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Cited 22 time in webofscience Cited 27 time in scopus
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Nanosensor-Based Real-Time Monitoring of Stress Biomarkers in Human Saliva Using a Portable Measurement System SCIE SCOPUS

Title
Nanosensor-Based Real-Time Monitoring of Stress Biomarkers in Human Saliva Using a Portable Measurement System
Authors
Klinghammer, S.Voitsekhivska, T.Licciardello, N.Kim, K.Baek, C.-K.Cho, H.Wolter, K.-J.Kirschbaum, C.Baraban, L.Cuniberti, G.
Date Issued
2020-12-24
Publisher
AMER CHEMICAL SOC
Abstract
Small molecules with no or little charge are considered to have minimal impact on signals measured by field effect transistor (FET) sensors. This fact typically excludes steroids from the family of analytes, detected by FETs. We present a portable multiplexed platform based on an array of nanowire sensors for label-free monitoring of daytime levels of the stress hormone cortisol in saliva samples, obtained from multiple donors. To achieve an effective quantification of the cortisol with FETs, we rely on the specific DNA aptamer sequences as receptors, bringing the complex "target-receptor" closer to the nanowire surface. Upon binding, cortisol induces conformational changes of negatively charged aptamers, wrapping it into a close proximity to the silicon nanowires, to efficiently modulate their surface potential. Thus, the sensors allow for a real-time assessment of the steroid biomarkers at low nanomolar concentration. The measurement platform is designed in a building-block concept, consisting of a modular measuring unit and a customizable biochip board, and operates using a complementary metal-oxide-semiconductor-integrated multiplexer. The platform is capable of continuous and simultaneous measurement of samples from multiple patients. Cortisol levels detected with the presented platform agreed well with the results obtained with a commercial high-sensitivity immunoassay.
Keywords
LABEL-FREE DETECTION; ELECTRICAL DETECTION; CORTISOL DETECTION; DNA; TRANSISTORS; NANOWIRES; GRAPHENE; ARRAY; ASSAY
URI
https://oasis.postech.ac.kr/handle/2014.oak/104888
DOI
10.1021/acssensors.0c02267
ISSN
2379-3694
Article Type
Article
Citation
ACS SENSORS, vol. 5, no. 12, page. 4081 - 4091, 2020-12-24
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백창기BAEK, CHANG KI
Dept. Convergence IT Engineering
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