Participants

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  • Bulianitsa Anton

    Institute of Analytical Instrumentation RAS
    Head of department
    Saint Petersburg, Russia
    • P30.

      Renessaince of colorimetry: scientometrical study

  • Burger James

    BurgerMetrics SIA
    Director
    Jelgava, Latvia
    • P15.

      Sampling strategies for hyperspectral image models

  • Burmistrova Natalia

    Saratov State University
    Associate Professor
    Saratov, Russia
    • P04.

      The data processing method of sensor system for pH monitoring

  • Cherednik Ekaterina

    Tomsk State University
    Student
    Tomsk, Russia
    • P32.

      Determining of general water hardness by digital image-based titration

  • Christensen Niels Peter Aae

    University of Copenhagen
    PhD student
    Copenhagen, Denmark
    • P33.

      Improved process understanding of solid dosage formulations through spectroscopy and multivariate data analysis

  • Daszykowski Michal

    University of Silesia
    Adiunkt
    Katowice, Poland

  • Derkachova Olga

    Saint Petersburg State Technological University of Plant Polymers
    Associate Professor
    Saint Petersburg, Russia
    • T02.

      The use of FTIR-spectroscopy and chemometrics for analysis of kraft pulps

      presentation (527.1 KB)
    • P39.

      Application of chemometrics method and constant stoichiometry groupings concept to the Raman spectra of lead metaphospate — TeO2 glasses (Coauthor)

  • Dmitriev Alexander

    Altai State University
    Student
    Barnaul, Russia
    • P08.

      Analysis of MRI images of a brain of patients with dementia using multivariate approach

  • Dolgonosov Anatoly

    Vernadsky Institute of Geochemistry and Analytical Chemistry RAS
    Professor
    Moscow, Russia
    • P05.

      Mathematical simulation and strategy for optimization of ion chromatographic analysis

  • Dynina Alena

    Saint Petersburg State Technological University of Plant Polymers
    PhD student
    Saint Petersburg, Russia
    • P40.

      Using infrared spectroscopy and principal component regression for study of the bleaching and ageing influence on paper brightness