Engineering a WTe2@Pt nanozyme for machine learning-empowered colorimetric H2O2 detection

Meimei Xu; Yusi Peng; Yuzhen Zhao; Qian Zhang; Rui Tian; Jiayin Shang; Teng Du; Cheng Ma; Wenqi Song; Zemin He; Zongcheng Miao; Yong Yang

doi:10.1039/D6CC01742H

Engineering a WTe₂@Pt nanozyme for machine learning-empowered colorimetric H₂O₂ detection

Meimei Xu,^a Yusi Peng,^c Yuzhen Zhao,

*^a Qian Zhang,^a Rui Tian,^a Jiayin Shang,^a Teng Du,^a Cheng Ma,^a Wenqi Song,^a Zemin He,

^a Zongcheng Miao

*^b and Yong Yang

*^c

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* Corresponding authors

^a Xi’an Key Laboratory of Advanced Photo-electronics Materials and Energy Conversion Device, Technological Institute of Materials &Energy Science (TIMES), Xijing University, Xi’an 710123, China
E-mail: zyz19870226@163.com, miaozongcheng@nwpu.edu.cn, yangyong@mail.sic.ac.cn

^b School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, PR China

^c State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People's Republic of China

Abstract

Novel Pt-anchored WTe₂ nanozyme with peroxidase-like activity enables H₂O₂ colorimetric detection via spectrophotometry and RF-powered POC using smartphone images (R² = 0.958), eliminating laboratory instruments.

Chemical Communications

Engineering a WTe₂@Pt nanozyme for machine learning-empowered colorimetric H₂O₂ detection

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Engineering a WTe₂@Pt nanozyme for machine learning-empowered colorimetric H₂O₂ detection

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