Human Teeth Disease Detection Using Refractive Index Based Surface Plasmon Resonance Biosensor

Alam, Mohammad Khursheed; Dhasarathan, Vigneswaran; Ayyanar, N.; Nambi, Ramanujam; Zaman, Md. Badruz; Ganji, Kiran Kumar; Munisekhar, Manay Srinivas; Nagarajappa, Anil Kumar; Abutayyem, Huda

doi:10.3390/coatings12101398

Cited by 17 publications

(3 citation statements)

References 59 publications

(56 reference statements)

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“…In this figure, todd and teven represent the widths of the odd and even layers, respectively, with thicknesses of 5 µm, 3 µm, and 5 µm for the first, second, and third layers, respectively. In terms of fabrication, references [ 26 , 27 , 28 , 29 ] detail the various studies conducted in relation to the experimental work. For example; Dou et al provide an idea of the fabrication of a titanium metal oxide based one-dimensional photonic structure for a calorimetric sensor that measures volatile organic compounds and relative humidity [ 26 ].…”

Section: Materials and Methods And Structure And Mechanismmentioning

confidence: 99%

“…For example; Dou et al provide an idea of the fabrication of a titanium metal oxide based one-dimensional photonic structure for a calorimetric sensor that measures volatile organic compounds and relative humidity [ 26 ]. Similarly, Shen et al fabricated one-dimensional periodic nanostructures to examine the different chemical components [ 27 ]. One-dimensional photonic crystal was used to create erbium chloride silicate with nanowire [ 28 ].…”

Section: Materials and Methods And Structure And Mechanismmentioning

confidence: 99%

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Investigation on Enamel and Dentine of Tooth through 1D Photonic Structure to Identify the Caries in Human Teeth

et al. 2022

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In this research, a one-dimensional (1D) photonic structure was employed to study the nature of both enamel and dentine teeth at the signal of 1.8 THz. A simple three layer one-dimensional crystal is chosen to avoid fabrication intricacy. The materials and methods for sample preparations are discussed. The principle of investigation of caries in the teeth relies on the amount of reflected signal from the structure. Similarly, reflectance is a function of refractive indices and thickness of each layer, the nature of both substrate and infiltrated materials, and the configuration of the structure. Apart from this, the fabrication process of one-dimensional structure and experimental set-up was proposed in this article. The numerical treatment is explained here to obtain reflectance, and subsequently, the output potential. Comparison studies on output potential between enamel and dentine are also shown through graphical representation. The output result in terms of milli-Volt (mV) were obtained at the output end and collected at the photodiode. Interesting results were also observed at the photodetector. For example; the output potential of the reflected signal is around 0.18 mV for both enamel and dentine teeth whereas the potential is more than 0.26 mV and 0.31 mV for caries in dentine and enamel, respectively. Finally, it was inferred that the nature of teeth pertaining to the caries in the enamel and dentine teeth can be investigated by identifying the amount of potential at the output end.

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Section: Materials and Methods And Structure And Mechanismmentioning

confidence: 99%

Section: Materials and Methods And Structure And Mechanismmentioning

confidence: 99%

Investigation on Enamel and Dentine of Tooth through 1D Photonic Structure to Identify the Caries in Human Teeth

et al. 2022

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“…Most of them included resin jaw replicas and strain gauge-based systems and were designed as large, complex devices that are not user- or dentist-friendly and do not allow for real-time measurement. Recently, a refractive index-based surface plasmon resonance biosensor was investigated for caries diagnosis [ 17 ]. However, a comprehensive and up-to-date literature search still shows the lack of available evidence.…”

Section: Introductionmentioning

confidence: 99%

Smart Flexible 3D Sensor for Monitoring Orthodontics Forces: Prototype Design and Proof of Principle Experiment

Lee

Bósio

et al. 2022

Bioengineering

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There is a critical need for an accurate device for orthodontists to know the magnitude of forces exerted on the tooth by the orthodontic brackets. Here, we propose a new orthodontic force measurement principle to detect the deformation of the elastic semi-sphere sensor. Specifically, we aimed to detail technical issues and the feasibility of the sensor performance attached to the inner surface of the orthodontic aligner or on the tooth surface. Accurate force tracking is important for the optimal decision of aligner replacement and cost reduction. A finite element (FE) model of the semi-sphere sensor was developed, and the relationship between the force and the contact area change was investigated. The prototype was manufactured, and the force detection performance was experimentally verified. In the experiment, the semi-sphere sensor was manufactured using thermoplastic polymer, and a high-precision mold sized 3 mm in diameter. The change in the contact area in the semi-sphere sensor was captured using a portable microscope. Further development is justified, and future implementation of the proposed sensor would be an array of multiple semi-sphere sensors in different locations for directional orthodontic force detection.

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ZnO and antimonene-based surface plasmon resonance sensor for enamel, dentin, and cementum layer detection in human teeth

Zaman,

Pal,

Uniyal

et al. 2024

J Mater Sci: Mater Electron

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Human Teeth Disease Detection Using Refractive Index Based Surface Plasmon Resonance Biosensor

Cited by 17 publications

References 59 publications

Investigation on Enamel and Dentine of Tooth through 1D Photonic Structure to Identify the Caries in Human Teeth

Investigation on Enamel and Dentine of Tooth through 1D Photonic Structure to Identify the Caries in Human Teeth

Smart Flexible 3D Sensor for Monitoring Orthodontics Forces: Prototype Design and Proof of Principle Experiment

ZnO and antimonene-based surface plasmon resonance sensor for enamel, dentin, and cementum layer detection in human teeth

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