Unraveling the Antiviral Efficacy of Surfactants: Deactivation of Nonenveloped Viruses through Synergistic Electrostatic Mechanisms

viral load reduction was achieved using anionic surfactants at pH < 5 or cationic surfactants at pH > 10. Dynamic and electrophoretic light scattering provided data on surfactant-capsid interactions, which we further explored by molecular modeling of the capsid charge distributions across pH ranges using protein sequence data. These results informed a selective-permeation model describing how surfactant efficacy depends on electrostatic interactions─repulsion, attraction, and permeation─with capsid proteins. The model predictions were validated using transmission electron microscopy and were applied to accurately predict the pH inactivation thresholds of ΦX174 phage. The results indicate that both cationic and anionic surfactants could serve as efficient antiviral agents, if the pH of the system favors surfactant penetration through both the inner and outer layers of the capsids. They offer a theoretical framework for the rational design of antiviral formulations for NEVs.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2026-05-02
DOI
https://doi.org/10.1021/acsnano.5c13392
Primary Topic
Bacteriophages and microbial interactions
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Unraveling the Antiviral Efficacy of Surfactants: Deactivation of Nonenveloped Viruses through Synergistic Electrostatic Mechanisms

Stefano Menegatti, P. Chandar, Sameera Vellore, Orlin D. Velev et al.
ACS Nano
Bacteriophages and microbial interactions
article

Unraveling the Antiviral Efficacy of Surfactants: Deactivation of Nonenveloped Viruses through Synergistic Electrostatic Mechanisms

Stefano Menegatti, P. Chandar, Sameera Vellore, Orlin D. Velev, Cyrus Cao, Eduardo Barberi, Anat Shiloach, Seongeun Kim
article en

Abstract

viral load reduction was achieved using anionic surfactants at pH < 5 or cationic surfactants at pH > 10. Dynamic and electrophoretic light scattering provided data on surfactant-capsid interactions, which we further explored by molecular modeling of the capsid charge distributions across pH ranges using protein sequence data. These results informed a selective-permeation model describing how surfactant efficacy depends on electrostatic interactions─repulsion, attraction, and permeation─with capsid proteins. The model predictions were validated using transmission electron microscopy and were applied to accurately predict the pH inactivation thresholds of ΦX174 phage. The results indicate that both cationic and anionic surfactants could serve as efficient antiviral agents, if the pH of the system favors surfactant penetration through both the inner and outer layers of the capsids. They offer a theoretical framework for the rational design of antiviral formulations for NEVs.

ACS Nano
North Carolina State University (US), Global Viral (US), North Central State College (US), Department of Education and Training (AU), Data Power Decisions (United States) (US)
Unilever, North Carolina State University, U.S. Food and Drug Administration, Division of Materials Research
Clean water and sanitation
Openalex Percentile: Top 10%
Bacteriophages and microbial interactions
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.