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Record W4399200837 · doi:10.1139/cjc-2024-0032

Exploring the molecular interactions of dorzolamide hydrochloride in aqueous solutions: a comprehensive study using thermophysical techniques and molecular simulations across various temperatures

2024· article· en· W4399200837 on OpenAlexvenueno aff
Yesupadamu Rayinuthala, David Raju Medepalli, M. Srinivasa Reddy, S. M. Abdul Nayeem, Lakshmi Tulasi Ravulapalli

Bibliographic record

VenueCanadian Journal of Chemistry · 2024
Typearticle
Languageen
FieldChemical Engineering
TopicThermodynamic properties of mixtures
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryAqueous solutionDorzolamideHydrochlorideMolecular dynamicsThermodynamicsComputational chemistryPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

This research begins with the initial assessment of key physical properties—density ( ρ), speed of sound ( u), and refractive index ( n D ) in binary aqueous solutions of dorzolamide hydrochloride. These properties were measured in solutions with varying molalities, ranging from 0.0 to 0.0276, under standard atmospheric conditions and at temperatures between 300.15 and 320.15 K. From these measurements, we were able to calculate a range of important parameters, including the apparent molar volume ( V ϕ ), its limiting values ([Formula: see text]), limiting apparent molar expansivity ([Formula: see text]), Helper’s constant ([Formula: see text]), apparent molar isentropic compression ( κ ϕ ), and its limiting values ([Formula: see text]), specific refraction ( R D ), molar refraction ( R M ), and hydration number ( n h ). These calculated values provided insights into the strong interactions between the solute and solvent in the liquid system. They also shed light on the presence of various molecular interactions, such as inter- and intramolecular hydrogen bonds, dipole–dipole, and dipole-induced-dipole interactions, as well as the ability of the solute to influence the structure of the surrounding water molecules. Additionally, we derived the densities of dorzolamide hydrochloride solutions from molecular dynamics (MD) simulations, which showed a strong correlation with our experimental findings, underscoring the reliability of MD simulations in such studies. In the end, our combined study on dorzolamide hydrochloride in water demonstrates that it shapes structures because it has lower volumetric properties and stronger hydrogen bonds in MD simulations. More alchemical free energy calculations show that there are big changes in solvation energies. This is important for understanding how dorzolamide hydrochloride works in water.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.264
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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