4.8 Article

Multilayered Nanoplasmonic Arrays for Self-Referenced Biosensing

Journal

ACS APPLIED MATERIALS & INTERFACES
Volume 10, Issue 40, Pages 34774-34780

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsami.8b12604

Keywords

plasmonics; biosensor; LSPR; self-referencing; multilayer

Funding

  1. Leverhulme Trust [RPG-2014-343]
  2. EPSRC [EP/P51133X/1]
  3. BBSRC [BB/N016734/1]

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Nanostructured sensors based on localized surface plasmon resonance (LSPR) offer a number of advantages over other optical sensing technologies, making them excellent candidates for miniaturized, label-free chemical and biological detection. Highly sensitive to local refractive index changes, the resonance peaks of the nanosensors shift by different amounts when subject to different biological and chemical environments. Modifications to the nanostructure surface allow for the detection of specific molecules and chemicals with shifts so sensitive that the presence of single molecules can be detected. However, this extreme sensitivity has its drawbacks. Resonance shifts also occur because of temperature shifts, light-intensity fluctuations, and other environmental factors. To distinguish detection from drift, a secondary sensor region is often required. This often doubles the size of the device, requires two light sources and detectors (or complex optics), doubles the sample volume required (which may be expensive, or may not be possible if the sample quantity is limited), and subjects the reference to potential biofouling. Here, we present a new proof-of-concept multilayered LSPR sensor design that incorporates both a sensing layer and an encapsulated reference layer within the same region. By doing so, we are able to monitor and correct for sensor drift without the need for a secondary reference channel. We demonstrate the suitability of this sensor for sucrose concentration measurements and for the detection of biotin-avidin interactions, while also showing that the sensor can self-correct for drift. We believe that this multilayer sensor design holds promise for point-of-care diagnostics.

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