journal article·2025-10-08

Exceptional NH 3 Detection by Cu(cyhdc) MOF Sensor Due to H 2 O Coadsorption

Leo J. Small, Stephen J. Percival, Matthew J. Hurlock, David X. Rademacher, Michael E. Ureña, Melissa L. Meyerson, Mara E. Schindelholz, Tina M. Nenoff

Publisher page

Abstract

Metal–organic framework (MOF)-based electrical impedance sensors are a growing class of sensors that show utility in the detection of environmentally toxic gases. Detection of trace NH 3 has been particularly difficult to design due to the low electrical response of NH 3 . However, this has been circumvented by judiciously selecting a MOF that has enhanced electrical response to NH 3 due to coadsorption with predominant atmospheric gases such as water. Herein, an MOF Cu(cyhdc) based sensor has been successfully demonstrated for the enhanced detection of environmentally toxic NH 3 gas. The sensor shows a change in impedance when it is exposed to 5 ppm of NH 3 . At 20 °C, >30% relative humidity (RH) is necessary to elicit a change, with the response increasing with RH and reaching 3170× at 92% RH, producing the largest published response to NH 3 for a MOF direct electrical sensor. In the absence of water, no change is observed toward 5 ppm of NH 3 over 20–50 °C. This electrical response is largely driven by huge decreases in the imaginary component of the impedance, attributed to increased capacitance at the surface of the MOF crystallites upon NH 3 and H 2 O coadsorption. Complementary structural and microstructural characterization proves that the Cu(cyhdc) crystalline structure and morphology remain intact under trace NH 3 and/or H 2 O adsorption. Despite extremely low NH 3, loadings seen in TGA, XPS, and FT-IR confirm NH 3 and H 2 O adsorption, and changes to the metal-carboxylate IR peak positions are observed upon NH 3 adsorption. Concentrated primarily at the outer surfaces of the MOF crystallites, this NH 3 and H 2 O coadsorption effectively increases the surface capacitance across the Cu(cyhdc) powder and enables direct electrical detection of trace NH 3 . Together, these results demonstrate how coadsorption of specific molecules (H 2 O) can be used to enable the electrical detection of trace toxic gases that would otherwise not have produced a MOF sensor response.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Metal-Organic Frameworks: Synthesis and Applications · Advanced Nanomaterials in Catalysis

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

Affiliations

Sandia National Laboratories

Funding

Office of Defense Programs

References (54)

Show source-provided references
1. 10.1002/anie.20210625910.1002/anie.202106259 ↗
2. 10.1021/cr200324t10.1021/cr200324t ↗
3. 10.1021/acs.accounts.4c0031910.1021/acs.accounts.4c00319 ↗
4. 10.1021/ic301145810.1021/ic3011458 ↗
5. 10.1038/s41467-019-09157-210.1038/s41467-019-09157-2 ↗
6. 10.1021/acssensors.7b0001410.1021/acssensors.7b00014 ↗
7. 10.1002/adma.20220684210.1002/adma.202206842 ↗
8. 10.1021/acs.iecr.1c0126610.1021/acs.iecr.1c01266 ↗
9. 10.1002/anie.20200640210.1002/anie.202006402 ↗
10. 10.1016/j.nanoen.2020.10536910.1016/j.nanoen.2020.105369 ↗
11. 10.1039/C4CS00096J10.1039/C4CS00096J ↗
12. 10.1002/adfm.20200659810.1002/adfm.202006598 ↗
13. Hurlock, M. J.; Christian, M. S.; Small, L. J.; Percival, S. J.; Rademacher, D. X.; Schindelholz, M. E.; Nenoff, T. M. Enhanced Electrical NO 2 Detection Using Mixed Metal MOF-on-MOF Thin Film Sensors . In Review, 2024.
14. 10.1039/C7TA10538J10.1039/C7TA10538J ↗
15. 10.1002/anie.20160878010.1002/anie.201608780 ↗
16. 10.1021/jacs.8b1125710.1021/jacs.8b11257 ↗
17. 10.1021/acscentsci.9b0048210.1021/acscentsci.9b00482 ↗
18. 10.1002/anie.20211366510.1002/anie.202113665 ↗
19. 10.1021/acsami.7b1638110.1021/acsami.7b16381 ↗
20. 10.1021/acsami.9b0993810.1021/acsami.9b09938 ↗
21. 10.1021/accountsmr.4c0018310.1021/accountsmr.4c00183 ↗
22. 10.1021/jacs.0c1193010.1021/jacs.0c11930 ↗
23. 10.1002/anie.20180831610.1002/anie.201808316 ↗
24. 10.1039/d2cc01197b10.1039/d2cc01197b ↗
25. 10.1039/D4CC01449A10.1039/D4CC01449A ↗
26. 10.1021/jacs.1c0174910.1021/jacs.1c01749 ↗
27. 10.1002/anie.20221203210.1002/anie.202212032 ↗
28. 10.1002/anie.20201255210.1002/anie.202012552 ↗
29. 10.1021/jacs.2c0111710.1021/jacs.2c01117 ↗
30. 10.1038/s41586-022-05409-210.1038/s41586-022-05409-2 ↗
31. 10.1021/jacs.2c0095210.1021/jacs.2c00952 ↗
32. 10.1038/s42004-023-00850-410.1038/s42004-023-00850-4 ↗
33. 10.1021/acsmaterialslett.9b0030710.1021/acsmaterialslett.9b00307 ↗
34. 10.1021/acscentsci.1c0037010.1021/acscentsci.1c00370 ↗
35. 10.1021/jacs.8b0031310.1021/jacs.8b00313 ↗
36. 10.1021/ja410547810.1021/ja4105478 ↗
37. 10.1016/j.materresbull.2022.11177010.1016/j.materresbull.2022.111770 ↗
38. 10.1038/s41467-023-42959-z10.1038/s41467-023-42959-z ↗
39. 10.1021/acsami.0c1842210.1021/acsami.0c18422 ↗
40. 10.1002/anie.20211151910.1002/anie.202111519 ↗
41. 10.1002/anie.20170955810.1002/anie.201709558 ↗
42. 10.1039/C5TA01738F10.1039/C5TA01738F ↗
43. 10.1002/anie.20190909610.1002/anie.201909096 ↗
44. Percival, S. J.; Small, L. J.; Nenoff, T. M.; Schindelholz, M. E.; Bachman, W. B.; Hurlock, M. Low Power MOF-based Sensor with Simple, Passive Gas Detection System. US Patent Application 63/450,260. 2/14/2024, 2024.
45. 10.1021/jacs.5b0960010.1021/jacs.5b09600 ↗
46. 10.1021/acsami.3c0686410.1021/acsami.3c06864 ↗
47. 10.1039/D4AN00520A10.1039/D4AN00520A ↗
48. 10.1021/acsami.1c1742910.1021/acsami.1c17429 ↗
49. 10.1021/acs.analchem.0c0366410.1021/acs.analchem.0c03664 ↗
50. 10.1002/ange.20250735610.1002/ange.202507356 ↗
51. 10.1021/ic070167u10.1021/ic070167u ↗
52. 10.1021/acs.chemrev.0c0048710.1021/acs.chemrev.0c00487 ↗
53. Bard A. J. · 2000
54. 10.1038/s41563-019-0598-710.1038/s41563-019-0598-7 ↗