Presentations

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  • T06.

    Predictive power of LDA to discriminate abnormal wine fermentations

    Urtubia Alejandra
    abstract (99.8 KB) presentation (1.1 MB)
  • T07.

    Analysis of complex mixtures using self-modeling decomposition of different spectral data

    Monakhova Yulia
    abstract (92.6 KB) presentation (863.3 KB)
  • T08.

    Statistical methods of process monitoring and diagnostics

    Rusinov Leon, Rudakova Irine
    abstract (88.8 KB) presentation (1.6 MB)
  • T09.

    PAT solution to the drug release prediction

    Pomerantsev Alexey, Rodionova Oxana
    abstract (80.5 KB) presentation (2.4 MB)
  • T10.

    Process Analytical Technology — monitoring of biogas processes at meso scale test biogas plants

    Holm-Nielsen Jens Bo, Esbensen Kim
    abstract (86.5 KB) presentation (2.1 MB)
  • T11.

    Beer quality assessment by hybrid spectroscopic-electrochemical technique

    Kirsanov Dmitry, Bogomolov Andrey
    abstract (89.3 KB) presentation (291.2 KB)
  • T12.

    In-line monitoring of yeast fermentation with 2D-fluorescence probe

    Bogomolov Andrey
    abstract (106.3 KB) presentation (1.1 MB)
  • T13.

    PLS2 regression as a tool for selection of optimal analytical modality — a closer look at beer brewing process analysis with alternative spectroscopic data types

    Madsen Michael, Esbensen Kim
    abstract (81.5 KB) presentation (472.5 KB)
  • T14.

    Comparison of independent process analytical measurements — a variographic study

    Minkkinen Pentti
    abstract (96.0 KB) presentation (654.9 KB)
  • T15.

    Pattern recognition methods for profiling microbial communities

    Lemanska Agnieszka
    abstract (146.4 KB) presentation (2.3 MB)