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Title 

Study on the sensing signal profiles for determination of process window of flexible sensors based on surface treated PDMS/CNT composite patches

Authors 

J BaeY HwangSeon Joo ParkJ H HaH J KimA JangJ AnChang-Soo LeeS H Park

Publisher 

MDPI

Issue Date 

2018

Citation 

Polymers

Keywords 

CyclodextrinElectrical conductivityFlexible sensorPoly(dimethylsiloxane)/carbon nanotube

Abstract 

In this study, analysis of sensing signal profiles was conducted focusing on the close relationship between electrical conductivity and signal intensity in surface treated poly(dimethylsiloxane)/carbon nanotube (PDMS/CNT) composite patches for the purpose of their practical application as flexible chemical sensors. The flexible PDMS/CNT composite patches were prepared from a PDMS/CNT mixture with a two-roll apparatus. It was found that the PDMS/CNT pads showed a high electrical conductivity (10-1 S/m) even at low CNT loading (0.6 wt %) and a contact angle range of 105-118°. The surface of the obtained PDMS/CNT composite patches was treated using a simple bio-conjugation method to incorporate beta-cyclodextrin (beta-CD) molecules onto the surface as a sensing medium, in order to detect a model compound (Methyl Paraben, MePRB). FT-IR spectra indicated that beta-cyclodextrin molecules were effectively introduced on the surface of the PDMS/CNT patches. It was shown that the sensor signal intensity was substantially dependent on the base current value, which increased with increasing CNT loading. Accordingly, the base current value was intimately associated with the electrical conductivity of the composite patches. On the other hand, the increase in current over the base current (ΔI/I0) obtained after the addition of the model compound was inversely proportional to the CNT content. In this way, analysis on the sensing signal profiles of the flexible chemical sensor system was conducted to determine a process window. This study is a very useful springboard for future research activities, as more profound studies are necessary to fully understand sensing signal profiles.

ISSN 

2073-4360

Link 

http://dx.doi.org/10.3390/polym10090951

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


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