Microstructural investigations of sorption layers in mass-sensitive sensors for the detection of nitrogen-containing compounds

Кучменко, Т. А.; Умарханов, Р. У.; Grazhulene, S. S.; Zaglyadova, S. V.; Shkinev, V. M.

doi:10.1134/s1027451014020372

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…The sensors were chosen with increased sensitivity to various classes of volatile organic compounds (alcohols, aldehydes, ketones, amines, etc.) [7,8]: sensor 1 -polyvinylpyrrolidone (PVP); sensor 2 -bee glue (propolis) (PC); sensor 3 -dicyclohexane-18-Crown-6 (DCH18K6); sensor 4 -bromcresol green (BCG); sensor 5 -polyethylene glycol succinate (PEGSc); sensor 6polyethylene glycol PEG-2000 (PEG-2000); sensor 7 -twin-40 (Twеen); sensor 8 -trioctylphosphine oxide (TOPO).…”

Section: Methodsmentioning

confidence: 99%

“…In order to establish the general composition of the odor of the samples, we used the complete "visual prints" of the maxima (the highest responses of 8 sensors). "Visual prints" of the maxima are built on the basis of the maximum responses of the sensors in the RGF of the samples during the measurement time (60 s), which allowed establishing significant similarities and differences in the composition of the volatile odor fraction over the analyzed samples [8,9]. The areas of the figures were calculated automatically in the software of the device.…”

Section: Methodsmentioning

confidence: 99%

“…-the identification parameters Aij, calculated from the sensor signals in the analyzed samples were used for the recognition of individual classes of compounds in a mixture [8].…”

Section: Methodsmentioning

confidence: 99%

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Difference in the composition of the volatile odor fraction of tilapia meat samples grown under aquaculture conditions in Russia and China

Соколов

Dvoryaninova²,

Solovyova³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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China is one of the leading suppliers of fish and seafood to Russia. A strong example is tilapia fish. This relatively inexpensive fish, due to the small amount of its cultivation in the Russian Federation, is completely imported from China. However, at present, the lack of an adequate level of control over the movement of raw materials through production chains and their processing at Chinese enterprises, the import of tilapia is temporarily stopped. In this regard, a comparative assessment of the quality of tilapia grown under aquaculture conditions in Russia and China at all stages of industrial processing is relevant. In order to assess the quality of fish raw materials, a multisensory system “electronic nose” was used, which is based on a multilevel neural semiotic model that describes the mechanism of the human olfactory bulb. The use of chemical sensors allowed recording early signs of changes in the organoleptic parameters of tilapia meat. The studies showed that the meat of tilapia grown in Russia is subject to less destruction during storage at a temperature of 4 ° C than meat of tilapia grown under the agricultural conditions in China.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Difference in the composition of the volatile odor fraction of tilapia meat samples grown under aquaculture conditions in Russia and China

Соколов

Dvoryaninova²,

Solovyova³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…The sensor array included a set of 8-piezoelectric BAWtype quartz crystal microbalance resonators, with a 10.0 MHz basic oscillation frequency. In order to vary the sensitivity of the sensors, the silver electrodes of 5 mm diameter used to hold a quartz crystal were covered with various solid-state nanostructured sorbents («Living system», «LS©», Russia) [30,31]. In particular, sensors 1, 8 were modified with carboxylate carbon nanotube phases of different masses, marked in the tables and in the text as MCNT1 and MCNT2; sensors 2, 7 were covered with phases of zirconium nitrate of different masses (Zr1 and Zr2); sensor 3 had a dicyclohexane-18-crown-6 (DCH18Cr6) sorbent film; sensors 4, 5 were modified with bio hydroxyapatite phases of different masses (HA1, HA2), and, finally, sensor 6 was covered with polyethylene glycol succinate (PEGsc).…”

Section: Device and Sensor Array Characteristicsmentioning

confidence: 99%

“…More specifically, we conducted laboratory experiments over a two-year period in an effort to elaborate an express method for the detection of respiratory diseases in calves. Samples of exhaled breath condensate and nasal swabs from calves were studied as the research objects [30][31][32][33]. The method of projection of the principal components was applied to the sensor array output data in order to determine the presence of specific substances in the gaseous phase of the nasal mucus swab samples.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2021

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This paper discusses the application of two approaches (direct and inverse) to the identification of volatile substances by means of a gas sensor array in a headspace over nasal mucus swab samples taken from calves with differing degrees of respiratory damage. We propose a unique method to visualize sensor array data for quality analysis, based on the spectra of cross mass sensitivity parameters. The traditional method, which requires an initial sensor array trained on the vapors of the individual substances (database accumulation)—with their further identification in the analyzed bio-samples through the comparison of the analysis results to the database—has shown unsatisfactory performance. The proposed inverse approach is more informative for the pattern recognition of volatile substances in the headspace of mucus samples. The projection of the calculated parameters of the sensor array for individual substances in the principal component space, acquired while processing the sensor array output from nasal swab samples, has allowed us to divide animals into groups according to the clinical diagnosis of their lung condition (healthy respiratory system, bronchitis, or bronchopneumonia). The substances detected in the gas phase of the nasal swab samples (cyclohexanone, butanone-2,4-methyl-2-pentanone) were correlated with the clinical state of the animals, and were consistent with the reference data on disease markers in exhaled air established for destructive organism processes.

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Electronic taster applied for identification of a rainbow trout spoilage specifics

Кучменко

Умарханов

Mateyeva

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

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The research is aimed at the study of control possibilities of freshness degree and storage technology violation of frozen fish (Rainbow trout) using chemical piezo sensors array in the «e-nose» system. There have been demonstrated the opportunities of qualitative and quantitative determination of priority highly volatile compounds-markers of native and modified state of fish and gills after a 2-minute measuring by sensors array with minimal sample preparation and without additional preparation or odour components concentration. We can fixate early signs of changes in the fish fillet of a trout after three days of storage mode non-compliance and subsequent freezing, using chemical sensors. We can evaluate the storage time of fresh fish in any conditions with an error of measurement of no more than 10 %. We have developed the method of fish odour simple analysis and of obtaining diagnostic information about fish freshness according to fillet and gills state. The application mode of chemical sensors and e-nose «MAG-8» allows acquiring objective information, and is highly sensitive, expressive and economically acceptable for laboratories and mobile monitoring stations of any level.

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Microstructural investigations of sorption layers in mass-sensitive sensors for the detection of nitrogen-containing compounds

Cited by 7 publications

References 9 publications

Difference in the composition of the volatile odor fraction of tilapia meat samples grown under aquaculture conditions in Russia and China

Difference in the composition of the volatile odor fraction of tilapia meat samples grown under aquaculture conditions in Russia and China

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

Electronic taster applied for identification of a rainbow trout spoilage specifics

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