Machine Learning-Assisted Sensor Based on CsPbBr<sub>3</sub>@ZnO Nanocrystals for Identifying Methanol in Mixed Environments-Reference-Cited by-同舟云学术

Machine Learning-Assisted Sensor Based on CsPbBr₃@ZnO Nanocrystals for Identifying Methanol in Mixed Environments

Published:2023-03-10 Issue:3 Volume:8 Page:1252-1260
ISSN:2379-3694
Container-title:ACS Sensors
language:en
Short-container-title:ACS Sens.

Author:

Xuan Wufan¹²,Zheng Lina¹²^ORCID,Cao Lei¹²,Miao Shujie¹²,Hu Dunan³,Zhu Lei⁴,Zhao Yulong³,Qiang Yinghuai³,Gu Xiuquan³,Huang Sheng¹²³^ORCID

Affiliation:

1. Jiangsu Engineering Research Center for Dust Control and Occupational Protection, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China

2. School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China

3. School of Materials Science and Physics, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China

4. Advanced Analysis & Computation Center, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China

Funder

China Postdoctoral Science Foundation

Natural Science Foundation of Jiangsu Province

Central University Basic Research Fund of China

Government of Jiangsu Province

Publisher

American Chemical Society (ACS)

Subject

Fluid Flow and Transfer Processes,Process Chemistry and Technology,Instrumentation,Bioengineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acssensors.2c02656

Reference44 articles.

1. Methanol Contamination of Romanian Home-Distilled Alcohol

2. Volatile Biomarkers in Breath Associated With Liver Cirrhosis — Comparisons of Pre- and Post-liver Transplant Breath Samples

3. NMR Profiling of Exhaled Breath Condensate Defines Different Metabolic Phenotypes of Non-Cystic Fibrosis bronchiectasis

4. Electrospun Co3O4 nanoparticles and its methanol detection property

5. Diagnosis of COVID-19 by analysis of breath with gas chromatography-ion mobility spectrometry - a feasibility study

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