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Naloxone-AuNPs@ZIF-8-Based Impedimetric Sensor Platform for Ultrasensitive Detection of Fentanyl and Fabrication of Fen-Track Prototype for Real-Field Analysis.
Paul, Anirban; Banga, Ivneet Kaur; Muthukumar, Sriram; Prasad, Shalini.
Afiliação
  • Paul A; Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
  • Banga IK; Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
  • Muthukumar S; Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
  • Prasad S; EnLiSense LLC, 1813 Audubon Pondway, Allen, Texas 75013, United States.
ACS Appl Mater Interfaces ; 16(1): 190-200, 2024 Jan 10.
Article em En | MEDLINE | ID: mdl-38153905
ABSTRACT
Opioids are considered to be a global threat, and we are facing the worst opioid crisis of the decade. Synthetic opioids like fentanyl are highly potent and deadly toward human body, and hence its detection is an inevitable requirement globally. Naloxone is known for its antagonist property toward fentanyl, and we performed computational simulations to find their interactions and use this principle to build the first of a kind impedimetric sensor device, transduced by 3D-ZIF-8 with in situ encapsulated naloxone-gold nanoparticles. The probe is synthesized using a unique encapsulation strategy, thoroughly characterized by various physicochemical and microscopic tools. The sensor is highly selective toward fentanyl and can detect fentanyl up to 100 ppm in a synthetic sample. A prototype device is also built based on the synthetic calibration and applied to the spiked urine sample, and the performance is evaluated using statistical and machine learning tools.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nanopartículas Metálicas / Naloxona Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nanopartículas Metálicas / Naloxona Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article