Paper
12 September 2011 Recyclable optical microcavities for label-free sensing
Heather K. Hunt, Andrea M. Armani
Author Affiliations +
Abstract
High-sensitivity, label-free biosensors, such as optical microcavities, have shown tremendous potential in medical diagnostics, environmental monitoring, and food safety evaluation, particularly when paired with a biochemical recognition element that grants high specificity towards a target of interest. Their primary limitation is that these systems are single-use, unless the recognition element can be regenerated. Therefore, the ability to selectively functionalize the optical microcavity for a specific target molecule and then recycle the system, without degrading device performance, is extremely important. Here, we present a bioconjugation strategy that not only imparts specificity to optical microcavities, but also allows for biosensor recycling. In this approach, we selectively functionalize the surface of silica microtoroids with a biotin recognition element. We then use a non-destructive O2 plasma treatment to remove the surface chemistry, refresh the recognition element, and recycle the device. The surface chemistry and optical performance of the functionalized and recycled devices are characterized by microcavity analysis, and typical spectroscopic techniques, respectively. The resulting devices can be recycled several times without performance degradation, and show high density surface coverage of biologically active recognition elements. This work represents one of the first examples of a recyclable, bioconjugation strategy for optical microtoroid resonators.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Heather K. Hunt and Andrea M. Armani "Recyclable optical microcavities for label-free sensing", Proc. SPIE 8099, Biosensing and Nanomedicine IV, 80990M (12 September 2011); https://doi.org/10.1117/12.890445
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KEYWORDS
Chemical elements

Optical microcavities

Transducers

Biosensors

Signal detection

Silica

Oxygen

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