Ultra-low LOD H2O2 Sensor Based on Synergistic Nernst Potential Effect (Adv. Sci. 26/2025)

IF 14.1 1区材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Advanced Science Pub Date : 2025-07-10 DOI:10.1002/advs.202570203

Zhaoqun Wang, Wen Gao, Xiaorong Niu, Yuhang Liu, Zichen Jin, Fan Zhang, Zhengdong Cheng, Xiaoning Jiang, Wendong Zhang, Ting Wang, Jianlong Ji, Xiaojie Chai, Shengbo Sang

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引用次数: 0

Abstract

Ultra-low LOD H₂O₂ Sensor

In article number 2413898, Jianlong Ji, Xiaojie Chai, Shengbo Sang, and co-workers achieve ultra-sensitive H₂O₂ detection (LOD: 1.8×10⁻¹² M) via stacked PEDOT: BTB/PEDOT: PSS layers by leveraging the synergistic effect of $E_{Nernst, H_{2} O_{2}}$ and $E_{Nernst, H^{+}}$ . The novel methodology pioneers a universal strategy to minimize LODs, which applies to H₂O₂ detection and can be widely used for analyte detection based on enzyme-catalyzed reactions.

Abstract Image

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基于协同能势效应的超低LOD H2O2传感器（科学进展，26/2025）

在文章编号2413898中，吉建龙，柴晓杰，桑圣波等人通过堆叠PEDOT实现了超灵敏H2O2检测（LOD: 1.8×10−12 M）： BTB/PEDOT：PSS层利用E能的协同效应，H 2 O 2 ${E}_{\mathrm{nerst},\ {\mathrm{H}}_{2}{\mathrm{O}}_{2}}$和E nerst，H + ${E}_{\ mathm {Nernst},\ {\ mathm {H}}^{+}}$。这种新方法开创了一种最小化lod的通用策略，适用于H2O2检测，可广泛用于基于酶催化反应的分析物检测。

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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来源期刊

Advanced Science CHEMISTRY, MULTIDISCIPLINARYNANOSCIENCE &-NANOSCIENCE & NANOTECHNOLOGY

CiteScore

18.90

自引率

2.60%

发文量

1602

审稿时长

1.9 months

期刊介绍： Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.