In the most influential monograph on colloid and interfacial science by Adamson three fundamental equations of "physical chemistry of surfaces" are identified: the Laplace equation, the Kelvin equation and the Gibbs adsorption equation, with a mechanical definition of surface tension by Young as a starting point. Three of them (Young, Laplace and Kelvin) are called here the "mechanical paradigm". In contrary it is shown here that there is only one fundamental equation of the thermodynamics of colloid and interface science and all the above (and other) equations of this field follow as its derivatives. This equation is due to chemical thermodynamics of Gibbs, called here the "chemical paradigm", leading to the definition of surface tension and to 5 rows of equations (see Graphical abstract). The first row is the general equation for interfacial forces, leading to the Young equation, to the Bakker equation and to the Laplace equation, etc. Although the principally wrong extension of the Laplace equation formally leads to the Kelvin equation, using the chemical paradigm it becomes clear that the Kelvin equation is generally incorrect, although it provides right results in special cases. The second row of equations provides equilibrium shapes and positions of phases, including sessile drops of Young, crystals of Wulff, liquids in capillaries, etc. The third row of equations leads to the size-dependent equations of molar Gibbs energies of nano-phases and chemical potentials of their components; from here the corrected versions of the Kelvin equation and its derivatives (the Gibbs-Thomson equation and the Freundlich-Ostwald equation) are derived, including equations for more complex problems. The fourth row of equations is the nucleation theory of Gibbs, also contradicting the Kelvin equation. The fifth row of equations is the adsorption equation of Gibbs, and also the definition of the partial surface tension, leading to the Butler equation and to its derivatives, including the Langmuir equation and the Szyszkowski equation. Positioning the single fundamental equation of Gibbs into the thermodynamic origin of colloid and interface science leads to a coherent set of correct equations of this field. The same provides the chemical (not mechanical) foundation of the chemical (not mechanical) discipline of colloid and interface science.
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http://dx.doi.org/10.1016/j.cis.2018.04.007 | DOI Listing |
BMC Public Health
January 2025
Department of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Research Center for Palliative Care, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, P.R. China.
Background: The promotion of healthy dietary behaviors in adolescence is critical, which have long-term implications for lifelong health. Integration is an important method for improving limited theories of dietary behavior change. The present study proposes an integrated model aimed at identifying the diverse determinants of healthy dietary behaviors in adolescents and assesses its stage-specific nature as the potential for effective interventions.
View Article and Find Full Text PDFBMC Infect Dis
January 2025
Department of Cardiac Surgery, Second Hospital of Hebei Medical University, No.215 of Heping West Road,Xinhua District, Shijiazhuang, 050000, China.
Objective: To evaluate the effects of different SARS-CoV-2 inactivation methods on the blood concentration of colistin sulfate.
Methods: A colistin sulfate reference substance, a quality control plasma sample, and a clinically measured sample were transferred and heated in a 56 °C water batch for 30 min or irradiated under an ultraviolet (UV) lamp for 60 min to examine the stability of the reference solution and quality control plasma sample. Statistical analysis was conducted for the concentration of the clinically measured sample before and after inactivation with the intraclass correlation coefficient (ICC) method, the Passing-Bablok regression, and the Bland-Altman analysis.
Alcohol Clin Exp Res (Hoboken)
January 2025
Department of Psychiatry, University of California San Diego Medical School, San Diego, California, USA.
Background: Preliminary evaluations of 212 drinking offspring from the San Diego Prospective Study (SDPD) indicated that over 50% developed alcohol use disorder (AUD) by their mid-20s. The present analysis evaluated if those findings remained robust when the group increased to 454 individuals, a sample size that facilitated a search for potential contributors to the high AUD prevalence.
Methods: Semistructured interviews were used to evaluate lifetime AUD diagnoses in 224 daughters and 230 sons from the SDPS (N = 454) by mean age 26.
J Psychiatr Res
December 2024
New Jersey Gun Violence Research Center, School of Public Health, Rutgers University, United States; Department of Urban-Global Public Health, School of Public Health, Rutgers University, United States.
Background/purpose: Adverse childhood experiences (ACEs) have been linked to various detrimental life outcomes, including an increase in threat sensitivity and depressive symptoms. Studies have also found an association between ACEs and firearm ownership. To date, no study has assessed whether ACEs have direct or indirect effects on defensive gun use (DGU) through these risk factors.
View Article and Find Full Text PDFComput Biol Med
January 2025
Health Innovation and Transformation Centre, Federation University, Victoria, 3842, Australia; BioThink, Queensland, 4020, Australia.
Reconstruction of Gene Regulatory Networks (GRNs) is essential for understanding gene interactions, their impact on cellular processes, and manifestation of diseases, including drug discovery. Among various mathematical and dynamic models used for GRN reconstruction, S-system model, comprising non-linear differential equations, is widely utilised to capture the behaviour of complex biological systems with non-linear and time-dependent interactions. However, as the network size increases, computational demand for network inference grows due to a greater number of estimation parameters, significantly impacting the performance of optimisation algorithms.
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