Cylindrical-Shaped Resonator-Integrated Transmission Line Based Sensor for Mustard Oil Quality Estimation

The quality assessment of edible oils, particularly mustard oil, is a critical aspect of food safety and consumer health. This article presents a design and investigation of a Cylindrical Resonator-Integrated Transmission Line (CRITL) sensor for rapid and precise quality assessment of mustard oil. The proposed CRITL offers a notable advantage over the traditional sensors, responding to the small variations in the quality of mustard oil. The proposed CRITL design achieves exceptional resonance at 2.047 GHz with an <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">S</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">21</sub> of –78.5 dB. The sensing characteristics of the proposed CRITL are investigated for different mustard oil samples, which achieve an outstanding sensitivity of 40.41, a high Q-factor of 950, and an elevated Figure of Merit (FoM) of 52,002.9. Comprehensive full-wave simulations and experimental validation confirm its ability to detect subtle dielectric variations, where the CRITL sensor demonstrated significant linear variations in transmitted signals ranging from 2.17 GHz to 1 GHz across all oil samples. Results demonstrate that the sensor represents a non-invasive, fast, and highly sensitive means of quality detection for mustard oil, exceeding precision and detection ability compared to conventional methods. The key novelty of this work lies in its advancement of sensing technology through the development of a non-invasive, highly sensitive, and real-time monitoring approach, highlighting its strong potential for industrial food safety applications.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-10-08
DOI
https://doi.org/10.1109/jsen.2025.3611271
Citations
1
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.67
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article

Cylindrical-Shaped Resonator-Integrated Transmission Line Based Sensor for Mustard Oil Quality Estimation

Mohd Hafiz Baharuddin, Md Kutub Uddin, Phumin Kirawanich, Touhidul Alam et al.
1 citations
IEEE Sensors Journal
Advanced Chemical Sensor Technologies
0.67
article

Cylindrical-Shaped Resonator-Integrated Transmission Line Based Sensor for Mustard Oil Quality Estimation

Mohd Hafiz Baharuddin, Md Kutub Uddin, Phumin Kirawanich, Touhidul Alam, Mohammad Tariqul Islam
article en
1 citations

Abstract

The quality assessment of edible oils, particularly mustard oil, is a critical aspect of food safety and consumer health. This article presents a design and investigation of a Cylindrical Resonator-Integrated Transmission Line (CRITL) sensor for rapid and precise quality assessment of mustard oil. The proposed CRITL offers a notable advantage over the traditional sensors, responding to the small variations in the quality of mustard oil. The proposed CRITL design achieves exceptional resonance at 2.047 GHz with an <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">S</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">21</sub> of –78.5 dB. The sensing characteristics of the proposed CRITL are investigated for different mustard oil samples, which achieve an outstanding sensitivity of 40.41, a high Q-factor of 950, and an elevated Figure of Merit (FoM) of 52,002.9. Comprehensive full-wave simulations and experimental validation confirm its ability to detect subtle dielectric variations, where the CRITL sensor demonstrated significant linear variations in transmitted signals ranging from 2.17 GHz to 1 GHz across all oil samples. Results demonstrate that the sensor represents a non-invasive, fast, and highly sensitive means of quality detection for mustard oil, exceeding precision and detection ability compared to conventional methods. The key novelty of this work lies in its advancement of sensing technology through the development of a non-invasive, highly sensitive, and real-time monitoring approach, highlighting its strong potential for industrial food safety applications.

IEEE Sensors JournalVol. 25(22)
Mahidol University (TH), Rangamati Science and Technology University (BD), National University of Malaysia (MY)
Openalex Percentile: Top 26%
Advanced Chemical Sensor Technologies
0.67
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