Defect-Engineered WO<sub>3–<i>x</i></sub> Architectures Coupled with Random Forest Algorithm Enables Real-Time Seafood Quality Assessment-Reference-Cited by-同舟云学术

Defect-Engineered WO_3–x Architectures Coupled with Random Forest Algorithm Enables Real-Time Seafood Quality Assessment

Published:2024-08-03 Issue:8 Volume:9 Page:4196-4206
ISSN:2379-3694
Container-title:ACS Sensors
language:en
Short-container-title:ACS Sens.

Author:

Zhang Ziqi¹,Liang Junxuan¹,Liu Kai¹,Tian Weiliang²^ORCID,Liang Xu¹,Zhao Kun³^ORCID,Zhang Kewei¹²^ORCID

Affiliation:

1. State Key Laboratory of Bio-Fibers and Eco-Textiles, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, P. R. China

2. Key Laboratory of Chemical Engineering in South Xinjiang, College of Chemistry and Chemical Engineering, Tarim University, Alar 843300, P. R. China

3. State Key Laboratory of Advanced Processing and Recycling of Nonferrous Metals, Lanzhou University of Technology, Lanzhou 730050, P. R. China

Funder

State Key Laboratory of Organic–Inorganic Composites

Natural Science Foundation of Qingdao Municipality

Taishan Scholar Project of Shandong Province

Central Government Guiding Funds for Local Science and Technology Development

Youth Innovation Team Project of Shandong Province

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acssensors.4c01192

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