Au-TiO2-Coated Spectroscopy-Based Human Teeth Disorder Detection Sensor: Design and Quantitative Analysis

Sumaiya Akhtar Mitu; Kawsar Ahmed; Francis M Bui; Li Chen; Lassaad K Smirani; Shobhit K Patel; Vishal Sorathiya

doi:10.3390/mi14061191

Au-TiO₂-Coated Spectroscopy-Based Human Teeth Disorder Detection Sensor: Design and Quantitative Analysis

Micromachines (Basel). 2023 Jun 2;14(6):1191. doi: 10.3390/mi14061191.

Authors

Sumaiya Akhtar Mitu^{1

2}, Kawsar Ahmed^{2

3}, Francis M Bui³, Li Chen³, Lassaad K Smirani⁴, Shobhit K Patel⁵, Vishal Sorathiya⁶

Affiliations

¹ Department of Information Technology, University of Information Technology & Sciences (UITS), Dhaka 1212, Bangladesh.
² Group of Biophotomatiχ, Department of Information and Communication Technology (ICT), Mawlana Bhashani Science and Technology University (MBSTU), Tangail 1902, Bangladesh.
³ Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada.
⁴ The Deanship of Information Technology and E-learning, Umm Al-Qura University, Mecca 24382, Saudi Arabia.
⁵ Computer Engineering Department, Marwadi University, Rajkot 360003, India.
⁶ Faculty of Engineering and Technology, Parul Institute of Engineering and Technology, Parul University, Vadodara 391760, India.

Abstract

Human tooth functionality is the most important for the human body to become fit and healthy. Due to the disease attacks in human teeth, parts may lead to different fatal diseases. A spectroscopy-based photonic crystal fiber (PCF) sensor was simulated and numerically analyzed for the detection of dental disorders in the human body. In this sensor structure, SF11 is used as the base material, gold (Au) is used as the plasmonic material, and TiO₂ is used within the gold and sensing analyte layer, and the sensing medium for the analysis of the teeth parts is the aqueous solution. The maximum optical parameter values for the human tooth parts enamel, dentine, and cementum in terms of wavelength sensitivity and confinement loss were obtained as 28,948.69 nm/RIU and 0.00015 dB/m for enamel, 33,684.99 nm/RIU and 0.00028 dB/m, and 38,396.56 nm/RIU and 0.00087 dB/m, respectively. The sensor is more precisely defined by these high responses. The PCF-based sensor for tooth disorder detection is a relatively recent development. Due to its design flexibility, robustness, and wide bandwidth, its application area has been spreading out. The offered sensor can be used in the biological sensing area to identify problems with human teeth.

Keywords: SPR sensor; aqueous solution; dental disorders; quantitative analysis; spectroscopy; teeth disorder detection.

Abstract

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