AIMC Topic: Hydrogen-Ion Concentration

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Bayesian Optimization for Efficient Multiobjective Formulation Development of Biologics.

Molecular pharmaceutics
Biologics, including emerging engineered formats, can often exhibit poor developability profiles, complicating their translation into successful therapeutics. While formulation design can substantially mitigate some developability issues, it represen...

Tile-Based Fisher Ratio Analysis with Support Vector Machine Regression Modeling of GC×GC-TOFMS Data of VOCs Produced by Grown at Variable pHs.

Analytical chemistry
yeasts are commensal microorganisms found in human and animal skin. Species of have been connected to skin and opportunistic infections, where certain microenvironmental conditions are required in the host for the pathogenic processes to occur. We ...

Comparative analysis of multiple machine learning models: identifying impact factors in biochar heavy metal adsorption mechanisms.

Environmental geochemistry and health
The contribution analysis of influencing factors governing biochar-mediated heavy metal adsorption in aqueous systems holds significant implications for cost-effective water remediation. Current studies predominantly rely on single-model approaches t...

Accurate modeling and simulation of the effect of bacterial growth on the pH of culture media using artificial intelligence approaches.

Scientific reports
This research investigates the impact of bacterial growth on the pH of culture media, emphasizing its significance in microbiological and biotechnological applications. A range of sophisticated artificial intelligence methods, including One-Dimension...

A Machine Learning-Based Modeling Approach for Dye Removal Using Modified Natural Adsorbents.

Journal of chemical information and modeling
This study used machine learning models to investigate the potential of biosorbents derived from natural fruit seed waste (apricot, almond, and walnut) for removing a cationic dye. Levulinic acid (LA)-modified powders of almond shell (ASh), apricot k...

Bacillus subtilis morphology and bentonite colloids govern Eu(III) transport in quartz sand: Mechanisms and machine learning insights.

Journal of hazardous materials
Microorganisms critically regulate radionuclide migration through diverse biological mechanisms. Bacillus subtilis (B. subtilis) exhibits strong adsorption capacity, immobilizing radionuclides and limiting their mobility. By contrast, biological coll...

Automated seafood freshness detection and preservation analysis using machine learning and paper-based pH sensors.

Scientific reports
Seafood, including fish, prawns and various marine products, is a critical component of global nutrition due to its high protein content, essential fatty acids, vitamins and minerals. Traditional methods for assessing seafood freshness such as sensor...

TTI and pH-responsive dual colorimetric sensor arrays combined with a cascaded deep learning approach for dynamic monitoring of freshness of fresh-cut fruits.

Food chemistry
Dynamic shelf-life monitoring of fresh-cut fruits faces challenges from temperature fluctuations and packaging failures in cold chains, causing discrepancies between theoretical predictions and actual spoilage. This study developed a dual colorimetri...

Predicting the Effects of Charge Mutations on the Second Osmotic Virial Coefficient for Therapeutic Antibodies via Coarse-Grained Molecular Simulations and Deep Learning Methods.

Molecular pharmaceutics
The impact of various charge mutations on the second osmotic virial coefficient was examined for three model therapeutic monoclonal antibodies (MAbs) at representative formulation pH values by using coarse-grained (CG) molecular modeling. The wild-ty...

A modular fluorescent camera unit for wound imaging.

Communications biology
Advanced imaging tools are revolutionizing the diagnosis, treatment, and monitoring of medical conditions, offering unprecedented insights into live cell behavior and biophysical markers. We introduce a modular, hand-held fluorescent microscope featu...