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Advanced Analysis of Isobaric Heat Capacities by Mathematical Gnostics
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SYSNO ASEP 0481310 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Advanced Analysis of Isobaric Heat Capacities by Mathematical Gnostics Author(s) Wagner, Zdeněk (UCHP-M) RID, SAI, ORCID
Bendová, Magdalena (UCHP-M) RID, ORCID, SAI
Rotrekl, Jan (UCHP-M) RID, ORCID, SAI
Velíšek, Petr (UCHP-M) RID, SAI
Storch, Jan (UCHP-M) RID, ORCID, SAI
Uchytil, Petr (UCHP-M) RID, SAI
Setničková, Kateřina (UCHP-M) RID, ORCID, SAI
Řezníčková Čermáková, Jiřina (UCHP-M) RIDSource Title Journal of Solution Chemistry. - : Springer - ISSN 0095-9782
Roč. 46, 9-10 (2017), s. 1836-1853Number of pages 18 s. Action International Symposium on Solubility Phenomena and Related Equilibrium Processes Event date 24.07.2016 - 29.07.2016 VEvent location Geneva Country CH - Switzerland Event type EUR Language eng - English Country US - United States Keywords isobaric heat capacity ; ionic liquids ; mathematical gnostics Subject RIV CF - Physical ; Theoretical Chemistry OECD category Physical chemistry R&D Projects LD14090 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Institutional support UCHP-M - RVO:67985858 UT WOS 000413118800010 EID SCOPUS 85029810328 DOI 10.1007/s10953-017-0676-x Annotation Two novel imidazolium based ether-functionalized room temperature ionic liquids were synthesized to study the temperature dependence of the isobaric heat capacity in the temperature range 298.15–348.15 K. In-house synthesized ionic liquids are often available in small amounts only, owing to the high cost of the precursors and difficulties during the synthesis itself. It is therefore impossible to repeat measurement many times so that a statistically significant data sample can be obtained. In addition, to obtain at least several values of the measured property, the ionic liquid must be recycled and reused. In this work two recycling techniques were used and their influence on the values of the experimental isobaric heat capacity was analyzed. Advantages of a modern nonstatistical data analysis technique, namely mathematical gnostics, were demonstrated. Workplace Institute of Chemical Process Fundamentals Contact Eva Jirsová, jirsova@icpf.cas.cz, Tel.: 220 390 227 Year of Publishing 2018
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