Related Experiment Video
Updated: Feb 6, 2026

06:40
Biofunctionalization of Magnetic Nanomaterials
Published on: July 16, 2020
3.0K
High-Performance Biosensing Systems Based on Various Nanomaterials as Signal Transducers
Jaewook Lee1, Oluwasesan Adegoke1, Enoch Y Park1,2,3
1Laboratory of Biotechnology, Research Institute of Green Science and Technology, Shizuoka University, 836 Ohya, Suruga-ku, Shizuoka, 422-8529, Japan.
Biotechnology Journal
|August 18, 2018
Summary
Nanomaterials enable highly sensitive and selective biosensors for improved public health. These advanced biosensing systems offer rapid monitoring and early detection of diseases, enhancing healthcare outcomes.
Area of Science:
- Materials Science
- Biotechnology
- Analytical Chemistry
Background:
- Highly sensitive and selective biosensors are crucial for advancing public health and well-being.
- Nanomaterials offer unique physical and electrical properties for high-performance biosensing applications.
- Existing biosensing platforms benefit from the integration of diverse nanomaterials.
Purpose of the Study:
- To review various types of nanomaterial-based biosensors.
- To highlight the high sensitivity and selectivity of these biosensors.
- To discuss potential applications in biomolecule detection and healthcare.
Main Methods:
- Review of scientific literature on nanomaterial-based biosensors.
- Analysis of nanomaterial properties (plasmonic, magnetic, catalytic, fluorescence, electrical conductivity).
- Discussion of integration into optical, electrical, and electrochemical detection platforms.
Main Results:
- Nanomaterials like nanoparticles, carbon nanomaterials, and hybrid nanomaterials facilitate high-performance biosensor fabrication.
- These biosensors exhibit excellent sensitivity and selectivity for detecting various biomolecules.
- Nanomaterial properties are effectively translated into detectable signals.
Conclusions:
- Nanomaterial-based biosensing systems significantly enhance healthcare.
- Applications include rapid monitoring and early detection of infectious diseases.
- These advancements contribute to improved public health outcomes.
Related Concept Videos
What is Cell Signaling?
131.0K
Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate to respond to the environment.
131.0K
Transducer Mechanism: Nuclear Receptors
2.5K
Nuclear receptors, or NRs, are unique transcription factors that regulate gene transcription and affect the cellular pathways involved in reproduction, development, or metabolism. Their ability to be stimulated by small lipophilic ligands and control vital cellular processes makes them ideal drug targets. Nearly 10-15% of currently prescribed drugs target these receptors.
About 48 different soluble family members of nuclear receptors are identified that can be divided into two main classes:
About 48 different soluble family members of nuclear receptors are identified that can be divided into two main classes:
2.5K
Second Order systems II
411
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
411
First Order Systems
433
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
433
Second Order systems I
602
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
By reinterpreting the system, one can derive the closed-loop transfer function, which...
602
Endocrine Signaling
68.2K
Endocrine cells produce hormones to communicate with remote target cells found in other organs. The hormone reaches these distant areas using the circulatory system. This exposes the whole organism to the hormone but only those cells expressing hormone receptors or target cells are affected. Thus, endocrine signaling induces slow responses from its target cells but these effects also last longer.
68.2K

