AIMC Topic: Rheology
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Application of rheology to hot melt extrusion: Theory and practice.
International journal of pharmaceutics
May 29, 2025
Hot melt extrusion (HME) has become a key manufacturing method in the pharmaceutical industry for developing novel drug delivery systems, due to its solvent-free nature, ease of operation, and ability to achieve one-step molding and continuous proces...
Deep learning-assisted 10-μL single droplet-based viscometry for human aqueous humor.
Biosensors & bioelectronics
May 2, 2025
Probing the viscosity of human aqueous humor is crucial for optimizing micro-tube shunts in glaucoma treatment. However, conventional viscometers are not suitable for aqueous humor due to the limited sample volume-only tens of microliters-that can be...
Biofabrication of HepG2 Cells-Laden 3D Structures Using Nanocellulose-Reinforced Gelatin-Based Hydrogel Bioinks: Materials Characterization, Cell Viability Assessment, and Metabolomic Analysis.
ACS biomaterials science & engineering
Apr 16, 2025
The successful replication of the intricate architecture of human tissues remains a major challenge in the biomedical area. Three-dimensional (3D) bioprinting has emerged as a promising approach for the biofabrication of living tissue analogues, taki...
Deep learning combined Monte Carlo simulation reveal the fundamental light propagation in apple puree: Monitoring the quality changes from different cultivar, storage period and heating duration.
Food research international (Ottawa, Ont.)
Feb 21, 2025
This work explored the light propagation of purees from a large variability of apple cultivar, storage period and heating duration based on their optical absorption (μ) and reduced scattering (μ') properties at 900-1650 nm, in order to better monitor...
Sensory-biased autoencoder enables prediction of texture perception from food rheology.
Food research international (Ottawa, Ont.)
Feb 15, 2025
Understanding how the physical properties of food affect sensory perception remains a critical challenge for food design. Here, we present an innovative machine learning strategy to decode the complex relationships between non-Newtonian rheological a...
High-resolution hemodynamic estimation from ultrafast ultrasound image velocimetry using a physics-informed neural network.
Physics in medicine and biology
Jan 9, 2025
Estimating the high-resolution (HR) blood flow velocity and pressure fields for the diagnosis and treatment of vascular diseases remains challenging.. In this study, a physics-informed neural network (PINN) with a refined mapping capability was combi...
Comprehensive review of dysphagia and technological advances in dysphagia food.
Food research international (Ottawa, Ont.)
Nov 19, 2024
As the global population ages, dysphagia is becoming increasingly common among the elderly, posing serious risks such as choking, aspiration pneumonia, and even death. Leveraging advanced technologies to develop specialized food products for those wi...
Rheological modelling of apple puree based on machine learning combined Monte Carlo simulation: Insight into the fundamental light- particle structure interaction processes.
Food chemistry
Oct 10, 2024
In this work, apple purees from different particle concentration and verifying in size were reconstituted to investigate their impacts on rheological behaviors, optical properties and light interaction at 900-1650 nm. The optical scattering of differ...
Encoding spatiotemporal asymmetry in artificial cilia with a ctenophore-inspired soft-robotic platform.
Bioinspiration & biomimetics
Sep 20, 2024
A remarkable variety of organisms use metachronal coordination (i.e. numerous neighboring appendages beating sequentially with a fixed phase lag) to swim or pump fluid. This coordination strategy is used by microorganisms to break symmetry at small s...
Novel strategy for optimizing of corn starch-based ink food 3D printing process: Printability prediction based on BP-ANN model.
International journal of biological macromolecules
Jul 20, 2024
Although starch has been intensively studied as a raw material for 3D printing, the relationship between several important process parameters in the preparation of starch gels and the printing results is unclear. In this study, the relationship betwe...
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