AIMC Topic: Hydrogen-Ion Concentration
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Measurement and ANN prediction of pH-dependent solubility of nitrogen-heterocyclic compounds.
Chemosphere
May 15, 2015
Based on the solubility of 25 nitrogen-heterocyclic compounds (NHCs) measured by saturation shake-flask method, artificial neural network (ANN) was employed to the study of the quantitative relationship between the structure and pH-dependent solubili...
Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes.
Bioprocess and biosystems engineering
Jan 1, 2015
Currently, mammalian cells are the most utilized hosts for biopharmaceutical production. The culture media for these cell lines include commonly in their composition a pH indicator. Spectroscopic techniques are used for biopharmaceutical process moni...
Comparison of ultrasonic with stirrer performance for removal of sunset yellow (SY) by activated carbon prepared from wood of orange tree: artificial neural network modeling.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Nov 13, 2014
The present work focused on the removal of sunset yellow (SY) dye from aqueous solution by ultrasound-assisted adsorption and stirrer by activated carbon prepared from wood of an orange tree. Also, the artificial neural network (ANN) model was used f...
Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms.
New biotechnology
Sep 16, 2014
We investigated the bioremoval of Cd(II) in batch mode, using dead and living biomass of Trichoderma viride. Kinetic studies revealed three distinct stages of the biosorption process. The pseudo-second order model and the Langmuir model described wel...
Artificial neural network (ANN) method for modeling of sunset yellow dye adsorption using zinc oxide nanorods loaded on activated carbon: Kinetic and isotherm study.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Jun 24, 2014
In this research, ZnO nanoparticle loaded on activated carbon (ZnO-NPs-AC) was synthesized simply by a low cost and nontoxic procedure. The characterization and identification have been completed by different techniques such as SEM and XRD analysis. ...
Toward Noninvasive High-Resolution In Vivo pH Mapping in Brain Tumors by P-Informed deepCEST MRI.
NMR in biomedicine
Jun 1, 2025
The intracellular pH (pH) is critical for understanding various pathologies, including brain tumors. While conventional pH measurement through P-MRS suffers from low spatial resolution and long scan times, H-based APT-CEST imaging offers higher resol...
Decoding the role of the arginine dihydrolase pathway in shaping human gut community assembly and health-relevant metabolites.
Cell systems
May 21, 2025
The arginine dihydrolase pathway (arc operon) provides a metabolic niche by transforming arginine into metabolic byproducts. We investigate the role of the arc operon in probiotic Escherichia coli Nissle 1917 on human gut community assembly and healt...
A stretchable, adhesive, and wearable hydrogel-based patches based on a bilayer PVA composite for online monitoring of sweat by artificial intelligence-assisted smartphones.
Talanta
May 15, 2025
Real-time monitoring of sweat using wearable devices faces challenges such as limited adhesion, mechanical flexibility, and accurate detection. In this work, we present a stretchable, adhesive, bilayer hydrogel-based patch designed for continuous mon...
Optimization process of coffee pulp wines combined with the artificial neural network and response surface methodology.
Scientific reports
May 14, 2025
Coffee pulp wine was made from coffee pulp. The level range of fermentation factors was determined by one-factor experiment. The significance factors affecting fermentation were screened by Plackett-Burman and steepest climbing experiments, which wer...
Seq2Topt: a sequence-based deep learning predictor of enzyme optimal temperature.
Briefings in bioinformatics
Mar 4, 2025
An accurate deep learning predictor is needed for enzyme optimal temperature (${T}_{opt}$), which quantitatively describes how temperature affects the enzyme catalytic activity. In comparison with existing models, a new model developed in this study,...
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