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Determination of the majority minerals in claystone and clay slates using infrared spectoscopy and chemometric analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F13%3A86089095" target="_blank" >RIV/61989100:27360/13:86089095 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    STANOVENÍ MAJORITNÍCH MINERÁLŮ V JÍLOVCÍCH A JÍLOVÝCH BŘIDLICÍCH CHEMOMETRICKOU ANALÝZOU INFRAČERVENÝCH SPEKTER

  • Original language description

    The objective of this work is the determination of majority minerals in claystones and clay slates using infrared spectroscopy and chemometric analysis. The chemometric calibration models were developed for the determination of content of chlorite, muscovite, albite and quartz. Diffuse reflectance technique were used to measure the infrared spectra. Principal component analysis (PCA) and partial least-squares (PLS) regression were used as chemometric methods. Spectral regions (4000-2750 cm-1 and 1300-400 cm-1) containing important spectral information were chosen for the creation of the chemometric models. These models were created by a PLS regression method. The value of the mean relative error up to 30 % was found for most of control samples. From the exception of two results, the value of the relative standard deviation up to 5 % was achieved

  • Czech name

    STANOVENÍ MAJORITNÍCH MINERÁLŮ V JÍLOVCÍCH A JÍLOVÝCH BŘIDLICÍCH CHEMOMETRICKOU ANALÝZOU INFRAČERVENÝCH SPEKTER

  • Czech description

    The objective of this work is the determination of majority minerals in claystones and clay slates using infrared spectroscopy and chemometric analysis. The chemometric calibration models were developed for the determination of content of chlorite, muscovite, albite and quartz. Diffuse reflectance technique were used to measure the infrared spectra. Principal component analysis (PCA) and partial least-squares (PLS) regression were used as chemometric methods. Spectral regions (4000-2750 cm-1 and 1300-400 cm-1) containing important spectral information were chosen for the creation of the chemometric models. These models were created by a PLS regression method. The value of the mean relative error up to 30 % was found for most of control samples. From the exception of two results, the value of the relative standard deviation up to 5 % was achieved

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    CB - Analytical chemistry, separation

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Chemické listy

  • ISSN

    0009-2770

  • e-ISSN

  • Volume of the periodical

    107

  • Issue of the periodical within the volume

    září

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    4

  • Pages from-to

    713-716

  • UT code for WoS article

  • EID of the result in the Scopus database