A near infrared dual-emitting/absorbing LRET sensor for homogeneous detection of avian-origin viruses
Joonseok Lee
Molecular Recognition Research Center, Korea Institute of Science and Technology (KIST), Seoul 02792, South Korea
*E-mail address: jslee@kist.re.kr
Conventional optical biosensing systems mostly use a single responsive signal in the region of visible light, limiting their practical applications because the signal can be easily perturbed by external environmental factors such as target-independent signal error, light-scattering, and auto-fluorescence. To date, classical visible light-based LRET techniques using organic dyes and/or inorganic-based complexes have been developed for various biosensing applications by taking advantage of their simplicity and versatility. Nonetheless, these techniques often have problems that affect visible region-based applications (e.g., autofluorescence and light-scattering), organic dye-based applications (e.g., photo-bleaching and poor chemical stability), and inorganic-based applications, such as gold nanoparticles and quantum dots (e.g., broad absorption spectrum). In this study, near-infrared (NIR)-based self-calibrating luminescence resonance energy transfer (LRET) system was developed for detection of analytes in homogeneous sandwich-immunoassays. The LRET pair consisted of NIR dual-emitting lanthanide-doped nanoparticles (LnNPs) as donor and NIR-absorbing LnNPs as acceptor. Single-chain variable fragments (scFvs) were screened and used as a target avian influenza virus (AIV)-binding antibody to increase LRET efficiency in homogeneous sandwich-immunoassays. Proposed compact LRET sensor platform successfully detected AIV nucleoproteins with limit of detection of 0.38 pM in HEPES buffer and clinical samples, such as oropharyngeal and cloacal swabs. These results demonstrated that inorganic LnNPs could be used as a self-calibrating LRET system in the NIR region. Furthermore, compact scFv-type homogeneous assays enabled convenient, highly sensitive detection of avian-origin viruses in clinical samples.
Joonseok Lee, Senior Research Scientist,
+82-2-958-5079, jslee@kist.re.kr
Materials Science and Engineering, Hanyang University (BS), Materials Science and Engineering, KAIST (MS, Ph.D.)
Research area: Functional nanomaterials, Healthcare applications
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