A Highly Sensitive and Specific Photonic Crystal-Based Opioid Sensor with Rapid Regeneration.


Journal

ACS applied materials & interfaces
ISSN: 1944-8252
Titre abrégé: ACS Appl Mater Interfaces
Pays: United States
ID NLM: 101504991

Informations de publication

Date de publication:
14 Jun 2023
Historique:
medline: 16 6 2023
pubmed: 30 5 2023
entrez: 30 5 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 37252783
doi: 10.1021/acsami.3c03722
pmc: PMC10636717
mid: NIHMS1941065
doi:

Substances chimiques

Analgesics, Opioid 0
Fentanyl UF599785JZ
Morphine Derivatives 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

27647-27657

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB029363
Pays : United States

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Auteurs

So Hee Nah (SH)

Department of Materials Science and Engineering, University of Pennsylvania, 3231 Walnut Street, Philadelphia, Pennsylvania 19104 United States.

Daisy Unsihuay (D)

Department of Pathology and Laboratory Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, Pennsylvania 19104 United States.

Ping Wang (P)

Department of Pathology and Laboratory Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, Pennsylvania 19104 United States.

Shu Yang (S)

Department of Materials Science and Engineering, University of Pennsylvania, 3231 Walnut Street, Philadelphia, Pennsylvania 19104 United States.

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Classifications MeSH