Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Factors Influencing Drug Absorption: Pharmaceutical Parameters01:28

Factors Influencing Drug Absorption: Pharmaceutical Parameters

129
Solid dosage forms such as tablets and capsules undergo rigorous manufacturing processes to ensure stability and effectiveness. Their dissolution and absorption properties are influenced significantly by the choice of excipients (inactive ingredients that serve various roles in the formulation), and the methodology applied during production. The manufacturing parameters, such as compression force and granulation techniques, significantly affect dissolution rates. Elevated compression forces...
129
Factors Affecting Dissolution: Polymorphism, Amorphism and Pseudopolymorphism01:21

Factors Affecting Dissolution: Polymorphism, Amorphism and Pseudopolymorphism

295
Polymorphism refers to the existence of a drug substance in multiple crystalline forms, known as polymorphs. Recently, this term has been expanded to include solvates (forms containing a solvent), amorphous forms (non-crystalline forms), and desolvated solvates (forms from which the solvent has been removed).
Some polymorphic crystals possess lower aqueous solubility than their amorphous counterparts, leading to incomplete absorption. For instance, the oral suspension of Chloramphenicol, which...
295
Factors Affecting Dissolution: Particle Size and Effective Surface Area01:23

Factors Affecting Dissolution: Particle Size and Effective Surface Area

798
Dissolution kinetics, an essential aspect of oral drug delivery, is significantly influenced by the drug's particle size. According to the Noyes-Whitney dissolution model, the dissolution rate correlates directly with the drug's surface area. The larger the surface area, the higher the drug's solubility in water, leading to a faster drug dissolution rate. Reducing particle size increases the effective surface area, enhancing the dissolution process. Micronization and nanosizing are...
798
Factors Influencing Drug Absorption: Physicochemical Parameters01:22

Factors Influencing Drug Absorption: Physicochemical Parameters

256
The physicochemical characteristics of drugs play a crucial role in formulating stable and bioavailable drug products. The solubility of a drug, governed by the varying pH along the GI tract and its dissociation constant (pKa), is pivotal in determining its ionization state and absorption rate. Notably, weak acids and bases remain unionized and are absorbed more rapidly.
Enhanced drug absorption can be achieved by reducing particle sizes and increasing surface areas, thereby facilitating...
256

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Advancing Positron Imaging with Alginate-Based Tracers: Design, Synthesis, and Radiolabelling Methods.

MethodsX·2026
Same author

Revisiting strain rate sensitivity: the role of feed frame-induced lubrication in tablet tensile strength loss during scale-up.

International journal of pharmaceutics·2026
Same author

A topological approach to positron emission particle tracking for finding multiple particles in high noise environments.

Scientific reports·2025
Same author

Using in-line measurement and statistical analyses to predict tablet properties compressed using a Styl'One compaction simulator: A high shear wet granulation study.

International journal of pharmaceutics·2024
Same author

Ten years of the manufacturing classification system: a review of literature applications and an extension of the framework to continuous manufacture.

Pharmaceutical development and technology·2024
Same author

Determining the Impact of Roller Compaction Processing Conditions on Granulate and API Properties: Impact of Formulation API Load.

AAPS PharmSciTech·2024

Related Experiment Video

Updated: Jun 22, 2025

Formation of Dispersible Taohong Siwu Tablets
05:44

Formation of Dispersible Taohong Siwu Tablets

Published on: February 3, 2023

1.6K

Predicting tablet properties using In-Line measurements and evolutionary equation Discovery: A high shear wet

Issa Munu1, Andrei L Nicusan2, Jason Crooks3

  • 1School of Chemical Engineering, The University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK; GSK Global Supply Chain, Priory St, Ware SG12 0DJ, UK.

International Journal of Pharmaceutics
|July 1, 2024
PubMed
Summary
This summary is machine-generated.

Inline force measurements during high shear wet granulation (HSWG) can predict tablet properties. This method offers real-time process control for tablet manufacturing, improving efficiency and minimizing waste.

Keywords:
Artificial intelligence (AI)CompressionGranulationMachine learning (ML)ModelPredictionProcess analytical technology (PAT)

More Related Videos

Author Spotlight: Process Development for the Spray-Drying of Probiotic Bacteria and Evaluation of the Product Quality
05:45

Author Spotlight: Process Development for the Spray-Drying of Probiotic Bacteria and Evaluation of the Product Quality

Published on: April 7, 2023

3.3K
High Throughput Traction Force Microscopy Using PDMS Reveals Dose-Dependent Effects of Transforming Growth Factor-β on the Epithelial-to-Mesenchymal Transition
13:34

High Throughput Traction Force Microscopy Using PDMS Reveals Dose-Dependent Effects of Transforming Growth Factor-β on the Epithelial-to-Mesenchymal Transition

Published on: June 1, 2019

9.5K

Related Experiment Videos

Last Updated: Jun 22, 2025

Formation of Dispersible Taohong Siwu Tablets
05:44

Formation of Dispersible Taohong Siwu Tablets

Published on: February 3, 2023

1.6K
Author Spotlight: Process Development for the Spray-Drying of Probiotic Bacteria and Evaluation of the Product Quality
05:45

Author Spotlight: Process Development for the Spray-Drying of Probiotic Bacteria and Evaluation of the Product Quality

Published on: April 7, 2023

3.3K
High Throughput Traction Force Microscopy Using PDMS Reveals Dose-Dependent Effects of Transforming Growth Factor-β on the Epithelial-to-Mesenchymal Transition
13:34

High Throughput Traction Force Microscopy Using PDMS Reveals Dose-Dependent Effects of Transforming Growth Factor-β on the Epithelial-to-Mesenchymal Transition

Published on: June 1, 2019

9.5K

Area of Science:

  • Pharmaceutical Manufacturing
  • Process Analytical Technology (PAT)
  • Granulation Engineering

Background:

  • High shear wet granulation (HSWG) is crucial for tablet manufacturing, enhancing powder properties and process efficiency.
  • In-line process analytical technology (PAT) is vital for real-time monitoring of granulation dynamics and process control.
  • Traditional methods often lack the sensitivity to capture the intricate details of granule formation.

Purpose of the Study:

  • To investigate the use of in-line force measurements as a sensitive indicator for predicting granule and tablet properties during HSWG.
  • To develop a predictive model for tablet tensile strength based on real-time granulation data.
  • To explore the advantages of a closed-form analytical model for process control compared to AI methodologies.

Main Methods:

  • Utilized a novel force probe for in-line measurement of powder bed dynamics during HSWG.
  • Employed a face-centered surface response design of experiments (DoE) to explore key process parameters.
  • Developed a closed-form analytical model using discovery of evolutionary equations from DoE data.

Main Results:

  • In-line force measurements proved more sensitive to granulation processes than torque measurements.
  • Characteristic force profiles provided a fingerprint of HSWG, revealing granule evolution and binder distribution.
  • The developed closed-form model accurately predicted tablet tensile strength from in-line data.

Conclusions:

  • In-line force sensing offers a powerful tool for understanding and controlling HSWG.
  • The closed-form analytical model enables real-time prediction and process optimization, surpassing limitations of AI methods.
  • This approach facilitates rapid adjustment of compression machine settings for consistent tablet quality and reduced waste.