The Experts below are selected from a list of 3030 Experts worldwide ranked by ideXlab platform
Andrey Legin - One of the best experts on this subject based on the ideXlab platform.
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potentiometric Multisensor System as a possible simple tool for non invasive prostate cancer diagnostics through urine analysis
Sensors and Actuators B-chemical, 2019Co-Authors: Svetlana Solovieva, Mikhail Karnaukh, Vitaly Panchuk, Evgeny Andreev, E A Bessonova, Igor Jahatspanian, Andrey Legin, L. A. Kartsova, Ping Wang, Dmitry KirsanovAbstract:Abstract We report a simple potentiometric Multisensor System for distinguishing the urine samples from the patients with diagnosed prostate cancer and from healthy control group. The sensors of the System are sensitive towards variety of cationic and anionic species in urine, as well as to the presence of RedOx pairs. The response of the System represents a complex chemical fingerprint of urine sample that can be related with patient status through multivariate modelling. 89 urine samples were studied (43 from cancer patients confirmed by prostatic puncture biopsy and 46 from healthy control group) and variety of multivariate classification techniques was applied to the potentiometric data. The best results were obtained with logistic regression model yielding 100% sensitivity and 93% specificity in the independent test set of samples.
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Multivariate Calibration Transfer between two Potentiometric Multisensor Systems
Electroanalysis, 2017Co-Authors: Maria Khaydukova, Vitaly Panchuk, Dmitry Kirsanov, Andrey LeginAbstract:A multivariate calibration of Multisensor Systems is a very important stage in their application. Construction of reliable calibration model requires significant investment of time and money. Once established, calibration model can be applied normally only together with that particular Multisensor System, which was employed for its’ construction – this can be a serious limitation for a wide adoption of Multisensor Systems in common laboratory practice. In order to address this issue we have studied the applicability of several calibration transfer techniques, such as direct standardization, single wavelength standardization and standardization with regularization coefficient for the data obtained from two potentiometric Multisensor Systems in analysis of complex lanthanide mixtures. It was found that mathematical correction of sensor array response using standardization with regularization coefficient allows for using the regression model derived for one sensor array together with the data obtained from another sensor array. The value of root mean squared error of prediction for total lanthanide concentration increased insignificantly (0.10 instead of 0.07 in log scale) compared with that provided by the first Multisensor System.
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Bio-assisted potentiometric Multisensor System for purity evaluation of recombinant protein A.
Talanta, 2016Co-Authors: Edita Voitechovič, Igor Jahatspanian, Dmitry Kirsanov, Anton Korepanov, Andrey LeginAbstract:Recombinant proteins became essential components of drug manufacturing. Quality control of such proteins is routine task, which usually requires a lot of time, expensive reagents, specialized equipment and highly educated personnel. In this study we propose a new concept for protein purity evaluation that is based on application of bio-assisted potentiometric Multisensor System. The model object for analysis was recombinant protein A from Staphylococcus aureus (SpA), which is commonly used for monoclonal antibody purification. SpA solutions with different amount of host cell related impurities (Escherichia coli, bacterial lysate) were analyzed. Two different bio-transducers were employed: proteinase K from Tritirachium album and baker's yeast Saccharomyces cerevisiae. It was shown that both bio-transducers are able to induce changes in pure and lysate-contaminated SpA samples. Different products of yeast digestion and proteolysis with proteinase of pure SpA and lysate were detected with size exclusion high-performance liquid chromatography (SE-HPLC). The induced changes of chemical composition are detectible with potentiometric Multisensor System and can be related to SpA purity through projection on latent structures (PLS) regression technique. The proposed method allows for estimation of the impurity content with 12% accuracy using proteinase K and 16% accuracy using baker's yeast. The suggested approach could be useful for early contamination warning at initial protein purification steps. The analysis requires no expensive materials and equipment, no bio-material immobilization, and its duration time is comparable with other commonly used methods like chromatography or electrophoresis though the main part of this time is related to the sample preparation.
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Indirect monitoring of protein A biosynthesis in E.coli using potentiometric Multisensor System
Sensors and Actuators B-chemical, 2016Co-Authors: Dmitry Kirsanov, Anton Korepanov, Daniil Dorovenko, Evgeny Legin, Andrey LeginAbstract:Abstract Fermentation process monitoring is a very important factor for controlled protein biosynthesis in industry. Currently the only method to determine protein concentration in cultivation broth is ELISA (enzyme-linked immunosorbent assay). Having high sensitivity and specificity, ELISA takes several hours to run, which is not suitable for express monitoring. A recent progress in Multisensor Systems for chemical analysis (electronic tongues) shows a good promise for application of such Systems in fermentation-related tasks. The objective of this work was feasibility study of potentiometric Multisensor System as an instrument for indirect assessment of protein production through chemical measurements in a cultivation medium. The samples taken from nine fermentation processes intended for production of recombinant protein A of Staphylococcus aureus (SpA) in Escherichia coli were analyzed with the electronic tongue System comprised of 14 potentiometric sensors. The System was able to monitor the global changes in the media composition as the fermentation progressed. By means of PLS regression it was possible to relate the responses of the sensors with the data on protein production from ELISA. The System was able to predict the content of SpA based on potentiometric measurements with accuracy suitable for monitoring purposes. It appears to be attractive alternative for ELISA in fermentation control tasks.
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Determination of the toxicity of herb preparations of the traditional Chinese medicine with a Multisensor System
Russian Journal of Applied Chemistry, 2015Co-Authors: Irina Yaroshenko, Dmitry Kirsanov, Ping Wang, Yu. G. Vlasov, Da Ha, J. He, Andrey LeginAbstract:Preparations based on medicinal herbs used in the traditional Chinese medicine to cure and make a prophylactic treatment of a wide variety of diseases wee studied. The goal of the study was to assess the capacity of a potentiometric Multisensor System of the electronic-tongue type in an instrumental evaluation of the toxicity of samples being analyzed. The toxicity of herb preparations was evaluated by the cell index calculated from results of an analysis of these preparations by biosensors. A procedure for measurement of samples with the Multisensor System was developed. Mathematical models relating the values obtained to reference data were constructed. The parameters of these models suggest that the potentiometric Multisensor System can prognosticate the toxicity of samples under study with a relative error not exceeding 11%.
Yu. G. Vlasov - One of the best experts on this subject based on the ideXlab platform.
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Laser-scanned silicon transducer (LSST) as a Multisensor System
Sensors and Actuators B: Chemical, 2020Co-Authors: Yu. E. Ermolenko, Tatsuo Yoshinobu, Yu. Mourzina, Yu. G. Vlasov, Michael J. Schöning, Hiroshi IwasakiAbstract:A Multisensor with a four-sectional membrane based on two Li- and two K-ionophores with different selectivities has been developed based on the laser-scanned silicon transducer (LSST), where the responses of the sensor sections have been measured by scanning the potentials at different points on the membrane surface. An artificial neural network (ANN) was employed for the analysis of mixed solutions. It has been demonstrated that by applying this hybrid sensor as a laser-scanned Multisensor System, the concentration regions for the simultaneous determination of lithium and potassium ions in complex solutions have been enlarged significantly. It has been shown that using such a kind of Multisensor System makes it possible to overcome the restriction of the selectivity in comparison with single sensors. (C) 2004 Elsevier B.V. All rights reserved
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Determination of the toxicity of herb preparations of the traditional Chinese medicine with a Multisensor System
Russian Journal of Applied Chemistry, 2015Co-Authors: Irina Yaroshenko, Dmitry Kirsanov, Ping Wang, Yu. G. Vlasov, Da Ha, J. He, Andrey LeginAbstract:Preparations based on medicinal herbs used in the traditional Chinese medicine to cure and make a prophylactic treatment of a wide variety of diseases wee studied. The goal of the study was to assess the capacity of a potentiometric Multisensor System of the electronic-tongue type in an instrumental evaluation of the toxicity of samples being analyzed. The toxicity of herb preparations was evaluated by the cell index calculated from results of an analysis of these preparations by biosensors. A procedure for measurement of samples with the Multisensor System was developed. Mathematical models relating the values obtained to reference data were constructed. The parameters of these models suggest that the potentiometric Multisensor System can prognosticate the toxicity of samples under study with a relative error not exceeding 11%.
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Determination of the integral toxicity of water in terms of biotesting with a Multisensor System sensitive to individual toxicants
Russian Journal of Applied Chemistry, 2014Co-Authors: O. A. Zadorozhnaya, Yu. G. Vlasov, D. O. Kirsanov, V. D. Tonkopii, V. N. Rybakin, A. O. Zagrebin, A. V. LeginAbstract:Possibility of applying a Multisensor potentiometric System of the type of the “electronic tongue” as a method for evaluating the toxicity of a water medium is considered. The Multisensor System is preliminarily calibrated against samples with a known toxicity, determined by the biotesting method with the use of living organisms. It is shown that the thus obtained System is suitable for evaluating the quality of water samples in terms of the response of various test objects without direct use of living organisms.
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Analysis of tea samples with a Multisensor System and capillary electrophoresis
Russian Journal of Applied Chemistry, 2011Co-Authors: I. S. Papieva, Dmitry Kirsanov, Andrey Legin, Yu. G. Vlasov, L. A. Kartsova, A. V. Alekseeva, N. Bhattacharyya, S. Sarkar, R. BandyopadkhyayAbstract:Potential of an “electronic tongue” Multisensor System in identification of various tea samples and in quantitative analysis of separate tea components was studied. As a reference method for quantitative analysis of antioxidants of the polyphenolic type served micellar electrokinetic chromatography with a UV detector. The contents of epicatechin gallate, epigallocatechin gallate, epicatechin, epigallocatechin, gallic acid, gallocatechin gallate, and caffeine alkaloid in various tea samples were quantitatively estimated.
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Comparison of the analytical potential of individual sensors and a Multisensor System of the “electronic tongue” type for the example of determination of the perchlorate ion
Russian Journal of Applied Chemistry, 2010Co-Authors: E. N. Pol’shin, A. V. Legin, D. O. Kirsanov, A. M. Rudnitskaya, Yu. G. VlasovAbstract:Analytical results obtained in determining the perchlorate ion in individual and mixed solutions by direct potentiometry with separate chemical sensors and with an “electronic tongue” Multisensor System were compared. Various anion-exchange compounds (quaternary ammonium salts and metalloporphyrins) and neutral complexation agents (trifluoroacetylbenzoic acid derivatives) were chosen as membrane-active components for sensors.
Dmitry Kirsanov - One of the best experts on this subject based on the ideXlab platform.
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potentiometric Multisensor System as a possible simple tool for non invasive prostate cancer diagnostics through urine analysis
Sensors and Actuators B-chemical, 2019Co-Authors: Svetlana Solovieva, Mikhail Karnaukh, Vitaly Panchuk, Evgeny Andreev, E A Bessonova, Igor Jahatspanian, Andrey Legin, L. A. Kartsova, Ping Wang, Dmitry KirsanovAbstract:Abstract We report a simple potentiometric Multisensor System for distinguishing the urine samples from the patients with diagnosed prostate cancer and from healthy control group. The sensors of the System are sensitive towards variety of cationic and anionic species in urine, as well as to the presence of RedOx pairs. The response of the System represents a complex chemical fingerprint of urine sample that can be related with patient status through multivariate modelling. 89 urine samples were studied (43 from cancer patients confirmed by prostatic puncture biopsy and 46 from healthy control group) and variety of multivariate classification techniques was applied to the potentiometric data. The best results were obtained with logistic regression model yielding 100% sensitivity and 93% specificity in the independent test set of samples.
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rapid evaluation of integral quality and safety of surface and waste waters by a Multisensor System electronic tongue
Sensors, 2019Co-Authors: Evgeny Legin, Dmitry Kirsanov, Olesya Zadorozhnaya, Maria Khaydukova, Vladimir Rybakin, Anatoly Zagrebin, N V Ignatyeva, Julia Ashina, Subrata Sarkar, Subhankar MukherjeeAbstract:The paper describes a wide-range practical application of the potentiometric Multisensor System (MS) (1) for integral safety evaluation of a variety of natural waters at multiple locations, under various climatic conditions and anthropogenic stress and (2) for close to real consistency evaluation of waste water purification processes at urban water treatment plants. In total, 25 natural surface water samples were collected around St. Petersburg (Russia), analyzed as is, and after ultrasonic treatment. Toxicity of the samples was evaluated using bioassay and MS. Relative errors of toxicity assessment with MS in these samples were below 20%. The System was also applied for fast determination of integral water quality using chemical oxygen demand (COD) values in 20 samples of water from river and ponds in Kolkata (India) and performed with an acceptable precision of 20% to 22% in this task. Furthermore, the MS was applied for fast simultaneous evaluation of COD, biochemical oxygen demand, inorganic phosphorous, ammonia, and nitrate nitrogen at two waste water treatment plants (over 320 samples). Reasonable precision (within 25%) of such analysis is acceptable for rapid water safety evaluation and enables fast control of the purification process. MS proved to be a practicable analytical instrument for various real-world tasks related to water safety monitoring.
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Multivariate Calibration Transfer between two Potentiometric Multisensor Systems
Electroanalysis, 2017Co-Authors: Maria Khaydukova, Vitaly Panchuk, Dmitry Kirsanov, Andrey LeginAbstract:A multivariate calibration of Multisensor Systems is a very important stage in their application. Construction of reliable calibration model requires significant investment of time and money. Once established, calibration model can be applied normally only together with that particular Multisensor System, which was employed for its’ construction – this can be a serious limitation for a wide adoption of Multisensor Systems in common laboratory practice. In order to address this issue we have studied the applicability of several calibration transfer techniques, such as direct standardization, single wavelength standardization and standardization with regularization coefficient for the data obtained from two potentiometric Multisensor Systems in analysis of complex lanthanide mixtures. It was found that mathematical correction of sensor array response using standardization with regularization coefficient allows for using the regression model derived for one sensor array together with the data obtained from another sensor array. The value of root mean squared error of prediction for total lanthanide concentration increased insignificantly (0.10 instead of 0.07 in log scale) compared with that provided by the first Multisensor System.
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Bio-assisted potentiometric Multisensor System for purity evaluation of recombinant protein A.
Talanta, 2016Co-Authors: Edita Voitechovič, Igor Jahatspanian, Dmitry Kirsanov, Anton Korepanov, Andrey LeginAbstract:Recombinant proteins became essential components of drug manufacturing. Quality control of such proteins is routine task, which usually requires a lot of time, expensive reagents, specialized equipment and highly educated personnel. In this study we propose a new concept for protein purity evaluation that is based on application of bio-assisted potentiometric Multisensor System. The model object for analysis was recombinant protein A from Staphylococcus aureus (SpA), which is commonly used for monoclonal antibody purification. SpA solutions with different amount of host cell related impurities (Escherichia coli, bacterial lysate) were analyzed. Two different bio-transducers were employed: proteinase K from Tritirachium album and baker's yeast Saccharomyces cerevisiae. It was shown that both bio-transducers are able to induce changes in pure and lysate-contaminated SpA samples. Different products of yeast digestion and proteolysis with proteinase of pure SpA and lysate were detected with size exclusion high-performance liquid chromatography (SE-HPLC). The induced changes of chemical composition are detectible with potentiometric Multisensor System and can be related to SpA purity through projection on latent structures (PLS) regression technique. The proposed method allows for estimation of the impurity content with 12% accuracy using proteinase K and 16% accuracy using baker's yeast. The suggested approach could be useful for early contamination warning at initial protein purification steps. The analysis requires no expensive materials and equipment, no bio-material immobilization, and its duration time is comparable with other commonly used methods like chromatography or electrophoresis though the main part of this time is related to the sample preparation.
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Indirect monitoring of protein A biosynthesis in E.coli using potentiometric Multisensor System
Sensors and Actuators B-chemical, 2016Co-Authors: Dmitry Kirsanov, Anton Korepanov, Daniil Dorovenko, Evgeny Legin, Andrey LeginAbstract:Abstract Fermentation process monitoring is a very important factor for controlled protein biosynthesis in industry. Currently the only method to determine protein concentration in cultivation broth is ELISA (enzyme-linked immunosorbent assay). Having high sensitivity and specificity, ELISA takes several hours to run, which is not suitable for express monitoring. A recent progress in Multisensor Systems for chemical analysis (electronic tongues) shows a good promise for application of such Systems in fermentation-related tasks. The objective of this work was feasibility study of potentiometric Multisensor System as an instrument for indirect assessment of protein production through chemical measurements in a cultivation medium. The samples taken from nine fermentation processes intended for production of recombinant protein A of Staphylococcus aureus (SpA) in Escherichia coli were analyzed with the electronic tongue System comprised of 14 potentiometric sensors. The System was able to monitor the global changes in the media composition as the fermentation progressed. By means of PLS regression it was possible to relate the responses of the sensors with the data on protein production from ELISA. The System was able to predict the content of SpA based on potentiometric measurements with accuracy suitable for monitoring purposes. It appears to be attractive alternative for ELISA in fermentation control tasks.
Zhang Jiao-ling - One of the best experts on this subject based on the ideXlab platform.
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Centralized fusion estimation for uncertain Multisensor System based on LMI method
2009 International Conference on Mechatronics and Automation, 2009Co-Authors: Zhang Jiao-lingAbstract:This paper gives the models of uncertain Multisensor System based on norm-bounded parameter uncertain model method and convex bounded uncertain model method, respectively. The corresponding centralized robust fusion estimations are developed, too. Simulation compares different fusion estimation methods detailedly in frequency and time fields and concludes that each of two filters has its strong point at restraining disturbance attenuation within some frequency range. The filter based on former model can obtain less estimation covariance, but may encounter numerical value problem and lead to a 'bad' solution. The filter based on latter model will become complicated when the number of sensors increasing. The results of this paper develop the theory basis of state fusion estimation for the uncertain Multisensor System in practical.
Maria Bochenska - One of the best experts on this subject based on the ideXlab platform.
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potentiometric solid contact Multisensor System for simultaneous measurement of several ions
Electroanalysis, 2015Co-Authors: Artur Jasinski, Marcin Urbanowicz, Marcin Guzinski, Maria BochenskaAbstract:The design and performance of potentiometric Multisensor System made in solid-contact technology is described. Both, the measuring electrodes as well as the reference electrode are in a compact cell. The System allows for simultaneous measurement of various ions. The characteristics of the electrodes for Na + ,K + and Ca 2 + ions were determined using the designed System and com- pared with ISEs of the same membrane composition in classical System. The potentiometric cells were used to determine the concentration of the ions in synthetic and real human sweat samples. The obtained results for syn- thetic samples were compared to the expected values and for collected real sample of sweat were compared to the results obtained by flame photometry (Na + ,K + ) and by AAS (Ca 2 + ).
