COURSE UNIT TITLE

: APPLICATION OF BIOSENSORS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BYT 5008 APPLICATION OF BIOSENSORS ELECTIVE 2 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ŞENOL ALPAT

Offered to

Ph.D. in Biotechnology
Ph.D. in Biotechnology
BIOTECHNOLOGY

Course Objective

In this lesson, analysis principles of parametrs caused environmental pollution with providing a rapid and much cheaper analysis at their location will be taught, a lot of subtances can be determined in a very short time and also quite selective with sensors combining with electrochemical sensors and what are the problems today in terms of its use in medicine and in the future, which will be designed to be kept at the forefront of sensors which parameters will be discussed.

Learning Outcomes of the Course Unit

1   To have a comprehensive understanding on how can use electrochemistry in bioanalaytical chemistry applications for biosensors aimed to sensitive determinations
2   Be able to understand newer advances in in vivo biosensors and to develop specific methods
3   Be able to make a strategic plans to determine target analyte by in vivo biosensors
4   Be able to design and develop biomaterial immobilization strategies for organic phase biosensors
5   To be develop a biosensor for monitoring and follow up of environmental events
6   To be understand importance of the use of biosensors in the field of environment, biotechnology and medicine
7   To be gained ability to further development of their interest areas with the help of throughout the course of things learned in this important field and additional activities

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Using biocatalytic phenomena for environmetal phenomena
2 Microbial biosensors
3 BOD sensors and gas sensors
4 Determination of enzyme inhibition level based sensors
5 Biosensors for determination toxins and pathogens
6 General owerview in medicine of commercial biosensors
7 Biochemical design of biospecific electrodes
8 Mid-term exam
9 Optic sensors and their applications in medicine
10 Electrochemical sensors used in HIV diagnosis
11 Biosensor applications for determination of some metabolics
12 Immunosensors
13 Problems related to biosensors biocompatibility
14 General evaluation

Recomended or Required Reading

A. Mulchandani and K.R. Rogers, (1998) Enzyme and Microbial Biosensors , HumanaPress,
Malhotra, D. B,&Turner P,F,A.,(2003),Advances in Biosensors,Elsevier Science,Amsterdam, 176 p.
Telefoncu, A. (Ed), (1999), Biyosensörler : Ege Ün.Fen Fak Basım Evi, Izmir, 280 p
Raluca, I.S,&Hassan Y.A.E., (2001), Electrochemical Sensors in Bioanalysis, MarcelDekker, New York, 277 p.
Keller., E.S.U., (1998), Chemical Sensors and Biosensors for Medical and BiologicalApplications, Wiley-VCH, Weinheim,534 p.
Gorton L.,(Ed),(2005)., Biosensors and Modern Biospesific analytical Techniques,Elsevier,Amsterdam, 627 p.

Planned Learning Activities and Teaching Methods

Brain storms, cooperative learning, problem based learning, interactive learning, presentation

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 PRS PRESENTATION
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE * 0.30 +ASG * 0.20 +PRS * 0.20 + FIN * 0.30
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 +ASG * 0.20 +PRS * 0.20 +MARKRST * 0.30


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

Further Notes About Assessment Methods

None

Assessment Criteria

long answer exam, homework, article investigation, prepare project, presentation and in class activities

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

senol.alpat@deu.edu.tr
Buca Eğitim Fakültesi
Kimya Eğitimi Anabilim Dalı
0 232 3012391

Office Hours

Monday 15-17

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Tutorials 2 6 12
Lectures 11 2 22
Preparations before/after weekly lectures 12 2 24
Design Project 1 16 16
Preparation for midterm exam 1 12 12
Preparation for final exam 1 12 12
Preparing assignments 2 16 32
Preparing presentations 2 16 32
Midterm 1 1 1
Final 1 1 1
TOTAL WORKLOAD (hours) 164

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6
LO.1445543
LO.2445543
LO.3445543
LO.4445543
LO.5544545
LO.6544545
LO.7554445