The New Approach to a Pattern Recognition of Volatile Compounds: The Inflammation Markers in Nasal Mucus Swabs from Calves Using the Gas Sensor Array

Кучменко, Т. А.; Шуба, А. А.; Умарханов, Р. У.; Lvova, Larisa

doi:10.3390/chemosensors9060116

Cited by 8 publications

(9 citation statements)

References 38 publications

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“…The number of volatile substances identified in the headspace over biological samples based on the parameters of an array of sensors can serve as an indirect indicator for assessing the characteristics of metabolism in the body, and it is associated with the degree of deviation of the characteristics from the norm. At the same time, reliable identification is associated with the concentrations of substances in the headspace above the detection limits of the sensor array, which were determined earlier [ 39 ].…”

Section: Resultsmentioning

confidence: 94%

On a Correlation between the Results of In-Hospital Analysis of Biosamples from Children Performed Using Standard Methods and an Array of Piezosensors

et al. 2022

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A rapid procedure for obtaining information on changes in particular characteristics of urine as the most frequently taken biosample is presented. The relationship between the output data of an array of piezoelectric sensors based on different micro- and nanostructured phases and the standard characteristics of clinical urine analysis is discussed. Volatile organic compounds identified in an equilibrium headspace gas phase of the samples with deviations from normal characteristics of clinical urine analysis are considered. The tetrachoric correlation coefficients and associations between the parameters of a sensor array and standard characteristics were calculated. A minimum set of calculated parameters of an electronic nose for the rapid in-hospital monitoring of changes in the patient’s condition in the course of therapy or medical examination was recognized. A fast and economically affordable method was developed for the monitoring of body state characteristics using the profile of volatile urine compounds obtained with an electronic nose based on piezosensors. Two versions, a color scale and a table, were proposed for presenting the electronic nose data; they can be used even by specially untrained personnel for the rapid and easy assessment of the most important urine analysis data (protein, glucose, mucus, and bacteria). The method developed makes it possible to quickly (the time of a measurement is 120 s) perform the daily monitoring of patient’s condition to avoid an unnecessary burden on the laboratory and to increase the physician’s awareness of the dynamics of the patient’s condition and facilitate the choice of treatment tactics. This method can be used for clinical examinations in polyclinics and feldsher’s stations, and it will significantly shorten the time taken to obtain screening and diagnostic information on disruptions in the body, in particular, at the initial stages of diseases.

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Section: Resultsmentioning

confidence: 94%

On a Correlation between the Results of In-Hospital Analysis of Biosamples from Children Performed Using Standard Methods and an Array of Piezosensors

et al. 2022

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“…This study describes sensor manufacturing [15]. Moreover, the work [16] presents the sorption characteristics of the sensor array from the 'living system' set. The basic lines of the sensors were observed to remain stable (±1 Hz) during an 80 s blank measurement before the sample analysis.…”

Section: Methods and Analysismentioning

confidence: 99%

Drift Compensation of the Electronic Nose in the Development of Instruments for Out-of-Laboratory Analysis

Шуба

Кучменко

Menzhulina³

2022

The 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry

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A technique was developed to evaluate and compensate for the drift of eight mass-sensitive sensors in an open detection cell in order to estimate the influence of external factors (temperature, changes in the chemical composition of the background) on the out-of-laboratory analysis of biosamples. The daily internal standardization of the system is an effective way to compensate for the sensor signal drift when the sorption properties of sensitive coatings change during their long-term, intensive operation. In this study, distilled water was proposed as a standard for water matrix-based biosamples (blood, exhaled breath condensate, urine, etc.). Further, internal standardization was based on daily calculation of the specific sensor signals by dividing the sensor signals for the biosample according to the corresponding averaged values obtained from three to five standard measurements. The stability of the sensor array operation was estimated using the theory of statistical process control (exponentially weighted moving average control charts) based on the specific signal of the sensor array. The control limits for the statistical quantity of the central tendency for each sensor and the whole array, as well as the variations of the sensor signals, were determined. The average times required for signal and run lengths, for the purpose of statistically substantiated monitoring of the electronic nose’s stability, were calculated. Based on an analysis of the tendency and variations in sensor signals during 3 months of operation, a technique was formulated to control the stability of the sensor array for the out-of-laboratory analysis of the biosamples. This approach was successfully verified by classifying the results of the analysis of the blood and water samples obtained for this period. The proposed technique can be introduced into the software algorithm of the electronic nose, which will improve decision-making during the long-term monitoring of health conditions in humans and animals.

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“…[ 33–35 ] For instance, Kuchmenko et al fabricated a sensor array that could diagnose lung diseases in calves such as bronchitis and bronchopneumonia with the help of a nasal swab. [ 36 ] Herein, the sensor was designed to detect gaseous compounds present in the nasal swab samples (cyclohexane and butanone‐2,4‐methly‐2‐pentanone), and the results were cross‐verified with the animal subjects. The developed prototype could identify inflammation in the calf's body and had a fast response time, while no sample pretreatment was needed.…”

Section: Evolution Of Chemiresistive Sensor Arraysmentioning

confidence: 99%

mentioning

confidence: 99%

Chemiresistive Sensor Arrays for Gas/Volatile Organic Compounds Monitoring: A Review

et al. 2022

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Gas detection and monitoring are essential due to their direct impact on human health, environment, and ecosystem. Chemiresistive sensors are one of the most used classes of sensors for monitoring and measurement of gases thanks to their ease of fabrication, customizability, mechanical flexibility, and fast response time. While chemiresistive sensors can offer good sensitivity and selectivity to a particular gas in a controlled environment with known interferences, they may not be able to differentiate between various gases having similar physiochemical properties under uncontrolled conditions. To address this shortcoming of chemiresistive gas sensors, sensor arrays have been the subject of recent studies. Gas sensor arrays are a group of individual gas sensors that are arranged to simultaneously detect and differentiate multiple cross‐reactive gases. In this regard, various sensor array technologies have been developed to differentiate a given set of gases using multivariate algorithms. This review provides an insight into the different algorithms that are used to extract the data from the sensor arrays, highlighting the fabrication techniques used for developing the sensor array prototypes, and different applications in which these arrays are used.

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The New Approach to a Pattern Recognition of Volatile Compounds: The Inflammation Markers in Nasal Mucus Swabs from Calves Using the Gas Sensor Array

Cited by 8 publications

References 38 publications

On a Correlation between the Results of In-Hospital Analysis of Biosamples from Children Performed Using Standard Methods and an Array of Piezosensors

On a Correlation between the Results of In-Hospital Analysis of Biosamples from Children Performed Using Standard Methods and an Array of Piezosensors

Drift Compensation of the Electronic Nose in the Development of Instruments for Out-of-Laboratory Analysis

Chemiresistive Sensor Arrays for Gas/Volatile Organic Compounds Monitoring: A Review

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