TU Berlin

IPODIZeynep Altintas

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Zeynep Altintas


Infectious diseases, cancer, cardiovascular diseases and neurodegenerative disorders create the most challenging health problems in all over the world. Also currently 34 million people are living with HIV worldwide according to the global prediction of 2011. The most critical point for best prognosis is to diagnose these diseases at their early stages. The diseases can be detected through the amount of certain molecules found in the human body which are called biomarkers. In this project, a biosensing platform will be constructed for the early diagnosis of these health problems by developing computational simulation programs and the production recipes of the receptors will be constructed accordingly. The engineered receptors will be characterized using different techniques to confirm the quality, uniformity and stability of the production. The high quality and monodispersed receptors will be then used for capacity and/or affinity test analysis. After the confirmation of the high success of the produced synthetic receptors by employing characterization tools and affinity/capacity based methods, they will be used to develop affinity-based biosensors. This method will provide not only the high affinity binding data but also a quick, cost-effective, reliable and highly sensitive diagnostic method by combining molecular imprinting techincs with biosensor technology.

Curriculum Vitae

TU Berlin, since 2017

Group Leader, Chemical Engineering


TU Berlin, 2016-2018

IPODI Fellow, Chemical Engineering



Visiting Professor and Scientific Advisor (on Sabbatical), National Research Institute of Electronics and Cryptology


Cranfield University, 2013-2016

Faculty Member, Biomedical Engineering


Cranfield University, 2012-2013

Post-doctoral Fellow, Cranfield Biotechnology Centre


Sabanci University, 2011-2012

PhD Researcher, Microelectronics and Bioengineering


Cranfield University, 2009-2010

PhD Researcher, Analytical Chemistry


EMBL-European Bioinformatics Institute, 2010

PhD Student, Computational Biology


Personal Website at Institute of Chemistry, Technische Universit├Ąt Berlin


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