COURSE UNIT TITLE

: NANOBIOSENSORS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
NNE 5005 NANOBIOSENSORS ELECTIVE 3 0 0 8

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

Nanoscience and Nanoengineering
Nanoscience and Nanoengineering
Industrial Ph.D. Program In Advanced Biomedical Technologies
Industrial Ph.D. Program In Advanced Biomedical Technologies
Nanoscience and Nanoengineering

Course Objective

Nanostructured materials or nanomaterials which are materials with structural units on a nanometer scale in the least one direction have received much attention worldwide over the past decade.
A biosensor is a measurement system for the detection of an analyte that combines a biological compenent with a physicochemical detector, and a nanobiosensor is a biosensor that an the nano-scale size.
Nanotechnology approaches are offering a large series of nanoparticles (NPs) with special interest for biosensing systems.
NPs are gaining interest biosensing applications due to the size and shape dependent physical, chemical and electrochemical properties. Using NPs for preparation of biosensors provide improvement of electrode sensitivity.
This course Nanostructured Materials in Electrochemistry focuses on the importance of elctrochemistry in the fabrication as well as the functional capabilities of a great many nanostructured materials, processes and devices.

Learning Outcomes of the Course Unit

1   Understanding of the basic principles of biosensors and nanobiosensors
2   Understanding of the application of nanoparticles at electrochemical methods
3   Learning the methods of preperation of nanoparticles based sensors
4   Learning of nanobiosensors of application areas today
5   Making of the literature follow and comment

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Biosensors
2 Types of Biosensors
3 Measurement devices of Biosensors
4 Immobilization methods of Biosensors
5 What is Nanobiosensors 5.1. Part of Nanobiosensors 5.2. Functioning of Nanobiosensors
6 Nanostructured Materials Synthesized Using Electochemical Techniques
7 Nanotubes, Nanowires, CNTs, Metal nanoparticules
8 Mid-term examination
9 Nanoparticle-based Optical biosensors and bioassay
10 Nanowire Field Effect Nanobiosensors (EFT)
11 Nanoparticle-based electrochemical biosensors and bioassay
12 Biochips- Fundamentals and applications
13 DNA Biosensors Based on Nanostrucruted Materials
14 Biological, Enviromental, Food and Medicine Applications of Nanobiosensors

Recomended or Required Reading

Eftekhari A., Nanostructured Materials in Electrochemistry, WILEY-VCH, Germany 2008.
Zhang X., Ju, H., Wang J., Electrochemical Sensors, Biosensors and Their Biomedical Applications, Elsevier, USA, 2008

Planned Learning Activities and Teaching Methods

Lectures, application laboratory, presentation, brain storm, cooperative learning

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 * 0.10 + FIN * 0.40
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE* 0.30 + ASG * 0.20 + PRS * 0.10 + RST * 0.40


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

Further Notes About Assessment Methods

None

Assessment Criteria

long answer exam, homework, investigate literature, project preparation, presantation 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
OFMA-Kimya Eğitimi ABD
Buca-IZMIR

Office Hours

Friday 15-17

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Tutorials 2 6 12
Lectures 11 3 33
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 12 12
Preparation for final exam 1 12 12
Preparing assignments 2 16 32
Preparing presentations 2 16 32
Design Project 1 24 24
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 189

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.132443213454333
LO.232443213454333
LO.332443213454333
LO.432443213454333
LO.532443213454333