Methods of highly sensitive gas analysis of molecular biomarkers in study of exhaled air

Stepanov, E. V.

doi:10.3103/s1541308x0703003x

Cited by 15 publications

(7 citation statements)

References 170 publications

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“…This molecule is of interest as possible tracer for liver or renal diseases. 1 To our knowledge, there is only one previous example of fast ͑sub-second resolution͒ breath analysis by absorption spectroscopy, and it also concerned CO using a CRDS-based instrument with a sideband CO laser source in the midinfrared range ͑close to 5 m͒. 19 …”

Section: Introductionmentioning

confidence: 99%

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Multispecies breath analysis faster than a single respiratory cycle by optical-feedback cavity-enhanced absorption spectroscopy

Ventrillard-Courtillot

Gonthiez

Clérici

et al. 2009

J. Biomed. Opt.

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We demonstrate a first application, of optical-feedback cavity-enhanced absorption spectroscopy (OF-CEAS) to breath analysis in a medical environment. Noninvasive monitoring of trace species in exhaled air was performed simultaneous to spirometric measurements on patients at Bichat Hospital (Paris). The high selectivity of the OF-CEAS spectrometer and a time response of 0.3 s (limited by sample flow rate) allowed following the evolution of carbon monoxide and methane concentrations during individual respiratory cycles, and resolving variations among different ventilatory patterns. The minimum detectable absorption on this time scale is about 3 x 10(-10) cm(-1). At the working wavelength of the instrument (2.326 microm), this translates to concentration detection limits of approximately 1 ppbv (45 picomolar, or approximately 1.25 microg/m(3)) for CO and 25 ppbv for CH(4), well below concentration values found in exhaled air. This same instrument is also able to provide measurement of NH(3) concentrations with a detection limit of approximately 10 ppbv; however, at present, memory effects do not allow its measurement on fast time scales.

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Section: Introductionmentioning

confidence: 99%

“…1 Breath analysis techniques available today may be fast and easy in application and, by their noninvasive character, bear no health hazards to patients. However, very few techniques offer real-time results, while most require sample collection and offline laboratory analysis ͑e.g., by gas chromatography or mass spectrometry͒.…”

Section: Introductionmentioning

confidence: 99%

Multispecies breath analysis faster than a single respiratory cycle by optical-feedback cavity-enhanced absorption spectroscopy

Ventrillard-Courtillot

Gonthiez

Clérici

et al. 2009

J. Biomed. Opt.

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“…It has always been an object of interest to doctors, since the diagnosis of illnesses by smell goes back to the time of Hippocrates. It has been established that human exhalation is a multicomponent gaseous mixture that contains up to 600 different components, 1 which are the products of the physiological and biochemical processes that occur in the organism. 2 A number of serious illnesses can be diagnosed by measuring the concentration of marker substances in the exhaled air.…”

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confidence: 99%

Using the methods and facilities of nonsteady-state spectroscopy of the subterahertz and terahertz frequency ranges for noninvasive medical diagnosis

et al. 2012

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“…Laser photoacoustic spectroscopy (LPAS) is one of the effective methods of exhaled air analysis [11]. In this report, we discuss the approaches of differential diagnostics of LC patients on a base of spectral analysis of exhaled air samples using IR LPAS and the methods of data mining.…”

Section: Introductionmentioning

confidence: 99%

Development of Classification Rules for a Screening Diagnostics of Lung Cancer Patients Based on the Spectral Analysis of Metabolic Profiles in the Exhaled Air

Borisov

Kistenev

Kuzmin

et al. 2017

Proceedings of the Scientific-Practical Conference "Research and Development - 2016"

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The pattern recognition technique was used for the development of classification rules for a screening diagnostics of lung cancer (LC) patients, based on the spectral analysis of metabolic profiles in the exhaled air, measured by the IR laser photoacoustic spectroscopy (LPAS). The study involved LC, chronic obstructive pulmonary disease, pneumonia patients, and healthy volunteers. The analysis of the measured spectra of exhaled air samples was based first on reduction of the dimension of the feature space using principal component analysis (PCA); thereafter the dichotomous classification was carried out using the support vector machine (SVM). The approaches to differential diagnostics based on the set of SVM classifiers usage are presented.

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Methods of highly sensitive gas analysis of molecular biomarkers in study of exhaled air

Cited by 15 publications

References 170 publications

Multispecies breath analysis faster than a single respiratory cycle by optical-feedback cavity-enhanced absorption spectroscopy

Multispecies breath analysis faster than a single respiratory cycle by optical-feedback cavity-enhanced absorption spectroscopy

Using the methods and facilities of nonsteady-state spectroscopy of the subterahertz and terahertz frequency ranges for noninvasive medical diagnosis

Development of Classification Rules for a Screening Diagnostics of Lung Cancer Patients Based on the Spectral Analysis of Metabolic Profiles in the Exhaled Air

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