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Localized surface plasmon resonance aptasensor for the highly sensitive direct detection of cortisol in human saliva

Authors
Jo, SeongjaeLee, WonseokPark, JoohyungKim, WoongKim, WoochangLee, GyudoLee, Heon-JeongHong, JunghwaPark, Jinsung
Issue Date
1-2월-2020
Publisher
ELSEVIER SCIENCE SA
Keywords
Cortisol; Aptasensor; Localized surface plasmon resonance; Gold nanoparticles; Human saliva
Citation
SENSORS AND ACTUATORS B-CHEMICAL, v.304
Indexed
SCIE
SCOPUS
Journal Title
SENSORS AND ACTUATORS B-CHEMICAL
Volume
304
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/57715
DOI
10.1016/j.snb.2019.127424
ISSN
0925-4005
Abstract
Cortisol, which is a stress biomarker that causes various mental disorders, is found in sweat, saliva, blood, and urine. Because mental disorders resulting from stress are a silent contributor to various diseases, the detection of cortisol level is an important step in their prevention. Here, we developed a highly sensitive, localized surface plasmon resonance (LSPR) aptasensor for the direct detection of cortisol in saliva. The LSPR aptasensor was constructed using gold nanoparticles of different sizes. Subsequently, the surface of the LSPR substrate was immobilized using an aptamer for capturing cortisol. The detection capability of the LSPR aptasensor was compared with that of the antibody- immobilized sensor. The LSPR aptasensor displayed excellent detection capability for a wide range of cortisol concentrations extending from 0.1-1000 nM with a detection limit of 0.1 nM. In addition, the LSPR aptasensor was able to selectively detect cortisol among other substances with similar chemical structures (e.g., cortisone, corticosterone, progesterone, and triamcinolone). These results indicate that the LSPR aptasensor may be used for the highly sensitive and selective detection of cortisol in salivary samples.
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Graduate School > Department of Biotechnology and Bioinformatics > 1. Journal Articles
Graduate School > Department of Biomedical Sciences > 1. Journal Articles
Graduate School > Department of Control and Instrumentation Engineering > 1. Journal Articles

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