Design and analysis of a multi-core whispering gallery mode bio-sensor for detecting cancer cells and diabetes tear cells

Chakrabarti, Kisalaya; Obaidat, Mohammad S.; Mostufa, Shahriar; Paul, Alok Kumar

doi:10.1364/osac.431883

Cited by 8 publications

(3 citation statements)

References 37 publications

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“…Normal and cancerous cells have a specific RI in different parts of every organ of the body. The RI of the normal and cancerous cells for mostly dominating cancers (Basal,Hela, is given in Table . 1 (Chakrabarti et al 2021). Among the mentioned cancer types, the Basal cell carcinomas are the major among them (Yaroslavsky et al 2012).…”

Section: Introductionmentioning

confidence: 99%

A PhC-SOA based cancerous cell detection biosensor

Moshfe

Zarei

2023

Preprint

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In this paper, we present a novel method to design an ultra-small photonic integrated biosensor to detect cancerous cells. The proposed biosensor is based on the self-phase modulation in PhC-SOA, inducing a frequency shift on a pulse traveling through the device. The amount of the frequency chirp depends on the group velocity of the active medium waveguide being determined by the refractive index of the microfluidic infiltrating the holes around the waveguide. The refractive index of the microfluidic is also determined by the cell type that can be normal or cancerous. Since the refractive index of a cancerous cell is higher than that of a normal one, the group index of the waveguide and the output chirp will decrease. By measuring the amount of the output chirp, we can detect the cell type. The Simulation results showed that for a 0.02 change in the refractive index of the cell, a 3.71 nm central wavelength shift occurred for a 10-ps 71-mW gaussian pulse input with a central wavelength of 1533.53876 nm. In terms of the wavelength shift, the sensitivity and figure of merit are 185.5 and 530, respectively. To detect the cell type, we integrated a PhC channel drop filter to drop the chirped signal due to the cancerous cell infiltration. Designing an appropriate PhC-CDF leads to achieving an ultra-small cancerous detection cell biosensor with more than 97% precision.

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Section: Introductionmentioning

confidence: 99%

A PhC-SOA based cancerous cell detection biosensor

Moshfe

Zarei

2023

Preprint

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“…Indeed, the toilet lighting at one of Bandung's private institutions is controlled manually by pushing the On/Off button. Due to the high volume of toilet users (Chakrabarti, 2021). If this continues for an extended period, there will be a waste of electrical energy.…”

Section: Introductionmentioning

confidence: 99%

Utilization of Motion Sensors to Reduce Electricity Consumption in Buildings

Suprihartini¹,

Taryana²,

Andiyan³

et al. 2023

JOWUA

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Electrical energy use at an agency that results in waste is a severe concern. One of them is in the toilet, which is often a waste of energy due to the lights being on while the toilet is not in use. As a result, energy waste is proportionate to an agency's monthly operating expenses. If waste can be eliminated, additional expenses will also be lowered. This study provides an algorithm that begins with the user pressing the push button to turn on the light and ends with the activated motion sensor. When a user enters the toilet and motion is detected, the toilet light remains on automatically. If, however, the user is not on the toilet after hitting the push button, the toilet light will automatically switch off after 60 seconds. Similarly, if the user exits the toilet, the toilet light will switch off automatically after roughly 60 seconds. The findings of a test conducted in a toilet for around two weeks using a motion sensor whose algorithm was optimized revealed a 7.08 per cent reduction in electric power usage after utilizing the equipment. Then, the device's test results indicate that the motion sensor detection is 100 per cent successful.

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“…At present, for cancer detection, a number of optical fiber sensors based on surface plasmon resonance (SPR) have been developed due to their portability, compactness, and better sensing performance [ 24 , 25 , 26 , 27 , 28 ]. For instance, Prakhar Dutta et al [ 29 ] demonstrated a centrifuge powered by solar energy that effectively separates blood cells from blood samples using a steady centrifugal force for analyte measurement.…”

Section: Introductionmentioning

confidence: 99%

Highly Sensitive TiO2/Au/Graphene Layer-Based Surface Plasmon Resonance Biosensor for Cancer Detection

et al. 2022

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In this article, a hybrid TiO2/Au/graphene layer-based surface plasmon resonance (SPR) sensor with improved sensitivity and capability for cancer detection is presented. The finite element method (FEM) was used for numerical analysis. The proposed SPR biosensor was structured based on the angular analysis of the attenuated total reflection (ATR) method for the detection of various types of cancer using the refractive index component. The resonance angle shifted owing to the increment of normal and cancerous cells’ refractive index, which varied between 1.36 and 1.401 for six different types of normal and cancerous cells. According to numerical results, the obtained sensitivities for skin (basal), cervical (HeLa), adrenal gland (PC12), blood (Jurkat), and breast (MCF-7 and MDA-MB-231) cancer cells were 210 deg/RIU, 245.83 deg/RIU, 264.285 deg/RIU, 285.71 deg/RIU, 292.86 deg/RIU, and 278.57 deg/RIU, respectively. Furthermore, the detection accuracy (DA), figure of merits (FOM), and signal-to-noise ratio (SNR) were also obtained, with values of 0.263 deg−1, 48.02 RIU−1, and 3.84, respectively. Additionally, the distribution of the electric field and the propagation of the magnetic field for resonant and non-resonant conditions of the proposed structure were illustrated. It was found that an enhanced field was exhibited on the surface of the plasmonic material for resonant conditions. We also measured the penetration depth of 180 nm using decayed electric field intensity. Furthermore, the impact of using a TiO2/Au/graphene layer was demonstrated. We further conducted analyses of the effects of the thickness of the gold layer and the effects of additional graphene layers on overall sensitivities for six different types of cancer. The proposed TiO2/Au/graphene layered structure exhibited the highest overall sensitivity in terms of detecting cancerous cells from healthy cells. Moreover, the proposed sensor was numerically analyzed for a wide range of biological solutions (refractive index 1.33 –1.41), and the sensor linearity was calculated with a linear regression coefficient (R2) of 0.9858. Finally, numerical results obtained in this manuscript exhibited high sensitivity in comparison with previously reported studies.

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Design and analysis of a multi-core whispering gallery mode bio-sensor for detecting cancer cells and diabetes tear cells

Cited by 8 publications

References 37 publications

A PhC-SOA based cancerous cell detection biosensor

A PhC-SOA based cancerous cell detection biosensor

Utilization of Motion Sensors to Reduce Electricity Consumption in Buildings

Highly Sensitive TiO2/Au/Graphene Layer-Based Surface Plasmon Resonance Biosensor for Cancer Detection

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