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通过 pH 自响应实现电催化自调节的两性共轭配体修饰的 3d 金属-CN 智能电催化剂的自适应电子结构。

Self-Adaptive Electronic Structure of Amphoteric Conjugated Ligand-Modified 3 d Metal-C N Smart Electrocatalyst by pH Self-Response Realizing Electrocatalytic Self-Adjustment.

机构信息

School of Materials Science and Engineering, Shaanxi Key Laboratory of Green Preparation and Functionalization for Inorganic Materials, Shaanxi University of Science and Technology, Xi'an, 710021, P. R. China.

College of Materials Science and Engineering, State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, Donghua University, Shanghai, 201620, P. R. China.

出版信息

ChemSusChem. 2023 May 5;16(9):e202300078. doi: 10.1002/cssc.202300078. Epub 2023 Mar 21.

Abstract

Constructing pH-responsive smart material provides a new opportunity to address the problem that traditional electrocatalysts cannot achieve both alkaline oxygen evolution reaction (OER) and acidic hydrogen evolution reaction (HER) activities. In this study, amphoteric conjugated ligand (2-aminoterephthalic acid, BDC-NH )-modified 3d metal-anchored graphitic carbon nitride (3d metal-C N ) smart electrocatalysts are constructed, and self-adaptation of the electronic structure is realized by self-response to pH stimulation, which results in self-adjustment of alkaline OER and acidic HER. Specifically, the amino and carboxyl functional groups in BDC-NH undergo protonation and deprotonation respectively under different pH stimulation to adapt to environmental changes. Through DFT calculations, the increase or decrease of electron delocalization range brought by the self-response characteristic is found to lead to redistribution of the Bader charge around the modified active sites. The OER and HER activities are greatly promoted roughly 4.8 and 8.5 times over Co-C N after BDC-NH -induced self-adaptive processes under different environments, arising from the reduced energy barrier of O* to OOH* and ΔG . Impressively, the proposed BDC-NH -induced smart regulation strategy is applicable to a series of 3d metal anchors for C N , including Co, Ni and Fe, providing a general structural upgrading method for constructing smart electrocatalytic systems.

摘要

构建 pH 响应型智能材料为解决传统电催化剂不能同时实现碱性析氧反应 (OER) 和酸性析氢反应 (HER) 这一问题提供了新的契机。在这项研究中,构建了两性共轭配体(2-氨基对苯二甲酸,BDC-NH )修饰的 3d 金属锚定石墨相氮化碳(3d 金属-C N )智能电催化剂,通过自身对 pH 刺激的响应来实现电子结构的自适应,从而实现碱性 OER 和酸性 HER 的自我调节。具体来说,BDC-NH 中的氨基和羧基官能团在不同的 pH 刺激下分别发生质子化和去质子化,以适应环境变化。通过 DFT 计算,发现自响应特性带来的电子离域范围的增加或减少会导致修饰活性位点周围 Bader 电荷的重新分布。在不同环境下经过 BDC-NH 诱导的自适应过程后,Co-C N 的 OER 和 HER 活性分别大大提高了约 4.8 倍和 8.5 倍,这归因于 O到 OOH和 ΔG 的能量势垒降低。令人印象深刻的是,所提出的 BDC-NH 诱导的智能调节策略适用于一系列 3d 金属锚定的 C N ,包括 Co、Ni 和 Fe,为构建智能电催化体系提供了一种通用的结构升级方法。

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