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  5. Copolysiloxane solvent detector using Langmuir-Blodgett surface potential method
 
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Copolysiloxane solvent detector using Langmuir-Blodgett surface potential method

Journal
International Journal of Nanoelectronics and Materials (IJNeaM)
ISSN
1985-5761
Date Issued
2017-01
Author(s)
Faridah Lisa Supian
Universiti Pendidikan Sultan Idris
R. Yahaya
Universiti Pendidikan Sultan Idris
D. C. K. Lim
Universiti Pendidikan Sultan Idris
Handle (URI)
https://ijneam.unimap.edu.my/
https://ijneam.unimap.edu.my/images/PDF/IJNEAM%20No.%201,%202017/Vol_10_No_1_2017_5_39-46.pdf
https://hdl.handle.net/20.500.14170/2778
Abstract
A quick detection for volatile organic compounds (VOCs), especially in the indoor environment is a must as the build-up level of VOCs is multiple times greater than outdoor environment. By using a surface potential probe, we have analyzed the interaction between copolysiloxane Langmuir-Blodgett (LB) thin films with several commercially used VOCs solvent, specifically chloroform (CHCl3), isopropyl alcohol (IPA) and dichloromethane (DCM). These copolysiloxane LB thin films, namely P50:50 and P25:75 had been deposited onto aluminium-coated substrates. Subsequently, the surface potential (ΔV) of copolysiloxane LB thin films were monitored during exposure to each solvent. Interaction of these thin films with each solvent produced non-identical changes in ΔV values. In addition, ΔVmax value and halftime response for half ΔVmax value (t50) were determined. Later, a figure of merit, ƒ was calculated to determine the optimum sensing material per solvent. The most promising candidates particularly as IPA solvent vapour sensors is P50:50 copolysiloxanes LB thin film that presented ΔVmax (106 mV), smallest halftime response for half ΔVmax value achieved, t50 (65 s), and considerable ƒ (1.631 mV/s), as compared to others.
Subjects
  • Copolysiloxane

  • Langmuir-Blodgett

  • Surface potential

  • Volatile organic comp...

File(s)
Copolysiloxane solvent detector using Langmuir-Blodgett surface potential method.pdf (652.32 KB)
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Nov 19, 2024
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Acquisition Date
Nov 19, 2024
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