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

Control Systems01:10

Control Systems

1.9K
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...
1.9K
Control Systems: Applications01:25

Control Systems: Applications

1.2K
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
1.2K
Feedback control systems01:26

Feedback control systems

712
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
712
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.7K
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
1.7K
Transfer Function in Control Systems01:21

Transfer Function in Control Systems

1.6K
The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...
1.6K
Pharmaceutical Equivalents01:26

Pharmaceutical Equivalents

201
As defined by regulatory standards, pharmaceutical equivalents require generic drug products to have identical dosage forms and chemically identical active pharmaceutical ingredients (APIs). They must adhere to compendial or applicable standards for potency, content uniformity, disintegration times, and dissolution rates. In the case of modified-release dosage forms, variations in drug content are permissible as long as the delivered amount remains consistent with the innovator drug product.
201

You might also read

Related Articles

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

Sort by
Same author

The dynamic growth of bacterial cultures: real-time Bayesian estimation of substrate uptake rates in fed-batch fermentations of E. coli.

Bioprocess and biosystems engineering·2025
Same author

The 10th Anniversary of <i>Bioengineering</i>: Biochemical Engineering.

Bioengineering (Basel, Switzerland)·2025
Same author

Addressing raw material variability: In-line FTIR sugar composition analysis of lignocellulosic process streams.

Bioresource technology·2024
Same author

Maduramycin, a novel glycosylation modulator for mammalian fed-batch and steady-state perfusion processes.

Journal of biotechnology·2024
Same author

Co-current filtrate flow in TFF perfusion processes: Decoupling transmembrane pressure from crossflow to improve product sieving.

Biotechnology and bioengineering·2023
Same author

Temperature Upshifts in Mammalian Cell Culture: A Suitable Strategy for Biosimilar Monoclonal Antibodies?

Bioengineering (Basel, Switzerland)·2023

Related Experiment Video

Updated: Jan 29, 2026

Failure of Cleaning Verification in Pharmaceutical Industry Due to Uncleanliness of Stainless Steel Surface
07:00

Failure of Cleaning Verification in Pharmaceutical Industry Due to Uncleanliness of Stainless Steel Surface

Published on: August 11, 2017

8.6K

Provable Data Integrity in the Pharmaceutical Industry Based on Version Control Systems and the Blockchain.

Valentin Steinwandter1, Christoph Herwig2,3

  • 1Exputec GmbH, Mariahilferstr. 147/2/2D, Vienna, Austria.

PDA Journal of Pharmaceutical Science and Technology
|February 17, 2019
PubMed
Summary

Blockchain technology enhances pharmaceutical data integrity by securing raw data and analytical results. This approach ensures patient safety and protects intellectual property without relying on third parties.

Keywords:
BlockchainData integrityData sciencePharmaceutical manufacturingRegulatory compliance

More Related Videos

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
05:35

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

Published on: September 20, 2022

4.2K
Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

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

9.1K

Related Experiment Videos

Last Updated: Jan 29, 2026

Failure of Cleaning Verification in Pharmaceutical Industry Due to Uncleanliness of Stainless Steel Surface
07:00

Failure of Cleaning Verification in Pharmaceutical Industry Due to Uncleanliness of Stainless Steel Surface

Published on: August 11, 2017

8.6K
An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
05:35

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

Published on: September 20, 2022

4.2K
Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

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

9.1K

Area of Science:

  • Pharmaceutical Manufacturing
  • Data Science
  • Blockchain Technology

Background:

  • Data integrity is critical in pharmaceutical manufacturing, impacting patient safety and economic success.
  • Regulatory agencies like the FDA have issued guidelines due to past data integrity breaches.
  • Current technical solutions for data integrity are insufficient.

Purpose of the Study:

  • To demonstrate technological improvements for data integrity in pharmaceutical processes.
  • To eliminate the need for trusted third parties and centralized systems.
  • To detect data manipulation and facilitate auditing of the data flow.

Main Methods:

  • Implementation of an approach combining existing software development tools.
  • Development of a smart contract on the Ethereum blockchain.
  • Case study to test detection of data manipulation and backdating.

Main Results:

  • The proposed approach effectively detects data manipulation and backdating of results.
  • The system enables regulatory agencies to audit the complete data flow from report to raw data.
  • A roadmap for production-ready tools like versioned databases interoperating with distributed ledgers is outlined.

Conclusions:

  • Blockchain technology can significantly improve pharmaceutical manufacturing data integrity.
  • The approach enhances trustworthiness by protecting intellectual property and patient safety.
  • Technological solutions can guarantee data integrity without relying on trusted third parties.