Hosseini / Ibrahim Novel Polymeric Biochips for Enhanced Detection of Infectious Diseases

1. Auflage 2016
ISBN: 978-981-10-0107-9
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 63 Seiten, eBook

Reihe: SpringerBriefs in Forensic and Medical Bioinformatics

This book focuses on the creation and development of polymeric platforms
(different compositions) from a specific polymer system. This system can be used as an adaptive technique for producing sensitive analytical devices,
or for simple integration into
existing bioanalytical tools in order to enhance the detection signal.

Zielgruppe

Research

Autoren/Hrsg.

Hosseini, Samira

Ibrahim, Fatimah

Inhaltsverzeichnis

Current
optical biosensors in clinical practice.- Alternative chemical approach.- Biochips
Fabrication and surface characterization .- Application of the biochips in
dengue virus detection.- Summary.- Appendix

Über Autor(innen)

Samira Hosseini obtained her BsC degree in Applied Physics at Tehran University, Iran and her MsC degree in Polymer Chemistry at Chemistry Department, University of Malaya, Malaysia. Currently she is finalizing her PhD degree in Biomedical Engineering at Department of Biomedical Engineering at University of Malaya, Malaysia. Her main areas of research are surface engineering, interface science, bioanalytical systems and polymeric materials.

Fatimah Ibrahim obtained her PhD degree in Biomedical Engineering from University of Malaya (UM) in 2005. She was a senior lecturer at Universiti Teknologi MARA and in 1999, she joined University of Malaya, and involved in setting up one of the first Departments of Biomedical Engineering in Malaysia. She did her Biological and Micro-Electromechanical Systems (BioMEMS) research attachment at University of Irvine California in 2010. She is currently a Professor in the Department of Biomedical Engineering and Head of Centre for Innovation in Medical Engineering (CIME) at UM. Her research interests are in detection and monitoring of diseases, physiological modeling and measurement, biosensors, BioMEMS and artificial intelligence applications in medicine.