Quantifying Å‐Scale Non‐Additive Solvation at Nanoparticle Interfaces

X Xindi Liu (Guangdong Provincial Key Laboratory of Advanced Biomaterials Department of Biomedical Engineering Southern University of Science and Technology Shenzhen 518055 China) N Ningjing Cai (Guangdong Provincial Key Laboratory of Advanced Biomaterials Department of Biomedical Engineering Southern University of Science and Technology Shenzhen 518055 China) Z Zhenghan Liu (Department of Chemical and Biomolecular Engineering National University of Singapore Singapore 117585 Singapore) L Lingkai Zhu (Guangdong Provincial Key Laboratory of Advanced Biomaterials Department of Biomedical Engineering Southern University of Science and Technology Shenzhen 518055 China) Z Zhouyun Chen (Guangdong Provincial Key Laboratory of Advanced Biomaterials Department of Biomedical Engineering Southern University of Science and Technology Shenzhen 518055 China) A Aurel Radulescu (Jülich Center for Neutron Science JCNS at Heinz Maier‐Leibnitz Zentrum Forschungszentrum Jülich GmbH Garching Jülich 85747 Germany) L Lionel Porcar (Institut Laue-Langevin) H Hanqiu Jiang (China Spallation Neutron Source Dongguan 523803 P.R. China) Y Yubin Ke (China Spallation Neutron Source) Z Zhi Luo

Abstract

Abstract Solvent organization at solid–liquid interfaces dictates nanoparticle stability, catalysis, and self‐assembly. Classical physical‐chemistry theories commonly treat solvent quality as an additive continuum variable—an assumption increasingly questioned at the nanoscale but rarely experimentally quantified. Here, we address this challenge by combining small‐angle neutron scattering (SANS) with Monte Carlo real‐space reconstruction, allowing direct, molecular‐level quantification of interfacial solvent structures under native solution conditions. In mixed solvents, we uncover discrete sub‐nanometer solvent clusters whose abundance and spatial organization evolve non‐linearly with solvent composition. These solvent clusters preferentially infiltrate nanoparticle ligand coronas, forcing ligand shells to deform from spherical symmetry into anisotropic ellipsoids—behavior that classical continuum core–shell models fail to describe. Interestingly, maximal solvent clustering, anisotropic deformation, and preferential solvent uptake coincide precisely at the bulk azeotropic composition, directly linking bulk solvent microstructure with nanoscale interfacial symmetry breaking. By turning a long‐standing theoretical prediction into a quantitative measurement, this methodology establishes a versatile route for probing and ultimately tailoring solvation effects at a wide range of soft and hybrid interfaces.

Article Details

Volume / Issue Vol. 64, Issue 48
Published November 24, 2025
ISSN 1433-7851
Publisher Wiley

Journal Info

Angewandte Chemie International Edition

Wiley

ISSN: 1433-7851 Physical Sciences

Authors (10)

X

Xindi Liu

Guangdong Provincial Key Laboratory of Advanced Biomaterials Department of Biomedical Engineering Southern University of Science and Technology Shenzhen 518055 China

N

Ningjing Cai

Guangdong Provincial Key Laboratory of Advanced Biomaterials Department of Biomedical Engineering Southern University of Science and Technology Shenzhen 518055 China

Z

Zhenghan Liu

Department of Chemical and Biomolecular Engineering National University of Singapore Singapore 117585 Singapore

L

Lingkai Zhu

Guangdong Provincial Key Laboratory of Advanced Biomaterials Department of Biomedical Engineering Southern University of Science and Technology Shenzhen 518055 China

Z

Zhouyun Chen

Guangdong Provincial Key Laboratory of Advanced Biomaterials Department of Biomedical Engineering Southern University of Science and Technology Shenzhen 518055 China

A

Aurel Radulescu

Jülich Center for Neutron Science JCNS at Heinz Maier‐Leibnitz Zentrum Forschungszentrum Jülich GmbH Garching Jülich 85747 Germany

L

Lionel Porcar

Institut Laue-Langevin

H

Hanqiu Jiang

China Spallation Neutron Source Dongguan 523803 P.R. China

Y

Yubin Ke

China Spallation Neutron Source

Z

Zhi Luo