Homogeneous nucleation rates of water at temperatures between 240 and 270 K were measured in a laminar flow diffusion chamber at ambient pressure and helium as carrier gas. Being in the range of 10(2)-10(6) cm(-3) s(-1), the experimental results extend the nucleation rate data from literature consistently and fill a pre-existing gap. Using the macroscopic vapor pressure, density, and surface tension for water we calculate the nucleation rates predicted by classic nucleation theory (CNT) and by the empirical correction function of CNT by Wolk and Strey [J. Phys. Chem. B 105, 11683 (2001)]. As in the case of other systems (e.g., alcohols), CNT predicts a stronger temperature dependence than experimentally observed, whereas the agreement with the empirical correction function is good for all data sets. Furthermore, the isothermal nucleation rate curves allow us to determine the experimental critical cluster sizes by use of the nucleation theorem. A comparison with the critical cluster sizes calculated by use of the Gibbs-Thomson equation is remarkably good for small cluster sizes, for bigger ones the Gibbs-Thomson equation overestimates the cluster sizes.
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http://dx.doi.org/10.1063/1.3427537 | DOI Listing |
RSC Adv
January 2025
Nanoscience Research Laboratory, Department of Chemistry, Shivaji University Kolhapur 416 004 Maharashtra India
This research investigates the microbial inactivation potential of ternary TiO-CuO-chitosan nanocomposites (TCC NCs) applied as surface coatings on cowhide leather. Initially, bare TiO nanoparticles (NPs) and binary TiO-CuO (TC) NCs, with varying CuO NPs content, were prepared using an sol-gel method. These binary TC NCs were then modified with chitosan at varying weight percentages (2%, 4%, 6%, and 8%).
View Article and Find Full Text PDFJ Phys Chem B
January 2025
Department of Chemistry, Birla Institute of Technology and Science, Pilani, Pilani Campus, Rajasthan 333031, India.
The behavior of water in concentrated ionic solutions, including supersaturated conditions, is crucial for numerous material and energy conversion processes and fundamental research. All electrolytes whether they "structure-make" or "structure-break" the water structure lead to slower water motion. This study investigates the structure and dynamics of aqueous NaCl solutions across a wide range of concentrations.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Interdisciplinary Nanoscience Center, Aarhus University, Gustav Wieds Vej 14, 8000 Aarhus C, Denmark.
High-throughput measurement of cellular traction forces at the nanoscale remains a significant challenge in mechanobiology, limiting our understanding of how cells interact with their microenvironment. Here, we present a novel technique for fabricating protein nanopatterns in standard multiwell microplate formats (96/384-wells), enabling the high-throughput quantification of cellular forces using DNA tension gauge tethers (TGTs) amplified by CRISPR-Cas12a. Our method employs sparse colloidal lithography to create nanopatterned surfaces with feature sizes ranging from sub 100 to 800 nm on transparent, planar, and fully PEGylated substrates.
View Article and Find Full Text PDFThe Arabian Peninsula is considered the initial site of historic human migration out of Africa. The modern-day indigenous Arabians are believed to be the descendants who remained from the ancient split of the migrants into Eurasia. Here, we investigated how the population history and cultural practices such as endogamy have shaped the genetic variation of the Saudi Arabians.
View Article and Find Full Text PDFData Min Knowl Discov
January 2025
CWI, Amsterdam, The Netherlands.
Missing values arise routinely in real-world sequential (string) datasets due to: (1) imprecise data measurements; (2) flexible sequence modeling, such as binding profiles of molecular sequences; or (3) the existence of confidential information in a dataset which has been deleted deliberately for privacy protection. In order to analyze such datasets, it is often important to replace each missing value, with one or more letters, in an efficient and effective way. Here we formalize this task as a combinatorial optimization problem: the set of constraints includes the of the missing value (i.
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