Unsupervised bubble calorimetry analysis: Surface tension from isothermal titration calorimetry

JOURNAL OF COLLOID AND INTERFACE SCIENCE

卷:606

Article

Garrido, Pablo F.¹  Bastos, Margarida²  Velazquez-Campoy, Adrian^3,4,5,6,7  Amigo, Alfredo¹  Dumas, Philippe⁸  Pineiro, Angel¹ 

[1] Univ Santiago Compostela, Dept Fis Aplicada, Fac Fis, E-15782 Santiago De Compostela, Spain

[2] Univ Porto, CIQ UP, Dept Quim & Bioquim, Fac Ciencias, R Campo Alegre 687, P-4169007 Porto, Portugal

[3] Univ Zaragoza, Inst Biocomputat & Phys Complex Syst BIFI, Joint Units IQFR CSIC BIFI & GBsC CSIC BIFI, Zaragoza 50018, Spain

[4] Univ Zaragoza, Dept Biochem & Mol & Cell Biol, Zaragoza 50009, Spain

[5] Aragon Inst Hlth Res IIS Aragon, Zaragoza 50009, Spain

[6] Biomed Res Networking Ctr Liver & Digest Dis CIBE, Madrid 28029, Spain

[7] Fdn ARAID, Govt Aragon, Zaragoza 50018, Spain

[8] Strasbourg Univ, Dept Integrat Biol, IGBMC, F-67404 Illkirch Graffenstaden, France

关键词: Interfaces;    Adsorption;    Isothermal Titration Calorimetry;    Surface Tension;    Data analysis;   

DOI  :  10.1016/j.jcis.2021.08.115

来源: Elsevier

【 摘 要 】

Hypothesis: The injection of air into the sample cell of an isothermal titration calorimeter containing a liquid provides a rich-in-information signal, with a periodic contribution arising from the creation, growing and release of bubbles. The identification and analysis of such contributions allow the accurate determination of the surface tension of the target liquid. Experiments: Air is introduced at a constant rate into the sample cell of the calorimeter containing either a pure liquid or a solution. The resulting calorimetric signal is analyzed by a new algorithm, which is implemented into a computational code. Findings: The thermal power generated by our experiments is often noisy, thus hiding the periodic signal arising from the bubbles' formation and release. The new algorithm was tested with a range of different types of calorimetric raw data, some of them apparently being just noise. In all cases, the contribution of the bubbles to the signal was isolated and the corresponding period was successfully determined in an automated way. It is also shown that two reference measurements suffice to calibrate the instrument at a given temperature, regardless the injection rate, allowing the direct determination of surface tension values for the liquid contained in the sample cell. (c) 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

【 授权许可】

Free