Quantitative Analysis of Porous Silicon Nanoparticles Functionalization by 1H NMR
Author(s) -
Ruoyu Cheng,
Shiqi Wang,
Karina Moslova,
Ermei Mäkilä,
Jarno Salonen,
Jiachen Li,
Jouni Hirvonen,
Bing Xia,
Hélder A. Santos
Publication year - 2021
Publication title -
acs biomaterials science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.082
H-Index - 50
ISSN - 2373-9878
DOI - 10.1021/acsbiomaterials.1c00440
Subject(s) - surface modification , materials science , nanoparticle , biocompatibility , polyethylene glycol , nanotechnology , proton nmr , hydrolysis , porous silicon , chemical engineering , porosity , chemistry , organic chemistry , composite material , engineering , metallurgy
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 1 H 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.
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