The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Photonic crystals: emerging biosensors and their promise for point-of-care applications
Open accessAbstract
This review describes photonic crystal-based biosensors and discusses their potential applications and promise at the point-of-care settings.
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Cites
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Tattoo-Based Noninvasive Glucose Monitoring: A Proof-of-Concept Study
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Coloration strategies in peacock feathers
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Smartphone-based biosensors: A critical review and perspectives
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Biocompatible Materials for Continuous Glucose Monitoring Devices
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Reusable, Robust, and Accurate Laser-Generated Photonic Nanosensor
Yetisen, A. K., Montelongo, Y., da Cruz Vasconcellos, F., Martinez-Hurtado, J. L., Neupane, S., Butt, H., Qasim, M. M., Blyth, J., Burling, K., Carmody, J. B., et al. (2014) · Nano Letters · doi:10.1021/nl5012504 · Cited by 123
Light‐Directed Writing of Chemically Tunable Narrow‐Band Holographic Sensors
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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
Bioinspired Stimuli‐Responsive Color‐Changing Systems
Isapour, G., & Lattuada, M. (2018) · Advanced Materials · doi:10.1002/adma.201707069 · Cited by 348
Optical biosensors: A decade in review
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Metadata
- Authors
- Inan, H., Poyraz, M., Inci, F., Lifson, M. A., Baday, M., Cunningham, B. T., & Demirci, U.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2017
- Volume
- 46
- Issue
- 2
- Pages
- 366-388
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2556306308
- Cited by
- 480
- References
- 11
- FWCI
- 1.43
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.