Jiangbin Guo, Xiao Chang, Wenyang Zheng, Jun Zhang, Xianghong Liu
{"title":"利用pd敏化氧空位工程协同增强WO3纳米片对NO2的传感","authors":"Jiangbin Guo, Xiao Chang, Wenyang Zheng, Jun Zhang, Xianghong Liu","doi":"10.1021/acssensors.5c01952","DOIUrl":null,"url":null,"abstract":"The strategic integration of metal catalysts with atomic defects in functional materials offers a promising pathway to tailor desired properties. In this study, we demonstrate a high-performance NO<sub>2</sub> gas sensor utilizing Pd-sensitized, oxygen vacancy-rich WO<sub>3</sub> nanoplates. Pd nanoparticles were precisely deposited on WO<sub>3</sub> via atomic layer deposition (ALD), which not only enhanced the oxygen vacancy (O<sub>v</sub>) concentration but also optimized the electronic structure of the material. The resulting Pd-WO<sub>3</sub>-O<sub>v</sub> sensor exhibited a significantly improved response of 84.57 to 10 ppm of NO<sub>2</sub>─3.5 times higher than pristine WO<sub>3</sub>. The synergistic interplay between Pd catalysts and oxygen vacancies was found to simultaneously lower the operating temperature and amplify both the sensitivity and response speed. Density functional theory (DFT) calculations further confirmed that oxygen vacancies facilitate robust Pd–WO<sub>3</sub> interactions, elucidating the mechanism behind the enhanced performance. This work provides a novel design strategy for developing advanced gas sensors through defect and catalyst engineering.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"214 1","pages":""},"PeriodicalIF":9.1000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synergistic Enhancement of NO2 Sensing via Pd-Sensitized Oxygen Vacancy Engineering in WO3 Nanoplates\",\"authors\":\"Jiangbin Guo, Xiao Chang, Wenyang Zheng, Jun Zhang, Xianghong Liu\",\"doi\":\"10.1021/acssensors.5c01952\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The strategic integration of metal catalysts with atomic defects in functional materials offers a promising pathway to tailor desired properties. In this study, we demonstrate a high-performance NO<sub>2</sub> gas sensor utilizing Pd-sensitized, oxygen vacancy-rich WO<sub>3</sub> nanoplates. Pd nanoparticles were precisely deposited on WO<sub>3</sub> via atomic layer deposition (ALD), which not only enhanced the oxygen vacancy (O<sub>v</sub>) concentration but also optimized the electronic structure of the material. The resulting Pd-WO<sub>3</sub>-O<sub>v</sub> sensor exhibited a significantly improved response of 84.57 to 10 ppm of NO<sub>2</sub>─3.5 times higher than pristine WO<sub>3</sub>. The synergistic interplay between Pd catalysts and oxygen vacancies was found to simultaneously lower the operating temperature and amplify both the sensitivity and response speed. Density functional theory (DFT) calculations further confirmed that oxygen vacancies facilitate robust Pd–WO<sub>3</sub> interactions, elucidating the mechanism behind the enhanced performance. This work provides a novel design strategy for developing advanced gas sensors through defect and catalyst engineering.\",\"PeriodicalId\":24,\"journal\":{\"name\":\"ACS Sensors\",\"volume\":\"214 1\",\"pages\":\"\"},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Sensors\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1021/acssensors.5c01952\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Sensors","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acssensors.5c01952","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Synergistic Enhancement of NO2 Sensing via Pd-Sensitized Oxygen Vacancy Engineering in WO3 Nanoplates
The strategic integration of metal catalysts with atomic defects in functional materials offers a promising pathway to tailor desired properties. In this study, we demonstrate a high-performance NO2 gas sensor utilizing Pd-sensitized, oxygen vacancy-rich WO3 nanoplates. Pd nanoparticles were precisely deposited on WO3 via atomic layer deposition (ALD), which not only enhanced the oxygen vacancy (Ov) concentration but also optimized the electronic structure of the material. The resulting Pd-WO3-Ov sensor exhibited a significantly improved response of 84.57 to 10 ppm of NO2─3.5 times higher than pristine WO3. The synergistic interplay between Pd catalysts and oxygen vacancies was found to simultaneously lower the operating temperature and amplify both the sensitivity and response speed. Density functional theory (DFT) calculations further confirmed that oxygen vacancies facilitate robust Pd–WO3 interactions, elucidating the mechanism behind the enhanced performance. This work provides a novel design strategy for developing advanced gas sensors through defect and catalyst engineering.
期刊介绍:
ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.