Natural Silk Nanofibril Aerogels with Distinctive Filtration Capacity and Heat-Retention Performance

气凝胶 材料科学 丝绸 过滤(数学) 复合材料 化学工程 纳米技术 工程类 统计 数学
作者
Zhanao Hu,Shuqin Yan,Xiufang Li,Renchuan You,Qiang Zhang,David L. Kaplan
出处
期刊:ACS Nano [American Chemical Society]
卷期号:15 (5): 8171-8183 被引量:122
标识
DOI:10.1021/acsnano.1c00346
摘要

Nanofibrous aerogels have been extensively developed as multifunctional substrates in a wide range of fields. Natural silk nanofibrils (SNFs) are an appealing biopolymer due to their natural abundance, mechanical toughness, biodegradability, and excellent biocompatibility. However, fabricating 3D SNF materials with mechanical flexibility remains a challenge. Herein, SNF-based aerogels with controlled structures and well mechanical resilience were prepared. SNFs were extracted from silkworm silks by mechanical disintegration based on an all-aqueous system. The nanofibrils network and hierarchical cellular structure of the aerogels were tuned by the assembly of SNFs and foreign poly(vinyl alcohol) (PVA). The SNF aerogels exhibited an ultralow density (as low as 2.0 mg·cm-3) and well mechanical properties with a structure allowing for large deformations. These SNF aerogels demonstrated a reversible compression and stress retention after 100 cycles of compression. Furthermore, the resulting aerogels were used for air filtration and showed efficient filtration performance with a high dust-holding capacity and low resistance. Moreover, an extremely low thermal conductivity of 0.028 W·(m·K)-1 was achieved by the aerogel, showing its potential for use in heat-retention applications. This study provides a useful strategy for exploring the use of natural silks in 3D aerogels and offers options for developing filtration materials and ultralight heat-retention materials.
最长约 10秒,即可获得该文献文件

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
浅唱完成签到,获得积分10
1秒前
1秒前
陈秋迎发布了新的文献求助10
1秒前
power完成签到,获得积分10
1秒前
1秒前
在水一方应助Alav0314采纳,获得30
2秒前
shea完成签到,获得积分10
3秒前
3秒前
神勇茹妖完成签到,获得积分20
3秒前
怕孤独的自行车完成签到,获得积分10
3秒前
3秒前
4秒前
完美世界应助wdlc采纳,获得30
4秒前
hanxuepenyun发布了新的文献求助10
4秒前
lizishu应助东风渡采纳,获得10
5秒前
大胆的听白完成签到,获得积分10
5秒前
5秒前
民名命完成签到,获得积分10
5秒前
6秒前
汉堡包应助八九采纳,获得10
6秒前
薛璞发布了新的文献求助10
7秒前
小彭完成签到,获得积分10
7秒前
7秒前
zb完成签到,获得积分10
8秒前
9秒前
沉静涵山发布了新的文献求助50
10秒前
LingYi完成签到,获得积分10
10秒前
10秒前
神勇茹妖发布了新的文献求助10
10秒前
Ghost发布了新的文献求助10
10秒前
11秒前
11秒前
lh发布了新的文献求助10
11秒前
11秒前
宋宋发布了新的文献求助10
12秒前
12秒前
欢喜的富关注了科研通微信公众号
12秒前
12秒前
和发财完成签到,获得积分10
12秒前
高分求助中
(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
Kinesiophobia : a new view of chronic pain behavior 3000
The Social Psychology of Citizenship 1000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Le genre Cuphophyllus (Donk) st. nov 500
Brittle Fracture in Welded Ships 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5931191
求助须知:如何正确求助?哪些是违规求助? 6991489
关于积分的说明 15848088
捐赠科研通 5060017
什么是DOI,文献DOI怎么找? 2721738
邀请新用户注册赠送积分活动 1678831
关于科研通互助平台的介绍 1610094