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
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DOI - Digital Object Identifier
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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
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Result continuities
Project
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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
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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
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EID of the result in the Scopus database
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