Screening of patients with bronchopulmonary diseases using methods of infrared laser photoacoustic spectroscopy and principal component analysis

Kistenev, Yury V.; Karapuzikov, A. I.; Kostyukova, Nadezhda Y.; Старикова, М. К.; Boyko, Аndrey А.; Bukreeva, Ekaterina; Bulanova, Anna A.; Kolker, D. B.; Kuzmin, Dmitry A.; Zenov, K. G.; Karapuzikov, Alexey A.

doi:10.1117/1.jbo.20.6.065001

Cited by 24 publications

(7 citation statements)

References 13 publications

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“…This even makes the "narrow peak" approach promising for line spectrum studies, where PC analysis shows good results, for example for infrared absorption lines of gaseous complex molecules. 15 Even in the nonlinear cases, such as reabsorption, the suggested analysis procedure allows the spectra of fluorophores to be estimated (case V). Comparing the spectra of reconstructed peaks with typical reabsorption curves, one could select which case, IV or V, takes place.…”

Section: Numerical Simulation Discussionmentioning

confidence: 99%

Decomposition of multi‐component fluorescence spectra by narrow peak method based on principal component analysis

Tsibulskaya

Maslov

2021

Journal of Chemometrics

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The main objective of multi-fluorophoric sample spectroscopy is to find the relative concentrations of individual components. If the spectra of fluorophores have broad complex shapes and significantly overlap, direct analysis is not possible.For various reasons, regression to model spectra attributed to known substances might not be easy either. Here, we describe a method of estimating the spectra of pure fluorophores in complex samples of unknown nature. This method is based on principal component analysis. Principal components themselves cannot be determined uniquely, so the method includes subsequent finding of suitable linear combinations of those principal components. Two physically reasonable assumptions were used to estimate individual fluorophore spectra: their intensities should always be non-negative and with the smallest possible spectral widths. The method's features were tested by numerical simulations using the random generated spectra of three component mixtures, experiments with optical phantom, and analysis of previously collected spectra from real tissue samples. The accuracy of the method depends on the spectral features of the samples. If spectra intersect pairwise, components could be obtained precisely. In other cases reconstructed spectra closely match the original ones, allowing them to be attributed to possible sample components. This approach makes this method convenient for various applied diagnostic tasks. It provides not only quantitative data for sample comparison, as straight principal component analysis does, but also makes data representation more demonstrative, allowing for the creation of qualitative conclusions. The method provides a unique solution dependent only on the shapes of the fluorophores' spectra. K E Y W O R D S fluorophores, laser-induced fluorescence, modeling, principal component analysis 1 | INTRODUCTION Fluorescence spectroscopy is a widely used technique in chemical and biological analysis. When dealing with multicomponent samples, its application faces certain complications. In condensed matter, collisional broadening and electrostatic interactions with surrounding molecules take place. Thus, fluorophores emit relatively broad continuous

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Section: Numerical Simulation Discussionmentioning

confidence: 99%

Decomposition of multi‐component fluorescence spectra by narrow peak method based on principal component analysis

Tsibulskaya

Maslov

2021

Journal of Chemometrics

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“…Moreover, Kistenev et al used laser photoacoustic spectroscopy to measure the concentration VOCs in the exhaled breath. 51 They considered seven patients with chronic obstructive pulmonary disease (COPD) and 11 healthy nonsmokers (control group). This technique obtained the most informative range of the patient's exhaled air absorption spectra.…”

Section: ■ Conventional Noninvasive Techniques For Detecting Gas-phas...mentioning

confidence: 99%

Recent Advances in Gas Detection Methodologies with a Special Focus on Environmental Sensing and Health Monitoring Applications─A Critical Review

et al. 2023

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With the expansion of the Internet-of-Things (IoT), the use of gas sensors in the field of wearable technology, smart devices, and smart homes has increased manifold. These gas sensors have two key applications�one is the detection of gases present in the environment and the other is the detection of Volatile Organic Compounds (VOCs) that are found in the breath. In this review, we focus systematically on the advancements in the field of various spectroscopic methods such as mass spectrometry-based analysis and point-of-care approach to detect VOCs and gases for environmental monitoring and disease diagnosis. Additionally, we highlight the development of smart sensors that work on the principle of electrochemical detection and provide examples of the same through an extensive literature review. At the end of this review, we highlight various challenges and future perspectives.

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“…Moreover, nitrogen-containing compounds are at elevated levels in human breath for liver impairment or uremia. Nitric oxide has been identified as a biomarker of airway inflammation such as in asthma, allergic rhinitis, eosinophilic bronchitis, and chronic obstructive pulmonary disease (COPD) [21][22][23][24]. Carbon monoxide is indicative of an increase in oxidative stress or stimulation by pro-inflammatory cytokines, such as during smoking cessation [25,26].…”

Section: Introductionmentioning

confidence: 99%

Advances in Mid-Infrared Spectroscopy-Based Sensing Techniques for Exhaled Breath Diagnostics

et al. 2020

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Human exhaled breath consists of more than 3000 volatile organic compounds, many of which are relevant biomarkers for various diseases. Although gas chromatography has been the gold standard for volatile organic compound (VOC) detection in exhaled breath, recent developments in mid-infrared (MIR) laser spectroscopy have led to the promise of compact point-of-care (POC) optical instruments enabling even single breath diagnostics. In this review, we discuss the evolution of MIR sensing technologies with a special focus on photoacoustic spectroscopy, and its application in exhaled breath biomarker detection. While mid-infrared point-of-care instrumentation promises high sensitivity and inherent molecular selectivity, the lack of standardization of the various techniques has to be overcome for translating these techniques into more widespread real-time clinical use.

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Screening of patients with bronchopulmonary diseases using methods of infrared laser photoacoustic spectroscopy and principal component analysis

Cited by 24 publications

References 13 publications

Decomposition of multi‐component fluorescence spectra by narrow peak method based on principal component analysis

Decomposition of multi‐component fluorescence spectra by narrow peak method based on principal component analysis

Recent Advances in Gas Detection Methodologies with a Special Focus on Environmental Sensing and Health Monitoring Applications─A Critical Review

Advances in Mid-Infrared Spectroscopy-Based Sensing Techniques for Exhaled Breath Diagnostics

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