AIMC Topic: Viscosity

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Physics-based surface patch analysis for prediction of hydrophobic contribution to viscosity of mAbs.

mAbs
The viscosity of monoclonal antibody solutions is critical in their biopharmaceutical application, as it directly influences the ease of subcutaneous injection. Although many descriptors have been developed to enable the prediction of viscosity, the...

Robotic manipulation of human bipedalism reveals overlapping internal representations of space and time.

Science robotics
Effective control of bipedal postures relies on sensory inputs from the past, which encode dynamic changes in the spatial properties of our movement over time. To uncover how the spatial and temporal properties of an upright posture interact in the p...

Engineering the Future: Applying Hyaluronic Acid Filler Rheology for Enhanced Efficacy in Aesthetic Applications.

Plastic and reconstructive surgery
The 21st-century evolution of hyaluronic acid fillers has brought a diversity of novel aesthetic applications, ranging from static bony augmentation and volume correction to dynamic rhytid effacement and skin revitalization. This rapid advancement ha...

Miniaturized Fiber-End Probe for Laser Speckle Rheology of Atherosclerotic Plaque.

ACS applied materials & interfaces
Atherosclerosis is a primary cause of cardiovascular disease, with plaque viscoelasticity reflecting mechanical properties related to stability and acute event risk. However, existing viscoelastic measurement devices struggle to meet intravascular mi...

Multi-functionalities of citric acid assisted thermal hydrolysis for sludge pretreatment: A novel method assisting in sludge treatment targeting multiple-objectives.

Journal of hazardous materials
Pretreatment is essential for enhancing sludge treatment efficiency, including anaerobic digestion, phosphorus recovery, sludge dewatering, and heavy metal removal. However, few techniques simultaneously address multiple treatment objectives. In this...

Identification of natural food-derived emulsifiers using QSAR and machine learning: Application in dairy emulsions.

Food chemistry
Emulsifiers maintain the stability of emulsions, and milk protein-formed emulsions are unstable. Hence, efficient ways to screen food-derived compounds need to be identified. This study combined molecular descriptors with machine learning algorithms ...

A machine learning model exploring creep performance of dental composites.

Dental materials : official publication of the Academy of Dental Materials
OBJECTIVES: Viscoelastic creep behaviour of RBCs determines their dimensional stability and thus contributes to their clinical performance. However, due to complex material compositional variations and differing testing protocols, comparing and analy...

Predicting rheological properties of HAMA/GelMA hybrid hydrogels via machine learning.

Journal of the mechanical behavior of biomedical materials
- Rheological properties are pivotal in determining the printability of biomaterials, directly impacting the success of 3D bioprinted constructs. Understanding the intricate relationship between biomaterial formulations, rheological behavior and prin...

Liquid-bodied antibiofilm robot with switchable viscoelastic response for biofilm eradication on complex surface topographies.

Science advances
Recalcitrant biofilm infections pose a great challenge to human health. Micro- and nanorobots have been used to eliminate biofilm infections in hard-to-reach regions inside the body. However, applying antibiofilm robots under physiological conditions...

Extraction of pectin from watermelon rinds using sequential ultrasound-microwave technique: Optimization using RSM and ANN modeling and characterization.

International journal of biological macromolecules
This study aimed to optimize pectin extraction from watermelon (Citrullus lanatus) rind using sequential ultrasound-microwave assisted extraction (UMAE) with artificial neural network (ANN) and response surface methodology (RSM). The effects of pH, s...