Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Facile and High Selectivity Novel Fluorescence Sensing Determination of 2, 4, 6-Trinitrophenol Based on Cationic Water-Soluble Pillar[6]arene Graphene Nanocomposite

Xiaoping Tan
* ORCID logo ,
Tingying Zhang
,
Wenjie Zeng
,
Shuhua He
,
Xi Liu
,
Hexiang Tian
,
Jianwei Shi
,
Tuanwu Cao
*
Version 1 : Received: 27 November 2018 / Approved: 28 November 2018 / Online: 28 November 2018 (02:49:49 CET)

A peer-reviewed article of this Preprint also exists.

Tan, X.; Zhang, T.; Zeng, W.; He, S.; Liu, X.; Tian, H.; Shi, J.; Cao, T. A Fluorescence Sensing Determination of 2, 4, 6-Trinitrophenol Based on Cationic Water-Soluble Pillar[6]arene Graphene Nanocomposite. Sensors 2019, 19, 91. Tan, X.; Zhang, T.; Zeng, W.; He, S.; Liu, X.; Tian, H.; Shi, J.; Cao, T. A Fluorescence Sensing Determination of 2, 4, 6-Trinitrophenol Based on Cationic Water-Soluble Pillar[6]arene Graphene Nanocomposite. Sensors 2019, 19, 91.

Abstract

We describe a selective and sensitive fluorescence platform for the detection of trinitrophenol (TNP) based on competitive host–guest recognition between pyridine-functionalized pillar[6]arene (PCP6) and probe (acridine orange, AO) that used PCP6-functionalized reduced graphene (PCP6-rGO) as the receptor. TNP is an electron-deficient and negative molecule which is captured by PCP6 via electrostatic interactions and π-π interactions. Therefore, a selective and sensitive fluorescence sensor for TNP detection is developed. It has a low detection limit of 0.0035 μM (S/N=3) and a wider linear response of 0.01−5.0 and 5.0−125.0 for TNP. The sensing platform is also used to test TNP in two water and soil samples with satisfying results. This suggests that this approach has potential applications for the determination of TNP.

Keywords

cationic pillar[6]arene; host–guest recognition; reduced graphene; trinitrophenol

Subject

Chemistry and Materials Science, Analytical Chemistry

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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