Characterization of gelatin-based wound dressing biomaterials containing increasing coconut oil concentrations

明胶 活力测定 核化学 水溶液 材料科学 傅里叶变换红外光谱 生物材料 酰胺 伤口愈合 化学 化学工程 纳米技术 有机化学 细胞 生物化学 外科 工程类 医学
作者
Mehlika Karamanlioglu,Serap Yeşilkır Baydar
出处
期刊:Journal of Biomaterials Science-polymer Edition [Taylor & Francis]
卷期号:35 (1): 16-44
标识
DOI:10.1080/09205063.2023.2265624
摘要

This study determined the influence and ideal ratios of various coconut oil (CO) amounts in gelatin (G) based-films as wound dressings since there are limited comparative studies to evaluate the sole effect of increasing CO on protein-based biomaterials. Homogenous films at G:CO ratio of 4:0,4:2,4:3,4:4 (w:w) corresponding to CO-0, CO-2, CO-3, CO-4, respectively, were obtained using solution casting. SEM showed CO caused rougher surfaces decreasing mechanical strength. However, no pores were observed in CO-4 due to bigger clusters of oil improving stretchability compared to CO-3; and durability since aging of CO-4 was >10% lower than CO-0 in aqueous media. FTIR showed triglycerides' band only in CO films with increasing amplitude. Moreover, amide-I of CO-2 was involved in more hydrogen bonding, therefore, CO-2 had the highest melt-like transition temperatures (Tmax) at ∼163 °C while others' were at ∼133 °C; and had more ideal mechanical properties among CO films. XTT showed that increased CO improved 3T3 cell viability as CO-0 significantly decreased viability at 10,50,75,100 μg/mL (p < 0.05), whereas CO-2 and CO-3 within 5-75 μg/mL and CO-4 within 5-100 μg/mL range increased viability ≥100% suggesting proliferation. All CO samples at 25 μg/mL stimulated 3T3 cell migration in Scratch Assay indicating wound healing. CO amounts mainly improved thermal and healing properties of gelatin-based biomaterial. CO-2 was more thermally stable and CO-4 had better influence on cell viability and wound healing than CO-0. Therefore, increased CO ratios, specifically 4:2 and 4:4, G:CO (w:w), in gelatin-based films can be ideal candidates for wound dressing materials.

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
刚刚
刚刚
Beatrice发布了新的文献求助10
1秒前
天气好的话完成签到,获得积分10
1秒前
1秒前
陆拾壹完成签到,获得积分10
2秒前
粉鼻子完成签到,获得积分10
3秒前
123完成签到,获得积分10
3秒前
月球车关注了科研通微信公众号
4秒前
4秒前
4秒前
5秒前
豆沙包子发布了新的文献求助10
5秒前
5秒前
5秒前
6秒前
6秒前
飞行家完成签到,获得积分10
6秒前
7秒前
六花发布了新的文献求助10
7秒前
李健应助俊逸的季节采纳,获得10
7秒前
8秒前
张淼发布了新的文献求助10
8秒前
文艺的伊发布了新的文献求助10
8秒前
CBWKEYANTONG123发布了新的文献求助200
8秒前
奔跑917完成签到,获得积分10
9秒前
酷酷书包发布了新的文献求助30
9秒前
Owen应助xiaoqiu采纳,获得10
9秒前
幽默霆完成签到,获得积分10
9秒前
包容灭绝发布了新的文献求助10
9秒前
1122发布了新的文献求助10
9秒前
风中悟空发布了新的文献求助10
10秒前
daisy完成签到,获得积分10
10秒前
一二一发布了新的文献求助10
10秒前
陈伟民发布了新的文献求助10
11秒前
Moon完成签到 ,获得积分10
11秒前
11秒前
NORRIS发布了新的文献求助10
11秒前
顺心惜文完成签到 ,获得积分10
11秒前
ymorningrock发布了新的文献求助10
11秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6478999
求助须知:如何正确求助?哪些是违规求助? 8280408
关于积分的说明 17660803
捐赠科研通 5561564
什么是DOI,文献DOI怎么找? 2911306
邀请新用户注册赠送积分活动 1888291
关于科研通互助平台的介绍 1742266