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

Control Systems: Applications

Control Systems: Applications

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 direction...

Multi-input and Multi-variable systems

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...

Electro-mechanical Systems

Electro-mechanical Systems

Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...

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...

Mechanical Systems

Mechanical Systems

Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically described...

Classification of Systems-I

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:

You might also read

Related Articles

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

Sort by

Same author

Corrigendum to "Directed evolution of an integral membrane monooxygenase unlocks its full potential" [Bioresour. Technol. 447 (2026) 134249].

Bioresource technology·2026

Same author

Directed evolution of an integral membrane monooxygenase unlocks its full potential.

Bioresource technology·2026

Same author

Growth of <i>Hydrogenophaga pseudoflava</i> on syngas: design of gas and liquid medium composition based on elemental yield coefficients.

Frontiers in bioengineering and biotechnology·2026

Same author

An automated platform for accelerating and focusing adaptive laboratory evolution.

Metabolic engineering·2025

Same author

Data-driven protease engineering by DNA-recording and epistasis-aware machine learning.

Nature communications·2025

Same author

Permeabilisation of the Outer Membrane of Escherichia coli for Enhanced Transport of Complex Molecules.

Microbial biotechnology·2025

Search research articles

Related Experiment Video

Updated: Jun 10, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Engineering in complex systems.

Matthias Bujara¹, Sven Panke

¹Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.

Current Opinion in Biotechnology

|August 17, 2010

Summary

This summary is machine-generated.

Applying the engineering design cycle of measure, model, and manipulate enhances biotechnological designs. Advances in metabolic analysis, system manipulation, and cell orthogonality enable more rational and reliable metabolic engineering.

More Related Videos

Micro-scale Engineering for Cell Biology

Micro-scale Engineering for Cell Biology

Published on: October 1, 2007

Operation of the Collaborative Composite Manufacturing (CCM) System

Operation of the Collaborative Composite Manufacturing (CCM) System

Published on: October 1, 2019

Related Experiment Videos

Last Updated: Jun 10, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Micro-scale Engineering for Cell Biology

Micro-scale Engineering for Cell Biology

Published on: October 1, 2007

Operation of the Collaborative Composite Manufacturing (CCM) System

Operation of the Collaborative Composite Manufacturing (CCM) System

Published on: October 1, 2019

Area of Science:

Biotechnology
Metabolic Engineering
Synthetic Biology

Background:

The engineering design cycle (measure, model, manipulate) is crucial for biotechnological success.
Traditional engineering paradigms in biotechnology are expanding.
Advances in understanding and controlling biological systems are ongoing.

Purpose of the Study:

To highlight the expanding scope of the engineering design cycle in biotechnology.
To discuss recent progress in key elements of the cycle: measurement, modeling, and manipulation.
To emphasize the potential for more rational design of metabolic systems.

Main Methods:

Dynamic in vivo analysis of metabolism for accurate prediction.
Novel methods for metabolic system manipulation with varying system knowledge.
Combinatorial testing of pre-characterized biological parts.
Conceptual advances in orthogonalizing cells.

Main Results:

Substantial progress in dynamic in vivo metabolic analysis.
Development of new methods for metabolic system manipulation.
Promising results from automated combinatorial testing of biological parts.
Enhanced reliability of engineering designs through cell orthogonality.

Conclusions:

The engineering design cycle is increasingly applicable and effective in biotechnology.
Integrated advances in metabolic analysis, manipulation, and cell engineering facilitate rational design.
Future biotechnological designs will benefit from improved in silico models and orthogonalized cells.