Visual diagnosis of COVID-19 disease based on serum metabolites using a paper-based electronic tongue.

ABSTRACT: This study aims to use a paper-based sensor array for point-of-care detection of COVID-19 diseases. Various chemical compounds such as nanoparticles, organic dyes and metal ion complexes were employed as sensing elements in the array fabrication, capturing the metabolites of human serum samples. The viral infection caused the type and concentration of serum compositions to change, resulting in different color responses for the infected and control samples. For this purpose, 118 serum samples of COVID-19 patients and non-COVID controls both men and women with the age range of 14-88 years were collected. The serum samples were initially subjected to the sensor, followed by monitoring the variation in the color of sensing elements for 5 min using a scanner. By taking into consideration the st

SUBMITTER: Bordbar MM 

PROVIDER: S-EPMC9393192 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature