Dr Jakub Surmacki (Chemical Sciences, http://orcid.org/0000-0001-6654-0286)
His research work concerns early detection of cancer changes using modern optical methods.
The research concerns:
- indication of Raman's markers of human breast, brain and lung neoplastic lesions,
- to determine the effect of photosensitizers on ex-vivo tissue vibratory spectra (use of sensitizers in photodynamic therapy to destroy cancer-altered tissue),
- to detect trace concentrations of organic substances (single molecules) by amplifying the Raman scattering signal achieved by using nano-metallic particles,
- production of silver nano-particles by chemical reduction,
- analysis of normal and cancerous cell lines.
He participated in the Erasmus Intensive Programme: "Ultra Short and Intense Laser Technology and Metrology" organized by Bordeaux University in 2009.
He received an honorable mention for his doctoral thesis in 2012 and the Special Award of the Rector of Lodz University of Technology in 2013.
He was a scholarship holder of the Foundation for Polish Science (Scholarship for Young Scientists START-2014) and the Own Scholarship Fund of Lodz University of Technology.
He is a co-author of 26 articles on the JCR list with 557 citations and two book chapters.
He has completed over two years of postdoctoral research internship at Cavendish Laboratory and Cancer Research UK at the University of Cambridge in the team of Prof. Sarah Bohndiek.
He participated in foreign and Polish research projects, including the 7th Framework Programme, Cancer Research UK grant and NCN grants.
In 2018-2019 he led a research project: "Searching for spectroscopic markers of response of germ cell tumor cells to ionizing radiation". (NCN grant, Miniature-2, 2018/02/X/NZ3/00590).
In 2019, together with the Laboratory team of Laser Molecular Spectroscopy led by Prof. Halina Abramczyk, he received the Special Award and Platinum Medal of the World Competition of Chemical Inventions at the International Warsaw Inventions Show IWIS 2019 for "Identification of cancers based on human tissue's Raman imaging and spectroscopy - translation to clinical diagnostic.