An NIR dual-emitting/absorbing inorganic compact pair: A self-calibrating LRET system for homogeneous virus detection.

Avian origin-virus Homogeneous sandwich-immunoassay Lanthanide-doped nanoparticles Near-infrared region Single-chain variable fragment

Journal

Biosensors & bioelectronics
ISSN: 1873-4235
Titre abrégé: Biosens Bioelectron
Pays: England
ID NLM: 9001289

Informations de publication

Date de publication:
15 Oct 2021
Historique:
received: 12 03 2021
revised: 10 05 2021
accepted: 18 05 2021
pubmed: 8 6 2021
medline: 23 7 2021
entrez: 7 6 2021
Statut: ppublish

Résumé

Many conventional optical biosensing systems use a single responsive signal in the visible light region. This limits their practical applications, as the signal can be readily perturbed by various external environmental factors. Herein, a near-infrared (NIR)-based self-calibrating luminescence resonance energy transfer (LRET) system was developed for background-free detection of analytes in homogeneous sandwich-immunoassays. The inorganic LRET pair was comprised of NIR dual-emitting lanthanide-doped nanoparticles (LnNPs) as donors and NIR-absorbing LnNPs as acceptors, which showed a narrow absorption peak (800 nm) and long-term stability, enabling stable LRET with a built-in self-calibrating signal. Screened single-chain variable fragments (scFvs) were used as target avian influenza virus (AIV)-binding antibodies to increase the LRET efficiency in sandwich-immunoassays. The compact sensor platform successfully detected AIV nucleoproteins with a 0.38 pM limit of detection in buffer solution and 64 clinical samples. Hence, inorganic LnNP pairs may be effective for self-calibrating LRET systems in the background-free NIR region.

Identifiants

pubmed: 34098357
pii: S0956-5663(21)00406-1
doi: 10.1016/j.bios.2021.113369
pii:
doi:

Substances chimiques

Lanthanoid Series Elements 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

113369

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Dongkyu Kang (D)

Molecular Recognition Research Center, Korea Institute of Science and Technology (KIST), Seoul, 02792, South Korea; Departments of Material Science and Engineering, Yonsei University, Seodaemun-gu, Seoul, 120-749, South Korea.

Hyun Joo Ahn (HJ)

Synthetic Biology and Bioengineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.

Jiho Lee (J)

Avian Disease and Infectious Disease Laboratory, College of Veterinary Medicine, Konkuk University, Seoul, 05029, South Korea.

Sang Kyung Kim (SK)

Molecular Recognition Research Center, Korea Institute of Science and Technology (KIST), Seoul, 02792, South Korea.

Jaechul Pyun (J)

Departments of Material Science and Engineering, Yonsei University, Seodaemun-gu, Seoul, 120-749, South Korea.

Chang-Seon Song (CS)

Avian Disease and Infectious Disease Laboratory, College of Veterinary Medicine, Konkuk University, Seoul, 05029, South Korea.

Sang Jick Kim (SJ)

Synthetic Biology and Bioengineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea. Electronic address: sjick@kribb.re.kr.

Joonseok Lee (J)

Molecular Recognition Research Center, Korea Institute of Science and Technology (KIST), Seoul, 02792, South Korea; Department of Chemistry, Hanyang University, Seoul, 04763, Republic of Korea. Electronic address: jslee@kist.re.kr.

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