Optical sensor based on two-dimensional photonic crystals for measuring glucose in urine

Aidinis, Konstantinos; Goudarzi, Kiyanoush; Esmaeili, Amir Hosein

doi:10.1117/1.oe.59.5.057104

Cited by 17 publications

(13 citation statements)

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“…In this line of research, photonic crystals that are dielectric structures with a certain band gap and allow light propagation for a particular frequency range have gained considerable attention in the past few years [ 80 ]. In these kind of devices, light flows across slotted structures that help in achieving high sensitivity by confining spatial [ 81 ], temporal [ 82 ] and optical [ 83 ] mode peaks within the analyte.…”

Section: Recent Developments In Various Biological Fluid-based Glucos...mentioning

confidence: 99%

“…In another study, K. Aidinis et al developed two variants of 2D hexagonal photonic lattice crystal-based bio-optical sensors using an identical shape and structure, where sensitivity was modulated by varying the size and quality factor (QF) of the sensor [ 83 ]. In these crystals, the glucose level was measured by detecting change in the refractive index of the urine samples and correlating the respective resonance frequencies with glucose concentration levels.…”

Section: Recent Developments In Various Biological Fluid-based Glucos...mentioning

confidence: 99%

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Recent Advancement in Biofluid-Based Glucose Sensors Using Invasive, Minimally Invasive, and Non-Invasive Technologies: A Review

Reddy

Agarwal

et al. 2022

Nanomaterials

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Biosensors have potentially revolutionized the biomedical field. Their portability, cost-effectiveness, and ease of operation have made the market for these biosensors to grow rapidly. Diabetes mellitus is the condition of having high glucose content in the body, and it has become one of the very common conditions that is leading to deaths worldwide. Although it still has no cure or prevention, if monitored and treated with appropriate medication, the complications can be hindered and mitigated. Glucose content in the body can be detected using various biological fluids, namely blood, sweat, urine, interstitial fluids, tears, breath, and saliva. In the past decade, there has been an influx of potential biosensor technologies for continuous glucose level estimation. This literature review provides a comprehensive update on the recent advances in the field of biofluid-based sensors for glucose level detection in terms of methods, methodology and materials used.

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Section: Recent Developments In Various Biological Fluid-based Glucos...mentioning

confidence: 99%

Section: Recent Developments In Various Biological Fluid-based Glucos...mentioning

confidence: 99%

Recent Advancement in Biofluid-Based Glucose Sensors Using Invasive, Minimally Invasive, and Non-Invasive Technologies: A Review

Reddy

Agarwal

et al. 2022

Nanomaterials

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“…The other important element in PC bio‐sensors is the change in resonance wavelength per amount of change in RI , which shows the accuracy of the structure. This approach is called sensitivity and illustrated as [31]:

{S}_{\omega }(\lambda )=\frac{{\Delta}{\lambda }_{res}}{\partial n}

…”

Section: Theory and Designmentioning

confidence: 99%

“…For sensing glucose in the urine, its amount can vary slightly from 0.625, 1.25, 2.5, 5, and 10 mg/dl, respectively adjusted with RI of 1.334, 1.336, 1.337, 1.341, and 1.347 [31]. Glucose concentration in the tear liquid is small, about 1.35 for normal cells and 1.41 for affected ones [27].…”

Section: Introductionmentioning

confidence: 99%

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Inverse design of a high‐quality factor multi‐purpose optical biosensor

Mafi

Esmaile

2022

IET Optoelectronics

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This paper investigates a high-quality and multi-purposed biosensor with maximum stable output transmittance numerically by using the inverse design method. The proposed biosensor utilises particle swarm optimisation for inverse design which will be a helpful way of designing different kinds of precise sensors in the future. In this research, some parameters are introduced to the optimiser to find the best cavity parameters for developing a high-quality sensor to sense different targets. Many previous studies were on single-goal biosensors, or their quality factor and output spectrum were very low. The proposed sensor can sense different parts of blood components, the amount of glucose in the urine, and tear's glucose for the first time just in one device to the best of our knowledge. Compared to previous works, this structure detects the differences between refractive indexes analytes with a high-quality factor and a high and stable output transmittance spectrum. This structure contains two-dimensional photonic crystal microresonators to provide resonance frequencies in the photonic bandgap. The device works on a window of 1.55 μm with a quality factor equal to 24,000, the sensitivity is 500 nm/RIU (refractive index unit), and the resolution is equal to 4 � 10 −5 . In this paper, the scaling method, particle swarm optimisation, two-dimensional finite-difference dime domain, and Plane-Wave Expansion methods are utilised.

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Self‐Sustaining Triboelectric Nanosensors for Real‐Time Urine Analysis in Smart Toilets

Mondal,

Mansour,

Zheng

et al. 2024

Small

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Healthcare has undergone a revolutionary shift with the advent of smart technologies, and smart toilets (STs) are among the innovative inventions offering non‐invasive continuous health monitoring. The present technical challenges toward this development include limited sensitivity of integrated sensors, poor stability, slow response and the requirement external energy supply alongside manual sample collection. In this article, triboelectric nanosensor array (TENSA) is introduced featuring electrodes crafted from laser‐induced 3D graphene with functional polymers like polystyrene, polyimide, and polycaprolactone for real‐time urine analysis while generating 50 volts output via urine droplet‐based triboelectrification. Though modulating interfacial double‐layer capacitance, these sensors exhibit exceptional sensitivity and selectivity in detecting a broad spectrum of urinary biomarkers, including ions, glucose, and urea with a classification precision of 95% and concentration identification accuracy of up to 0.97 (R2), supported by artificial neural networks. Upon exposure to urine samples containing elevated levels of Na+, K+, and NH4+, a notable decrease (ranging from 32% to 68%) is observed in output voltages. Conversely, urea induces an increase up to 13%. Experimental validation confirms the stability, robustness, reliability, and reproducibility of TENSA, representing a significant advancement in healthcare technology, offering the potential for improved disease management and prevention strategies.

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Optical sensor based on two-dimensional photonic crystals for measuring glucose in urine

Cited by 17 publications

References 0 publications

Recent Advancement in Biofluid-Based Glucose Sensors Using Invasive, Minimally Invasive, and Non-Invasive Technologies: A Review

Recent Advancement in Biofluid-Based Glucose Sensors Using Invasive, Minimally Invasive, and Non-Invasive Technologies: A Review

Inverse design of a high‐quality factor multi‐purpose optical biosensor

Self‐Sustaining Triboelectric Nanosensors for Real‐Time Urine Analysis in Smart Toilets

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