Biosensors & Biomarkers
The term “biosensor” is short for “biological sensor.” A biosensor is an analytical device which converts a biological response into an electrical signal. The device is made up of a transducer and a biological element that may be an enzyme, an antibody or a nucleic acid. The bio element interacts with the analyte being tested and the biological response is converted into an electrical signal by the transducer. Electrochemical biosensors are normally based on enzymatic catalysis of a reaction that produces or consumes electrons (such enzymes are rightly called redox enzymes). Amperometric biosensors are self-contained integrated devices based on the measurement of the current resulting from the oxidation or reduction of an electro active biological element providing specific quantitative analytical information. They generally have response times, dynamic ranges and sensitivities similar to the potentiometric biosensors. A potentiometric biosensor can be defined as a device incorporating a biological sensing element connected to an electrochemical potential transducer. Potentiometric biosensors usually rely on a biochemical reaction leading to simpler chemical specie and its subsequent electrochemical detection. The analytical signal generated by a potentiometric biosensor is an electrical potential. An electrochemical biosensor is a self-contained integrated device, which is capable of providing specific quantitative or semi-quantitative analytical information using a biological recognition element (biochemical receptor) which is retained in direct spatial contact with an electrochemical transduction element
- Biosensors for Medical Applications
- Recent advances in Biosensors
- Microbial Biosensors
- Amperometric Biosensors
- Potentiometric Biosensors
- Nano Biosensors
- Biochemistry in Biotechnology Industry
Related Conference of Biosensors & Biomarkers
11th World Congress on Computer Science, Machine Learning and Big Data
3rd World Summit on Big Data, Machine Learning and Artificial Intelligence
11th International Conference and Exhibition on Mechanical & Aerospace Engineering
Biosensors & Biomarkers Conference Speakers
Recommended Sessions
- Bio-MEMS/NEMS
- Biochips & Nucleic Acid Sensors
- Bioelectronics
- Bioinstrumentation & Equipments
- Biosensing Technologies
- Biosensor Applications
- Biosensors & Biomarkers
- Biosensors & Global Market
- Biosensors for Imaging
- Environmental Biosensors
- Enzymatic Biosensors
- Nanotechnology in Biosensors
- Photonic Sensor Technologies
- Transducers in Biosensors
- Types of Biosensors
Related Journals
Are you interested in
- AI Ethics - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- AI for Cyber Security - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- AI in Cybersecurity - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- AI in Healthcare - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Ambient Intelligence - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Applications of Machine Learning - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Artificial Intelligence - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Artificial Intelligence - Big Data 2025 (Canada)
- Artificial Intelligence in Gaming - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Artificial Intelligence in Music - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Artificial Neural Network - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Artificial Neural Networks - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Big Data - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Big Data Analytics - Big Data 2025 (Canada)
- Big Data Analytics in Healthcare and Medicine - Big Data 2025 (Canada)
- Big Data in Bioinformatics, Multimedia, Smartphones - Big Data 2025 (Canada)
- Bioinformatics - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Biometrics - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Challenges and opportunities of predictive analytics - Big Data 2025 (Canada)
- Cloud Computing - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Cloud Computing - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Computer Vision - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Convolutional Neural Network Model - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Data Mining Meets Visual Analytics at Big Data Era - Big Data 2025 (Canada)
- Deep Learning - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Deep Learning - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Development in predictive analytics - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Digital Avatars - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Ethical AI Development - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Future Scope of AI - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Generative Adversarial Networks - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Internet of Things - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Machine Learning - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Machine Learning - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Machine Learning and Statistical Methods for Data Mining - Big Data 2025 (Canada)
- Mobility Analytics from Spatial and Social Data - Big Data 2025 (Canada)
- Multiagent Systems - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Natural Language Processing - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Natural Language Processing - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Networking Big Data Security - Big Data 2025 (Canada)
- Neural Network Optimization - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Predictive Analytics - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Reinforcement Learning Applications - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Robotics and Automation - ARTIFICIAL INTELLIGENCE-2025 (UAE)
- Robotics and Mechatronics - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Self-Organizing Neural Networks - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- The Next Generation of Artificial Intelligence - ARTIFICIAL INTELLIGENCE MEET 2025 ()
- Unlocking the Potential of Smart Data - Big Data 2025 (Canada)
- Web-based Training Environment - ARTIFICIAL INTELLIGENCE MEET 2025 ()