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Research Articles

Preparation and opto-electrical characterization of poly(ethylene oxide) based polymer blends for electrochemical applications

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Pages 157-171 | Received 28 Sep 2023, Accepted 25 Mar 2024, Published online: 15 Apr 2024
 

Abstract

Solid polymer electrolyte blends with varied compositions of poly(ethylene oxide) (PEO)/carboxymethyl cellulose (Na-CMC) in 10/90, 50/50, and 90/10 compositions have been successfully prepared by means of the solution cast technique at room temperature. The modification of the structural, optical, and electrical properties of the prepared blend samples was studied by employing XRD, FTIR, UV-Vis, and electrical impedance spectroscopy methods. X-ray diffraction studies revealed that the crystalline nature gradually transforms into amorphous as the Na-CMC content increases in the sample. The variation of bands noticed in the Fourier transform infrared spectroscope characteristic spectrum of the blends reveals the formation of complexes between the individual polymers. The analysis of optical properties using a UV-Vis spectrometer in the wavelength range of 900–1100nm, shows a gradual decrease in the optical indirect energy band gap with an increase in Na-CMC content in the blend. The study of the electrical properties of the blend carried out in the frequency range 50 Hz–1MHz and temperature range 303K–338K, using an electrical impedance analyzer reveals that, the dielectric constant and loss decrease with the rise in frequency, exhibiting the usual behavior of the polymers. AC conductivity is found to increase with an increase in temperature. The highest value of ionic conductivity is found to be 6.06 × 10−3Scm−1 for the blend with a 10/90 composition.

Ethical approval

The authors shall abide by ethical standards of the journal.

Author contribution

The authors of the manuscript have contributed their own part toward this research work.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Research data policy and data availability statements

The authors hereby confirm that, data sharing is not applicable to this article as no datasets were generated or analyzed in the present study. The results reported in the manuscript are through measurements only and hence are not publicly available but are available from the corresponding author on reasonable request.

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