A1 Journal article – refereed

Quantitative Analysis of Porous Silicon Nanoparticles Functionalization by 1H NMR




List of Authors: Cheng Ruoyu, Shiqi Wang, Moslova Karina, Mäkilä Ermei, Salonen Jarno, Li Jiachen,Hirvonen Jouni, Xia Bing, Santos Hélder A.

Publisher: American Chemical Society

Publication year: 2021

Journal: ACS Biomaterials Science and Engineering

eISSN: 2373-9878

DOI: http://dx.doi.org/10.1021/acsbiomaterials.1c00440

URL: https://pubs.acs.org/action/showCitFormats?doi=10.1021/acsbiomaterials.1c00440&ref=pdf


Abstract

Porous silicon (PSi) nanoparticles have been applied in various fields, such as catalysis, imaging, and biomedical applications, because of their large specific surface area, easily modifiable surface chemistry, biocompatibility, and biodegradability. For biomedical applications, it is important to precisely control the surface modification of PSi-based materials and quantify the functionalization density, which determines the nanoparticle’s behavior in the biological system. Therefore, we propose here an optimized solution to quantify the functionalization groups on PSi, based on the nuclear magnetic resonance (NMR) method by combining the hydrolysis with standard 1H NMR experiments. We optimized the hydrolysis conditions to degrade the PSi, providing mobility to the molecules for NMR detection. The NMR parameters were also optimized by relaxation delay and the number of scans to provide reliable NMR spectra. With an internal standard, we quantitatively analyzed the surficial amine groups and their sequential modification of polyethylene glycol. Our investigation provides a reliable, fast, and straightforward method in quantitative analysis of the surficial modification characterization of PSi requiring a small amount of sample.


Downloadable publication

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.




Last updated on 2021-14-09 at 13:08