A highly sensitive and specific photonic crystal based opioid sensor with rapid regeneration

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School of Engineering and Applied Science::Department of Materials Science & Engineering
School of Engineering and Applied Science::Laboratory for Research on the Structure of Matter
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Discipline
Materials Engineering
Subject
Biosensor
Opioid sensing
Photonic Crystals
Regeneration
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National Institute of Health (NIH)
NSF/Materials Research Science and Engineering Center (MRSEC)
NSF National Nanotechnology Coordinated Infrastructure Program
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2023
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Nah, So Hee
Unsihuay, Daisy
Wang, Ping
Abstract

Opioid misuse and overdose have caused devastating public health challenges and economic burdens, calling for the need of rapid, accurate sensitive opioid sensors. Here, we report a photonic crystal-based opioid sensor in the total internal reflection configuration, providing label-free, rapid, quantitative measurements through change of the refractive index. The one-dimensional photonic crystal with a defect layer that is immobilized with opioid antibodies acts as a resonator with an open microcavity. The highly accessible structure responds to analytes within a minute after the aqueous opioid solution is introduced, achieving the highest sensitivity of 5688.8 nm/refractive index unit (RIU) at the incident angle of 63.03°. Our sensor shows a limit of detection (LOD) of 7 ng/mL for morphine in phosphate-buffered saline (PBS, pH 7.4) solutions, well below the required clinical detection limit, and an LOD of 6 ng/mL for fentanyl in PBS, close to the clinical requirement. The sensor can selectively detect fentanyl from a mixture of morphine and fentanyl and be regenerated in 2 min with up to 93.66% recovery rate after five cycles. The efficacy of our sensor is further validated in artificial interstitial fluid and human urine samples.

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2023
Journal title
ACS Applied Materials & Interfaces
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American Chemical Society
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