Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Adenosine monophosphate assisted homogeneous silica coating of silver Nanoparticles in high-yield and their antibacterial activity

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Preprint
en
2023

Adenosine monophosphate assisted homogeneous silica coating of silver Nanoparticles in high-yield and their antibacterial activity

0 Datasets

0 Files

en
2023
DOI: 10.26434/chemrxiv-2023-b0ss5

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Isabel Pastoriza Santos
Isabel Pastoriza Santos

Universidade de Vigo

Verified
Carlos Fernández‐Lodeiro
Reem Tambosi
Javier Fernández‐Lodeiro
+7 more

Abstract

In this study, we propose a novel approach for the silica coating of silver nanoparticles based on surface modification with adenosine monophosphate (AMP). Upon AMP stabilization, the nanoparticles can be transferred into 2-propanol, promoting the growth of silica on the particle surfaces through the standard Stöber process. The obtained silica shells are uniform and homogeneous, and the method allows a high degree of control over shell thickness while minimizing the presence of uncoated NPs or the negligible presence of core-free silica NPs. In addition, AMP-functionalized AgNPs could be also coated with a mesoporous silica coating using cetyltrimethylammonium chloride (CTAC) as a template. Interestingly, the thickness of the mesoporous silica coating could be tightly adjusted by either the silica precursor concentration or varying the CTAC concentration while keeping constant the silica precursor concentration. Finally, the influence of the silica coating on the antimicrobial effect of AgNPs was studied on gram-negative bacteria (R. gelatinous and E. coli) and under different bacterial growth conditions, shedding light on their potential applications in different biological environments.

How to cite this publication

Carlos Fernández‐Lodeiro, Reem Tambosi, Javier Fernández‐Lodeiro, Adrián Fernández‐Lodeiro, Silvia Nuti, Soufian Ouchane, Nouari Kébaïli, Jorge Pérez‐Juste, Isabel Pastoriza Santos, Carlos Lodeiro (2023). Adenosine monophosphate assisted homogeneous silica coating of silver Nanoparticles in high-yield and their antibacterial activity. , DOI: https://doi.org/10.26434/chemrxiv-2023-b0ss5.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Preprint

Year

2023

Authors

10

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.26434/chemrxiv-2023-b0ss5

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access