Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Formulation and Manufacturing Process: Physical Attributes of Generic Tablets and Capsules

Formulation and Manufacturing Process: Physical Attributes of Generic Tablets and Capsules

Bioequivalence in generic drugs, such as tablets and capsules, refers to their pharmaceutical equivalence to the brand-name counterparts. However, for therapeutic equivalence, manufacturers must also consider physical attributes like size, shape, and weight (FDA Guidance for Industry, December 2003). Discrepancies in these aspects could impact patient compliance and cause medication errors. For instance, swallowing difficulties, often experienced with larger tablets or capsules, can lead to...

Introduction to Statistical Process Control

Introduction to Statistical Process Control

Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...

Control System Problem

Control System Problem

In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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,...

Combinatorial Gene Control

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...

Control Systems

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...

You might also read

Related Articles

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

Sort by

Same author

Regulatory implementation of Optical Coherence Tomography as an analytical technique in pharmaceutical fillings.

Frontiers in medicine·2026

Same author

Technical and regulatory perspective on acid stage dissolution assessed via optical coherence tomography (Part 2: Stability scenario).

International journal of pharmaceutics·2025

Same author

Formulation optimization and real-time size monitoring in the semi-continuous production of edaravone-loaded lipid-based nanocarriers using the Microfluidizer® technology: Part 2.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences·2025

Same author

Technical and regulatory perspective on acid stage dissolution assessed via optical coherence tomography (Part 1: Release Scenario).

International journal of pharmaceutics·2025

Same author

Process Analytical Strategies for Size Monitoring: Offline, At-Line, Online, and Inline Methods in a Top-Down Nano-Manufacturing Line.

Pharmaceutics·2025

Same author

Exploring a coating design spacing using experimental and simulated coating techniques.

International journal of pharmaceutics·2025

Search research articles

Related Experiment Video

Updated: Jan 23, 2026

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Published on: June 10, 2020

Deriving control parameter settings from process models to control capsule fillers integrated into continuous

Bernhard Wagner^1,2, Shea Fen Cheong³, Thomas Brinz¹

¹a Packaging Technology , Robert Bosch Packaging Technology GmbH , Waiblingen , Germany.

Drug Development and Industrial Pharmacy

|June 20, 2019

Summary

This study optimized continuous capsule filling weight control by deriving controller settings from process models. Rapid Automated Process Development (RAPD) enabled efficient optimization for pharmaceutical excipients.

Keywords:

Control strategy continuous capsule filling control challenges deriving control settings feedback control feedforward control mean fill weight process modeling rapid automated process development

More Related Videos

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Author Spotlight: Combined Peripheral Nerve Stimulation and Controllable Pulse Parameter Transcranial Magnetic Stimulation to Probe Sensorimotor Control and Learning

Author Spotlight: Combined Peripheral Nerve Stimulation and Controllable Pulse Parameter Transcranial Magnetic Stimulation to Probe Sensorimotor Control and Learning

Published on: April 21, 2023

Related Experiment Videos

Last Updated: Jan 23, 2026

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Published on: June 10, 2020

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Author Spotlight: Combined Peripheral Nerve Stimulation and Controllable Pulse Parameter Transcranial Magnetic Stimulation to Probe Sensorimotor Control and Learning

Author Spotlight: Combined Peripheral Nerve Stimulation and Controllable Pulse Parameter Transcranial Magnetic Stimulation to Probe Sensorimotor Control and Learning

Published on: April 21, 2023

Area of Science:

Pharmaceutical Manufacturing
Process Control Engineering
Automation and Robotics

Background:

Continuous manufacturing is crucial for modern pharmaceutical production.
Controlling mean fill weight in capsule filling presents challenges due to material variability.
Existing controller parameter settings often require extensive manual optimization.

Purpose of the Study:

To investigate the feasibility of deriving controller settings for continuous capsule filling from process models.
To develop and validate a method for optimizing mean fill weight control in automated capsule fillers.
To assess the impact of process variations on active pharmaceutical ingredient (API) content and excipient quality.

Main Methods:

Utilized a fully automated capsule filler integrated with an online gravimetric scale.
Investigated both feedback control and combined feedback/feedforward control strategies.
Developed a novel method using Rapid Automated Process Development (RAPD) to determine optimal control parameters based on process models.

Main Results:

Successfully derived and applied controller parameters using the RAPD method for optimized weight control.
Demonstrated the method's effectiveness across three different pharmaceutical excipients.
Verified the feasibility of the proposed approach through experimental validation and system dynamics analysis.

Conclusions:

Process model-derived controller settings offer an effective and rapid solution for optimizing continuous capsule filling weight control.
The RAPD method provides a fast and efficient approach to determine optimal control parameters, addressing a key industry challenge.
This work lays the foundation for integrating advanced control strategies into continuous pharmaceutical manufacturing systems.