Biljana Otašević, PhD
Biljana Otašević graduated in 2003, defended doctoral thesis in 2011 and finished specialist studies required by the health system in 2019 on University of Belgrade-Faculty of pharmacy.
She is involved in theoretical and practical classes on courses within integrated academic studies held at the Department of drug analysis. Within postgraduate programmes, she participates in specialist academic studies Release of medicinal product on the market and Biological drugs, specialist studies required by the health system Testing and control of drugs and doctoral academic studies in the field of Drug analysis.
She mentors 3 doctoral and 2 specialist theses and numerous final exams on integrated academic studies. She is a member of the commission for the defence of doctoral, specialist thesis and final exams, Commission for monitoring and improving the quality of postgraduate studies and Commission for doctoral studies at University of Belgrade-Faculty of Pharmacy and acted as external reviewer of doctoral theses on foreign universities. She mentored several student research papers and was a member of the expert commissions of students’ mini-congresses within CNIRS and the Congress of students of biomedical sciences of Serbia.
Since 2003, she participates in national basic research projects in the field of chemistry. She was the principal investigator on the project of bilateral scientific cooperation with Slovenia (2016-2017) and is an associate on the project of bilateral cooperation with Germany (2020-2021).
Her research focuses on the analysis of pharmacologically active compounds and their impurities and stability testing by forced degradation studies applying RP-(U)HPLC coupled with DAD, CAD, ESI-MS or APCI-MS systems, LC-MS and LC-MS/MS techniques while the chemometric approach is implemented in method development and validation. The fundamental understanding of aforementioned analytical systems is achieved through interpretation of models built using machine learning algorithms in which the relationship between the chemical structure of compounds and their analytical response is quantitatively expressed.
She published 50 scientific papers, 39 of which in international journals from the SCI list. She acted as lecturer, co-author of oral presentations, member of scientific board or chair of sessions on 10 international and 5 national scientific conferences, presented her work on 52 international and 14 national scientific conferences, has 300 citations without self-citations and h-index of 11.
- Ruben Pawellek, Jovana Krmar, Adrian Leistner, Nevena Đajić, Biljana Otašević, Ana Protić, Ulrike Holzgrabe. Charged aerosol detector response modeling for fatty acids based on experimental settings and molecular features: a machine learning approach. Journal of cheminformatics 2021; 13: 53; DOI: 10.1186/s13321-021-00532-0. (journal rankings M21, IF=5.514 (in 2020) in the field Computer science, Interdisciplinary Applications 20/112)
- Nevena Maljurić, Miloš Petković, Mira Zečević, Biljana Otašević, Anđelija Malenović, Ulrike Holzgrabe, Ana Protić. A comprehensive study on retention of selected model substances in β-cyclodextrin-modified high performance liquid chromatography. Journal of chromatography A 2021; 1645: 462120; DOI: 10.1016/j.chroma.2021.462120. (journal rankings M21, IF=4.759 (in 2020) in the field Chemistry, Multidisciplinary 17/83)
- Jovana Krmar, Milan Vukićević, Ana Kovačević, Ana Protić, Mira Zečević, Biljana Otašević. Performance comparison of nonlinear and linear regression algorithms coupled with different attribute selection methods for quantitative structure-retention relationships modeling in micellar liquid chromatography. Journal of chromatography A 2020; 1623: 461146. DOI: 10.1016/j.chroma.2020.461146. (journal rankings M21, IF=4.759; in the field Chemistry, Multidisciplinary 17/83)
- Nevena Maljurić, Biljana Otašević, Anđelija Malenović, Mira Zečević, Ana Protić, Quantitative structure retention relationship modeling as potential tool in chromatographic determination of stability constants and thermodynamic parameters of β-cyclodextrin complexation process, Journal of chromatography A 2020; 1649: 460971. DOI: 10.1016/j.chroma.2020.460971 (journal rankings M21, IF=4.759 in the field Chemistry, Multidisciplinary 17/83)
- Marija Mitrović, Ana Protić, Anđelija Malenović, Biljana Otašević, Mira Zečević. Analytical Quality by Design development of an ecologically acceptable enantioselective HPLC method for timolol maleate enantiomeric purity testing on ovomucoid chiral stationary phase. Journal of Pharmaceutical and Biomedical Analysis 2020; 180: 113034. DOI: 10.1016/j.jpba.2019.113034 (journal rankings M22, IF=3.209 in the field Chemistry, Analytical 100/270)
- Nevena Maljurić, Biljana Otašević, Jelena Golubović, Jovana Krmar, Mira Zečević, Ana Protić, A new strategy for development of eco-friendly RP-HPLC method using Corona Charged Aerosol Detector and its application for simultaneous analysis of risperidone and its related impurities, Microchemical journal 2020; 153: 104394. DOI: 10.1016/j.microc.2019.104394 (journal rankings M21, IF=3.594 in the field Chemistry, Analytical 19/86)
- Biljana Otašević, Jasmina Šljivić, Ana Protić, Nevena Maljurić, Anđelija Malenović, Mira Zečević. Comparison of AQbD and grid point search methodology in the development of micellar HPLC method for the analysis of cilazapril and hydrochlorothiazide dosage form stability. Microchemical journal 2019; 145: 655-663. DOI: 10.1016/j.microc.2018.11.033 (journal rankings M21, IF=3.594 in the field Chemistry, Analytical 19/86)
- Nevena Maljurić, Jelena Golubivić, Biljana Otašević, Mira Zečević, Ana Protić, Quantitative structure –retention relationship modeling of selected antipsychotics and their impurities in green liquid chromatography using cyclodextrin mobile phases. Analytical and bioanalytical chemistry 2018; 410 (10): 2533-2550. DOI 10.1007/s00216-018-0911-3 (journal rankings M21, IF=3.286 in the field Chemistry, Analytical 18/86)
- Jelena Golubović, Ana Protić, Biljana Otašević, Mira Zečević. Quantitative structure-retention relationships applied to development of liquid chromatography gradient-elution method for the separation of sartans. Talanta 2016; 150: 190-197. DOI: 10.1016/j.talanta.2015.12.035. (journal rankings M21, IF=4.162 in the field Chemistry, Analytical 9/76)
- Jelena Golubović, Claudia Birkemeyer, Ana Protić, Biljana Otašević, Mira Zečević. Structure-response relationship in electrospray ionization-mass spectrometry of sartans by artificial neural networks. Journal of Chromatography A 2016; 1438: 123-132. (journal rankings M21, IF=3.981 in the field Chemistry, Analytical 11/76)