• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过将硝酸盐还原过程分为两个阶段,在硝酸锌电池系统中实现高效氨合成和能量供应。

Enabled Efficient Ammonia Synthesis and Energy Supply in a Zinc-Nitrate Battery System by Separating Nitrate Reduction Process into Two Stages.

作者信息

Jiang Haifeng, Chen Gao-Feng, Savateev Oleksandr, Xue Jian, Ding Liang-Xin, Liang Zhenxing, Antonietti Markus, Wang Haihui

机构信息

School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, 510640, China.

Beijing Key Laboratory for Membrane Materials and Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China.

出版信息

Angew Chem Int Ed Engl. 2023 Mar 20;62(13):e202218717. doi: 10.1002/anie.202218717. Epub 2023 Feb 16.

DOI:10.1002/anie.202218717
PMID:36728627
Abstract

The aqueous electrocatalytic reduction of NO into NH (NitrRR) presents a sustainable route applicable to NH production and potentially energy storage. However, the NitrRR involves a directly eight-electron transfer process generally required a large overpotential (<-0.2 V versus reversible hydrogen electrode (vs. RHE)) to reach optimal efficiency. Here, inspired by biological nitrate respiration, the NitrRR was separated into two stages along a [2+6]-electron pathway to alleviate the kinetic barrier. The system employed a Cu nanowire catalyst produces NO and NH with current efficiencies of 91.5 % and 100 %, respectively at lower overpotentials (>+0.1 vs. RHE). The high efficiency for such a reduction process was further explored in a zinc-nitrate battery. This battery could be specified by a high output voltage of 0.70 V, an average energy density of 566.7 Wh L at 10 mA cm and a power density of 14.1 mW cm , which is well beyond all previously reported similar concepts.

摘要

将NO电催化还原为NH₃(氮还原反应)提供了一条适用于NH₃生产及潜在储能的可持续途径。然而,氮还原反应涉及一个直接的八电子转移过程,通常需要较大的过电位(相对于可逆氢电极(vs. RHE)<-0.2 V)才能达到最佳效率。在此,受生物硝酸盐呼吸作用的启发,氮还原反应沿着[2+6]电子路径被分为两个阶段,以缓解动力学障碍。该系统采用铜纳米线催化剂,在较低过电位(相对于RHE>+0.1 V)下分别以91.5%和100%的电流效率产生NO₂⁻和NH₃。在硝酸锌电池中进一步探索了这种还原过程的高效率。该电池的特点是输出电压高达0.70 V,在10 mA cm⁻²时平均能量密度为566.7 Wh L⁻¹,功率密度为14.1 mW cm⁻²,这远远超过了此前报道的所有类似概念。

相似文献

1
Enabled Efficient Ammonia Synthesis and Energy Supply in a Zinc-Nitrate Battery System by Separating Nitrate Reduction Process into Two Stages.通过将硝酸盐还原过程分为两个阶段,在硝酸锌电池系统中实现高效氨合成和能量供应。
Angew Chem Int Ed Engl. 2023 Mar 20;62(13):e202218717. doi: 10.1002/anie.202218717. Epub 2023 Feb 16.
2
Ag-Co O -CoOOH-Nanowires Tandem Catalyst for Efficient Electrocatalytic Conversion of Nitrate to Ammonia at Low Overpotential via Triple Reactions.用于通过三重反应在低过电位下将硝酸盐高效电催化转化为氨的银-氧化钴-氢氧化氧钴纳米线串联催化剂。
Adv Sci (Weinh). 2023 Nov;10(33):e2303789. doi: 10.1002/advs.202303789. Epub 2023 Oct 11.
3
Electrocatalytic nitrate-to-ammonia conversion on CoO/CuO nanoarrays using Zn-nitrate batteries.使用硝酸锌电池在CoO/CuO纳米阵列上进行电催化硝酸盐到氨的转化
Nanoscale. 2023 Dec 14;15(48):19577-19585. doi: 10.1039/d3nr05254k.
4
Three-dimensional RuCo alloy nanosheets arrays integrated pinewood-derived porous carbon for high-efficiency electrocatalytic nitrate reduction to ammonia.三维钌钴合金纳米片阵列与松木衍生的多孔碳集成用于高效电催化硝酸盐还原制氨。
J Colloid Interface Sci. 2024 Aug 15;668:264-271. doi: 10.1016/j.jcis.2024.04.145. Epub 2024 Apr 21.
5
Optimized Intermediates Adsorption Configuration on Co-Doped FeP@NiP Heterojunction Interface for Enhanced Electrocatalytic Nitrate-To-Ammonia Conversion.用于增强电催化硝酸盐转化为氨的共掺杂FeP@NiP异质结界面上的优化中间体吸附构型
Small. 2024 Aug;20(32):e2312136. doi: 10.1002/smll.202312136. Epub 2024 Mar 14.
6
Mitigating Intraphase Catalytic-Domain Transfer via CO Laser for Enhanced Nitrate-to-Ammonia Electroconversion and Zn-Nitrate Battery Behavior.通过CO激光减轻相内催化域转移以增强硝酸盐到氨的电转化和锌-硝酸盐电池性能。
Angew Chem Int Ed Engl. 2024 Nov 18;63(47):e202413774. doi: 10.1002/anie.202413774. Epub 2024 Oct 14.
7
Cu Nanowires Encapsulated by ZIF67 for Efficient Ammonia Electrosynthesis from Nitrate.由ZIF67封装的铜纳米线用于高效硝酸盐电合成氨。
ChemSusChem. 2025 Apr 14;18(8):e202401418. doi: 10.1002/cssc.202401418. Epub 2024 Oct 18.
8
Pd-Doped Co O Nanoarray for Efficient Eight-Electron Nitrate Electrocatalytic Reduction to Ammonia Synthesis.钯掺杂氧化钴纳米阵列用于高效八电子硝酸盐电催化还原合成氨
Small. 2023 Oct;19(42):e2303424. doi: 10.1002/smll.202303424. Epub 2023 Jun 17.
9
Spatially Separated Cu/Ru on Ordered Mesoporous Carbon for Superior Ammonia Electrosynthesis from Nitrate over a Wide Potential Window.有序介孔碳上空间分离的铜/钌用于在宽电位窗口下从硝酸盐高效电合成氨
J Am Chem Soc. 2024 Sep 11;146(36):24966-24977. doi: 10.1021/jacs.4c06657. Epub 2024 Aug 28.
10
Tuning the Oxidation State of Cu Electrodes for Selective Electrosynthesis of Ammonia from Nitrate.调节铜电极的氧化态以实现从硝酸盐中选择性电合成氨
ACS Appl Mater Interfaces. 2021 Nov 10;13(44):52469-52478. doi: 10.1021/acsami.1c10946. Epub 2021 Nov 1.

引用本文的文献

1
Advances and Mechanistic Studies of Cu-Based Heterostructures for Nitrate Reduction.用于硝酸盐还原的铜基异质结构的研究进展与机理研究
Inorg Chem. 2025 Aug 18;64(32):16277-16288. doi: 10.1021/acs.inorgchem.5c01524. Epub 2025 Aug 1.
2
Nitrite Reductases in Biomedicine: From Natural Enzymes to Artificial Mimics.生物医学中的亚硝酸还原酶:从天然酶到人工模拟物
Research (Wash D C). 2025 May 28;8:0710. doi: 10.34133/research.0710. eCollection 2025.
3
Boosting the Performance of Electrocatalytic NO Reduction to NH by Decorating WS with Single Transition Metal Atoms: A DFT Study.
通过单过渡金属原子修饰WS提高电催化NO还原为NH₃的性能:一项密度泛函理论研究
Materials (Basel). 2025 May 17;18(10):2341. doi: 10.3390/ma18102341.
4
Two-Step Tandem Catalysis for High-Efficiency Ammonia Synthesis Via Nitrate Reduction on Anion-Intercalated CoNi LDH and Cu/CuO.通过阴离子插层的CoNi层状双氢氧化物和Cu/CuO上的硝酸盐还原实现两步串联催化高效合成氨
Adv Sci (Weinh). 2025 Jul;12(26):e2502262. doi: 10.1002/advs.202502262. Epub 2025 Apr 15.
5
TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process.用于预测化学合成氨过程的带随机森林的TCN-Transformer深度网络
ACS Omega. 2025 Jan 6;10(2):2269-2279. doi: 10.1021/acsomega.4c09634. eCollection 2025 Jan 21.
6
Valorization systems based on electrocatalytic nitrate/nitrite conversion for energy supply and valuable product synthesis.基于电催化硝酸盐/亚硝酸盐转化的能量供应和有价值产品合成的增值系统。
Chem Sci. 2024 Nov 29;16(4):1528-1559. doi: 10.1039/d4sc05936k. eCollection 2025 Jan 22.
7
Achieving over 90% Faradaic Efficiency in Cyclohexanone Oxime Electrosynthesis Using the Cu-Mo Dual-Site Catalyst.使用铜钼双位点催化剂在环己酮肟电合成中实现超过90%的法拉第效率。
J Am Chem Soc. 2024 Oct 9;146(40):27956-27963. doi: 10.1021/jacs.4c11413. Epub 2024 Sep 24.
8
Insights into the Origin of Activity Enhancement via Tuning Electronic Structure of CuO towards Electrocatalytic Ammonia Synthesis.通过调节CuO的电子结构对电催化氨合成活性增强起源的见解。
Molecules. 2024 May 11;29(10):2261. doi: 10.3390/molecules29102261.
9
Copper-based electro-catalytic nitrate reduction to ammonia from water: Mechanism, preparation, and research directions.基于铜的电催化从水中将硝酸盐还原为氨:机理、制备及研究方向。
Environ Sci Ecotechnol. 2023 Dec 28;20:100383. doi: 10.1016/j.ese.2023.100383. eCollection 2024 Jul.
10
Constructing molecule-metal relay catalysis over heterophase metallene for high-performance rechargeable zinc-nitrate/ethanol batteries.在异相金属烯上构建分子-金属接力催化用于高性能可充电硝酸锌/乙醇电池
Proc Natl Acad Sci U S A. 2023 Dec 12;120(50):e2311149120. doi: 10.1073/pnas.2311149120. Epub 2023 Dec 8.