PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 13, 2026Nature Communications1 citationsOpen Access

Multi-modal characterization of nitrate reduction nano-catalysts with periodic strain distribution

View Full Paper
YTYiyuan TaoXZXingyu ZhengSHShi Huang

Key Points

  • The aim is to understand how strain in nano-catalysts affects their performance in nitrate reduction.
  • Developed a four-dimensional scanning transmission electron microscopy (4D-STEM) method.
  • Acquired strain mapping of bulk and surface particles up to 500 nm.
  • Achieved 0.6 nm spatial resolution and 0.55% precision in measurements.
  • Identified a ripple-like periodic strain in CuCoSn(OH)6 correlated with electrocatalytic performance.
  • Achieved 92.6% Faradaic efficiency during nitrate reduction.
  • Demonstrated effective performance in ammonia electrosynthesis over 1000 hours.

Abstract

Strain engineering serves as a pivotal strategy to optimize catalytic activity in electrocatalysis. However, the catalyst sizes under industrial conditions are usually large and even beyond nanometer regime. The critical methodological limitations on strain imaging of such catalysts with both large field of view and high spatial resolution obscure the mechanistic understanding of strain-performance correlations. Here, we present an optimized four-dimensional scanning transmission electron microscopy (4D-STEM) method to acquire strain mapping of both bulk and surface across particles up to 500 nm with 0.6 nm spatial resolution and 0.55% precision. We observe the ripple-like periodic strain coupled with elemental fluctuations inside a perovskite-type hydroxide CuCoSn(OH)6 and find it correlated to electrocatalytic nitrate reduction (NO3-RR) absorption energy to achieve the 92.6% Faradaic efficiency and long-term test over 1000 h at membrane electrode assembly (MEA) for ammonia electrosynthesis. This universal framework design offers a practical method that not only develops an advanced measurement combining multi-modal characterization techniques but also reveals the intrinsic structure-property constitutive law of industry-level catalysts.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Tao et al. (2026) studied this question.

synapsesocial.com/papers/69b3acc502a1e69014ccebd7https://doi.org/10.1038/s41467-026-70447-7
Ask AI
Helpful
Bookmark
Share
View Full Paper