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Nanoindentation for Monitoring the Time-Variant Mechanical Strength of Drug-Loaded Collagen Hydrogel Regulated by Hydroxyapatite Nanoparticles

Authors
Jung, Hyo GiLee, DongtakLee, Sang WonKim, InsuKim, YonghwanJang, Jae WonLee, Jeong HoonLee, GyudoYoon, Dae Sung
Issue Date
6-4월-2021
Publisher
AMER CHEMICAL SOC
Citation
ACS OMEGA, v.6, no.13, pp.9269 - 9278
Indexed
SCIE
SCOPUS
Journal Title
ACS OMEGA
Volume
6
Number
13
Start Page
9269
End Page
9278
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/128259
DOI
10.1021/acsomega.1c00824
ISSN
2470-1343
Abstract
Hydroxyapatite nanoparticle-complexed collagen (HAP/Col) hydrogels have been widely used in biomedical applications as a scaffold for controlled drug release (DR). The time-variant mechanical properties (Young's modulus, E) of HAP/Col hydrogels are highly relevant to the precise and efficient control of DR. However, the correlation between the DR and the E of hydrogels remains unclear because of the lack of a nondestructive and continuous measuring system. To reveal the correlations, herein, we investigate the time-variant behavior of E for HAP/Col hydrogels during 28 days using the atomic force microscopy (AFM) nanoindentation technique. The initial E of hydrogels was controlled from 200 to 9000 Pa by the addition of HAPs. Subsequently, we analyzed the relationship between the DR of the hydrogels and the changes in their mechanical properties (Delta E) during hydrogel degradation. Interestingly, the higher the initial E value of HAP/Col hydrogels is, the higher is the rate of hydrogel degradation over time. However, the DR of hydrogels with higher initial E appeared to be significantly delayed by up to 40% at a maximum. The results indicate that adding an appropriate amount of HAPs into hydrogels plays a crucial role in determining the initial E and their degradation rate, which can contribute to the properties that prolong DR. Our findings may provide insights into designing hydrogels for biomedical applications such as bone regeneration and drug-delivery systems.
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Graduate School > Department of Biotechnology and Bioinformatics > 1. Journal Articles
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