AIMC Topic: Surface-Active Agents

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Machine Learning Based Quantitative Structure-Dissolution Profile Relationship.

Journal of chemical information and modeling Jun 5, 2025
Determining accurate drug dissolution processes in the gastrointestinal tract is critical in drug discovery as dissolution profiles provide essential information for estimating the bioavailability of orally administered drugs. While various methods h...
Solubility Sodium Dodecyl Sulfate Quantitative Structure-Activity Relationship Neural Networks, Computer Surface-Active Agents Pharmaceutical Preparations Machine Learning
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Edible aquatic robots with Marangoni propulsion.

Nature communications May 7, 2025
Centimeter-scale aquatic robots could be used in environmental monitoring, exploration, and intervention in aquatic environments. However, existing robots rely on artificial polymers and commercial electronic components, which can pollute and disrupt...
Fishes Robotics Surface-Active Agents Animals
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Mapping human fingerprint beyond level-3 based on an amphiphilic aggregation-induced emission luminogen and the construction of intelligent platform for personal identification.

Analytica chimica acta Mar 10, 2025
BACKGROUND: Fluorescence imaging agents have been benefiting tremendously from tailor-made aggregation-induced emission (AIE) luminogens, owing to their high on-off ratio, large signal contrast, low background noise as well as the resistance to photo...
Optical Imaging Dermatoglyphics Humans Surface-Active Agents Fluorescent Dyes Aldehydes
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Machine learning strengthened formulation design of pharmaceutical suspensions.

International journal of pharmaceutics Nov 19, 2024
Many different formulation strategies have been investigated to oppose suboptimal treatment of long-term or chronic conditions, one of which are the nano- and microsuspensions prepared as long-acting injectables to prolong the release of an active ph...
Particle Size Surface-Active Agents Machine Learning Nanoparticles Drug Compounding Chemistry, Pharmaceutical Excipients Polymers Drug Stability Suspensions
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Collaboration of bacterial consortia for biodegradation of high concentration phenol and potential application of machine learning.

Chemico-biological interactions Jul 17, 2024
Mixed culture of microorganisms is an effective method to remove high concentration of phenol in wastewater. At present, it is still a challenge for microorganisms to remove high-concentration phenol from wastewater. In this study, a phenol-degrading...
Water Pollutants, Chemical Surface-Active Agents Microbial Consortia Phenol Biodegradation, Environmental Machine Learning Bacteria Neural Networks, Computer
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Screening structure and predicting toxicity of pesticide adjuvants using molecular dynamics simulation and machine learning for minimizing environmental impacts.

The Science of the total environment Jun 6, 2024
Surfactants as synergistic agents are necessary to improve the stability and utilization of pesticides, while their use is often accompanied by unexpected release into the environment. However, there are no efficient strategies available for screenin...
Octoxynol Water Pollutants, Chemical Machine Learning Surface-Active Agents Molecular Dynamics Simulation Animals Zebrafish Pesticides
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Nonionic surfactant Tween 80-facilitated bacterial transport in porous media: A nonmonotonic concentration-dependent performance, mechanism, and machine learning prediction.

Environmental research Mar 16, 2024
The surfactant-enhanced bioremediation (SEBR) of organic-contaminated soil is a promising soil remediation technology, in which surfactants not only mobilize pollutants, but also alter the mobility of bacteria. However, the bacterial response and und...
Soil Microbiology Soil Pollutants Porosity Biodegradation, Environmental Surface-Active Agents Machine Learning Pseudomonas aeruginosa Polysorbates
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What is the impact of intraperitoneal surfactant administration against postoperative intraabdominal adhesion formation? an experimental study.

Turkish journal of medical sciences Nov 25, 2023
BACKGROUND/AIM: Surfactant is a surface-active substance that, in addition to its detergent effect, also has effects that reduce inflammation and fibrosis. Because of these effects, it was aimed herein to investigate the effect of intraperitoneal sur...
Injections, Intraperitoneal Uterus Postoperative Complications Tissue Adhesions Rats Female Surface-Active Agents Rats, Wistar Animals Disease Models, Animal
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Modeling biosurfactant production from agroindustrial residues by neural networks and polynomial models adjusted by particle swarm optimization.

Environmental science and pollution research international Aug 23, 2022
Biosurfactants are molecules with wide application in several industrial processes. Their production is damaged due to inefficient bioprocessing and expensive substrates. The latest developments of strategies to improve and economize the biosurfactan...
Surface-Active Agents Models, Statistical Bioreactors Neural Networks, Computer Artificial Intelligence
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Prediction of nanoscale thermal transport and adsorption of liquid containing surfactant at solid-liquid interface via deep learning.

Journal of colloid and interface science Jan 12, 2022
HYPOTHESIS: Recent advances in deep learning (DL) have enabled high level of real-time prediction of thermophysical properties of materials. On the other hand, molecular dynamics (MD) have been long used as a numerical microscope to observe detailed ...
Neural Networks, Computer Pulmonary Surfactants Deep Learning Adsorption Surface-Active Agents
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