A machine vision tool for multi-color H2O2 sensing by MoOx nanoparticles with oxygen vacancies-Reference-Cited by-同舟云学术

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A machine vision tool for multi-color H2O2 sensing by MoOx nanoparticles with oxygen vacancies

Published:2025-01 Issue: Volume:324 Page:124953
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Cheng Cheng,Zheng Zhaokang,Liu Zhen,Chen Zhiwei,Li Xingying,Liu Weiyong,Wang Aiwu,Zhou Cangtao

Funder

Science, Technology and Innovation Commission of Shenzhen Municipality

National Aerospace Science Foundation of China

Natural Science Foundation of Xinjiang

Publisher

Elsevier BV

Reference45 articles.

1. Electrochemical properties of Ce-doped SrFeO3 perovskites-modified electrodes towards hydrogen peroxide oxidation;Deganello;Electrochim. Acta,2016

2. La0.6Sr0.4FeO3-δ and La0.6Sr0.4Co0.2Fe0.8O3-δ perovskite materials for H2O2 and glucose electrochemical sensors;Liotta;Electroanalysis,2015

3. Electrochemical hydrogen peroxide sensors based on electrospun La0.7Sr0.3Mn0.75Co0.25O3 nanofiber modified electrodes;Xu;Anal. Methods,2015

4. Triplex glycan quantification by metabolic labeling with isotopically labeled glucose in yeast;Pham;Anal. Chim. Acta,2024

5. Thiol redox homeostasis in neurodegenerative disease;McBean;Redox Biol.,2015

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