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

Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

1.6K
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
1.6K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

166
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
166
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

186
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
186
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

543
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
543
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

267
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
267
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

221
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
221

You might also read

Related Articles

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

Sort by
Same author

Kinetics of elastic recovery in roll compaction.

International journal of pharmaceutics: X·2024
Same author

Corrigendum to "Evaluation of binders in twin-screw wet granulation - Optimization of tabletability" [Int. J. Pharm. 659 (2024) 124290].

International journal of pharmaceutics·2024
Same author

Correction: Croscarmellose Sodium as Pelletization Aid in Extrusion-Spheronization.

AAPS PharmSciTech·2024
Same author

Systematic investigation of the impact of screw elements in continuous wet granulation.

International journal of pharmaceutics: X·2024
Same author

Towards the prediction of barrel fill level in twin-screw wet granulation.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V·2024
Same author

Proof of a LOD prediction model with orthogonal PAT methods in continuous wet granulation and drying.

Journal of pharmaceutical sciences·2024

Related Experiment Video

Updated: Nov 22, 2025

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation
09:28

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation

Published on: May 18, 2020

9.0K

Model predictive control in pharmaceutical continuous manufacturing: A review from a user's perspective.

Morgane Jelsch1, Yves Roggo1, Peter Kleinebudde2

  • 1Novartis Pharma AG, Basel, Switzerland.

European Journal of Pharmaceutics and Biopharmaceutics : Official Journal of Arbeitsgemeinschaft Fur Pharmazeutische Verfahrenstechnik E.V
|January 11, 2021
PubMed
Summary
This summary is machine-generated.

Pharmaceutical continuous manufacturing utilizes advanced automation and soft sensors for enhanced quality control. Model predictive control offers a promising strategy for smart manufacturing, enabling Industry 4.0 integration and ensuring product quality.

Keywords:
Continuous manufacturingControl strategyModel predictive controlPIDReceding horizon

More Related Videos

Nutrient Regulation by Continuous Feeding for Large-scale Expansion of Mammalian Cells in Spheroids
11:01

Nutrient Regulation by Continuous Feeding for Large-scale Expansion of Mammalian Cells in Spheroids

Published on: September 25, 2016

8.0K
Author Spotlight: Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies
09:30

Author Spotlight: Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies

Published on: March 17, 2023

4.1K

Related Experiment Videos

Last Updated: Nov 22, 2025

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation
09:28

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation

Published on: May 18, 2020

9.0K
Nutrient Regulation by Continuous Feeding for Large-scale Expansion of Mammalian Cells in Spheroids
11:01

Nutrient Regulation by Continuous Feeding for Large-scale Expansion of Mammalian Cells in Spheroids

Published on: September 25, 2016

8.0K
Author Spotlight: Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies
09:30

Author Spotlight: Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies

Published on: March 17, 2023

4.1K

Area of Science:

  • Pharmaceutical manufacturing
  • Process control engineering
  • Automation technology

Background:

  • Pharmaceutical continuous manufacturing is an emerging technology guided by quality risk management.
  • It enables the Quality-by-Design paradigm, moving towards Quality-by-Control and smart manufacturing.
  • Soft sensors are crucial for maintaining drug product quality attributes and mitigating deviations.

Purpose of the Study:

  • To review challenges in implementing advanced automation in pharmaceutical continuous manufacturing.
  • To present and compare automation control strategies, including PID and Model Predictive Control (MPC).
  • To outline industrial applications of MPC in pharmaceutical continuous manufacturing.

Main Methods:

  • Review of current automation control tools (e.g., PID controllers).
  • Discussion and comparison with advanced control techniques, focusing on Model Predictive Control (MPC).
  • Gathering simulation studies and real industrial implementations of MPC.

Main Results:

  • Model Predictive Control (MPC) shows significant promise as an advanced automation concept.
  • MPC enables precise control of quality attributes, aligning with regulatory standards.
  • Applications range from single unit operations (tablet press) to full direct compaction lines.

Conclusions:

  • Model Predictive Control (MPC) is a key technology for advancing pharmaceutical continuous manufacturing.
  • MPC facilitates the transition to smart manufacturing and Industry 4.0.
  • Successful industrial applications demonstrate MPC's capability in real-world pharmaceutical production.