Profiling of Exhaled Volatile Organics in the Screening Scenario of a COVID-19 Test Center

Remy, Rasmus; Kemnitz, Nele; Trefz, Phillip; Fuchs, Patricia; Bartels, Julia; Klemenz, Ann-Christin; Rührmund, Leo; Sukul, Pritam; Miekisch, Wolfram; Schubert, Jochen K.

doi:10.2139/ssrn.4055638

Cited by 3 publications

(5 citation statements)

References 35 publications

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“…Based on the above-discussed facts and experiences 33 , we hereby recommend the following setups for safe real-time and o ine breath VOCs measurements under highly infectious conditions. In both cases, investigator/operator should wear the recommended personal protective equipment (PPE) at all time.…”

Section: Resultsmentioning

confidence: 99%

“…Our methods provide repeatable conditions for point of care and lab-based breath sampling and analysis with low risk of disease transmission under COVID-19 and similar infectious pathogens. Besides breath VOC pro ling in spontaneously breathing subjects (healthy, asymptomatic positive and mildlysymptomatic patients) under the screening scenario of a COVID-19 test centre 33 , the above methods and protocols are applicable for monitoring moderately-symptomatic (with SARS onset) and/or severely ill mechanically-ventilated patients at the COVID-19 intensive care unit (ICU).…”

Section: Resultsmentioning

confidence: 99%

“…were disposed immediately after each measurement and the sampling area was disinfected and adequately ventilated before and after each participation. Our setup was successfully and safely applied for breath VOCs screening in > 700 individuals at the SARS-CoV-2 test centre of our university hospital during the surge of the delta variant 33 . Besides COVID-19 patients, we could safely pro le breath VOCs from patients infected and/or co-infected by other infectious respiratory pathogens e.g.…”

Section: Advancement Of Experimental Setup For Continuous Real-time B...mentioning

confidence: 99%

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Advanced setup for safe breath sampling and patient monitoring under highly infectious conditions in the clinical environment

Sukul

Trefz

Schubert

et al. 2022

Preprint

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Being the proximal matrix, breath offers immediate metabolic outlook of respiratory infections. However, high viral load in exhalations imposes higher transmission risk that needs improved methods for safe and repeatable analysis. Here, we have advanced the state-of-the-art methods for real-time and offline mass-spectrometry based analysis of exhaled volatile organics under SARS-CoV-2 and/or similar respiratory conditions. To reduce infection risk, the general experimental setups for direct and offline breath sampling are modified. Certain mainstream and side-stream viral filters are examined for direct and lab-based applications. Confounders/contributions from filters and optimum operational conditions are assessed. We observed immediate effects of infection safety mandates on breath biomarker profiles. Main-stream filters induced physiological and analytical effects. Side-stream filters caused only systematic analytical effects. Observed substance specific effects partly depended on compound’s origin and properties, sampling flow and respiratory rate. For offline samples, storage time, -conditions and -temperature were crucial. Our methods provided repeatable conditions for point-of-care and lab-based breath analysis with low risk of disease transmission. Besides breath VOC profiling in spontaneously breathing subjects at the screening scenario of COVID-19/similar test centres, our methods and protocols are applicable for moderately/severely ill (even mechanically-ventilated) and highly contagious patients at the intensive care.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Advancement Of Experimental Setup For Continuous Real-time B...mentioning

confidence: 99%

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Advanced setup for safe breath sampling and patient monitoring under highly infectious conditions in the clinical environment

Sukul

Trefz

Schubert

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

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“…All the suggested annotations for this feature correspond to ketones and aldehydes. These families have already been reported as potential markers of disease states in patients with COVID-19 [10,11,13,15], asthma, or chronic obstructive pulmonary disease [35][36][37][38] and after an inhaled endotoxin challenge in healthy volunteers [39]. Although these VOCs and disease states may be interrelated, the underlying biochemistry has not been fully characterized.…”

Section: Discussionmentioning

confidence: 99%

“…infections and inflammation) [6,7]. A number of studies have highlighted the value of breath VOC analysis for the diagnosis of COVID-19, using realtime [8][9][10] and offline [11][12][13] mass spectrometry (MS), ion mobility spectrometry [14,15], Fouriertransform infrared spectroscopy [16], surface-enhanced Raman scattering [17], other sensor technologies (electronic noses) [18][19][20], and detection dogs sniffing sweat samples [21][22][23][24]. Artificial intelligence and machine learning techniques have been frequently applied to the field of breath analysis in general and the diagnosis of COVID-19 in particular; support vector machines, principal component analysis, random forests, artificial neural networks, elastic nets and decision trees have been used to set up predictive models for diagnosis or disease classification [8,13,[18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Enhanced real-time mass spectrometry breath analysis for the diagnosis of COVID-19

et al. 2023

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BackgroundAlthough rapid screening for and diagnosis of coronavirus disease 2019 (COVID-19) are still urgently needed, most current testing methods are long, costly or poorly specific. The objective of the present study was to determine whether or not artificial-intelligence-enhanced real-time mass spectrometry breath analysis is a reliable, safe, rapid means of screening ambulatory patients for COVID-19.MethodsIn two prospective, open, interventional studies in a single university hospital, we used real-time, proton transfer reaction time-of-flight mass spectrometry to perform a metabolomic analysis of exhaled breath from adults requiring screening for COVID-19. Artificial intelligence and machine learning techniques were used to build mathematical models based on breath analysis data either alone or combined with patient metadata.ResultsWe obtained breath samples from 173 participants, of whom 67 had proven COVID-19. After using machine learning algorithms to process breath analysis data and further enhancing the model using patient metadata, our method was able to differentiate between COVID-19-positive and -negative participants with a sensitivity of 98%, a specificity of 74%, a negative predictive value of 98%, a positive predictive value of 72% and an area under the receiver operating characteristic curve of 0.961. The predictive performance was similar for asymptomatic, weakly symptomatic and symptomatic participants and was not biased by COVID-19 vaccination status.ConclusionsReal-time, noninvasive, artificial-intelligence-enhanced mass spectrometry breath analysis might be a reliable, safe, rapid, cost-effective, high-throughput method for COVID-19 screening.

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Physio-Metabolic Monitoring via Breath Employing Real-Time Mass Spectrometry: Importance, Challenges, Potentials, and Pitfalls

Sukul¹,

Trefz²

2022

Bioanalytical Reviews

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Profiling of Exhaled Volatile Organics in the Screening Scenario of a COVID-19 Test Center

Cited by 3 publications

References 35 publications

Advanced setup for safe breath sampling and patient monitoring under highly infectious conditions in the clinical environment

Advanced setup for safe breath sampling and patient monitoring under highly infectious conditions in the clinical environment

Enhanced real-time mass spectrometry breath analysis for the diagnosis of COVID-19

Physio-Metabolic Monitoring via Breath Employing Real-Time Mass Spectrometry: Importance, Challenges, Potentials, and Pitfalls

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