Young Researcher Paper Award 2023
🥇Winners

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 37, Number 5(1) (2025)
Copyright(C) MYU K.K.
pp. 1863-1870
S&M4023 Research Paper of Special Issue
https://doi.org/10.18494/SAM5502
Published: May 16, 2025

Resistance-based CO2 Detection Using Eco-friendly Tetraethylenepentamine-functionalized Polyvinyl Alcohol Films [PDF]

Yung-Tai Hsu, Chih-Chia Wang, Dieter Rahmadiawan, and Shih-Chen Shi

(Received December 13, 2024; Accepted April 23, 2025)

Keywords: PVA, CO2 detection, TEPA, films, carbon dioxide

The primary goal of this study is to develop an environmentally friendly carbon-adsorptive film using polyvinyl alcohol (PVA), a nontoxic and eco-friendly material, as the base for the polymer gas adsorption film. By employing tetraethylenepentamine (TEPA) as a functionalizing agent, the PVA polymer film is immersed in a TEPA solution to introduce functional groups capable of adsorbing carbon dioxide (CO2) onto its surface. Fourier-transform infrared spectroscopy is used to analyze whether the TEPA successfully binds to the PVA film and to confirm the CO2 adsorption capability of the polymer gas adsorption film. The polymer gas adsorption film is placed in a CO2 chamber, and the changes in film resistance over different adsorption times are recorded. It is observed that for the first 30 min of adsorption, the relationship between adsorption time and resistance change is described by the equation y = −0.038x + 4.02, whereas after 30 min, the relationship follows y = −0.0023x + 2.52. The results show that CO2 adsorption reduces the resistance of the polymer gas adsorption film, with the most significant rate of decrease occurring within the first 30 min.

Corresponding author: Shih-Chen Shi


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Yung-Tai Hsu, Chih-Chia Wang, Dieter Rahmadiawan, and Shih-Chen Shi, Resistance-based CO2 Detection Using Eco-friendly Tetraethylenepentamine-functionalized Polyvinyl Alcohol Films, Sens. Mater., Vol. 37, No. 5, 2025, p. 1863-1870.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Novel Sensors, Materials, and Related Technologies on Artificial Intelligence of Things Applications
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper


Special Issue on Innovations in Multimodal Sensing for Intelligent Devices, Systems, and Applications
Guest editor, Jiahui Yu (Research scientist, Zhejiang University), Kairu Li (Professor, Shenyang University of Technology), Yinfeng Fang (Professor, Hangzhou Dianzi University), Chin Wei Hong (Professor, Tokyo Metropolitan University), Zhiqiang Zhang (Professor, University of Leeds)
Call for paper


Special Issue on Signal Collection, Processing, and System Integration in Automation Applications
Guest editor, Hsiung-Cheng Lin (National Chin-Yi University of Technology)
Call for paper


Special Issue on Artificial Intelligence Predication and Application for Energy-saving Smart Manufacturing System
Guest editor, Cheng-Chi Wang (National Sun Yat-sen University)
Call for paper


Special Issue on Advanced Materials and Technologies for Sensor and Artificial- Intelligence-of-Things Applications (Selected Papers from ICASI 2025)
Guest editor, Sheng-Joue Young (National United University)
Conference website
Call for paper


Special Issue on Redefining Perception: Applications of Artificial-intelligence-driven Sensor Systems
Guest editor, Pitikhate Sooraksa (King Mongkut’s Institute of Technology Ladkrabang)
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.