process analytical technology Archives

High-Shear Wet Granulation Endpoint Detection: What Power Consumption Signals Actually Tell You
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High-Shear Wet Granulation Endpoint Detection: What Power Consumption Signals Actually Tell You

Agglomeration, Analytical Techniques and Methods, Granulation, Granules, Insights, Mixing technology, Pharmaceutical Industry

High-Shear Wet Granulation Endpoint Detection: What Power Consumption Signals Actually Tell You

The power or torque trace in high-shear wet granulation rises and plateaus as granules consolidate, but the signal is a supporting process indicator, not a direct particle size measurement, and its interpretation is bounded by batch size, impeller geometry, and formulation.

By Martijn Daalder|2026-09-05T08:43:48+01:005 September 2026|Categories: Agglomeration, Analytical Techniques and Methods, Granulation, Granules, Insights, Mixing technology, Pharmaceutical Industry|Tags: granulation endpoint detection, granule consolidation, high-shear wet granulation, impeller torque, power consumption profile, process analytical technology, scale-up, wet massing|0 Comments

Spray Drying 4.0: Real-Time PAT, AI Process Control, and What Engineers Actually Gain

Process analytical technology combined with machine learning is changing residual moisture control and yield prediction in pharmaceutical and food spray drying. The gains are real but bounded, and the off-line test panel has not been replaced.

Real-Time Particle Characterization and Process Control
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Real-Time Particle Characterization and Process Control

AI, Analytical Techniques and Methods, Conveying, Feature Article, Flowability, Particle Size Testing

Real-Time Particle Characterization and Process Control

Real-time particle characterization is moving powder processing from [...]

$AI-assisted material characterization: laser diffraction setup analyzes a powder stream with a camera and PSD histogram on a lab monitor.$

Material Characterization with AI-Assisted Analytics
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Material Characterization with AI-Assisted Analytics

AI, Bulk Solids Characterization, Feature Article, Microscopy, Particle size distribution, Particle Size Testing, Sustainability

Material Characterization with AI-Assisted Analytics

AI-assisted material characterization speeds testing, strengthens models, and [...]

By Stephane Sloots|2026-04-18T10:27:57+01:0020 September 2025|Categories: AI, Bulk Solids Characterization, Feature Article, Microscopy, Particle size distribution, Particle Size Testing, Sustainability|Tags: additive manufacturing powders, AI assisted material characterization, Battery materials, calibration, Carbon Footprint, computer vision, convolutional neural networks, data governance, DEM calibration, digital twins, Energy Efficiency, heat pump retrofits, hyperspectral imaging, inline quality control, machine learning, MLOps, model predictive control, multimodal data fusion, near-infrared spectroscopy, NIR, NMC cathodes, particle size distribution, pharmaceutical manufacturing, powder flowability, powder segregation, process analytical technology, real time release testing, rheology, SEM imaging, sensor drift, speckle imaging, spray drying, sustainability, XRD, XRF spectroscopy|0 Comments