Počet záznamů: 1  

Ionic Liquids. Synthesis, Properties, Technologies and Applications

  1. 1.
    SYSNO ASEP0521289
    Druh ASEPM - Kapitola v monografii
    Zařazení RIVC - Kapitola v knize
    NázevLiquid-liquid equilibria in systems of ionic liquids: A guide to experiments and data analysis
    Tvůrce(i) Bendová, Magdalena (UCHP-M) RID, ORCID, SAI
    Wagner, Zdeněk (UCHP-M) RID, SAI, ORCID
    Rotrekl, Jan (UCHP-M) RID, ORCID, SAI
    Zdroj.dok.Ionic Liquids. Synthesis, Properties, Technologies and Applications. - Brlin : Walter de Gruyter GmbH, 2019 / Fehrmann R. ; Santini C. - ISBN 978-3-11-058201-7
    Rozsah strans. 17-27
    Poč.str.11 s.
    Poč.str.knihy163
    Forma vydáníTištěná - P
    Jazyk dok.eng - angličtina
    Země vyd.DE - Německo
    Klíč. slovaliquid-liquid equilibria ; experimental methods ; mathematical gnostics
    Vědní obor RIVCF - Fyzikální chemie a teoretická chemie
    Obor OECDPhysical chemistry
    Institucionální podporaUCHP-M - RVO:67985858
    DOI10.1515/9783110583632-002
    AnotaceExperimental methods used to determine liquid-liquid equilibria (LLE) in systems con-taining ionic liquids (Its) are summarized. While these methods are essentially the same as in studies of LLE in systems of molecular liquids, systems containing ILs show some specificities that must be taken into account. The methods addressed are therefore compared and assessed as to their suitability, advantages and drawbacks.
    In the second part of the chapter, data analysis is addressed to demonstrate the wealth of information that can be obtained by means of using appropriate methods. An example of multivariate calibration using the partial least-squares method is given to show the means of separating overlapping UV-Vis spectra. Most importantly, though, a brief introduction to mathematical gnostics is given. This nonsta- tistical approach to data uncertainty is a powerful tool in critical assessment of a number of types of thermodynamic data, including LLE, and in a robust linear as well as nonline-ar regression even of small samples of scattered data.
    PracovištěÚstav chemických procesů
    KontaktEva Jirsová, jirsova@icpf.cas.cz, Tel.: 220 390 227
    Rok sběru2020
    Elektronická adresahttps://books.google.cz/books?id=R3acDwAAQBAJ&pg=PA17&lpg=PA17&dq=10.1515/9783110583632-002&source=bl&ots=6qk2b8cloa&sig=ACfU3U151oxWRVzD-pQUqHdCX7WA1NZVUg&hl=cs&sa=X&ved=2ahUKEwj4gaqxiqvnAhVKZVAKHfSxAQ0Q6AEwBHoECAMQAQ#v=onepage&q=10.1515%2F9783110583632-002&f=false
Počet záznamů: 1  

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