journal article·2020-11-24

Evaluating Insect Odorant Receptor Display Formats for Biosensing Using Graphene Field Effect Transistors

Thanihaichelvan Murugathas, Cyril Hamiaux, Damon Colbert, Andrew V. Kralicek, Natalie O. V. Plank, Colm Carraher

ACS Applied Electronic Materials· Volume 2· Issue 11
Publisher page

Abstract

Graphene field effect transistor (GFET) biosensors have been used to evaluate insect odorant receptor (OR) display formats and the effect of the presence of the Orco subunit on in vitro sensing using OR subunits. The biosensors were fabricated by immobilizing the OR nanodiscs and OR ± Orco liposomes onto GFET devices. Two ORs from Drosophila melanogaster (DmelOR10a and DmelOR22a) were used in this study. We demonstrated that both DmelOR10a and DmelOR22a in nanodiscs and OR ± Orco liposomes showed a selective electrical response to their respective positive ligands, methyl salicylate and methyl hexanoate. The OR nanodisc sensors produced the strongest sensing signal with a limit of detection of 1 fm. We also found that the upper detection limit was increased, and the sensitivity of the Orco coexpressed liposome sensors was enhanced by approximately an order of magnitude when compared to the OR liposome sensors.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Neurobiology and Insect Physiology Research · Insect and Arachnid Ecology and Behavior · Electrochemical sensors and biosensors

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

Affiliations

School of Chemical and Physical Sciences, Victoria University of Wellington, Wellington 6021, New Zealand

The MacDiarmid Institute for Advanced Materials and Nanotechnology, Wellington 6021, New Zealand

Department of Physics, University of Jaffna, Jaffna 40000, Sri Lanka

The New Zealand Institute for Plant and Food Research Limited, Auckland 1142, New Zealand

Funding

Royal Society of New Zealand · The MacDiarmid Institute for Advanced Materials and Nanotechnology · Kiwi Innovation Network

References (45)

Show source-provided references
1. 10.1021/acsami.8b1943310.1021/acsami.8b19433 ↗
2. 10.1002/elan.20180073310.1002/elan.201800733 ↗
3. 10.1016/j.bios.2018.10.04310.1016/j.bios.2018.10.043 ↗
4. 10.1007/s10886-016-0726-710.1007/s10886-016-0726-7 ↗
5. 10.1016/j.bios.2014.10.02610.1016/j.bios.2014.10.026 ↗
6. 10.1073/pnas.100433410710.1073/pnas.1004334107 ↗
7. 10.1098/rsos.17236610.1098/rsos.172366 ↗
8. 10.1002/anie.20140472010.1002/anie.201404720 ↗
9. 10.1186/s12951-018-0400-z10.1186/s12951-018-0400-z ↗
10. 10.1073/pnas.110242510810.1073/pnas.1102425108 ↗
11. 10.1016/j.ibmb.2012.11.00210.1016/j.ibmb.2012.11.002 ↗
12. 10.1016/j.ibmb.2015.09.01010.1016/j.ibmb.2015.09.010 ↗
13. 10.1021/nl301714x10.1021/nl301714x ↗
14. 10.1021/acs.nanolett.5b0228610.1021/acs.nanolett.5b02286 ↗
15. 10.1021/acsnano.6b0254710.1021/acsnano.6b02547 ↗
16. Ko H. J. · 2018 · 47710.1002/9783527803293.ch27 ↗
17. 10.1242/jeb.02303610.1242/jeb.023036 ↗
18. 10.1016/j.bios.2020.11204010.1016/j.bios.2020.112040 ↗
19. 10.1016/j.bios.2018.09.02110.1016/j.bios.2018.09.021 ↗
20. 10.1016/j.snb.2016.09.13710.1016/j.snb.2016.09.137 ↗
21. 10.1038/s41598-019-38700-w10.1038/s41598-019-38700-w ↗
22. 10.1021/nl025623k10.1021/nl025623k ↗
23. 10.1110/ps.0326750310.1110/ps.03267503 ↗
24. 10.1074/jbc.m70143320010.1074/jbc.m701433200 ↗
25. 10.1016/j.pep.2013.06.00210.1016/j.pep.2013.06.002 ↗
26. 10.1016/s0076-6879(09)64011-810.1016/s0076-6879(09)64011-8 ↗
27. 10.1016/j.dib.2018.09.09310.1016/j.dib.2018.09.093 ↗
28. 10.1002/viw2.110.1002/viw2.1 ↗
29. 10.1002/smtd.20190046910.1002/smtd.201900469 ↗
30. 10.1021/acscentsci.7b0054610.1021/acscentsci.7b00546 ↗
31. 10.1038/s41586-018-0420-810.1038/s41586-018-0420-8 ↗
32. 10.1002/anie.20150571210.1002/anie.201505712 ↗
33. 10.1088/0957-4484/24/35/35550210.1088/0957-4484/24/35/355502 ↗
34. 10.1186/1556-276x-9-37110.1186/1556-276x-9-371 ↗
35. 10.1016/j.coelec.2017.03.00210.1016/j.coelec.2017.03.002 ↗
36. 10.1021/nl034985510.1021/nl0349855 ↗
37. 10.1021/nl072996i10.1021/nl072996i ↗
38. 10.1103/physrevlett.91.21830110.1103/physrevlett.91.218301 ↗
39. 10.1021/jp308502810.1021/jp3085028 ↗
40. 10.1038/hdy.2009.5510.1038/hdy.2009.55 ↗
41. 10.1146/annurev-ento-120811-15363510.1146/annurev-ento-120811-153635 ↗
42. 10.1016/j.neuron.2011.11.00310.1016/j.neuron.2011.11.003 ↗
43. 10.1371/journal.pbio.004002010.1371/journal.pbio.0040020 ↗
44. 10.1016/j.neuron.2004.08.01910.1016/j.neuron.2004.08.019 ↗
45. 10.1085/jgp.20181222610.1085/jgp.201812226 ↗