Enhanced performance of a cellulose nanofibrils-based triboelectric nanogenerator by tuning the surface polarizability and hydrophobicity

摩擦电效应 表面改性 纤维素 纳米发生器 材料科学 纳米纤维素 硅烷 化学工程 极化率 纳米技术 复合材料 化学 有机化学 分子 压电 工程类
作者
Shuangxi Nie,Qiu Fu,Xuejiao Lin,Chenyuan Zhang,Yanxu Lu,Shuangfei Wang
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:404: 126512-126512 被引量:224
标识
DOI:10.1016/j.cej.2020.126512
摘要

Cellulose is the most abundant natural polymer on earth. Because it is renewable, biodegradable, and biocompatible, it offers distinct advantages as a starting material for bio-based triboelectric nanogenerator (bio-TENG). However, weak polarity, poor hydrophobicity, and insufficient functionalization on the natural cellulose surface severely limit the development of high-performance cellulose-based TENGs. In this work, chemical functionalization is employed to control the surface polarizability and hydrophobicity of cellulose nanofibrils (CNFs). Functional groups on the CNF surface are modified with triethoxy-1H,1H,2H,2H-tridecafluoro-n-octylsilane (PFOTES) in a straightforward and facile process. Fluorine-bearing silane chains are grafted to the surface of CNFs, which increases their triboelectric charge density and improves their hydrophobicity. Experimental results demonstrate that the surface polarity of CNFs is greatly improved after PFOTES modification. The PFOTES-CNF-based TENG exhibits good resistance to humidity and long-term cycle stability, and it retains 70% of the initial output performance at 70% ambient humidity. The short-circuit current of the PFOTES-CNF-based TENG reached 9.3 μA, which is about twice that of CNF-based TENG prior to modification. These results clearly indicate that PFOTES can be used to control CNF surface polarizability and hydrophobicity, advancing the search for durable, high-performance, degradable bio-TENGs.
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
Li发布了新的文献求助10
刚刚
1秒前
练习者发布了新的文献求助10
1秒前
molihuakai应助白华苍松采纳,获得10
2秒前
2秒前
上官若男应助科研通管家采纳,获得10
2秒前
2秒前
ABBCCC应助科研通管家采纳,获得30
2秒前
共享精神应助科研通管家采纳,获得10
2秒前
2秒前
科目三应助科研通管家采纳,获得10
2秒前
SciGPT应助科研通管家采纳,获得10
2秒前
852应助科研通管家采纳,获得10
2秒前
英俊的铭应助科研通管家采纳,获得10
2秒前
斯文败类应助科研通管家采纳,获得10
2秒前
3秒前
搜集达人应助无情的盈采纳,获得10
3秒前
3秒前
慕青应助科研通管家采纳,获得10
3秒前
涵忆发布了新的文献求助10
3秒前
orixero应助科研通管家采纳,获得10
3秒前
小蘑菇应助科研通管家采纳,获得10
3秒前
ABBCCC应助科研通管家采纳,获得30
3秒前
JamesPei应助科研通管家采纳,获得10
3秒前
3秒前
甜甜又亦完成签到,获得积分10
3秒前
不灵0发布了新的文献求助10
3秒前
4秒前
顺利张完成签到,获得积分10
4秒前
Ethan应助闪闪的烁烁采纳,获得10
4秒前
5秒前
1asfdwe发布了新的文献求助10
5秒前
6秒前
6秒前
7秒前
酷炫的乐枫完成签到,获得积分20
7秒前
科研通AI6.1应助AAAKKK采纳,获得10
8秒前
大胆诗翠完成签到,获得积分10
8秒前
Normally发布了新的文献求助10
8秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 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
Adhesion Science: Principles & Practice 400
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 6492186
求助须知:如何正确求助?哪些是违规求助? 8289880
关于积分的说明 17689415
捐赠科研通 5583896
什么是DOI,文献DOI怎么找? 2915252
邀请新用户注册赠送积分活动 1892392
关于科研通互助平台的介绍 1750377