Course title
バイオセンシング   [Biosensing]
Course category technology speciality courses  Requirement   Credit 1 
Department   Year 24  Semester 3rd 
Course type 3rd  Course code 022173
Instructor(s)
池袋 一典, 養王田 正文, 中村 暢文, 中村 史, 吉野 知子, 太田 善浩, 川野 竜司, 浅野 竜太郎   [IKEBUKURO Kazunori, YOHDA Masafumi, NAKAMURA Nobufumi, NAKAMURA Chikashi, YOSHINO Tomoko, OHTA Yoshihiro, KAWANO Ryuji, ASANO Ryutaro]
Facility affiliation Faculty of Engineering Office afjgxte/L1151  Email address

Course description
Lectures for protein engineering and its application in electronics, especially "biosensor". The development for commercial applications of biosensor will be introduced and explained.
Google Classroom Classcode : m22xgr2
Expected Learning
Fundermental undestanding of biosensing and biosensors. How to acheive the high sensitive detection and how we can make the detection system simple and rapid will be explained.
Course schedule
The follwing issues will be lectured.
1. Fundemental knowledge of biosensing
2. Type and classification of biosensors
3. Enzyme electrode
4. The priciples of various transducer
5. Immunosensor
6. Microbial sensor
7. Aptameric sensor
8. Bound and Free separtion
9. Label and non-label detection system
10. homogenious detection
11. DNA microarray


Prerequisites
English reading and Japanese writing is required.
Required Text(s) and Materials
Find one english academic paper on biosensing and read it. I do not use the text and I will write the necessary information on black board and sometimes use power point.
References
Assessment/Grading
The report on one academic paper on biosensor or small tests at each lecture will be assessed.
Message from instructor(s)
I am going to explain the importance of measurement, and the important points to perform higly sensitive measurement.
Course keywords
Biosensing, biosensor, signal to noise ration, bound and free separation, microarray.
Office hours
Tuesday, 12 to 13 o'clock
Remarks 1
Remarks 2
Related URL
Lecture Language
Japanese
Language Subject
Last update
9/30/2021 10:22:07 AM