Bhuvneshwer Suthar, Abhilasha Choudhary, Ravi Parihar, Anami Bhargava
{"title":"利用一维光子晶体光基检测水生藻类","authors":"Bhuvneshwer Suthar, Abhilasha Choudhary, Ravi Parihar, Anami Bhargava","doi":"10.1007/s10825-025-02419-x","DOIUrl":null,"url":null,"abstract":"<div><p>We investigate a one-dimensional photonic crystal (1D-PhC) structure with a central defect layer designed for optical biosensing applications, particularly for algae detection. The structure consists of alternate layers of silicon dioxide (SiO<sub>2</sub>) and titanium dioxide (TiO<sub>2</sub>). A defect layer, representing the biological sample, is introduced at the center generating a confined defect mode within the PBG. Using the transfer matrix method, we explore the effects of structural parameters, including the number of unit cells, defect layer thickness, and angle of incidence, on the transmission spectra to optimize the structural parameter. Finally, the biosensor’s performance is evaluated by simulating various algae species as defect layers. It is to mention that Green algae offers a peak shift to 584.1477 nm and FWHM of 0.060993 nm with QF of 9577.32. Other species show similar tunability and further cause redshifts in the resonance wavelength. Distinct shifts in the resonance wavelength confirm the sensor’s high sensitivity and selectivity demonstrating the potential of the device as a robust, label-free platform for environmental biosensing. Hence, such new idea is based on the detection of the presence of Aquatic Algae in water that creates water pollution hazardous for human and animals and plants.</p></div>","PeriodicalId":620,"journal":{"name":"Journal of Computational Electronics","volume":"24 6","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Light-based detection of aquatic algae using one-dimensional photonic crystals\",\"authors\":\"Bhuvneshwer Suthar, Abhilasha Choudhary, Ravi Parihar, Anami Bhargava\",\"doi\":\"10.1007/s10825-025-02419-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We investigate a one-dimensional photonic crystal (1D-PhC) structure with a central defect layer designed for optical biosensing applications, particularly for algae detection. The structure consists of alternate layers of silicon dioxide (SiO<sub>2</sub>) and titanium dioxide (TiO<sub>2</sub>). A defect layer, representing the biological sample, is introduced at the center generating a confined defect mode within the PBG. Using the transfer matrix method, we explore the effects of structural parameters, including the number of unit cells, defect layer thickness, and angle of incidence, on the transmission spectra to optimize the structural parameter. Finally, the biosensor’s performance is evaluated by simulating various algae species as defect layers. It is to mention that Green algae offers a peak shift to 584.1477 nm and FWHM of 0.060993 nm with QF of 9577.32. Other species show similar tunability and further cause redshifts in the resonance wavelength. Distinct shifts in the resonance wavelength confirm the sensor’s high sensitivity and selectivity demonstrating the potential of the device as a robust, label-free platform for environmental biosensing. Hence, such new idea is based on the detection of the presence of Aquatic Algae in water that creates water pollution hazardous for human and animals and plants.</p></div>\",\"PeriodicalId\":620,\"journal\":{\"name\":\"Journal of Computational Electronics\",\"volume\":\"24 6\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computational Electronics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10825-025-02419-x\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Electronics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10825-025-02419-x","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Light-based detection of aquatic algae using one-dimensional photonic crystals
We investigate a one-dimensional photonic crystal (1D-PhC) structure with a central defect layer designed for optical biosensing applications, particularly for algae detection. The structure consists of alternate layers of silicon dioxide (SiO2) and titanium dioxide (TiO2). A defect layer, representing the biological sample, is introduced at the center generating a confined defect mode within the PBG. Using the transfer matrix method, we explore the effects of structural parameters, including the number of unit cells, defect layer thickness, and angle of incidence, on the transmission spectra to optimize the structural parameter. Finally, the biosensor’s performance is evaluated by simulating various algae species as defect layers. It is to mention that Green algae offers a peak shift to 584.1477 nm and FWHM of 0.060993 nm with QF of 9577.32. Other species show similar tunability and further cause redshifts in the resonance wavelength. Distinct shifts in the resonance wavelength confirm the sensor’s high sensitivity and selectivity demonstrating the potential of the device as a robust, label-free platform for environmental biosensing. Hence, such new idea is based on the detection of the presence of Aquatic Algae in water that creates water pollution hazardous for human and animals and plants.
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.