银-硫化镓- tdmc异质结构表面等离子体共振纳米生物传感器的设计与性能改进

IF 2.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Snehanagasri Malakalapalli, Hemanth Reddy Vajrala, Chella Santhosh, Yesudasu Vasimalla, Suman Maloji, Santosh Kumar
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引用次数: 0

摘要

Milk fat is an important constituent of dairy products, which strongly determines the flavor, texture, nutrition, and market price of dairy products. Determining the fat content accurately is essential for the quality control of dairy products. In this work, we investigate, numerically, the performance of a surface plasmon resonance (SPR) Nano-biosensor for milk fat detection by angular interrogation method at a wavelength of 633 nm. The proposed sensor’s design using Kretschmann configuration composed of multilayered-Sulfide-based structure targeting for enhanced effective serial detection. Silver (Ag) layer is deposited on the substrate, followed by two layers which are silver gallium sulfide (\({AgGaS}_{2}\)) and lithium gallium sulfide (\({LiGaS}_{2}\)). Moreover, hybrids nanomaterials like BlueP/\({WSe}_{2}\), BlueP/\({MoSe}_{2},\) BlueP/\({MoS}_{2}\), and BlueP/\({WS}_{2}\) are incorporated to enhance the performance. Such materials exploit surface plasmon excitations and evanescent fields for highly sensitive fat detection. The higher field intensity and further penetration into the sensing layer contributes to the larger interaction volume, hence the increase in sensitivity of the sensor. The range of the biological analytes that can be detected by the proposed sensor is as low as 1.3450 to 1.3621 refractive index. Throughout the investigation the proposed structure shows the highest maximum sensitivity (359°/RIU), quality factor (97.42 RIU⁻1), and detection accuracy (1.66), showing a significant improvement compared with existing work.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and performance improvement of silver-gallium sulfide-TDMC heterostructure-based surface plasmon resonance nano biosensor for detection of fat in milk

Milk fat is an important constituent of dairy products, which strongly determines the flavor, texture, nutrition, and market price of dairy products. Determining the fat content accurately is essential for the quality control of dairy products. In this work, we investigate, numerically, the performance of a surface plasmon resonance (SPR) Nano-biosensor for milk fat detection by angular interrogation method at a wavelength of 633 nm. The proposed sensor’s design using Kretschmann configuration composed of multilayered-Sulfide-based structure targeting for enhanced effective serial detection. Silver (Ag) layer is deposited on the substrate, followed by two layers which are silver gallium sulfide (\({AgGaS}_{2}\)) and lithium gallium sulfide (\({LiGaS}_{2}\)). Moreover, hybrids nanomaterials like BlueP/\({WSe}_{2}\), BlueP/\({MoSe}_{2},\) BlueP/\({MoS}_{2}\), and BlueP/\({WS}_{2}\) are incorporated to enhance the performance. Such materials exploit surface plasmon excitations and evanescent fields for highly sensitive fat detection. The higher field intensity and further penetration into the sensing layer contributes to the larger interaction volume, hence the increase in sensitivity of the sensor. The range of the biological analytes that can be detected by the proposed sensor is as low as 1.3450 to 1.3621 refractive index. Throughout the investigation the proposed structure shows the highest maximum sensitivity (359°/RIU), quality factor (97.42 RIU⁻1), and detection accuracy (1.66), showing a significant improvement compared with existing work.

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来源期刊
Journal of Computational Electronics
Journal of Computational Electronics ENGINEERING, ELECTRICAL & ELECTRONIC-PHYSICS, APPLIED
CiteScore
4.50
自引率
4.80%
发文量
142
审稿时长
>12 weeks
期刊介绍: he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered. In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.
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