journal article·2021-12-29

Graphene Field Effect Transistors: A Sensitive Platform for Detecting Sarin

Natalia Alzate-Carvajal, Jaewoo Park, Martin Pykal, Petr Lazar, Ranjana Rautela, Samantha Scarfe, Lukas Scarfe, Jean-Michel Ménard, Michal Otyepka, Adina Luican-Mayer

ACS Applied Materials & Interfaces· Volume 13· Issue 51
Publisher page

Abstract

Real time, rapid, and accurate detection of chemical warfare agents (CWA) is an ongoing security challenge. Typical detection methods for CWA are adapted from traditional chemistry techniques such as chromatography and mass spectrometry, which lack portability. Here, we address this challenge by evaluating graphene field effect transistors (GFETs) as a sensing platform for sarin gas using both experiment and theory. Experimentally, we measure the sensing response of GFETs when exposed to dimethyl methylphosphonate (DMMP), a less toxic compound used as simulant due to its chemical similarities to sarin. We find low detection limits of 800 ppb, the highest sensitivity reported up to date for this type of sensing platform. In addition to changes in resistance, we implement an in-operando monitor of the GFETs characteristics during and after exposure to the analyte, which gives insights into the graphene-DMMP interactions. Moreover, using theoretical calculations, we show that DMMP and sarin interact similarly with graphene, implying that GFETs should be highly sensitive to detecting sarin. GFETs offer a versatile platform for the development of compact and miniaturized devices that can provide real-time detection of dangerous chemicals in the local environment.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Graphene research and applications · Nanowire Synthesis and Applications · 2D Materials and Applications

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

Affiliations

Department of Physics, University of Ottawa, Ottawa, Ontario K1N 9A7, Canada

Regional Centre of Advanced Technologies and Materials, Czech Advanced Technology and Research Institute (CATRIN), Palacký University Olomouc, 771 46 Olomouc, Czech Republic

Czech Republic & IT4Innovations, VSB − Technical University of Ostrava, 17. listopadu 2172/15, 708 00 Ostrava-Poruba, Czech Republic

Funding

Minist??re de la D??fense Nationale · European Regional Development Fund · Ministerstvo ??kolstv??, Ml??de??e a T??lov??chovy

References (37)

Show source-provided references
1. 2019
2. 10.1080/10408347.2018.143936610.1080/10408347.2018.1439366 ↗
3. 10.1021/acssensors.0c0004210.1021/acssensors.0c00042 ↗
4. 10.1021/acsanm.9b0237810.1021/acsanm.9b02378 ↗
5. Lee, J.; Jeong, S.; Kim, D.; Park, C.; Baek, R.; Jin, B. In Improving DMMP (Salin simulant) sensing characteristics of TFQ functionalized graphene chemiresistive sensors, 2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO), 25–28 July 2017; 2017; pp 675–677.10.1109/NANO.2017.8117360 ↗
6. 10.1021/acsomega.0c0286110.1021/acsomega.0c02861 ↗
7. 10.1039/C9RA07186E10.1039/C9RA07186E ↗
8. 10.1039/C6NR01468B10.1039/C6NR01468B ↗
9. 10.1039/C9TC02299F10.1039/C9TC02299F ↗
10. 10.1016/j.snb.2016.04.16510.1016/j.snb.2016.04.165 ↗
11. 10.1016/j.snb.2012.01.01610.1016/j.snb.2012.01.016 ↗
12. 10.1016/j.talanta.2015.10.06910.1016/j.talanta.2015.10.069 ↗
13. 10.1021/acsami.7b0706310.1021/acsami.7b07063 ↗
14. 10.1039/C7RA12272A10.1039/C7RA12272A ↗
15. 10.1080/1064338070164365010.1080/10643380701643650 ↗
16. 10.1021/acsami.0c0905110.1021/acsami.0c09051 ↗
17. 10.1088/2053-1583/ab6e8810.1088/2053-1583/ab6e88 ↗
18. 10.1038/natrevmats.2017.4610.1038/natrevmats.2017.46 ↗
19. 10.1038/nmat196710.1038/nmat1967 ↗
20. 10.3390/app807111810.3390/app8071118 ↗
21. 10.1038/nmat184910.1038/nmat1849 ↗
22. 10.1103/PhysRevB.76.19542110.1103/PhysRevB.76.195421 ↗
23. 10.1039/C4TC00522H10.1039/C4TC00522H ↗
24. 10.1021/am507146410.1021/am5071464 ↗
25. 10.1038/s41598-021-87894-510.1038/s41598-021-87894-5 ↗
26. 10.1039/C5CP03599F10.1039/C5CP03599F ↗
27. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
28. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
29. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
30. 10.1021/ct400694h10.1021/ct400694h ↗
31. 10.1002/jcc.2029110.1002/jcc.20291 ↗
32. 10.1021/ja00124a00210.1021/ja00124a002 ↗
33. 10.1063/1.45856210.1063/1.458562 ↗
34. 10.1021/j100142a00410.1021/j100142a004 ↗
35. 10.1002/(SICI)1096-987X(199709)18:12<1463::AID-JCC4>3.0.CO;2-H10.1002/(SICI)1096-987X(199709)18:12<1463::AID-JCC4>3.0.CO;2-H ↗
36. 10.1063/1.240842010.1063/1.2408420 ↗
37. Schrödinger, L. The PyMOL Molecular Graphics System 1.8, 2015.