Number of the records: 1  

Ionic Liquids. Synthesis, Properties, Technologies and Applications

  1. 1.
    SYSNO ASEP0521289
    Document TypeM - Monograph Chapter
    R&D Document TypeMonograph Chapter
    TitleLiquid-liquid equilibria in systems of ionic liquids: A guide to experiments and data analysis
    Author(s) Bendová, Magdalena (UCHP-M) RID, ORCID, SAI
    Wagner, Zdeněk (UCHP-M) RID, SAI, ORCID
    Rotrekl, Jan (UCHP-M) RID, ORCID, SAI
    Source TitleIonic Liquids. Synthesis, Properties, Technologies and Applications. - Brlin : Walter de Gruyter GmbH, 2019 / Fehrmann R. ; Santini C. - ISBN 978-3-11-058201-7
    Pagess. 17-27
    Number of pages11 s.
    Number of pages163
    Publication formPrint - P
    Languageeng - English
    CountryDE - Germany
    Keywordsliquid-liquid equilibria ; experimental methods ; mathematical gnostics
    Subject RIVCF - Physical ; Theoretical Chemistry
    OECD categoryPhysical chemistry
    Institutional supportUCHP-M - RVO:67985858
    DOI10.1515/9783110583632-002
    AnnotationExperimental 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.
    WorkplaceInstitute of Chemical Process Fundamentals
    ContactEva Jirsová, jirsova@icpf.cas.cz, Tel.: 220 390 227
    Year of Publishing2020
    Electronic addresshttps://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
Number of the records: 1  

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