FAO AGRIS - International System for Agricultural Science and Technology

A compact, low-cost, and binary sensing (BiSense) platform for noise-free and self-validated impedimetric detection of COVID-19 infected patients

2022

Salahandish, Razieh | Jalali, Pezhman | Tabrizi, Hamed Osouli | Hyun, Jae Eun | Haghayegh, Fatemeh | Khalghollah, Mahmood | Zare, Azam | Berenger, Byron M. | Niu, Yan Dong | Ghafar-Zadeh, Ebrahim | Sanati-Nezhad, Amir


Bibliographic information
Volume 213 Pagination 114459 ISSN 0956-5663
Publisher
Elsevier B.V.
Other Subjects
Biomarkers; Bi-potentiostat; Rapid tests; Point-of-care; Dielectric spectroscopy; Nucleocapsid; Electrochemical biosensing; Covid-19 infection
Language
English
Type
Journal Article; Text

2024-02-28
MODS
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