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Photonics-on-a-chip: recent advances in integrated waveguides as enabling detection elements for real-world, lab-on-a-chip biosensing applications

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Washburn, Adam L., Bailey, Ryan C.·2011·The Analyst

Abstract

By leveraging advances in semiconductor microfabrication technologies, chip-integrated optical biosensors are poised to make an impact as scalable and multiplexable bioanalytical measurement tools for lab-on-a-chip applications. In particular, waveguide-based optical sensing technology appears to be exceptionally amenable to chip integration and miniaturization, and, as a result, the recent literature is replete with examples of chip-integrated waveguide sensing platforms developed to address a wide range of contemporary analytical challenges. As an overview of the most recent advances within this dynamic field, this review highlights work from the last 2-3 years in the areas of grating-coupled, interferometric, photonic crystal, and microresonator waveguide sensors. With a focus towards device integration, particular emphasis is placed on demonstrations of biosensing using these technologies within microfluidically controlled environments. In addition, examples of multiplexed detection and sensing within complex matrices--important features for real-world applicability--are given special attention.

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Metadata

Authors
Washburn, A. L., & Bailey, R. C.
Venue
The Analyst
Published
2011
Volume
136
Issue
2
Pages
227-236
ISSN
  • 0003-2654 (ISSN-L)
  • 1364-5528
OpenAlex
W2143308799
Cited by
182
References
0
FWCI
12.21
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Photonics-on-a-chip: recent advances in integrated waveguides as enabling detection elements for real-world, lab-on-a-chip biosensing applications. https://app.cochat.ai/papers/10.1039/c0an00449a
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Washburn, A. L., & Bailey, R. C. (2011). Photonics-on-a-chip: recent advances in integrated waveguides as enabling detection elements for real-world, lab-on-a-chip biosensing applications. The Analyst. https://doi.org/10.1039/c0an00449a

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.