COURSE UNIT TITLE

: CELL-BASED BIOSENSOR SYSTEMS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BIK 0524 CELL-BASED BIOSENSOR SYSTEMS ELECTIVE 2 2 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSOCIATE PROFESSOR EROL AKYILMAZ

Offered to

Industrial Ph.D. Program In Advanced Biomedical Technologies

Course Objective

Teaching the fundamentals of cell based biosensor systems and also design and usage of these biosensor systems in the applications..

Learning Outcomes of the Course Unit

1   Gain an insight about the biosensors especially microbial ones
2   Be able to make literature survey and also interpret related to the identification of target microorganism.
3   Be able to make strategic plans to determine target analyte by microbial biosensors
4   Be able to design and develop microorganism immobilization strategies for microbial biosensors
5   Be able to understand and use electrochemical techniques used in the biosensor studies
6   Gain an ability to study individually and with group
7   Be able to understand newer advances in microbial biosensors and to develop specific methods
8   To explore and compare the advantages/disadvantages of using methods
9   Gain the ability to select appropriate method
10   Be able to review, compare and interpret the results of the research

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Overview of biosensors Selection of target microorganism and literature survey
2 Selection and culture of target microorganism Selection of suitable culture medium for target microorganism, literature survey
3 Immobilization of microorganism on the working electrode by using a suitable method Strategy planning for the immobilization
4 The principles of measurement of microbial biosensor prepared To determine the principle of measurement, literature survey
5 Aerobic and anaerobic systems, last point and kinetic measurement methods Measurement of target analyte according to the measurement method determined
6 Optimization of bioactive layer compounds in microbial biosensor Optimization of microorganism and immobilization material
7 Detection of optimum conditions in microbial biosensor (opt.pH, opt. Temperature) Assays in different buffer systems and temperature
8 Midterm Exam Discussion
9 Characterization studies of microbial biosensors (detection range, repetability, substrate specificity , interference effects, etc.) Detection of analytical parameters
10 Inhibition based microbial biosensor biosensors Analysis in samples
11 Mediators in microbial biosensors Evaluation of the results
12 Microbial biosensors in environment and food analysis Discussion of the problems
13 Entegration and compare Preparation of report
14 Project presentation

Recomended or Required Reading

A.Mulchandani, K.R. Rogers, 1998. Enzyme and Microbial Biosensors-Techniques and Protocols . Humana Press, Totowa, New Jersey J.Racek, Cell-based biosensors . Technomic Pub Co., Westport, Connecticut., (1995) T.Scheper(Series Editor), R.Renneberg, F.Lisdat (Volume Editor), Biosensing for the 21st century , Springer, (2007)

Planned Learning Activities and Teaching Methods

project and exams

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.20 + ASG * 0.20 + FIN * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + ASG * 0.20 + RST * 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Tutorials 14 2 28
Preparations before/after weekly lectures 2 15 30
Preparing presentations 3 10 30
Reading 5 5 25
Design Project 2 20 40
Final 1 3 3
Midterm 2 4 8
TOTAL WORKLOAD (hours) 192

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15433
LO.23
LO.322
LO.455
LO.531
LO.615
LO.724
LO.822
LO.94
LO.10