Prediction of thermodynamic properties of aqueous carbohydrates solution using the PHSC and ANN models

Prediction of thermodynamic properties of aqueous carbohydrates solution using the PHSC and ANN models

Abstract In this work the Artificial Neural Network (ANN) and the Perturbed Hard Sphere Chain (PHSC) equation of state (EoS) have been utilized to estimate the osmotic coefficient, activity coefficient, and water activity of aqueous sugar solutions containing glucose, fructose, fucose, xylose, malto...

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Main Authors: Soud Khalil Ibrahim, Rafid Jihad Albadr, Dharmesh Sur, Anupam Yadav, Soumya V. Menon, Debasish Shit, S. Supriya, Rajashree Panigrahi, Waam Mohammed Taher, Mariem Alwan, Mahmood Jasem Jawad, Hiba Mushtaq
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Carbohydrate
PHSC
Equation of state
Artificial neural network
Machine learning
Activity coefficient
Online Access:https://doi.org/10.1038/s41598-025-06552-2
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https://doi.org/10.1038/s41598-025-06552-2

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