应用于微流控燃料电池的非生物、混合和生物电催化材料:全面综述

IF 4.6 Q1 CHEMISTRY, ANALYTICAL ACS Measurement Science Au Pub Date : 2023-11-06 DOI:10.1021/acsmeasuresciau.3c00044
D. V. Estrada-Osorio, Ricardo A. Escalona-Villalpando, M. P. Gurrola, Ricardo Chaparro-Sánchez, J. A. Rodríguez-Morales, L. G. Arriaga and J. Ledesma-García*, 
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摘要

本文概述了过去十年中微流体燃料电池领域的研究成果。为了开展适当的研究,作者考虑了最常用的电催化材料,并根据其性质提出了新的分类方法:非生物、混合或生物。通过这种分类,作者可以对收集到的信息进行鉴别。从这个意义上说,作者介绍了在不同环境中用于氧化葡萄糖、乙醇、甲醇、甘油和乳酸盐等最常见燃料的电催化剂类型。本文介绍了几种现象。这些信息概述了电催化材料领域的研究方向,无论微流体燃料电池使用何种燃料:合成非生物和生物材料,以获得混合材料,从而利用每种材料的最佳特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Abiotic, Hybrid, and Biological Electrocatalytic Materials Applied in Microfluidic Fuel Cells: A Comprehensive Review

This article provides an overview of the work reported in the past decade in the field of microfluidic fuel cells. To develop appropriate research, the most commonly used electrocatalytic materials were considered and a new classification was proposed based on their nature: abiotic, hybrid, or biological. This classification allowed the authors to discern the information collected. In this sense, the types of electrocatalysts used for the oxidation of the most common fuels in different environments, such as glucose, ethanol, methanol, glycerol, and lactate, were presented. There are several phenomena presented in this article. This information gives an overview of where research is heading in the field of materials for electrocatalysis, regardless of the fuel used in the microfluidic fuel cell: the synthesis of abiotic and biological materials to obtain hybrid materials that allow the use of the best properties of each material.

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来源期刊
ACS Measurement Science Au
ACS Measurement Science Au 化学计量学-
CiteScore
5.20
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0.00%
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0
期刊介绍: ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.
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