From Raman Spectral Fingerprints to Interfacial Diagnostics in Nitrate Electroreduction

ABSTRACT Electrochemical nitrate reduction to ammonia couples nitrogen‐pollutant remediation with sustainable ammonia synthesis, yet its complex interfacial reaction network remains difficult to resolve. In situ Raman spectroscopy provides access to aqueous interfacial chemistry, adsorbed NO x species, dynamic catalyst phases, and local microenvironments under operating conditions. However, many studies still rely mainly on peak assignment, even though the mechanistic reliability of individual spectral features varies substantially. This Perspective presents a Raman‐centered diagnostic framework for nitrate electroreduction. Raman signals are organized into four interfacial readouts: adsorbed nitrate and nitrite species, hydrogenated nitrogen intermediates, catalyst reconstruction, and interfacial water and ion structures. An evidence hierarchy is introduced to assess Raman assignments through isotope labeling, potential‐, time‐, and space‐resolved measurements, multimodal validation, and quantitative correlations with product distributions. Emerging opportunities in evidence‐ranked spectral atlases, interpretable data‐driven analysis, and online Raman monitoring are also discussed. By moving beyond isolated spectral fingerprints, in situ Raman spectroscopy serves as a dynamic interfacial probe for understanding, comparing, and ultimately controlling nitrate electroreduction.

Authors

Institutions

Publication Details

Journal
Small
Published
2026-10-13
DOI
https://doi.org/10.1002/smll.76240
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From Raman Spectral Fingerprints to Interfacial Diagnostics in Nitrate Electroreduction

Xiaodong Guo, Longcheng Zhang, Ling Li, Xinni Ng
Small
Ammonia Synthesis and Nitrogen Reduction
article

From Raman Spectral Fingerprints to Interfacial Diagnostics in Nitrate Electroreduction

Xiaodong Guo, Longcheng Zhang, Ling Li, Xinni Ng
article en

Abstract

ABSTRACT Electrochemical nitrate reduction to ammonia couples nitrogen‐pollutant remediation with sustainable ammonia synthesis, yet its complex interfacial reaction network remains difficult to resolve. In situ Raman spectroscopy provides access to aqueous interfacial chemistry, adsorbed NO x species, dynamic catalyst phases, and local microenvironments under operating conditions. However, many studies still rely mainly on peak assignment, even though the mechanistic reliability of individual spectral features varies substantially. This Perspective presents a Raman‐centered diagnostic framework for nitrate electroreduction. Raman signals are organized into four interfacial readouts: adsorbed nitrate and nitrite species, hydrogenated nitrogen intermediates, catalyst reconstruction, and interfacial water and ion structures. An evidence hierarchy is introduced to assess Raman assignments through isotope labeling, potential‐, time‐, and space‐resolved measurements, multimodal validation, and quantitative correlations with product distributions. Emerging opportunities in evidence‐ranked spectral atlases, interpretable data‐driven analysis, and online Raman monitoring are also discussed. By moving beyond isolated spectral fingerprints, in situ Raman spectroscopy serves as a dynamic interfacial probe for understanding, comparing, and ultimately controlling nitrate electroreduction.

Small
Nanyang Technological University (SG), Sichuan University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Sichuan Province, Chengdu Science and Technology Program
Openalex Percentile: Top 35%
Ammonia Synthesis and Nitrogen Reduction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.