Highly sensitive photonic crystal based biosensor for Bacillus cereus
| Autor: | Preeta Sharan, H. R. Bhanumathi, S. S. Ajey, P. C. Srikanth |
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| Rok vydání: | 2020 |
| Předmět: |
Human food
Chromatography Spectral signature biology Computer Networks and Communications Computer science Applied Mathematics fungi Bacillus cereus 020206 networking & telecommunications 02 engineering and technology Optical biosensor biology.organism_classification Computer Science Applications Highly sensitive Computational Theory and Mathematics Cereus Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Electrical and Electronic Engineering Biosensor Information Systems Photonic crystal |
| Zdroj: | International Journal of Information Technology. 12:1393-1402 |
| ISSN: | 2511-2112 2511-2104 |
| DOI: | 10.1007/s41870-020-00507-8 |
| Popis: | The Bacillus cereus or B. cereus group comprises genetically closely related species with variable toxigenic characteristics. Most human food poisoning is caused by B. cereus. B. cereus is associated with nosocomial and opportunistic infections, particularly in immunocompromised patients. The motivation for this work was to provide an alternate method of detection of B. cereus on the fly. The purpose of the current study is to establish an innovative method to detect B. cereus. The proposed technique relies on a change in refractive index (RI) between normal and B. cereus infected blood. This involves the spectral analysis of the sample and uses the unique RI of the bacteria as a spectral signature for detection. The design incorporates an optical biosensor based on the photonic crystal (PC). Here we have considered two configurations—concentric and the side by side hexagonal ring resonators for PC based biosensor design. We have observed the shift in the frequency of the spectrum between normal and infected blood. From the plotted transmission spectrum, we conclude that there is a significant shift in frequency because of the change in RI due to infection. For the designed biosensors the ranges of Quality factors obtained are between 722 to 1626.31 and Sensitivity 1.0845 µm/RIU to 375.5 µm/RIU. This concludes that we can use B. cereus infected blood specific transmission spectra as a signature to match unknown blood sample to detect B. cereus. |
| Databáze: | OpenAIRE |
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