One-dimensional photonic crystal biosensors encompassing defect layer for bloodstream bacteria detection

Birhanu, Ruth; Gemta, Abebe Belay; Tolessa Maremi, Fekadu; Kumela, Alemayehu Getahun

doi:10.1007/s12596-024-01665-9

J Opt

2024

DOI: 10.1007/s12596-024-01665-9

|View full text |Cite

One-dimensional photonic crystal biosensors encompassing defect layer for bloodstream bacteria detection

Ruth Birhanu,

Abebe Belay Gemta,

Fekadu Tolessa Maremi

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

High sensitivity photonic crystal biosensor design for real time detection of viruses in infected blood sample

Gürel,

Ceylan

2024

J Opt

View full text Add to dashboard Cite

High sensitivity photonic crystal biosensor design for real time detection of viruses in infected blood sample

Gürel,

Ceylan

2024

J Opt

View full text Add to dashboard Cite

Optimization of Optical Biosensor Based on 1D Photonic Crystals with Metaheuristic Algorithms for Measuring Glucose Concentration

Al-Moliki,

Alqahtani

et al. 2024

ECS J. Solid State Sci. Technol.

View full text Add to dashboard Cite

We aim to simulate an optimal optical biosensor based on one-dimensional crystal photonics, for measuring blood and urine glucose concentration. By optimizing the sensor structure through metaheuristic optimization algorithms, sensitivity was increased. To measure blood and urine glucose concentration, these materials are used as a defect layer in one-dimensional crystal photonics, consisting of three materials: magnesium fluoride (MgF2), borosilicate glass (BK7), and orphan iodide (LiI) with refractive indices of 37/ 1, 1/5, and 1/99. By changing the concentration of glucose, the refractive index of the defect layer changes, changing the optical properties of the defect layer in the photonic crystal and the spectrum of transmitted and reflected light. According to the amount of light absorption by glucose, a wavelength range of 900-2200 nm (near infrared) was used as the input light. The transfer matrix method was used to calculate multi-layer systems. This method is based on the definition of two matrices, the boundary matrix and the diffusion matrix, which can be used to directly apply the boundary conditions. By plotting the spectrum passing through the crystal using the transfer matrix method and determining the location of the peak in the spectrum, the sensitivity of the sensor was calculated for different concentrations of glucose in blood and urine. The sensitivity obtained before optimization was 530 nm/RIU, while after optimization it reached 842 nm/RIU

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

One-dimensional photonic crystal biosensors encompassing defect layer for bloodstream bacteria detection

Cited by 2 publications

References 63 publications

High sensitivity photonic crystal biosensor design for real time detection of viruses in infected blood sample

High sensitivity photonic crystal biosensor design for real time detection of viruses in infected blood sample

Optimization of Optical Biosensor Based on 1D Photonic Crystals with Metaheuristic Algorithms for Measuring Glucose Concentration

Contact Info

Product

Resources

About