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Optical Refractive Index Sensors with Plasmonic and Photonic Structures: Promising and Inconvenient Truth
Abstract
Optical sensors are widely used for refractive index measurement in chemical, biomedical, and food processing industries. Due to specific field distribution of the resonances, optical sensors provide high sensitivity to ambient refractive index variations. The sensitivity of an optical sensor is highly dependent on material and structure of the sensor. Here, six major categories of optical refractive index sensors using plasmonic and photonic structures are reviewed: i) metal‐based propagating plasmonic eigenwave structures, ii) metal‐based localized plasmonic eigenmode structures, iii) dielectric‐based propagating photonic eigenwave structures, iv) dielectric‐based localized photonic eigenmode structures, v) advanced hybrid structures, and vi) 2D material integrated structures. Representative configurations working in the wavelength range of 400–2000 nm will be selected and compared in terms of bulk refractive index sensitivities, figures of merit, and working wavelengths. A technology map is established in order to define the standard and development trend for optical refractive index sensors.
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The chemistry of two-dimensional layered transition metal dichalcogenide nanosheets
Chhowalla, M., Shin, H. S., Eda, G., Li, L.-J., Loh, K. P., & Zhang, H. (2013) · Nature Chemistry · doi:10.1038/nchem.1589 · Cited by 10,034
Bogaerts, W., De Heyn, P., Van Vaerenbergh, T., De Vos, K., Kumar Selvaraja, S., Claes, T., Dumon, P., Bienstman, P., Van Thourhout, D., & Baets, R. (2012) · Laser & Photonics Reviews · doi:10.1002/lpor.201100017 · Cited by 2,643
Micrometre-scale silicon electro-optic modulator
Xu, Q., Schmidt, B., Pradhan, S., & Lipson, M. (2005) · Nature · doi:10.1038/nature03569 · Cited by 2,386
Ultra-high-Q toroid microcavity on a chip
Armani, D. K., Kippenberg, T. J., Spillane, S. M., & Vahala, K. J. (2003) · Nature · doi:10.1038/nature01371 · Cited by 2,214
Two-dimensional transition metal dichalcogenide nanosheet-based composites
Tan, C., & Zhang, H. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00182f · Cited by 1,605
Mid-infrared plasmonic biosensing with graphene
Rodrigo, D., Limaj, O., Janner, D., Etezadi, D., García de Abajo, F. J., Pruneri, V., & Altug, H. (2015) · Science · doi:10.1126/science.aab2051 · Cited by 1,462
On-chip gas detection in silicon optical microcavities
Robinson, J. T., Chen, L., & Lipson, M. (2008) · Optics Express · doi:10.1364/oe.16.004296 · Cited by 342
Cited by
Metasurface Micro/Nano-Optical Sensors: Principles and Applications
Qin, J., Jiang, S., Wang, Z., Cheng, X., Li, B., Shi, Y., Tsai, D. P., Liu, A. Q., Huang, W., & Zhu, W. (2022) · ACS Nano · doi:10.1021/acsnano.2c03310 · Cited by 359
Prospects and applications of on-chip lasers
Zhou, Z., Ou, X., Fang, Y., Alkhazraji, E., Xu, R., Wan, Y., & Bowers, J. E. (2023) · eLight · doi:10.1186/s43593-022-00027-x · Cited by 319
Metadata
- Authors
- Xu, Y., Bai, P., Zhou, X., Akimov, Y., Png, C. E., Ang, L., Knoll, W., & Wu, L.
- Venue
- Advanced Optical Materials
- Publisher
- Wiley
- Published
- 2019-02-18
- Volume
- 7
- Issue
- 9
- ISSN
- 2195-1071 (ISSN-L)
- OpenAlex
- W2915285521
- Cited by
- 519
- References
- 7
- FWCI
- 18.99
- Type
- journal article
- Language
- en
- Open access
- closed
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- Xu, Y., Bai, P., Zhou, X., Akimov, Y., Png, C. E., Ang, L., Knoll, W., & Wu, L. (2019). Optical Refractive Index Sensors with Plasmonic and Photonic Structures: Promising and Inconvenient Truth. Advanced Optical Materials. https://doi.org/10.1002/adom.201801433
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