首页|Non-invasive detection of COVID-19 using a microfluidic-based colorimetric sensor array sensitive to urinary metabolites
Non-invasive detection of COVID-19 using a microfluidic-based colorimetric sensor array sensitive to urinary metabolites
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A colorimetric sensor array designed on a paper substrate with a microfluidic structure has been developed.This array is capable of detecting COVID-19 disease by tracking metabolites of urine samples.In order to determine minor metabolic changes,various colorimetric receptors consisting of gold and silver nanopartides,metalloporphyrins,metal ion complexes,and pH-sensitive indicators are used in the array structure.By injecting a small volume of the urine sample,the color pattern of the sensor changes after 7 min,which can be observed visually.The color changes of the receptors(recorded by a scanner) are subsequently calculated by image analysis software and displayed as a color difference map.This study has been performed on 130 volunteers,including 60 patients infected by COVID-19,55 healthy controls,and 15 cured individuals.The resulting array provides a fingerprint response for each category due to the differences in the metabolic profile of the urine sample.The principal component analysis-discriminant analysis confirms that the assay sensitivity to the correctly detected patient,healthy,and cured participants is equal to 73.3%,74.5%,and 66.6%,respectively.Apart from COVID-19,other diseases such as chronic kidney disease,liver disorder,and diabetes may be detectable by the proposed sensor.However,this performance of the sensor must be tested in the studies with a larger sample size.These results show the possible feasibility of the sensor as a suitable alternative to costly and time-consuming standard methods for rapid detection and control of viral and bacterial infectious diseases and metabolic disorders.
Colorimetric detectionDigital color imagingPaper-based deviceNanoparticle receptorsPattern recognition analysisSensor arrayViral infection
Mohammad Mahdi Bordbar、Hosein Samadinia、Azarmidokht Sheini
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Chemical Injuries Research Center,Systems Biology and Poisonings Institute,Baqiyatallah University of Medical Sciences,Tehran,Iran
Department of Mechanical Engineering,Shohadaye Hoveizeh Campus of Technology,Shahid Chamran University of Ahvaz,Dashte Azadegan,Khuzestan,Iran