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Dr. Zeynep Altintas


"Infectious diseases, cancer, cardiovascular diseases (CVDs) and neurodegenerative disorders create the most challenging health problems all over the world. The amount of particular molecules have increased in the human body in the event of a disorder and it is possible to diagnose these conditions by developing specific receptors for these particular substances. In the current project, the receptors have been designed and they will be coupled with a non-invasive diagnostics device which will enable to measure cancer and CVDs from body fluids and get rid of the problems and pains arising from biopsy or many other invasive techniques."


Scientific career

Dr Zeynep Altintas was awarded two BSc degrees in 2007. She studied at Bogazici University, Cranfield University, European Bioinformatics Institute (EBI)-EMBL (Cambridge, UK) and Sabanci University during her undergraduate and graduate education. She received her PhD degree in February 2012 and following this she joined Cranfield University where she has been thesis advisor for 4 PhD and 7 MSc students since 2012 and also a part of teaching in Biomedical Engineering. To date, she has worked on different projects as an advisor, co-advisor or researcher. Her previous and current research activities have been supported by TUBITAK, Erasmus, Harvest Plus, Sierra Sensors (Germany), Aptamer Solutions (York, UK), European Commision (EU) and Marie Curie Actions.

Upon receiving grants from EU and Marie Curie Actions, she has moved to Technical University of Berlin to conduct her multidisciplinary projects in a close collaborations with Professor Schomäcker (TU Berlin), Professor Hildebrandt (TU Berlin), Professor Mroginski (TU Berlin), Professor Wollenberger (University of Potsdam) and Professor Scheller (Fraunhofer Institute), Professor Süssmuth (UNICAT) as well as other members of UNICAT.

To date, she has recorded 30 journal papers (21 published/ 9 submitted), 33 conference papers, 6 book chapters (published/accepted), 3 patent applications and several invited talks. She is the recipient of 1st prize award in Female Researcher Network (FeRN) Annual Lecture 2015 (Cranfield, UK), Biosensors 2014 (Melbourne, Australia), Nano4water 2014 (Stockholm, Sweden), Aptamer Solution Competition 2012 (York, UK), also Gursel Sonmez Award for outstanding PhD researcher and PhD thesis (2012), British Council Award for selected early career academic (2014) and TUBITAK BIDEB-2221 for internationally recognized scientist from abroad (2016). Dr Altintas is also a member of the Royal Society of Chemistry (RSC) and she is included in the editorial boards of two international journals in addition to acting as the reviewer for several important journals in her areas of expertise such as Analytical Chemistry (ACS), Biosensors and Bioelectronics, Sensors and Actuators B, Computers in Biology and Medicine, Environmental International, Talanta (ELSEVIER), Chemical Science (RSC), Macromolecular Bioscience (Wiley-VCH).


Research interests

  • Sensor/nanosensor development for environmental, industrial and medical applications
  • Nanotechnology applications in analytical and biological sciences
  • Computational biology and ligand design
  • Molecular recognition, bio-sensing and diagnostics
  • Nanomaterial applications in health care
  • Molecularly imprinted polymer technologies
  • Molecular modelling



Email: zeynep.altintas[at]tu-berlin.de




IPODI Research Project

Nanomaterial-Based Biosensors for Health Care Diagnostics

Duration: 15 May 2016 – 14 May 2018

Mentor: Prof. Dr. Reinhard Schomäcker, Faculty II, Institut für Chemie

Abstract: Infectious diseases, cancer, CVDs and neurodegenerative disorders create the most challenging health problems all over the world. 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 the 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 biomarker specific artificial receptors. The receptors will be designed by computational simulation programs prior to manufacturing. The engineered receptors will be characterized using different techniques to confirm the successful production. They will be then utilized to develop a biosensor system. The project will not only provide a non-invasive diagnostic tool but also a quick (~3 min per sample), cost-effective, reliable and highly sensitive diagnostic approach by combining supramolecular chemistry techniques with biosensor technology. The potential application of the developed receptors for in vivo imaging will also be investigated.

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