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  4. Hybrid graphene-based photonic-plasmonic biochemical sensor with a photonic and acoustic cavity structure
 
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Hybrid graphene-based photonic-plasmonic biochemical sensor with a photonic and acoustic cavity structure

Journal
Crystals
Journal Volume
11
Journal Issue
10
Date Issued
2021
Author(s)
CHIEN-HAO LIU  
DOI
10.3390/cryst11101175
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116133592&doi=10.3390%2fcryst11101175&partnerID=40&md5=ed95adffb4d3768cada7aef5e67cd25b
https://scholars.lib.ntu.edu.tw/handle/123456789/598755
Abstract
In this study, we propose a biochemical sensor that features a photonic cavity integrated with graphene. The tunable hybrid plasmonic-photonic sensor can detect the molecular finger-prints of biochemicals with a small sample volume. The stacking sequence of the device is “ITO grating/graphene/TiO2 /Au/Si substrate”, which composes a photonic band gap structure. A defect is created within the ITO gratings to form a resonant cavity. The plasmonic-photonic energy can be confined in the cavity to enhance the interaction between light and the analyte deposited in the cavity. The finite element simulation results indicated that the current sensor exhibits very high values in resonance shift and sensitivity. Moreover, the resonance spectrum with a broad resonance linewidth can identify the molecular vibration bands, which was exemplified by the fingerprint detections of protein and the chemical compound CBP. The sensor possesses an electrical tunability by including a graphene layer, which allowed us to tune the effective refractive index of the cavity to increase the sensor’s sensing performance. In addition, our device admits a phononic bandgap as well, which was exploited to sense the mechanical properties of two particular dried proteins based on the simplified elastic material model instead of using the more realistic viscoelastic model. The dual examinations of the optical and mechanical properties of analytes from a phoxonic sensor can improve the selectivity in analyte detections. ? 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Subjects
Biochemical sensor
Graphene
Photonic cavity
Phoxonic crystal
Plasmon
SDGs

[SDGs]SDG7

Type
journal article

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