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Chemometric Education in Saint-Petersburg

Chemometric Education in Saint-Petersburg. St.-Petersburg State University; St.-Petersburg State University of Aerospace Instrumentation; St.-Petersburg State Institute of Technology (Technical University). St.-Petersburg State University. Faculty of Chemistry

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Chemometric Education in Saint-Petersburg

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  1. Chemometric Education in Saint-Petersburg • St.-Petersburg State University; • St.-Petersburg State University • of Aerospace Instrumentation; • St.-Petersburg State Institute • of Technology • (Technical University)

  2. St.-Petersburg State University • Faculty of Chemistry • Department of Organic Chemistry • Laboratory of gas chromatography • Dr. Anatolii Marinichev • Translation of monography: Sharaf M.A., Illmen D.L. • Kovalsky B.P. “Chemometrics” into Russian in 1986; • Organization of St. Petersburg Chemometrics Society • together with L.A. Rusinov and N.N. Khramov in • 2000-2001; • Organization of Symposium on Chemometrics in 2002

  3. Chemometric courses taught by • Dr. Anatolii Marinichev: • “Chemometrics” (Part 1) for the 4th year students, this course takes 16 hours; • “Chemometrics” (Part 2) for the 5th year students, this course, takes 24 hours; • course for Masters

  4. The main chapters of the course“Chemometrics” • (Part 1) • The term chemometrics and main parts of chemometrics; • Elements of statistics; • Statistics hypotheses and their verification; • Analytical signal, it detection and control; • Correlation and regression; • The main chapters of the course“Chemometrics” • (Part II) • Multidimensional statistics analysis; • Design of experiments; • Elements of analysis of variance; • Problems of reducing the dimensionality of data

  5. Faculty of Chemistry Department of Inorganic Chemistry Dr. Andrei Kudrev Chemometric course “Mathematical treatment of results of chemical experiment” (54 hours) is taught to Masters: 1. Error analysis; 2. Statistics treatment of results of chemical analysis; 3. Multivariate data analysis using factor analysis methods; 4. Application of factor analysis; 5. Principal Component Analysis

  6. Faculty of Chemistry Department of Radiochemistry Laboratory of Chemical Sensors Dr. Alisa Rudnitskaya Development and application of ELECTRONIC TONGUE - a sensor device for recognition (identification, classification, discrimination), quantitative multicomponent analysis and artificial assessment of taste and flavour of various liquids

  7. Main application areas of ELECTRONIC TONGUE Food analysis Analysis of liquid food, beverages and brews, analysis of homogenates (flesh food, fruits, vegetables), analysis of vegetable and olive oils. Raw materials, intermediates, final products, taste substances, food additives. Recognition, identification, classification and quality control. Multicomponent quantitative determination of the content of inorganic and organic nutrients. Correlation between ELECTRONIC TONGUE and human sensory perception in food flavor evaluation. Basic tastes (salty, sweet, bitter, sour, umami). Prediction of human taste panel scores. Clinical analysis Recognition and multicomponent quantitative analysis of inorganic and organic substances in biological and medical liquids. Diagnostic of diseases through the integral chemical analysis of liquid media. Environmental analysis Analysis of pollutants in the ground water. Determination of toxic free ions in the seawater Industrial analysis Control of composition of flue gas (absorbed by the liquid) from incinerators. Determination of heavy metal content in a fluid of an industrial waste purification system. Analysis of Cu, Zn, Fe, Cr and other components in the galvanic industry.

  8. Electronic tongue is an analytical instrument comprising an array of non-specific, low selective chemical sensors with partial specificity (cross-sensitivity) to different components in solution, and an appropriate method of pattern recognition and/or multivariate calibration for the data processing. Pattern recognition and multivariate calibration methodsTo deal with the data from a sensor array it is necessary to use different methods, which allow fitting the multidimensional output of the sensor set. DATA PROCESSING TECHNIQUES Principal Component AnalysisCluster analysisArtificial neural networks Multivariate calibration methodsMulti linear regressionPrincipal component regressionPartial least square regressionNon-linear regression

  9. St.-Petersburg State University of Aerospace Instrumentation Faculty of economics and management Department of Applied Information Technologies in Economics and Management Prof. Svetlana Sokolova courses “Intellectual Multivariate Data Analysis ” and “Intelligent Information Systems” for the 4th andthe 5th year students. The main topics of the Term Paper in the frame of course “Intelligent Information Systems”:information security of PC networks, analysis of stock market dynamicsetc.

  10. St.-Petersburg State Institute of Technology (Technical University) Faculty of Informatics and Control Department of Automation of Processes of Chemical Industry Prof. Leon Rusinov uses chemometrics in his course “Automation of Processes of Chemical Industry” and in his research (Problems of reducing the dimensionality of data)

  11. Faculty of Informatics and Control Department of Automation of Processes of Chemical Industry Leading specialist of “Lumex” Ltd. (analytical equipment) Dr. Konstantin Zharinov uses chemometrics in his research (application of Principal Component Analysis for near IR spectra)

  12. Oleg Yanush, Dr. Sc. (Chemistry), Professor E-mail: O.V.Yanush@inbox.ru Tatiana Markova, Ph. D (Chemistry), Assistant Professor E-mail: T.S.Markova@mail.ru Department of Physics, St.-Petersburg State Technological University of Plant Polymers

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