacs.6b0945910.1021/jacs.6b09459 ↗
3. 10.1002/adfm.20180034610.1002/adfm.201800346 ↗
4. 10.1039/C5SC00862J10.1039/C5SC00862J ↗
5. 10.1039/C4CS00326H10.1039/C4CS00326H ↗
6. 10.1002/adma.20110333410.1002/adma.201103334 ↗
7. 10.1002/adma.20130058010.1002/adma.201300580 ↗
8. 10.1002/adma.20160516610.1002/adma.201605166 ↗
9. 10.1038/nature1171910.1038/nature11719 ↗
10. 10.1002/anie.20150457610.1002/anie.201504576 ↗
11. 10.1021/ja303173n10.1021/ja303173n ↗
12. 10.1021/ja107382x10.1021/ja107382x ↗
13. 10.1021/ja205572610.1021/ja2055726 ↗
14. 10.1021/ol403736m10.1021/ol403736m ↗
15. 10.1021/ol302140x10.1021/ol302140x ↗
16. 10.1039/C9AN00135B10.1039/C9AN00135B ↗
17. 10.1021/ja504903j10.1021/ja504903j ↗
18. 10.1039/C9SC00962K10.1039/C9SC00962K ↗
19. 10.1002/ange.20180783610.1002/ange.201807836 ↗
20. 10.1021/acsomega.7b0188710.1021/acsomega.7b01887 ↗
21. 10.1002/anie.20140806710.1002/anie.201408067 ↗
22. 10.1002/adma.20100140210.1002/adma.201001402 ↗
23. 10.1039/C8CC07640E10.1039/C8CC07640E ↗
24. 10.1039/B615857A10.1039/B615857A ↗
25. 10.1002/anie.20130974610.1002/anie.201309746 ↗
26. 10.1021/ja509442t10.1021/ja509442t ↗
27. 10.1021/ja015817m10.1021/ja015817m ↗
28. 10.1039/C4CP03879G10.1039/C4CP03879G ↗
29. 10.1039/c0cc00249f10.1039/c0cc00249f ↗
30. 10.1039/C4SC03224A10.1039/C4SC03224A ↗
31. 10.1021/acs.chemmater.9b0097710.1021/acs.chemmater.9b00977 ↗
32. 10.1002/1439-7641(20010316)2:3<167::AID-CPHC167>3.0.CO;2-F10.1002/1439-7641(20010316)2:3<167::AID-CPHC167>3.0.CO;2-F ↗
33. 10.1016/j.synthmet.2009.08.00410.1016/j.synthmet.2009.08.004 ↗
34. 10.1021/ja000870g10.1021/ja000870g ↗
35. 10.1021/cm802071w10.1021/cm802071w ↗
36. 10.1002/adma.20120407510.1002/adma.201204075 ↗
37. 10.1002/adma.20130113810.1002/adma.201301138 ↗
38. 10.1016/j.snb.2012.06.06010.1016/j.snb.2012.06.060 ↗
39. 10.1021/acsami.6b0047110.1021/acsami.6b00471 ↗
40. 10.1021/acssensors.7b0056410.1021/acssensors.7b00564 ↗
41. 10.1002/adfm.20180314510.1002/adfm.201803145 ↗
42. 10.1021/acs.langmuir.7b0246610.1021/acs.langmuir.7b02466 ↗
43. 10.1002/adma.20177027710.1002/adma.201770277 ↗
44. 10.1002/adma.20120413410.1002/adma.201204134 ↗
45. 10.1002/adma.20150594610.1002/adma.201505946 ↗
46. 10.1038/nmat216710.1038/nmat2167 ↗
47. 10.1021/acsami.6b1422010.1021/acsami.6b14220 ↗
48. 10.1021/ja305287p10.1021/ja305287p ↗
49. 10.1021/acsami.5b0807810.1021/acsami.5b08078 ↗
50. 10.1039/c3cs60127g10.1039/c3cs60127g ↗
51. 10.1016/S0925-4005(00)00541-410.1016/S0925-4005(00)00541-4 ↗
52. 10.1021/acsami.8b1542710.1021/acsami.8b15427 ↗
53. 10.1021/ja00905a00110.1021/ja00905a001 ↗
54. Laurence C. · 2010
55. 10.1021/acsomega.7b0103910.1021/acsomega.7b01039 ↗
56. 10.1002/adfm.20030500310.1002/adfm.200305003 ↗
57. 10.1039/C0CE00456A10.1039/C0CE00456A ↗
58. 10.1002/1616-3028(20020201)12:2<110::AID-ADFM110>3.0.CO;2-Y10.1002/1616-3028(20020201)12:2<110::AID-ADFM110>3.0.CO;2-Y ↗
59. 10.1002/(SICI)1521-4095(199807)10:10<777::AID-ADMA777>3.0.CO;2-710.1002/(SICI)1521-4095(199807)10:10<777::AID-ADMA777>3.0.CO;2-7 ↗
60. 10.1039/B614208G10.1039/B614208G ↗
61. 10.1021/am500195410.1021/am5001954 ↗
62. 10.1016/j.orgel.2015.05.02210.1016/j.orgel.2015.05.022 ↗
63. 10.1016/j.snb.2004.11.05410.1016/j.snb.2004.11.054 ↗
64. 10.1016/S0269-7491(02)00434-710.1016/S0269-7491(02)00434-7 ↗
65. 10.1016/j.biortech.2013.10.09310.1016/j.biortech.2013.10.093 ↗
66. 10.1021/cr400659h10.1021/cr400659h ↗
67. 10.1039/C2CS35379B10.1039/C2CS35379B ↗
68. 10.1002/adma.20150382510.1002/adma.201503825 ↗
69. Frisch, M. J.; Trucks, G. W.; Schlegel, H. B.; Scuseria, G. E.; Robb, M. A.; Cheeseman, J. R.; Scalmani, G.; Barone, V.; Petersson, G. A.; Nakatsuji, H.; Li, X.; Caricato, M.; Marenich, A. V.; Bloino, J.; Janesko, B. G.; Gomperts, R.; Mennucci, B.; Hratchian, H. P.; Ortiz, J. V.; Izmaylov, A. F.; Sonnenberg, J. L.; Williams-Young, D.; Ding, F.; Lipparini, F.; Egidi, F.; Goings, J.; Peng, B.; Petrone, A.; Henderson, T.; Ranasinghe, D.; Zakrzewski, V. G.; Gao, J.; Rega, N.; Zheng, G.; Liang, W.; Hada, M.; Ehara, M.; Toyota, K.; Fukuda, R.; Hasegawa, J.; Ishida, M.; Nakajima, T.; Honda, Y.; Kitao, O.; Nakai, H.; Vreven, T.; Throssell, K.; Montgomery, J. A., Jr.; Peralta, J. E.; Ogliaro, F.; Bearpark, M. J.; Heyd, J. J.; Brothers, E. N.; Kudin, K. N.; Staroverov, V. N.; Keith, T. A.; Kobayashi, R.; Normand, J.; Raghavachari, K.; Rendell, A. P.; Burant, J. C.; Iyengar, S. S.; Tomasi, J.; Cossi, M.; Millam, J. M.; Klene, M.; Adamo, C.; Cammi, R.; Ochterski, J. W.; Martin, R. L.; Morokuma, K.; Farkas, O.; Foresman, J. B.; Fox, D. J. Gaussian 16, revision D.01; Gaussian, Inc.: Wallingford, CT, 2016.