Improved Piezoelectric Sensing Performance of P(VDF–TrFE) Nanofibers by Utilizing BTO Nanoparticles and Penetrated Electrodes

材料科学 纳米纤维 电极 压电 纳米颗粒 纳米技术 静电纺丝 复合材料 聚合物 物理化学 化学
作者
Xiaohe Hu,Xing Yan,Longlong Gong,Feifei Wang,Yuanhang Xu,Lin Feng,Deyuan Zhang,Yonggang Jiang
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:11 (7): 7379-7386 被引量:130
标识
DOI:10.1021/acsami.8b19824
摘要

Piezoelectric polymers with good flexibility have attracted tremendous attention in wearable sensors and energy harvesters. As the piezoelectricity of polymers such as polyvinylidene fluoride (PVDF) and polyvinylidene fluoride-trifluoroethylene [P(VDF-TrFE)] is lower than that of their ceramic counterparts, various approaches have been employed to improve the piezoelectric output of PVDF-based sensors, such as electrospinning, heat annealing, nanoconfinement, polymer blending, and nanoparticle addition. Here, we report two strategies to improve the piezoelectric sensing performance of polymer-based piezoelectric nanofibers, which include the formation of barium titanate (BTO)/P(VDF-TrFE) composite nanofibers and fabrication of penetrated electrodes to enlarge the interfacial area. BTO/P(VDF-TrFE) nanofibers with a BTO weight fraction of 5 wt % exhibit the maximum β-phase crystallinity and piezoelectricity. The piezoelectric output of the BTO/P(VDF-TrFE) nanofiber mat is significantly improved compared with that of pristine P(VDF-TrFE), which is confirmed by piezoresponse force microscopy (PFM) and compression loading tests. In order to form the penetrated electrodes, oxygen (O2) plasma treatment is employed, followed by an electroless plating process. The BTO/P(VDF-TrFE) nanofibers with penetrated electrodes demonstrate increased dielectric constants and enhanced piezoelectric outputs. A BTO/P(VDF-TrFE) nanofiber-based sensor with penetrated electrodes is capable of discerning the energy of a free-falling ball as low as 0.6 μJ and sensing the movement of a walking ant.
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
龙归大海完成签到,获得积分10
1秒前
lipel完成签到,获得积分10
1秒前
1秒前
paul发布了新的文献求助10
2秒前
不懈奋进应助VDC采纳,获得30
2秒前
2秒前
10Shi完成签到 ,获得积分10
3秒前
龙归大海发布了新的文献求助10
4秒前
yang_keai发布了新的文献求助10
5秒前
6秒前
YQT完成签到 ,获得积分10
9秒前
15秒前
小二郎应助yang_keai采纳,获得10
16秒前
ajing完成签到,获得积分10
17秒前
充电宝应助爱笑的世平采纳,获得10
17秒前
雄i完成签到,获得积分10
17秒前
18秒前
19秒前
mini昕完成签到,获得积分10
19秒前
paper完成签到 ,获得积分10
20秒前
放放发布了新的文献求助10
21秒前
赘婿应助赵焱峥采纳,获得10
23秒前
okko发布了新的文献求助10
24秒前
追寻第九王国完成签到,获得积分20
24秒前
24秒前
科研通AI5应助孙二二采纳,获得10
25秒前
25秒前
科研通AI5应助嘉嘉琦采纳,获得10
26秒前
多巴不胺完成签到 ,获得积分10
28秒前
hua发布了新的文献求助10
28秒前
激情的代曼完成签到,获得积分10
29秒前
panzhongjie发布了新的文献求助10
30秒前
33秒前
34秒前
李健应助温婉的篮球采纳,获得10
35秒前
okko完成签到,获得积分10
38秒前
38秒前
壮观的十八完成签到,获得积分10
38秒前
40秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3738291
求助须知:如何正确求助?哪些是违规求助? 3281789
关于积分的说明 10026606
捐赠科研通 2998667
什么是DOI,文献DOI怎么找? 1645317
邀请新用户注册赠送积分活动 782748
科研通“疑难数据库(出版商)”最低求助积分说明 749901