An Optimistic Vision of Future: Diagnosis of Bacterial Infections by Sensing Their Associated Volatile Organic Compounds

Rațiu, Ileana-Andreea; Bocoş-Binţinţan, Victor; Monedeiro, Fernanda; Milanowski, Maciej; Ligor, Tomasz; Buszewski, Bogusław

doi:10.1080/10408347.2019.1663147

Cited by 32 publications

(35 citation statements)

References 90 publications

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“…While ELISA sensitivity is affected by the delayed and irregular antibodies response in bTB ( 68 ), PCR is considered a postmortem diagnostic option with promising findings but still under development, focused on the search of markers that ensure diagnostic sensitivity ( 61 ) ( Table 2 ). Therefore, the reliability of these tests depends on the stage of infection and, in addition, these require transporting of animal samples to the laboratory, which finally increases diagnostic time too ( 40 ), highlighting the interest on the availability of portable equipment.…”

Section: Routine Diagnostic Techniques Against Mtbc and M Avium Subsp Paratuberculosismentioning

confidence: 99%

“…Although the use of VOCs obtained from different biological samples to diagnose diseases is considered as a big hope with a promising future, now it remains at a developing stage ( 40 ). One of the main hurdles against the development of this new strategy is the lack of standardization between studies which often leads to non-comparable results ( 40 , 41 ). Few detailed in vivo studies are available on the analysis of VOCs as a diagnostic tool for mycobacterial infection in animals.…”

Section: Introductionmentioning

confidence: 99%

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Application of Volatilome Analysis to the Diagnosis of Mycobacteria Infection in Livestock

et al. 2021

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Volatile organic compounds (VOCs) are small molecular mass metabolites which compose the volatilome, whose analysis has been widely employed in different areas. This innovative approach has emerged in research as a diagnostic alternative to different diseases in human and veterinary medicine, which still present constraints regarding analytical and diagnostic sensitivity. Such is the case of the infection by mycobacteria responsible for tuberculosis and paratuberculosis in livestock. Although eradication and control programs have been partly managed with success in many countries worldwide, the often low sensitivity of the current diagnostic techniques against Mycobacterium bovis (as well as other mycobacteria from Mycobacterium tuberculosis complex) and Mycobacterium avium subsp. paratuberculosis together with other hurdles such as low mycobacteria loads in samples, a tedious process of microbiological culture, inhibition by many variables, or intermittent shedding of the mycobacteria highlight the importance of evaluating new techniques that open different options and complement the diagnostic paradigm. In this sense, volatilome analysis stands as a potential option because it fulfills part of the mycobacterial diagnosis requirements. The aim of the present review is to compile the information related to the diagnosis of tuberculosis and paratuberculosis in livestock through the analysis of VOCs by using different biological matrices. The analytical techniques used for the evaluation of VOCs are discussed focusing on the advantages and drawbacks offered compared with the routine diagnostic tools. In addition, the differences described in the literature among in vivo and in vitro assays, natural and experimental infections, and the use of specific VOCs (targeted analysis) and complete VOC pattern (non-targeted analysis) are highlighted. This review emphasizes how this methodology could be useful in the problematic diagnosis of tuberculosis and paratuberculosis in livestock and poses challenges to be addressed in future research.

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Section: Routine Diagnostic Techniques Against Mtbc and M Avium Subsp Paratuberculosismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Volatilome Analysis to the Diagnosis of Mycobacteria Infection in Livestock

et al. 2021

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“…Breath tests are minimally invasive procedures, which are more easily accepted by the patients. An exhaled breath sample consists of VOCs and the breath aerosol [ 12 ]. Breath consists of almost 3000 compounds which are present in different combinations and quantities.…”

Section: Introductionmentioning

confidence: 99%

Needle Trap Device-GC-MS for Characterization of Lung Diseases Based on Breath VOC Profiles

et al. 2021

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Volatile organic compounds (VOCs) have been assessed in breath samples as possible indicators of diseases. The present study aimed to quantify 29 VOCs (previously reported as potential biomarkers of lung diseases) in breath samples collected from controls and individuals with lung cancer, chronic obstructive pulmonary disease and asthma. Besides that, global VOC profiles were investigated. A needle trap device (NTD) was used as pre-concentration technique, associated to gas chromatography-mass spectrometry (GC-MS) analysis. Univariate and multivariate approaches were applied to assess VOC distributions according to the studied diseases. Limits of quantitation ranged from 0.003 to 6.21 ppbv and calculated relative standard deviations did not exceed 10%. At least 15 of the quantified targets presented themselves as discriminating features. A random forest (RF) method was performed in order to classify enrolled conditions according to VOCs’ latent patterns, considering VOCs responses in global profiles. The developed model was based on 12 discriminating features and provided overall balanced accuracy of 85.7%. Ultimately, multinomial logistic regression (MLR) analysis was conducted using the concentration of the nine most discriminative targets (2-propanol, 3-methylpentane, (E)-ocimene, limonene, m-cymene, benzonitrile, undecane, terpineol, phenol) as input and provided an average overall accuracy of 95.5% for multiclass prediction.

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“…Ion mobility spectrometry (IMS) is a rapid, highly performant, and unique analytical technique, which is widely used for separating and identifying chemicals as vapors present in air samples, at trace and ultra-trace levels, after these chemicals are ionized at atmospheric pressure [1,2]. The IMS technique has an exceptional sensitivity, since it measures ionic currents in the pico-amperes (10 −12 A) range [1][2][3][4]. The rapidity of ion separation in the gaseous phase and at atmospheric pressure is the principal advantage of ion mobility spectrometry (a single spectrum is being acquired in just several dozens of milliseconds), which combines perfectly with the outstanding sensitivity (in the low ppb v range for most chemicals).…”

Section: Introductionmentioning

confidence: 99%

Hunting for Toxic Industrial Chemicals: Real-Time Detection of Carbon Disulfide Traces by Means of Ion Mobility Spectrometry

Bocoş-Binţinţan

Rațiu

2020

Toxics

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Sensitive real-time detection of vapors produced by toxic industrial chemicals (TICs) represents a stringent priority nowadays. Carbon disulfide (CS2) is such a chemical, being widely used in manufacturing synthetic textile fibers and as a solvent. CS2 is simultaneously a very reactive, highly flammable, irritant, corrosive, and highly toxic compound, affecting the central nervous system, cardiovascular system, eyes, kidneys, liver, skin, and reproductive system. This study was directed towards quick detection and quantification of CS2 in air, using time-of-flight ion mobility spectrometry (IMS); photoionization detection (PID) was also used as confirmatory technique. Results obtained indicated that IMS can detect CS2 at trace levels in air. The ion mobility spectrometric response was in the negative ion mode and presented one product ion, at a reduced ion mobility (K0) of 2.25 cm2 V−1 s−1. Our study demonstrated that by using a portable, commercial IMS system (model Mini IMS, I.U.T. GmbH Berlin Germany) one can easily measure CS2 at concentrations of 0.1 ppmv (0.3 mg m−3) in the negative ion mode, which is below the lowest threshold value of 1 ppmv given for industrial hygiene. A limit of detection (LOD) of ca. 30 ppbv (0.1 mg m−3) was also estimated.

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An Optimistic Vision of Future: Diagnosis of Bacterial Infections by Sensing Their Associated Volatile Organic Compounds

Cited by 32 publications

References 90 publications

Application of Volatilome Analysis to the Diagnosis of Mycobacteria Infection in Livestock

Application of Volatilome Analysis to the Diagnosis of Mycobacteria Infection in Livestock

Needle Trap Device-GC-MS for Characterization of Lung Diseases Based on Breath VOC Profiles

Hunting for Toxic Industrial Chemicals: Real-Time Detection of Carbon Disulfide Traces by Means of Ion Mobility Spectrometry

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