Hydrogels with brain tissue-like mechanical properties in complex environments
In surgical training and experimental research, brain tissues immersed in cerebrospinal fluid often exhibit complex deformation and strain rate effects that can compromise their reliability and stability. Therefore, it is essential to develop a high-fidelity human brain tissue simulant material that...
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Format: | Article |
Language: | English |
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Elsevier
2023-10-01
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Series: | Materials & Design |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127523007530 |
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author | Jingyu Wang Yongrou Zhang Zuyue Lei Junqi Wang Yangming Zhao Taolin Sun Zhenyu Jiang Licheng Zhou Zejia Liu Yiping Liu Bao Yang Liqun Tang |
author_facet | Jingyu Wang Yongrou Zhang Zuyue Lei Junqi Wang Yangming Zhao Taolin Sun Zhenyu Jiang Licheng Zhou Zejia Liu Yiping Liu Bao Yang Liqun Tang |
author_sort | Jingyu Wang |
collection | DOAJ |
description | In surgical training and experimental research, brain tissues immersed in cerebrospinal fluid often exhibit complex deformation and strain rate effects that can compromise their reliability and stability. Therefore, it is essential to develop a high-fidelity human brain tissue simulant material that serves as a physical surrogate model to understand its mechanical behavior, such as traumatic brain injury (TBI). However, the existing simulant materials have failed to meet the required mechanical properties. This study presents a composite hydrogel consisting of both a rigid polysaccharides network (Sodium alginate and Pectin) and a flexible polyacrylamide network, exhibiting brain tissue-like mechanical properties under various solution environments and strain rates. The results show that nonlinear mechanical behavior and good similarity under various external environments (artificial cerebrospinal fluid, normal saline, deionized water, and air environments) and different strain rates (0.001 s−1,900 s−1,1700 s−1). By analyzing the experimental data and theoretical analysis, we examine the effects of complex environments on the mechanical behavior of composite hydrogel and porcine brain tissue. Given that the properties of human brain tissue resemble those of porcine brain tissue, our work has significant reference value in realizing surgical training and advancing related research in biomedical engineering. |
first_indexed | 2024-03-11T15:24:33Z |
format | Article |
id | doaj.art-b8cfd9bc65c94141b53fbf46228af018 |
institution | Directory Open Access Journal |
issn | 0264-1275 |
language | English |
last_indexed | 2024-03-11T15:24:33Z |
publishDate | 2023-10-01 |
publisher | Elsevier |
record_format | Article |
series | Materials & Design |
spelling | doaj.art-b8cfd9bc65c94141b53fbf46228af0182023-10-28T05:06:32ZengElsevierMaterials & Design0264-12752023-10-01234112338Hydrogels with brain tissue-like mechanical properties in complex environmentsJingyu Wang0Yongrou Zhang1Zuyue Lei2Junqi Wang3Yangming Zhao4Taolin Sun5Zhenyu Jiang6Licheng Zhou7Zejia Liu8Yiping Liu9Bao Yang10Liqun Tang11School of Civil Engineering and Transportation, South China University of Technology, No.381, Wushan Road, Guangzhou, Guangdong, ChinaDepartment of Applied Mechanics and Engineering, Sun Yat-Sen University, Guangzhou, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, No.381, Wushan Road, Guangzhou, Guangdong, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, No.381, Wushan Road, Guangzhou, Guangdong, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, No.381, Wushan Road, Guangzhou, Guangdong, ChinaSouth China Advanced Institute for Soft Matter Science and Technology, School of Emergent Soft Matter, South China University of Technology, Guangzhou 510640, China; Guangdong Provincial Key Laboratory of Functional and Intelligent Hybrid Materials and Devices, South China University of Technology, Guangzhou 510640, China; Corresponding authors at: South China Advanced Institute for Soft Matter Science and Technology, School of Emergent Soft Matter, South China University of Technology, Guangzhou 510640, China (Taolin Sun). School of Civil Engineering and Transportation, South China University of Technology, No.381, Wushan Road, Guangzhou, Guangdong, China (Liqun Tang).School of Civil Engineering and Transportation, South China University of Technology, No.381, Wushan Road, Guangzhou, Guangdong, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, No.381, Wushan Road, Guangzhou, Guangdong, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, No.381, Wushan Road, Guangzhou, Guangdong, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, No.381, Wushan Road, Guangzhou, Guangdong, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, No.381, Wushan Road, Guangzhou, Guangdong, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, No.381, Wushan Road, Guangzhou, Guangdong, China; State Key Laboratory of Subtropical Building Science, South China University of Technology, No.381, Wushan Road, Guangzhou, Guangdong, China; Corresponding authors at: South China Advanced Institute for Soft Matter Science and Technology, School of Emergent Soft Matter, South China University of Technology, Guangzhou 510640, China (Taolin Sun). School of Civil Engineering and Transportation, South China University of Technology, No.381, Wushan Road, Guangzhou, Guangdong, China (Liqun Tang).In surgical training and experimental research, brain tissues immersed in cerebrospinal fluid often exhibit complex deformation and strain rate effects that can compromise their reliability and stability. Therefore, it is essential to develop a high-fidelity human brain tissue simulant material that serves as a physical surrogate model to understand its mechanical behavior, such as traumatic brain injury (TBI). However, the existing simulant materials have failed to meet the required mechanical properties. This study presents a composite hydrogel consisting of both a rigid polysaccharides network (Sodium alginate and Pectin) and a flexible polyacrylamide network, exhibiting brain tissue-like mechanical properties under various solution environments and strain rates. The results show that nonlinear mechanical behavior and good similarity under various external environments (artificial cerebrospinal fluid, normal saline, deionized water, and air environments) and different strain rates (0.001 s−1,900 s−1,1700 s−1). By analyzing the experimental data and theoretical analysis, we examine the effects of complex environments on the mechanical behavior of composite hydrogel and porcine brain tissue. Given that the properties of human brain tissue resemble those of porcine brain tissue, our work has significant reference value in realizing surgical training and advancing related research in biomedical engineering.http://www.sciencedirect.com/science/article/pii/S0264127523007530Porcine brain tissueHydrogelMechanical propertiesSolution environmentStrain rate |
spellingShingle | Jingyu Wang Yongrou Zhang Zuyue Lei Junqi Wang Yangming Zhao Taolin Sun Zhenyu Jiang Licheng Zhou Zejia Liu Yiping Liu Bao Yang Liqun Tang Hydrogels with brain tissue-like mechanical properties in complex environments Materials & Design Porcine brain tissue Hydrogel Mechanical properties Solution environment Strain rate |
title | Hydrogels with brain tissue-like mechanical properties in complex environments |
title_full | Hydrogels with brain tissue-like mechanical properties in complex environments |
title_fullStr | Hydrogels with brain tissue-like mechanical properties in complex environments |
title_full_unstemmed | Hydrogels with brain tissue-like mechanical properties in complex environments |
title_short | Hydrogels with brain tissue-like mechanical properties in complex environments |
title_sort | hydrogels with brain tissue like mechanical properties in complex environments |
topic | Porcine brain tissue Hydrogel Mechanical properties Solution environment Strain rate |
url | http://www.sciencedirect.com/science/article/pii/S0264127523007530 |
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