AIMC Topic: Particle Size
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Size Control in the Nanoprecipitation Process of Stable Iodine (¹²⁷I) Using Microchannel Reactor-Optimization by Artificial Neural Networks.
AAPS PharmSciTech
Feb 6, 2015
In this study, nanosuspension of stable iodine ((127)I) was prepared by nanoprecipitation process in microfluidic devices. Then, size of particles was optimized using artificial neural networks (ANNs) modeling. The size of prepared particles was eval...
Online monitoring and control of particle size in the grinding process using least square support vector regression and resilient back propagation neural network.
ISA transactions
Dec 17, 2014
Particle size soft sensing in cement mills will be largely helpful in maintaining desired cement fineness or Blaine. Despite the growing use of vertical roller mills (VRM) for clinker grinding, very few research work is available on VRM modeling. Thi...
Comparison of novel granulated pellet-containing tablets and traditional pellet-containing tablets by artificial neural networks.
Pharmaceutical development and technology
Apr 24, 2014
Novel granulated pellets technique was adopted to prepare granulated pellet-containing tablets (GPCT). GPCT and traditional pellet-containing tablets (PCT) were prepared according to 29 formulations devised by the Design Expert 7.0, with doxycycline ...
Assessing subvisible particle risks in monoclonal antibodies: insights from quartz crystal microbalance with dissipation, machine learning, and in silico analysis.
mAbs
Dec 1, 2025
Throughout the lifecycle of biopharmaceutical development and manufacturing, monoclonal antibodies (mAbs) are subjected to diverse interfacial stresses and encounter various container surfaces. These interactions can cause the formation of subvisible...
Anticoagulation colloidal microrobots based on heparin-mimicking polymers.
Journal of colloid and interface science
Aug 1, 2025
Coagulation within blood vessels is a major cause of cardiovascular disease and global mortality, highlighting the urgent need for effective anticoagulant strategies. In this study, we introduce a dynamic and highly efficient anticoagulant platform, ...
Machine Learning-Driven Multi-Emission Fluorescence Array for Simultaneous Size Discrimination and Quantification of Gold Nanoparticles.
Analytical chemistry
Jul 1, 2025
Gold nanoparticles (AuNPs) exhibit size-dependent environmental behaviors and bioaccumulation risks, necessitating precise characterization of their hydrodynamic dimensions and concentrations for toxicity assessment. Existing analytical platforms are...
Identification and Classification of Functional Split G-Quadruplexes Using Machine Learning-Guided Activity Screening.
ACS applied bio materials
Jun 16, 2025
Split G-quadruplexes are considered excellent tools for biosensing and diagnostics, but splitting G-quadruplexes may often lead to a loss of function, limiting their effectiveness. This study aims to identify and classify functional split G-quadruple...
Exploring nanoparticles in lungs under COPD conditions for nanospray drug flow and deposition: CFD simulations and AI predictions.
International journal of pharmaceutics
Jun 10, 2025
Chronic obstructive pulmonary disease (COPD) plays a heavy burden on individuals and the social health system, not only causing direct medical costs but also economic losses. Today, treatments for COPD include drugs, bronchodilators, and oxygen thera...
Unsupervised Adaptive Deep Learning Framework for Video Denoising in Light Scattering Imaging.
Analytical chemistry
Jun 3, 2025
Light scattering is a powerful tool that has been widely applied in various scenarios, such as nanoparticle analysis, single-cell measurement, and blood flow monitoring. However, noise is always a concerning and challenging issue in light scattering ...
The Application of Anisotropically Collapsing Gels, Deep Learning, and Optical Microscopy for Chemical Characterization of Nanoparticles and Nanoplastics.
Langmuir : the ACS journal of surfaces and colloids
Jun 3, 2025
The surface chemistry of nanomaterials, particularly the density of functional groups, governs their behavior in applications such as bioanalysis, bioimaging, and environmental impact studies. Here, we report a precise method to quantify carboxyl gro...
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