Crosslinked hyaluronic acid dermal fillers: A comparison of rheological properties

材料科学 流变学 弹性(物理) 复合材料 聚合物 流变仪 填料(材料) 透明质酸 粘度 遗传学 生物
作者
Samuel J. Falcone,Richard A. Berg
出处
期刊:Journal of Biomedical Materials Research Part A [Wiley]
卷期号:87A (1): 264-271 被引量:270
标识
DOI:10.1002/jbm.a.31675
摘要

Temporary dermal fillers composed of crosslinked hyaluronic acid (XLHA) are space filling gels that are readily available in the United States and Europe. Several families of dermal fillers based on XLHA are now available and here we compare the physical and rheological properties of these fillers to the clinical effectiveness. The XLHA fillers are prepared with different crosslinkers, using HA isolated from different sources, have different particle sizes, and differ substantially in rheological properties. For these fillers, the magnitude of the complex viscosity, |eta*|, varies by a factor of 20, the magnitude of the complex rigidity modulus, |G*|, and the magnitude of the complex compliance, |J*| vary by a factor of 10, the percent elasticity varies from 58% to 89.9%, and the tan delta varies from 0.11 to 0.70. The available clinical data cannot be correlated with either the oscillatory dynamic or steady flow rotational rheological properties of the various fillers. However, the clinical data appear to correlate strongly with the total concentration of XLHA in the products and to a lesser extent with percent elasticity. Hence, our data suggest the following correlation: dermal filler persistence = [polymer] x [% elasticity] and the clinical persistence of a dermal filler composed of XLHA is dominated by the mass and elasticity of the material implanted. This work predicts that the development of future XLHA dermal filler formulations should focus on increasing the polymer concentration and elasticity to improve the clinical persistence.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
冷静的刚完成签到,获得积分10
1秒前
1秒前
岸边渔客发布了新的文献求助10
1秒前
1秒前
1秒前
思源应助虚心代天采纳,获得10
1秒前
2秒前
2秒前
derlun完成签到,获得积分10
2秒前
小张妙妙屋完成签到 ,获得积分10
3秒前
碧蓝的紊完成签到,获得积分10
3秒前
大意的尔白完成签到,获得积分10
3秒前
Maestro_S发布了新的文献求助30
3秒前
4秒前
汉堡包应助微笑采纳,获得10
5秒前
晋姝发布了新的文献求助10
5秒前
可爱的函函应助无解肥采纳,获得10
6秒前
Sugarshu完成签到,获得积分10
6秒前
renshiq发布了新的文献求助10
6秒前
小一一完成签到,获得积分10
7秒前
7秒前
xuan发布了新的文献求助30
7秒前
lis57发布了新的文献求助10
7秒前
8秒前
Orange应助科研通管家采纳,获得10
8秒前
8秒前
乐乐应助科研通管家采纳,获得10
8秒前
FashionBoy应助科研通管家采纳,获得10
8秒前
小马甲应助科研通管家采纳,获得10
8秒前
9秒前
华仔应助科研通管家采纳,获得10
9秒前
Fa1022应助科研通管家采纳,获得10
9秒前
yummm完成签到 ,获得积分10
9秒前
molihuakai应助科研通管家采纳,获得10
9秒前
9秒前
Akim应助科研通管家采纳,获得30
9秒前
方青松应助科研通管家采纳,获得10
9秒前
Ava应助科研通管家采纳,获得10
10秒前
在水一方应助科研通管家采纳,获得10
10秒前
英姑应助科研通管家采纳,获得10
10秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7580824
求助须知:如何正确求助?哪些是违规求助? 9160286
关于积分的说明 19598499
捐赠科研通 7163343
什么是DOI,文献DOI怎么找? 3265939
关于科研通互助平台的介绍 2430842
邀请新用户注册赠送积分活动 2256986