課程資訊
課程名稱
生物分子感測元件
Biomolecular Sensing Devices 
開課學期
102-1 
授課對象
生物資源暨農學院  生物機電工程學系  
授課教師
陳林祈 
課號
BME5413 
課程識別碼
631 U3320 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期五2,3,4(9:10~12:10) 
上課地點
知207 
備註
總人數上限:60人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1021BMD 
課程簡介影片
 
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課程概述

Prof. Lin-Chi Chen (陳林祈)’s “biomolecular sensing devices (BSDs),” is an introductory course of “biosensor technology principle and practice” designed for senior undergraduates or graduates who are interested in or get involved in the growing interdisciplinary R&D activities in point-of-care biosensors, rapid molecular diagnostics, micro-total analysis systems, and miniaturized biochips. The course will begin with anatomy of a biosensor and understanding analytes with their biological significances. Two major classes of molecular recognition (catalysis vs. affinity-based) and three common strategies of signal transduction (electrochemical, electronic, and photonic) that are the pillars of biosensor technology will be introduced and discussed before the midterm exam. The second half of the course will start with the bioconjugation technique that is used to anchor a molecular recognition element on a transducer surface and thus construct the core feature of a biosensor. Later on, the case studies on the design, fabrication, and application issues for the four levels of biosensors – ion-selective biosensors, small-molecule biosensors, immunosensors and gene sensors, will be described and illustrated with either commercial or cutting-edge examples. Finally, the course will also deal with the practical issues including the performance-enhancing strategies, niche markets, future R&D trends, and regulation and ethical aspects of biosensor technology.
The BSD course was developed in fall 2005, and it is the sixth time that the course is lectured. The course’s old lecture handouts (ver. 2011 Fall) can be obtained on the CEIBA website via the following link: https://ceiba.ntu.edu.tw/1001BSD (now open to the public). In this semester, a new series of lecture handouts containing updated, state-of-the art information (being developed) will be offered. Biosensor technology is an interdisciplinary topic, so we welcome students with different backgrounds to join in the class. We will also group students with different backgrounds to promote better brainstorming and idea incubation. So, welcome to this semester’s BSD class and enjoy your stay and learning!

*Lecture hours plan (for every week):
15 mins: Opening & Preview
120 mins: Elaborate the section contents, examples, exercise, and so on.
20 mins: Hands-on demo activities
15 mins: Q&A (discussion on the course content & students'real research task/bottleneck)  

課程目標
Understanding important terminologies in the biosensor fields
Understanding biomolecular sensing principles
Understanding biosensor and biochip construction know-hows
Understanding the four-levels of biomolecular sensors
Able to apply the knowledge from the class

 
課程要求
Group homework (four assignments, including interesting, small hands-on activities): 20%
Midterm exam: 40%
Final exam: 40%
Learning attitude: bonus or penalty  
預期每週課後學習時數
 
Office Hours
另約時間 備註: by appointment 
指定閱讀
https://ceiba.ntu.edu.tw/1021BMD (new handouts to be offered)
https://ceiba.ntu.edu.tw/1001BSD (old handouts for reference)
 
參考書目
Eggins (2002) Chemical Sensors and Biosensors, Wiley
Cooper and Cass, eds (2004) Biosensors: A Practical Approach (2nd ed.), Oxford
Cunningham (1998) Introduction to Bioanalytical Sensors, Wiley
Schena (2003) Microarray Analysis, Wiley
Bard and Faulkner (2001) Electrochemical Methods: Fundamentals and Applications (2nd ed.) , Wiley
Skoog, Holler, and Nieman (1998) Principles of Instrumental Analysis (5th ed.), Saunders
Boyer (2006) Concepts in Biochemistry (3rd ed.), Wiley
 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
第0週
08/21  102-1 BSD Syllabus 
第1週
09/13  1. Anatomy of a biosensor
1.1 What about a biosensor? And why biosensors?
1.2 How to construct a biosensor? – Glucose biosensor as an example
1.3 An ideal biosensor – accurate, reliable, rapid, small, user friendly, and cost-effective
 
第2週
09/20  Moon festival holiday 
第3週
09/27  2. Analytes and their biological significances
2.1 From ions, gases, small metabolites, nucleic acids, proteins, viruses to cells
2.2 Biomedical and health care issues
2.3 Agricultural, food processing and environmental monitoring issues
 
第4週
10/04  3. Catalysis-based analyte recognition
3.1 Enzymes and their functions
3.2 Abiotic enzyme mimics – functional catalytic materials
3.3 Biotic enzyme mimics – DNAzymes
* Group homework assignment #1(due on 10/25)
 
第5週
10/11  4. Affinity-based analyte recognition
4.1 Ionophores and molecular imprinting
4.2 Antibodies and lectins
4.3 Nucleic acids and aptamers
 
第6週
10/18  6. Electronic signal transduction
6.1 Field-effect transistor-based detection
6.2 Piezoelectric detection
6.3 Thermoelectric detection

 
第7週
10/25  5. Electrochemical signal transduction
5.1 Two-electrode vs. three-electrode electrochemistry
5.2 DC electrochemical methods
5.3 AC electrochemical methods
* Group homework assignment # 2 (due on 11/8) 
第8週
11/01  (a) Homework Tutoring; (b) Simulated Midterm Exam 
第9週
11/08  Midterm exam (Lecture 1 to Lecture 6) 
第10週
11/15  NTU anniversary day (day off) 
第11週
11/22  7. Photonic signal transduction
 
第12週
11/29  7. Photonic Signal Transduction (Cont'd)
8. Bioconjugation - Constructing a Biosensor Interface 
第13週
12/06  8. Bioconjugation – constructing a biosensor interface (Cont'd) * Group homework assignment # 3 (due on 12/20) 
第14週
12/13  9. Practice of a potentiometric sensor - A potassium ion-selective electrode  
第15週
12/20  10. Practice of an amperometric sensor - A enzymatic glucose biosensor 
第16週
12/27  11. Practice of a fluorescent sensor - A LED-based DNA sensor * Group homework assignment # 4 (due on 2014/01/10) 
第17週
2014/01/03  (a) Market and Regulation Issues; (b) Homework Tutoring 
第18週
2014/01/10  Final exam (Lecture 7 to Lecture 11)