COURSE UNIT TITLE

: BIOSENSORS : BASIC PRINCIPLES AND APPLICATIONS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BIK 0521 BIOSENSORS : BASIC PRINCIPLES AND APPLICATIONS ELECTIVE 2 0 3 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR ERHAN DINÇKAYA

Offered to

Industrial Ph.D. Program In Advanced Biomedical Technologies
Industrial Ph.D. Program In Advanced Biomedical Technologies

Course Objective

The course focuses on the typical aspects of biosensors and its instrumentation. By the end of the course, the student should be able to define biosensors as analytical devices incorporating a biological material (eg. tissue, microorganisms, organelles, cell receptors, enzymes, antibodies, nucleic acids etc), a biologically derived material or biomimic intimately associated with, integrated within a physiochemical transducer, or transducing microsystem, which may be optical, electrochemical, thermometric, piezoelectric or magnetic

Learning Outcomes of the Course Unit

1   Be able to describe the most common sensor principles
2   Be able to have a broad understanding of the applications of various sensors and transducers for various measurements
3   Gain an ability to design and developed biosensors for different applications
4   Be conversant in biosensor design and which parameters will influence biosensor performance
5   Be able to evaluate critically on new biosensor technologies presented in the literature
6   Be able to read critically review the literature in the area and apply knowledge gained from the course to analyse simple biosensing and transduction problems
7   Be able to compare critically different techniques with emphasis on sensitivity and selectivity.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic principles of biosensors, Selection of target biomolecule , analyte, transducer, apparatus and literature survey
2 Classifications, properties and characteristics of biosensors:Electrochemical Biosensors Literature survey and selection of immobilization methods
3 Classifications, properties and characteristics of biosensors:Optic Biosensors,Thermal Biosensors Construction of biosensors: Preparation of transducer
4 Classifications, properties and characteristics of biosensors:Piezoelectric Biosensors,SPR based biosensors Construction of biosensors: Preparation of bioactive layer
5 Construction of biosensors Construction of biosensors: Combination of transducer and bioactive layer
6 Enzyme sensors:Therotical aspects and kinetics Optimization of biosensor
7 Microbial sensors Characterization of biosensor
8 Mid-term exam Discussion
9 Immunogical sensors, DNA sensors Analysis of analyte
10 Performans factors of biosensors Adoptation of method for sample analysis
11 Use and applicatios of biosensors Data evaluation
12 Discussion Problem discussion
13 Integration and comparison Report preparation
14 Project presentation Presentation

Recomended or Required Reading

J.Cooper,T,Cass Biosensors Oxford University Pres,2004 E.Gizeli C.R..Lowe Biomolecular sensors Taylor and Francis Inc.2002 A. Mulchandani, K. R. Rogers, Enzyme and Microbial Biosensors , Humana Press Inclined, (1998) A. Telefoncu(Ed.), Biyosensorler , Ege University Press, (1999 T.M.Canh, Biosensors Chapman and Hall,(1993) A. E. G. Cass(Ed.), Biosensors , Oxford University Press, (1990)

Planned Learning Activities and Teaching Methods

Exams and tutorials

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


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

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
Labratory 14 3 42
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 20 20
Preparation for final exam 1 40 40
Reading 14 2 28
Preparing presentations 2 1 2
Preparing assignments 2 10 20
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 212

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15414
LO.22
LO.3531
LO.42
LO.5
LO.6145
LO.72