AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (10.5 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Mechanochemical graphene exfoliation with succinic acid to confine Ni nanoclusters for electrochemical nitrate reduction

Nitin Goyal1Zelong Zheng1Wenjie Lin1Fei Li1Sateesh Bandaru3 ( )Yi-bo Hu1,2 ( )
Xiamen Key Laboratory of Municipal and Industrial Solid Waste Utilization and Pollution Control, College of Civil Engineering, Huaqiao University, Xiamen 361021, China
School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Institute of Advanced Magnetic Materials, College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310012, China
Show Author Information

Abstract

Developing a sustainable synthesis method for functionalized graphene remains in a great demand. In this work, we developed a mechanochemical method for graphene production from graphite with succinic acid as the functionalization agent. Succinic acid effectively functionalized the surface of graphite with oxygen containing groups with the mechanical energy generated during ball milling, resulting in smooth exfoliation of graphene sheets. Density functional theory (DFT) and ab initio molecular dynamics (AIMD) simulations calculations revealed that the intact carboxyl –COOH group of the succinic acid interacts most favorably with the graphene surface, exhibiting a significantly lower adsorption energy barrier compared to the epoxyl >O and hydroxyl –OH groups. This result helps understand the thermodynamically predominant role of –COOH group in the functionalization and exfoliation process. On the other hand, the enriched oxygen groups provide abundant nucleation sites, obtaining smaller Ni nanoclusters (8–10 nm) on the graphene. Using the exfoliated graphene doped with highly dispersed Ni nanoclusters for electrochemical nitrate reduction yielded an outstanding ammonia production rate of 12.9 mg·cm−2·h−1 at −1.0 V versus reversible hydrogen electrode (RHE), with remarkable Faradaic efficiency of 90% and selectivity of 78%. Overall, this study establishes a sustainable and scalable method to synthesize functionalized graphene for efficient electrochemical conversion from nitrate to ammonia.

Graphical Abstract

The paper reports a mechanochemical graphene exfoliation strategy using succinic acid as an exfoliating agent to confine Ni nanoclusters smaller than 10 nm within graphene. The resulting catalyst exhibits high ammonia selectivity and a high ammonia production rate for the electrochemical reduction of nitrate to ammonia, demonstrating a scalable route toward the sustainable production of graphene-based catalysts and ammonia.

Electronic Supplementary Material

Download File(s)
8824_ESM.pdf (2.5 MB)

References

【1】
【1】
 
 
Nano Research
Article number: 94908824

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Goyal N, Zheng Z, Lin W, et al. Mechanochemical graphene exfoliation with succinic acid to confine Ni nanoclusters for electrochemical nitrate reduction. Nano Research, 2026, 19(10): 94908824. https://doi.org/10.26599/NR.2026.94908824
Topics:

735

Views

60

Downloads

0

Crossref

0

Web of Science

0

Scopus

0

CSCD

Received: 27 February 2026
Revised: 19 April 2026
Accepted: 08 May 2026
Published: 03 August 2026
© The Author(s) 2026. Published by Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).