Researchers Develop COVID-19 S –


Agilent + Technologies + Inc. (NYSE: A) announces that researchers at Indian + Institute + of + Technology + Bombay in India and QIMR + Berghofer + Medical + Research + Institute in Australia have developed rapid method to differentiate COVID-19 positive patients who should show severe symptoms from those likely to experience only mild symptoms. The classification algorithm, published in the journal Analytics + Chemistry, is based on infrared spectra of blood plasma, acquired on an Agilent + Cary + 630 + FTIR + Spectrometer.

The COVID-19 virus has infected more than 200 million people in 220 countries and territories in less than 18 months, devastating many health systems.I Resources such as ventilators and hospital beds remain in high demand, and shortages endanger the lives of critically ill patients. However, not all COVID-19 patients have symptoms that require intensive care. Early identification and prioritization (triage) of patients based on their severity can help free up resources and improve patient outcomes.ii This research has the potential to provide important support to healthcare workers facing critical resource decisions.

In the study, researchers collected infrared spectra of blood plasma from 160 COVID-positive patients in Mumbai (130 as a training set for pattern development and 30 as a blind test set. for model validation). The spectra, collected on a Cary 630 FTIR spectrometer equipped with a diamond attenuated total reflectance (ATR) sampling module, revealed slight but observable differences between samples from severe and non-severe COVID-19 patients.

Associate Professor Michelle Hill, head of the Precision Biomedicine and Systems Research Group at QIMR Berghofer, and one of the lead scientists in the study, explained: “We found that there were measurable differences in infrared spectra in patients who have become seriously ill. In particular, there were differences in two infrared regions that correspond to the chemical groups of sugar and phosphate, as well as primary amines, which occur in specific types of proteins.

Based on these differences, a multivariate statistical model was developed and tested.

Professor Sanjeeva Srivastava from the Indian Institute of Technology in Bombay added: the algorithm. We then tested the algorithm on blood samples from a separate group of 30 Mumbai patients and found it to be 69.2% specific and 94.1% sensitive to predict which patients would become seriously ill.

“However, this resulted in more ‘false positives’ than predictions based solely on clinical risk factors of age, gender, hypertension and diabetes. We hope that with more testing we can reduce these false positives, ”explained Professor Srivastava.

Andrew Hind, associate vice president of research and development for Agilent’s molecular spectroscopy division, said: study. Their work highlights the potential of ATR-FTIR spectroscopy for research into COVID-19 and infectious diseases, and we will continue to support research in this area. ”

The Agilent Cary 630 FTIR Spectrometer is a versatile and reliable instrument used by researchers in high-impact studies around the world. Its ultra-compact shape, simplicity and ease of use make it ideal for seamless deployment in many settings and scenarios. It is particularly well suited for use in infectious disease research and the study of biological samples. It can be combined with powerful multivariate statistical analysis to allow researchers to relate spectral information to qualitative macroscopic properties.

About Agilent Technologies

Agilent is a leader in the life sciences, diagnostics and applied chemistry markets, delivering innovative technological solutions that provide reliable answers to researchers’ most complex scientific questions. The company generated sales of $ 5.34 billion in fiscal 2020 and employs 16,400 people worldwide. Information about Agilent is available at To receive the latest Agilent news, please subscribe to the Agilent Newsroom. Follow Agilent on LinkedIn, Twitter and Facebook.

I Worldometers: Coronavirus Update (Live) Cases and Deaths of COVID-19 Virus Pandemic. 2021; https% 3A% 2F% 2Fcoronavirus.

ii WHO Western Pacific Region: Algorithm for COVID-19 triage and referral; https% 3A% 2F% 2Firis% 2Fbitstream% 2Fhandle% 2F10665% 2F331915% 2FCOVID-19-algorithm-referral-triage-eng.pdf% 3Fsequence% 3D1% 26amp% 3BisAllowed% 3Dy

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