ArticleLangmuir : the ACS journal of surfaces and colloids2023
Sorption from Solution: A Statistical Thermodynamic Fluctuation Theory.
Article in Langmuir : the ACS journal of surfaces and colloids, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Adsorption of Forever Chemical Pollutants: The Physical Chemistry of PFAS Near Surfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Surface Tension Isotherms: Reconceptualizing Adsorption, Self-Assembly, and Micelle Formation via the Fluctuation Theory.Langmuir : the ACS journal of surfaces and colloids · 2026Article
- Gas and Liquid Isotherms: The Need for a Common Foundation.Langmuir : the ACS journal of surfaces and colloids · 2025Review
- Synergistic Solvation as the Enhancement of Local Mixing.The journal of physical chemistry. B · 2024Article
- Sorption Hysteresis: A Statistical Thermodynamic Fluctuation Theory.Langmuir : the ACS journal of surfaces and colloids · 2024Article
- Replacing the Langmuir Isotherm with the Statistical Thermodynamic Fluctuation Theory.The journal of physical chemistry letters · 2024Review
- Actual Amount Adsorbed as Estimated from the Surface Excess Isotherm.Langmuir : the ACS journal of surfaces and colloids · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Given an experimental solid/solution sorption isotherm, how can we gain insight into the underlying sorption mechanism on a molecular basis? Classifying sorption isotherms, for both completely and partially miscible solvent/sorbate systems, has been useful, yet the molecular foundation of these classifications remains speculative. Isotherm models, developed predominantly for solid/gas sorption, have been adapted to solid/solution isotherms, yet how their parameters should be interpreted physically has long remained ambiguous. To overcome the inconclusiveness, we establish in this paper a universal theory that can be used for interpreting and modeling solid/solution sorption. This novel theory shares the same theoretical foundation (i.e., the statistical thermodynamic fluctuation theory) not only with solid/gas sorption but also with solvation in liquid solutions and solution nonidealities. The key is the Kirkwood-Buff χ parameter, which quantifies the net self-interaction (i.e., solvent-solvent and sorbate-sorbate interactions minus solvent-sorbate interaction) via the Kirkwood-Buff integral in the same manner as the solvation theory and, unlike the Flory χ, is not limited to the lattice model. We will demonstrate that the Kirkwood-Buff χ is the key not only to isotherm classification but also to generalizing our recent statistical thermodynamic gas (vapor) isotherm, which is capable of fitting most of the solid/solution isotherm types.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.