Determination of C1-C3 carboxylic acids in air using a sensor

Korenman, Ya. I.; Popova, N. N.; Кучменко, Т. А.

doi:10.1134/s1061934808010164

Cited by 6 publications

(6 citation statements)

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“…This means that signals of sensors with bromocresol blue (sensor 5) and methyl orange (sensor 3) are also significant for discriminating “healthy” and “sick” groups. In previous studies [ 52 , 53 , 54 , 55 ], we found that these coatings exhibit the most remarkable mass sensitivity to cyclic amines, aromatic amines, and carboxylic acids, respectively. Hence, when classifying samples into the “healthy” and “sick” groups, the appearance or change in the concentrations of ketones, alcohols, aldehydes, organic carboxylic acids, and amines, including cyclic amines or those with a branched hydrocarbon chain, in the gas phases over nasal swabs could be significant.…”

Section: Discussionmentioning

confidence: 73%

“…The loading plot ( Figure 8 ) shows that the initial signals made the most considerable contribution to the model of the sensors ΔF max,i , and the signals from the first set of sensors were more significant than from the second set. Therefore, taking into account the loadings for the seven principal components of the PCA–LDA model (shown in Table 6 , Figure 8 ), the most significant for classification were the signals of sensors with modifiers of carboxylated carbon nanotubes, zirconium nitrate, hydroxyapatite, methyl orange, bromocresol green, Triton X-100, and polyethylene glycol and its ethers, which are highly sensitive to vapors of nitrogen- and oxygen-containing compounds according to our previous investigation of sorption features of VOCs on these sorbents [ 37 , 51 , 52 , 53 , 54 , 55 , 56 , 57 ].…”

Section: Discussionmentioning

confidence: 99%

“…These sorbents were chosen among 50 phases due to them having hypersensitivity to various classes of highly volatile organic compounds (alcohols, aldehydes, acids, ketones, amines, and arenes) [ 36 , 37 , 51 , 52 , 53 , 54 , 55 , 56 , 57 ], including volatile biomarkers of respiratory pathologies.…”

Section: Methodsmentioning

confidence: 99%

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Portable Electronic Nose for Analyzing the Smell of Nasal Secretions in Calves: Toward Noninvasive Diagnosis of Infectious Bronchopneumonia

Кучменко

Шуба

Умарханов

et al. 2021

Veterinary Sciences

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The paper demonstrates a new approach to identify healthy calves (“healthy”) and naturally occurring infectious bronchopneumonia (“sick”) calves by analysis of the gaseous phase over nasal secretions using 16 piezoelectric sensors in two portable devices. Samples of nasal secretions were obtained from 50 red-motley Holstein calves aged 14–42 days. Calves were subjected to rectal temperature measurements, clinical score according to the Wisconsin respiratory scoring chart, thoracic auscultation, and radiography (Carestream DR, New York, USA). Of the 50 calves, we included samples from 40 (20 “healthy” and 20 “sick”) in the training sample. The remaining ten calves (five “healthy” and five “sick”) were included in the test sample. It was possible to divide calves into “healthy” and “sick” groups according to the output data of the sensor arrays (maximum sensor signals and calculated parameters Ai/j) using the principal component linear discriminant analysis (PCA–LDA) with an accuracy of 100%. The adequacy of the PCA–LDA model was verified on a test sample. It was found that data of sensors with films of carbon nanotubes, zirconium nitrate, hydroxyapatite, methyl orange, bromocresol green, and Triton X-100 had the most significance for dividing samples into groups. The differences in the composition of the gaseous phase over the samples of nasal secretions for such a classification could be explained by the appearance or change in the concentrations of ketones, alcohols, organic carboxylic acids, aldehydes, amines, including cyclic amines or those with a branched hydrocarbon chain.

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Section: Discussionmentioning

confidence: 73%

Section: Discussionmentioning

confidence: 99%

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Portable Electronic Nose for Analyzing the Smell of Nasal Secretions in Calves: Toward Noninvasive Diagnosis of Infectious Bronchopneumonia

Кучменко

Шуба

Умарханов

et al. 2021

Veterinary Sciences

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“…The choice of sensors for an array is influenced by their high sensitivity to various classes of volatile substances, including volatile biomarkers of diseases in the urine [ 14 , 15 , 16 ]. Films of 18C6, Tween were chosen for the detection of carboxylic and hydroxy acids [ 47 , 48 ], and MCNT, BCB, MR for ammonia and amines [ 49 , 50 , 51 ]. PEGSb was selected for detection of acids, alcohols, ketones [ 52 , 53 ], and TX-100 for nitrogen- and sulfur-containing compounds [ 54 , 55 ].…”

Section: Methodsmentioning

confidence: 99%

Noninvasive Detection of Bacterial Infection in Children Using Piezoelectric E-Nose

Кучменко

Menzhulina

Шуба

2022

Sensors

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Currently, antibiotics are often prescribed to children without reason due to the inability to quickly establish the presence of a bacterial etiology of the disease. One way to obtain additional diagnostic information quickly is to study the volatile metabolome of biosamples using arrays of sensors. The goal of this work was to assess the possibility of using an array of chemical sensors with various sensitive coatings to determine the presence of a bacterial infection in children by analyzing the equilibrium gas phase (EGP) of urine samples. The EGP of 90 urine samples from children with and without a bacterial infection (urinary tract infection, soft tissue infection) was studied on the “MAG-8” device with seven piezoelectric sensors in a hospital. General urine analysis with sediment microscopy was performed using a Uriscan Pro analyzer and using an Olympus CX31 microscope. After surgical removal of the source of inflammation, the microbiological studies of the biomaterial were performed to determine the presence and type of the pathogen. The most informative output data of an array of sensors have been established for diagnosing bacterial pathology. Regression models were built to predict the presence of a bacterial infection in children with an error of no more than 15%. An indicator of infection is proposed to predict the presence of a bacterial infection in children with a high sensitivity of 96%.

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“…The sensors were chosen to make an array based on their high sensitivity to various classes of volatile substances, including the biomarkers of diseases in urine [ 7 – 12 ]: DCH18C6 and Tween-40 films were chosen for the detection of carboxylic and hydroxy acids [ 24 , 25 ]; MWCNTs, BCB, and MR were used for ammonia and structurally different amines [ 26 – 28 ]; PEGSb was used for ketones and organic acids [ 24 , 29 , 30 ]; and TX-100 was used for nitrogen- and sulfur-containing compounds [ 30 , 31 ]. Moreover, the selected films were stable for at least a year in the analysis of small amounts of volatile substances [ 22 ] contained in biosamples.…”

Section: Methodsmentioning

confidence: 99%

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

Self Cite

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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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Determination of C1-C3 carboxylic acids in air using a sensor

Cited by 6 publications

References 1 publication

Portable Electronic Nose for Analyzing the Smell of Nasal Secretions in Calves: Toward Noninvasive Diagnosis of Infectious Bronchopneumonia

Portable Electronic Nose for Analyzing the Smell of Nasal Secretions in Calves: Toward Noninvasive Diagnosis of Infectious Bronchopneumonia

Noninvasive Detection of Bacterial Infection in Children Using Piezoelectric E-Nose

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

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