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Glasswing-Butterfly-Inspired Multifunctional Scleral Lens and Smartphone Raman Spectrometer for Point-of-Care Tear Biomarker Analysis

Narasimhan, Vinayak and Siddique, Radwanul Hasan and Kim, Un Jeong and Lee, Suyeon and Kim, Hyochul and Roh, YoungGeun and Wang, Yibing Michelle and Choo, Hyuck (2022) Glasswing-Butterfly-Inspired Multifunctional Scleral Lens and Smartphone Raman Spectrometer for Point-of-Care Tear Biomarker Analysis. Advanced Science . Art. No. 2205113. ISSN 2198-3844. doi:10.1002/advs.202205113. (In Press) https://resolver.caltech.edu/CaltechAUTHORS:20221219-418113000.43

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Abstract

Augmenting contact lenses with sensing capabilities requires incorporating multiple functionalities within a diminutive device. Inspired by multifunctional biophotonic nanostructures of glasswing butterflies, a nanostructured scleral lens with enhanced optical, bactericidal, and sensing capabilities is reported. When used in conjunction with a smartphone-integrated Raman spectrometer, the feasibility of point-of-care applications is demonstrated. The bioinspired nanostructures made on parylene films are mounted on the anterior and posterior side of a scleral lens to create a nanostructured lens. Compared to unstructured parylene, nanostructured parylene minimizes glare by 4.3-fold at large viewing angles up to 80o. When mounted on a scleral lens, the nanostructures block 2.8-fold more ultraviolet (UVA) light while offering 1.1-fold improved transmission in the visible regime. Furthermore, the nanostructures exhibit potent bactericidal activity against Escherichia coli, killing 89% of tested bacteria within 4 h. The same nanostructures, when gold-coated, are used to perform rapid label-free multiplex detection of lysozyme and lactoferrin, the protein biomarkers of the chronic dry eye disease, in whole human tears using drop-coating deposition Raman spectroscopy. The detection of both proteins in whole human tear samples from different subjects using the nanostructured lens produced excellent correlation with commercial enzyme-based assays while simultaneously displaying a 1.5-fold lower standard deviation.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1002/advs.202205113DOIArticle
ORCID:
AuthorORCID
Narasimhan, Vinayak0000-0003-4165-402X
Siddique, Radwanul Hasan0000-0001-7494-5857
Choo, Hyuck0000-0002-8903-7939
Additional Information:V.N. and R.H.S. contributed equally to this work. This research was partially supported by the Samsung Global Research Outreach (GRO) program . The authors are also thankful for the support and resources provided by the Kavli Nanoscience Institute and the Beckman Institute Biological Imaging Facility at Caltech.
Group:Kavli Nanoscience Institute
Funders:
Funding AgencyGrant Number
SAMSUNG Global Research OutreachUNSPECIFIED
DOI:10.1002/advs.202205113
Record Number:CaltechAUTHORS:20221219-418113000.43
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20221219-418113000.43
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:118512
Collection:CaltechAUTHORS
Deposited By: Research Services Depository
Deposited On:20 Jan 2023 21:13
Last Modified:20 Jan 2023 21:13

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