Background
COVID-19 is a highly contagious respiratory disease that can be transmitted through human exhaled breath. It has caused immense loss and has challenged the healthcare sector. It has affected the economy of countries and thereby affecting numerous sectors. Analysis of human breath samples is an attractive strategy for rapid diagnosis of COVID-19 by monitoring breath biomarkers.
Content
Breath collection is a non-invasive process. Various technologies are employed for detection of breath biomarkers like mass spectrometry, biosensors, artificial learning, machine learning. These tools have low turn-around time, robustness, onsite results, Also, MS based approaches are promising tools with high speed, specificity, sensitivity, reproducibility and broader coverage as well as its coupling with various chromatographic separation techniques provides better clinical and biochemical understanding of COVID-19 using breath samples.
Summary
Herein, we have tried to review the MS based approaches as well as other techniques used for analysis of breath samples for COVID-19 diagnosis. We have also highlighted the different breath analyzers being developed for COVID-19 detection.