Acetone vapor-sensing properties of chitosan-polyethylene glycol using surface plasmon resonance technique

Usman, F. and Dennis, J.O. and Mkawi, E.M. and Al-Hadeethi, Y. and Meriaudeau, F. and Fen, Y.W. and Sadrolhosseini, A.R. and Ferrell, T.L. and Alsadig, A. and Sulieman, A. (2020) Acetone vapor-sensing properties of chitosan-polyethylene glycol using surface plasmon resonance technique. Polymers, 12 (11). pp. 1-17.

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Abstract

To non-invasively monitor and screen for diabetes in patients, there is need to detect low concentration of acetone vapor in the range from 1.8 ppm to 5 ppm, which is the concentration range of acetone vapor in diabetic patients. This work presents an investigation for the utilization of chitosan-polyethylene glycol (PEG)-based surface plasmon resonance (SPR) sensor in the detection of trace concentration acetone vapor in the range of breath acetone in diabetic subjects. The structure, morphology, and elemental composition of the chitosan-PEG sensing layer were characterized using FTIR, UV-VIS, FESEM, EDX, AFM, and XPS methods. Response testing was conducted using low concentration of acetone vapor in the range of 0.5 ppm to 5 ppm using SPR technique. All the measurements were conducted at room temperature and 50 mL/min gas flow rate. The sensor showed good sensitivity, linearity, repeatability, reversibility, stability, and high affinity toward acetone vapor. The sensor also showed better selectivity to acetone compared to methanol, ethanol, and propanol vapors. More importantly, the lowest detection limit (LOD) of about 0.96 ppb confirmed the applicability of the sensor for the non-invasive monitoring and screening of diabetes. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Item Type: Article
Impact Factor: cited By 2
Uncontrolled Keywords: Acetone; Aliphatic compounds; Chitosan; Diagnosis; Flow of gases; Flow rate; Morphology; Plasmons; Polyethylene glycols; Polyethylenes, Concentration ranges; Detection limits; Diabetic patient; Elemental compositions; Low concentrations; Non-invasive monitoring; Surface plasmon resonance sensor; Trace concentrations, Surface plasmon resonance
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 25 Mar 2022 02:56
Last Modified: 25 Mar 2022 02:56
URI: http://scholars.utp.edu.my/id/eprint/29800

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