Literature DB >> 26212665

Self-Powered Triboelectric Nanosensor with Poly(tetrafluoroethylene) Nanoparticle Arrays for Dopamine Detection.

Yang Jie1,2, Ning Wang3, Xia Cao1,2, Ying Xu2,3, Tao Li2, Xueji Zhang1, Zhong Lin Wang2,4.   

Abstract

A self-powered triboelectric nanosensor (TENS) based on the contact-separation mode between a thin layer of poly(tetrafluoroethylene) (PTFE) with nanoparticle arrays and an aluminum film was fabricated for the detection of dopamine (DA) in the alkaline condition. High selectivity and sensitivity (detection limit of 0.5 μM, a linear range from 10 μM to 1 mM) have been achieved through the strong interaction between the nonstick PTFE and DA via its oxidative self-polymerization, and the output voltage and current of the developed TENS can reach 116 V and 33 μA, which is exceptionally attractive for the fabrication of self-powered and portable device toward the detection of dopamine.

Entities:  

Keywords:  dopamine; poly(tetrafluoroethylene) nanoparticle arrays; self-powered nanosensor; triboelectric nanogenerator

Mesh:

Substances:

Year:  2015        PMID: 26212665     DOI: 10.1021/acsnano.5b03052

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  3 in total

1.  Protein-templated Fe2O3 microspheres for highly sensitive amperometric detection of dopamine.

Authors:  Xiaoyu Chen; Qingquan Liu; Minghuan Liu; Xiaoyan Zhang; Suying Lin; Yisong Chen; Junyang Zhuang; Da-Peng Yang
Journal:  Mikrochim Acta       Date:  2018-06-26       Impact factor: 5.833

2.  Fluorescent Gold Nanoclusters for Selective Detection of Dopamine in Cerebrospinal fluid.

Authors:  Saravanan Govindaraju; Seshadri Reddy Ankireddy; Buddolla Viswanath; Jongsung Kim; Kyusik Yun
Journal:  Sci Rep       Date:  2017-01-09       Impact factor: 4.379

3.  Microporous polymer membrane assisted water induced electricity generation based on triboelectrification and electrostatic induction.

Authors:  Prashant Shukla; Pooja Saxena; Nitin Bhardwaj; V K Jain
Journal:  RSC Adv       Date:  2020-11-09       Impact factor: 4.036

  3 in total

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