Engineering a WTe ₂ @Pt nanozyme for machine learning-empowered colorimetric H ₂ O ₂ 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

January 1, 2026Chemical Communications

Engineering a WTe ₂ @Pt nanozyme for machine learning-empowered colorimetric H ₂ O ₂ detection

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Key Points

The study aims to develop a novel nanozyme for efficient H2O2 detection using machine learning methods.
Engineered Pt-anchored WTe2 nanozyme with peroxidase-like activity.
Utilized spectrophotometry for colorimetric detection of H2O2.
Applied machine learning to analyze smartphone-based colorimetric images.
Achieved a high correlation coefficient (R2 = 0.958) for colorimetric detection.
Enabled H2O2 detection without laboratory instruments.
Demonstrated practical applications for point-of-care testing.

Implication

Novel Pt-anchored WTe2 nanozyme detects H2O2 colorimetrically, indicating practical applications for POC testing.

Abstract

Novel Pt-anchored WTe 2 nanozyme with excellent peroxidase-like activity enables H 2 O 2 colorimetric detection via spectrophotometry and RF-empowered POC using smartphone-based colorimetric images ( R 2 = 0.958), eliminating laboratory instruments.

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Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/6a0567bca550a87e60a1ff00 https://doi.org/10.1039/d6cc01742h

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Engineering a WTe ₂ @Pt nanozyme for machine learning-empowered colorimetric H ₂ O ₂ detection

Key Points

Implication

Abstract

Discussion

Cite This Study

Engineering a WTe ₂ @Pt nanozyme for machine learning-empowered colorimetric H ₂ O ₂ detection

Key Points

Implication

Abstract

Discussion

Cite This Study

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