Publications by authors named "Vasiliki I Boti"

4-hydroxybenzoic acid (4-HBA) is an aromatic compound with high chemical stability, being extensively used in food, pharmaceutical and cosmetic industries and therefore widely distributed in various environments. Bioremediation constitutes the most sustainable approach for the removal of 4-hydroxybenzoate and its derivatives (parabens) from polluted environments. Sphe3, a strain capable of degrading several aromatic compounds, is able to grow on 4-HBA as the sole carbon and energy source.

View Article and Find Full Text PDF

Nowadays the occurrence and associated risks of Pharmaceutical Active Compounds (PhACs) in the aquatic environment comprises a major issue. In the present study, a comprehensive survey on contamination profiles, occurrence, removals, temporal variation and ecological risk of multiclass multiresidue PhACs, such as antibiotics, non-steroidal anti-inflammatories, lipid regulators and phsychiatrics, (including past and newly monitored PhACs as well as some of their metabolites) was performed in wastewaters from the WWTP of Ioannina University hospital along one year period on a monthly sampling basis. WWTP influent and effluent samples were analyzed for physicochemical quality parameters and PhACs concentration levels using Ultra High Performance Liquid Chromatography-Orbitrap-Mass Spectrometry (UHPLC-Orbitrap-MS), after Solid Phase Extraction (SPE) through Oasis HLB cartridges.

View Article and Find Full Text PDF

The occurrence, removal, mass loading, seasonal influence and environmental risk assessment of nine psychiatric pharmaceuticals and four of their selected metabolites, were studied in one hospital and one urban wastewater treatment plant (WWTP) in Ioannina city, in northwestern Greece, providing information about the efficiency of the plants and their contribution into the final receiver's flow. Samples were collected from the influents and the effluents of the plants in different sampling campaigns, from July to December 2016. Analytical methodology was based on ultra-high performance liquid chromatography-Orbitrap high-resolution mass spectrometry, after solid-phase extraction through Oasis HLB cartridges.

View Article and Find Full Text PDF

This work reports on a rapid and sensitive analytical method intended to be used for investigation of 25 multiclass pharmaceuticals in sediments. The method comprises a modified quick, easy, cheap, effective, rugged and safe (QuEChERS) extraction, followed by ultra-high-performance liquid chromatography-high-resolution linear ion trap/Orbitrap mass spectrometry, operated in positive ionization mode. The crucial parameters of both extraction and cleanup as well as those related to liquid chromatography and mass spectrometry were optimized and the method was validated in terms of accuracy, method detection and quantification limits, precision, linearity, and matrix effects.

View Article and Find Full Text PDF

The present study describes the optimization and validation of an analytical method based on quick, easy, cheap, effective, rugged, and safe (QuEChERS) extraction and purification with dispersive solid-phase extraction (dSPE) before analysis, followed by ultrahigh-performance liquid chromatography-high-resolution linear ion trap/Orbitrap (LTQ Orbitrap) mass spectrometry for the determination of 18 pesticides in sediment. To optimize process efficiency, parameters such as pH, extraction salts, sediment amount, and cleanup sorbents were evaluated. Identification was based on both accurate mass and retention time, and further confirmation was achieved by mass spectrometry fragmentation.

View Article and Find Full Text PDF

Matrix solid-phase dispersion (MSPD) as a sample preparation method for the determination of two potential endocrine disruptors, linuron and diuron and their common metabolites, 1-(3,4-dichlorophenyl)-3-methylurea (DCPMU), 1-(3,4-dichlorophenyl) urea (DCPU) and 3,4-dichloroaniline (3,4-DCA) in food commodities has been developed. The influence of the main factors on the extraction process yield was thoroughly evaluated. For that purpose, a 3 fractional factorial design in further combination with artificial neural networks (ANNs) was employed.

View Article and Find Full Text PDF