IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v553y2020ics0378437120300212.html
   My bibliography  Save this article

Molecular velocity auto-correlations in glycerol/water mixtures studied by NMR MGSE method

Author

Listed:
  • Stepišnik, Janez
  • Mattea, Carlos
  • Stapf, Siegfried
  • Mohorič, Aleš

Abstract

Molecular dynamics in binary mixtures of water and glycerol was studied by measuring the spectrum of water velocity auto-correlation in the frequency range from 0.05−10 kHz by using the NMR method of modulated gradient spin echo. The method shows that the diversity of diffusion signature in the short spin trajectories provides information about heterogeneity of molecular motion due to the motion in the micro-vortexes of hydrodynamic fluctuation, which is especially pronounced for the mixtures with low glycerol content. As concentration of glycerol increases above 10vol%, a new feature of spectrum appears due to interaction of water molecules with the clusters formed around hydrophilic glycerol molecules. New spectrum exposes a rate thickening of molecular friction, according to Einstein–Smoluchowski–Kubo formula, which inhibits rapid molecular motions and creates the conditions for a slow process of spontaneously folding of disordered poly-peptides into biologically active protein molecules when immersed in such a mixture.

Suggested Citation

  • Stepišnik, Janez & Mattea, Carlos & Stapf, Siegfried & Mohorič, Aleš, 2020. "Molecular velocity auto-correlations in glycerol/water mixtures studied by NMR MGSE method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
    • Handle: RePEc:eee:phsmap:v:553:y:2020:i:c:s0378437120300212
    DOI: 10.1016/j.physa.2020.124171
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437120300212
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2020.124171?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stanley, H.E. & Kumar, P. & Xu, L. & Yan, Z. & Mazza, M.G. & Buldyrev, S.V. & Chen, S.-H. & Mallamace, F., 2007. "The puzzling unsolved mysteries of liquid water: Some recent progress," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 386(2), pages 729-743.
    2. Janez Stepišnik & Carlos Mattea & Siegfried Stapf & Aleš Mohorič, 2018. "Molecular velocity auto-correlation of simple liquids observed by NMR MGSE method," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 91(11), pages 1-9, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kwang-Hua, Chu R., 2019. "Neutron scattering analysis of water’s glass transition and micropore collapse in amorphous solid water : Revisited," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 18-21.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:553:y:2020:i:c:s0378437120300212. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.