BT505 ||| Biosensors

BT505 – Biosensors introduces students to the principles, design, and applications of biosensors. The course covers the biological and electronic components of biosensors, their working mechanisms, and practical applications in healthcare, agriculture, and environmental monitoring.

Course Introduction

This course provides comprehensive knowledge about biosensor technology, including biorecognition elements, transducers, and signal processing. Students learn how biosensors are used in diagnostics, industrial processes, and environmental analysis.

Course Learning Objectives

Understand the basic principles of biosensor technology
Learn about biorecognition elements and transducers
Study signal detection and processing techniques
Explore applications in healthcare, food industry, and environment
Develop problem-solving skills for biosensor design and evaluation

Major Topics / Syllabus

Introduction to Biosensors
Types of Biosensors: Enzymatic, Immunosensors, DNA Sensors
Biorecognition Elements: Enzymes, Antibodies, Nucleic Acids
Transducers: Electrochemical, Optical, Thermal, Piezoelectric
Signal Processing and Data Analysis
Applications in Healthcare and Diagnostics
Applications in Environmental Monitoring
Applications in Food and Agriculture
Current Trends and Future Perspectives
Design and Evaluation of Biosensors

Biosensors Focus

Design and working of various biosensors
Biorecognition and signal transduction principles
Practical applications in multiple industries
Performance evaluation and optimization
Emerging trends in biosensor technology

Practice Areas

MCQs on biosensor principles and types
Short questions on biorecognition and transducers
Long questions on biosensor applications
Diagram exercises: working models of biosensors
Case studies on diagnostics, environmental, and agricultural applications

Exam Preparation Tips

Revise types and working principles of biosensors
Practice diagrams for transducers and sensors
Understand applications in healthcare, environment, and agriculture
Focus on signal processing and evaluation methods
Solve past MCQs and long questions for speed and accuracy