journal article·2026-02-18Open access

Trace Nickel Activated Biphasic Core‐CuO ii /Shell‐CuO i Secondary Microspheres Enable Room Temperature Parts‐Per‐Trillion‐Level NO 2 Detection

Bala Ismail Adamu, Peipei Chen, Shafia Mukhtar Ibrahim, Mukhtar Lawan Adam, Attia Falak, Mokhotjwa Simon Dhlamini, Hanfu Wang, Lingxiang Jiang, Weiguo Chu

Advanced Engineering Materials· Volume 28· Issue 4

Abstract

Design and fabrication of room temperature (RT) high‐performance sensors based on novel structures using low‐cost and straightforward approaches are not only technologically challenging but scientifically intriguing. Herein, biphasic CuO‐based core‐CuO i /shell‐CuO ii secondary microspheres are in situ activated by trace nickel and are prepared via phase separation and self‐assembly. Detailed X‐ray powder diffraction, X‐ray photoelectron spectra, UV, Raman spectra, and density functional theory calculations confirm the formation of biphasic isomorphous crystals. Owing to these unique structural properties, optimum RT performance is achieved for 1.758 wt% trace nickel with response (588.0%), sensitivity (1.37% parts‐per‐billion (ppb) −1 ), short response time (27 s) for 1000 ppb NO 2 , practical 16 ppb and theoretical 80 ppt LODs, excellent selectivity, and long‐term stability (over ten cycles), which are very outstanding among those reported. Interestingly, Schottky barriers were created between CuO i ‐/CuO ii ‐based cores and shells with the same crystal structures but different lattice constants, which are in situ doped with trace nickel simultaneously. Schottky barriers, catalytic, and spill‐over effects can be optimized by trace nickel doping to achieve optimum performance. Furthermore, a deep understanding of the NO 2 sensing mechanisms based on isomorphous biphases generated via phase separation, self‐assembly, and trace‐Ni element activation is proposed for the first time, informative to the scientific community for fabricating high‐performance nanosensors.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Copper-based nanomaterials and applications · Transition Metal Oxide Nanomaterials

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

Affiliations

Nanofabrication Laboratory CAS Key Laboratory of Nanophotonic Materials and Devices National Center for Nanoscience and Technology Beijing 100190 P. R. China

Department of Physics, College of Science Engineering and Technology University of South Africa Johannesburg 1710 South Africa

Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing 100049 P. R. China

School of Food Science and Engineering South China University of Technology Guangzhou 510640 China

Physics Department Federal University Dutse Jigawa 720101 Nigeria

Information Materials and Intelligent Sensing Laboratory of Anhui Province Key Laboratory of Structure and Functional Regulation of Hybrid Materials of Ministry of Education Institutes of Physical Science and Information Technology Anhui University Hefei 230601 China

Physics Department Bayero University Kano 700231 Nigeria

Department of Physics University of Punjab Quaid‐Azam Campus Lahore 54000 Pakistan

School of Emergent Soft Matter South China University of Technology Guangzhou 510640 China

Funding

Natural Science Foundation of Beijing Municipality · National Natural Science Foundation of China · Basic and Applied Basic Research Foundation of Guangdong Province · Guangdong Provincial Pearl River Talents Program

References (73)

Show source-provided references
1. 10.1021/acssensors.4c0091910.1021/acssensors.4c00919 ↗
2. 10.1021/acsanm.1c0183110.1021/acsanm.1c01831 ↗
3. 10.1021/acssensors.5c0028410.1021/acssensors.5c00284 ↗
4. 10.1016/j.snb.2024.13680310.1016/j.snb.2024.136803 ↗
5. 10.1016/j.jallcom.2024.17527110.1016/j.jallcom.2024.175271 ↗
6. 10.1016/j.snb.2017.10.19010.1016/j.snb.2017.10.190 ↗
7. 10.1021/cm402062810.1021/cm4020628 ↗
8. 10.1016/j.xinn.2020.10004710.1016/j.xinn.2020.100047 ↗
9. 10.1021/acssensors.8b0093710.1021/acssensors.8b00937 ↗
10. 10.1021/acs.nanolett.8b0484610.1021/acs.nanolett.8b04846 ↗
11. 10.1002/smll.20210325910.1002/smll.202103259 ↗
12. 10.1021/acs.nanolett.0c0222110.1021/acs.nanolett.0c02221 ↗
13. 10.1021/jp908850j10.1021/jp908850j ↗
14. 10.1021/acsami.9b1997110.1021/acsami.9b19971 ↗
15. 10.1088/0957-4484/20/11/11550110.1088/0957-4484/20/11/115501 ↗
16. 10.1039/C3NR04519F10.1039/C3NR04519F ↗
17. 10.1016/j.jallcom.2016.06.08610.1016/j.jallcom.2016.06.086 ↗
18. 10.1021/acsami.8b2050210.1021/acsami.8b20502 ↗
19. 10.1088/1361-6528/abd81810.1088/1361-6528/abd818 ↗
20. 10.1002/adfm.20180831910.1002/adfm.201808319 ↗
21. 10.1021/acs.nanolett.6b0171310.1021/acs.nanolett.6b01713 ↗
22. 10.1021/acsami.9b0726310.1021/acsami.9b07263 ↗
23. 10.1016/j.apsusc.2017.10.07410.1016/j.apsusc.2017.10.074 ↗
24. 10.1016/j.jallcom.2017.03.07910.1016/j.jallcom.2017.03.079 ↗
25. 10.1002/admi.20180007110.1002/admi.201800071 ↗
26. 10.1021/acsanm.1c0163610.1021/acsanm.1c01636 ↗
27. 10.1021/acsomega.9b0138210.1021/acsomega.9b01382 ↗
28. 10.1016/j.snb.2014.10.12510.1016/j.snb.2014.10.125 ↗
29. 10.1021/acs.jpcc.5b0689410.1021/acs.jpcc.5b06894 ↗
30. 10.1016/j.apsusc.2024.16063710.1016/j.apsusc.2024.160637 ↗
31. 10.1021/acsami.7b1454510.1021/acsami.7b14545 ↗
32. 10.1021/acssensors.4c0197910.1021/acssensors.4c01979 ↗
33. 10.1021/acsanm.4c0638310.1021/acsanm.4c06383 ↗
34. 10.1021/acs.jpcc.9b0860410.1021/acs.jpcc.9b08604 ↗
35. 10.1038/nmat315910.1038/nmat3159 ↗
36. 10.1016/S1872-2067(17)62796-710.1016/S1872-2067(17)62796-7 ↗
37. 10.1002/aenm.20170351910.1002/aenm.201703519 ↗
38. 10.1021/acsnano.5b0561010.1021/acsnano.5b05610 ↗
39. 10.1111/ijac.1262010.1111/ijac.12620 ↗
40. 10.1038/s41586-024-08296-x10.1038/s41586-024-08296-x ↗
41. 10.1021/acsami.1c1772110.1021/acsami.1c17721 ↗
42. 10.1002/adfm.20150222310.1002/adfm.201502223 ↗
43. 10.1021/acssensors.4c0079310.1021/acssensors.4c00793 ↗
44. 10.1021/acsami.0c1516210.1021/acsami.0c15162 ↗
45. 10.1021/acsanm.4c0174210.1021/acsanm.4c01742 ↗
46. 10.1016/j.snb.2024.13591610.1016/j.snb.2024.135916 ↗
47. 10.1021/am503318y10.1021/am503318y ↗
48. 10.1016/j.snb.2019.01.00710.1016/j.snb.2019.01.007 ↗
49. 10.1021/acsomega.7b0195810.1021/acsomega.7b01958 ↗
50. 10.1002/admi.20170149210.1002/admi.201701492 ↗
51. 10.1007/s12274-017-1688-y10.1007/s12274-017-1688-y ↗
52. 10.1021/acsami.6b0289310.1021/acsami.6b02893 ↗
53. 10.1021/acsaelm.9b0081010.1021/acsaelm.9b00810 ↗
54. 10.1021/acsami.0c1470410.1021/acsami.0c14704 ↗
55. 10.1021/acsanm.0c0092210.1021/acsanm.0c00922 ↗
56. 10.1016/j.apsusc.2020.14793310.1016/j.apsusc.2020.147933 ↗
57. 10.1021/acsami.0c2298710.1021/acsami.0c22987 ↗
58. 10.1002/adma.20170319210.1002/adma.201703192 ↗
59. 10.1021/acs.analchem.9b0108910.1021/acs.analchem.9b01089 ↗
60. 10.1021/acsami.0c0859310.1021/acsami.0c08593 ↗
61. 10.1021/acsnano.0c0901510.1021/acsnano.0c09015 ↗
62. 10.1016/j.snb.2020.12771110.1016/j.snb.2020.127711 ↗
63. 10.1021/acsami.9b1720110.1021/acsami.9b17201 ↗
64. 10.1021/acsami.9b0695110.1021/acsami.9b06951 ↗
65. 10.1016/j.nanoen.2023.10878810.1016/j.nanoen.2023.108788 ↗
66. 10.1021/acssensors.0c0029010.1021/acssensors.0c00290 ↗
67. 10.1021/acsnano.6b0649510.1021/acsnano.6b06495 ↗
68. 10.1038/s41467-021-27652-310.1038/s41467-021-27652-3 ↗
69. 10.1021/acsaem.5c0140210.1021/acsaem.5c01402 ↗
70. 10.1088/0957-4484/17/4/04210.1088/0957-4484/17/4/042 ↗
71. 10.1063/5.002266810.1063/5.0022668 ↗
72. 10.1016/j.snb.2022.13251610.1016/j.snb.2022.132516 ↗
73. 10.1016/j.snb.2022.13180310.1016/j.snb.2022.131803 ↗