Biosensors are analytical devices that can detect and quantify biological samples such as but not limited to molecules, concentrations, antigens, antibodies, or events. They have a wide range of applications in medicine, food science, environmental monitoring, and many other fields. Over the years, biosensors have evolved to incorporate a range of technologies, including radio frequency, optics, embedded systems, VLSI (Very Large-Scale Integration), and electronic devices.
Radio frequency biosensors use electromagnetic waves to analyze biological samples. They are particularly useful in medical applications, such as monitoring glucose levels in diabetic patients. Optics-based biosensors rely on the interaction of light with biological molecules. They have high sensitivity and are commonly used in research labs to detect protein-protein interactions, DNA hybridization and genome detection.
Embedded systems are often used in biosensors to control the operation of the device and analyze the data. They are particularly useful in portable and wearable biosensors. VLSI technology is used to manufacture biosensors with integrated circuits that can perform complex data processing tasks. Other devices, such as microelectromechanical systems (MEMS), can be used to fabricate biosensors with miniaturized components, allowing for more compact and portable devices.
Overall, the use of radio frequency, optics, embedded systems, VLSI, and other devices has greatly expanded the capabilities of biosensors and allowed for the development of more sensitive, accurate, and portable devices.
The primary goal of biosensors using radio frequency, optics, embedded systems, VLSI, and devices is to provide accurate, sensitive, rapid and portable devices for the detection and quantification of biological samples. These biosensors can be used in a wide range of applications, including medical diagnosis and monitoring, food safety testing, environmental monitoring, and more.
Radio frequency biosensors use electromagnetic waves to detect biological molecules, such as glucose, proteins, and DNA. These devices have great potential in medical applications, such as monitoring glucose levels in diabetic patients, detecting infectious agents, and monitoring cardiac function.
Optics-based biosensors use light to detect biological molecules, and they are highly sensitive and specific. They are commonly used in research labs to detect protein-protein interactions and DNA.
Embedded systems and VLSI technology are used to control and analyze the data collected by biosensors. These technologies are particularly useful in portable and wearable biosensors, allowing for real-time data analysis and immediate feedback to the user.
Overall, the goals of biosensors using radio frequency, optics, embedded systems, VLSI, and other devices are to provide accurate, sensitive, and portable devices for the detection and quantification of biological molecules or events, which can greatly improve medical diagnosis and treatment, as well as enhance food safety and environmental monitoring.
The scope of the Research Topic on biosensors using radio frequency, optics, embedded systems, VLSI, and devices is to explore and advance the development of analytical devices that can detect and quantify biological samples such as but not limited to molecules, concentrations, antigens, antibodies, or events. We welcome the submission of Original Research, Review, Mini Review, and Perspective articles on themes including, but not limited to:
* Design and optimization of biosensors using different technologies
* Development of biosensors for medical diagnosis and monitoring, food safety testing, environmental monitoring, and other applications
* Integration of biosensors with embedded systems, VLSI, and other devices for real-time data analysis and feedback
* Development of biosensors with high sensitivity, accuracy, and specificity
* Exploration of new technologies for biosensor fabrication, such as microelectromechanical systems (MEMS) and nanotechnology
* Advancements in biosensor signal transduction and data processing techniques
* Exploration of novel applications of biosensors, such as in wearable devices and smart homes
* Evaluation of biosensor performance in real-world settings and comparison with existing technologies
* Ethical considerations in the development and deployment of biosensors.
Overall, this Research Topic has the potential to greatly advance the field of biosensors and lead to the development of new and innovative devices that can improve human health, food safety, and environmental monitoring.
Topic Editor Dr. Azeemuddin Syed is part of the company "Numelec Innovations Lab". All other Topic Editors declare no competing interests with regards to the Research Topic subject.
Keywords:
Biosensors, Health monitoring, Rapid Diagnostics, Food Safety, Agriculture sensing, Radio frequency, Optics, Embedded systems, VLSI, Nanotechnology, Signal transduction
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Biosensors are analytical devices that can detect and quantify biological samples such as but not limited to molecules, concentrations, antigens, antibodies, or events. They have a wide range of applications in medicine, food science, environmental monitoring, and many other fields. Over the years, biosensors have evolved to incorporate a range of technologies, including radio frequency, optics, embedded systems, VLSI (Very Large-Scale Integration), and electronic devices.
Radio frequency biosensors use electromagnetic waves to analyze biological samples. They are particularly useful in medical applications, such as monitoring glucose levels in diabetic patients. Optics-based biosensors rely on the interaction of light with biological molecules. They have high sensitivity and are commonly used in research labs to detect protein-protein interactions, DNA hybridization and genome detection.
Embedded systems are often used in biosensors to control the operation of the device and analyze the data. They are particularly useful in portable and wearable biosensors. VLSI technology is used to manufacture biosensors with integrated circuits that can perform complex data processing tasks. Other devices, such as microelectromechanical systems (MEMS), can be used to fabricate biosensors with miniaturized components, allowing for more compact and portable devices.
Overall, the use of radio frequency, optics, embedded systems, VLSI, and other devices has greatly expanded the capabilities of biosensors and allowed for the development of more sensitive, accurate, and portable devices.
The primary goal of biosensors using radio frequency, optics, embedded systems, VLSI, and devices is to provide accurate, sensitive, rapid and portable devices for the detection and quantification of biological samples. These biosensors can be used in a wide range of applications, including medical diagnosis and monitoring, food safety testing, environmental monitoring, and more.
Radio frequency biosensors use electromagnetic waves to detect biological molecules, such as glucose, proteins, and DNA. These devices have great potential in medical applications, such as monitoring glucose levels in diabetic patients, detecting infectious agents, and monitoring cardiac function.
Optics-based biosensors use light to detect biological molecules, and they are highly sensitive and specific. They are commonly used in research labs to detect protein-protein interactions and DNA.
Embedded systems and VLSI technology are used to control and analyze the data collected by biosensors. These technologies are particularly useful in portable and wearable biosensors, allowing for real-time data analysis and immediate feedback to the user.
Overall, the goals of biosensors using radio frequency, optics, embedded systems, VLSI, and other devices are to provide accurate, sensitive, and portable devices for the detection and quantification of biological molecules or events, which can greatly improve medical diagnosis and treatment, as well as enhance food safety and environmental monitoring.
The scope of the Research Topic on biosensors using radio frequency, optics, embedded systems, VLSI, and devices is to explore and advance the development of analytical devices that can detect and quantify biological samples such as but not limited to molecules, concentrations, antigens, antibodies, or events. We welcome the submission of Original Research, Review, Mini Review, and Perspective articles on themes including, but not limited to:
* Design and optimization of biosensors using different technologies
* Development of biosensors for medical diagnosis and monitoring, food safety testing, environmental monitoring, and other applications
* Integration of biosensors with embedded systems, VLSI, and other devices for real-time data analysis and feedback
* Development of biosensors with high sensitivity, accuracy, and specificity
* Exploration of new technologies for biosensor fabrication, such as microelectromechanical systems (MEMS) and nanotechnology
* Advancements in biosensor signal transduction and data processing techniques
* Exploration of novel applications of biosensors, such as in wearable devices and smart homes
* Evaluation of biosensor performance in real-world settings and comparison with existing technologies
* Ethical considerations in the development and deployment of biosensors.
Overall, this Research Topic has the potential to greatly advance the field of biosensors and lead to the development of new and innovative devices that can improve human health, food safety, and environmental monitoring.
Topic Editor Dr. Azeemuddin Syed is part of the company "Numelec Innovations Lab". All other Topic Editors declare no competing interests with regards to the Research Topic subject.
Keywords:
Biosensors, Health monitoring, Rapid Diagnostics, Food Safety, Agriculture sensing, Radio frequency, Optics, Embedded systems, VLSI, Nanotechnology, Signal transduction
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.