Ksenia Pazdro

Ksenia Pazdro

orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2016 in Journal of Pharmaceutical and Biomedical Analysis
Verified
Journal Article
Closed access
ABAnna Białk-Bielińska
Anna Białk-Bielińska
JKJolanta Kumirska
Jolanta Kumirska
MBMarta Borecka
Marta Borecka
MCMagda Caban
Magda Caban
MPMonika Paszkiewicz
Monika Paszkiewicz
Piotr StepnowskiPiotr Stepnowski
Piotr Stepnowski

21 March 2021 in Plants
Verified
Journal Article
Open access
LSLilianna Sharma
Lilianna Sharma
GSGrzegorz SIedlewicz
Grzegorz SIedlewicz
KPKsenia Pazdro
Ksenia Pazdro
Antibiotic residues have been commonly detected worldwide in freshwater, estuarine, and marine ecosystems. The review summarizes the up-to-date information about the toxic effects of over 60 antibiotics on nontarget autotrophic microorganisms with a particular focus on marine microalgae. A comprehensive overview of the available reports led to the identification of significant knowledge gaps. The data on just one species of freshwater green algae (Raphidocelis subcapitata) constitute 60% of the total information on the toxicity of antibiotics, while data on marine species account for less than 14% of the reports. Moreover, there is a clear knowledge gap regarding the chronic effects of antibiotic exposure (only 9% of studies represent exposition time values longer than 7 days). The review summarizes the information on different physiological endpoints, including processes involved in photosynthesis, photoprotective and antioxidant mechanisms. Currently, the hazard assessment is mostly based on the results of the evaluation of individual chemicals and acute toxicity tests of freshwater organisms. Future research trends should involve chronic effect studies incorporating sensitive endpoints with the application of environmentally relevant concentrations, as well as studies on the mixture effects and combined environmental factors influencing toxicity.

1 May 2015 in Marine Pollution Bulletin
Verified
Journal Article
Closed access
MBMarta Borecka
Marta Borecka
GSGrzegorz SIedlewicz
Grzegorz SIedlewicz
ŁHŁukasz P. Haliński
Łukasz P. Haliński
KSKinga Sikora
Kinga Sikora
KPKsenia Pazdro
Ksenia Pazdro
ABAnna Białk-Bielińska
Anna Białk-Bielińska

22 January 2019 in Sustainability
Verified
Journal Article
Open access
PDF file
Ewa WojciechowskaEwa Wojciechowska
Ewa Wojciechowska
Nicole NawrotNicole Nawrot
Nicole Nawrot
JWJolanta Walkusz-Miotk
Jolanta Walkusz-Miotk
KMKarolina Matej-Lukowicz
Karolina Matej-Lukowicz
KPKsenia Pazdro
Ksenia Pazdro
Sediments of two urban streams in northern Poland outflowing to the Baltic Sea were assessed to explain the spatial variation in relation to urbanization level of the catchment, the role of retention tanks (RTs) and identification of pollution level. During the 3 month period of investigation sediment samples were collected from the inflow (IN) and outflow (OUT) of six RTs located on streams for flood protection. Six heavy metals (HMs) were investigated: Cu, Pb, Zn, Cd, Ni, Cr. The assessment of four geochemical enrichment indices used to quantify contamination of HMs in the sediments at IN and OUT samples was carried out. Contamination factor (CF), pollution load index (PLI), geoaccumulation index (Igeo) and potential ecological risk (RI) were calculated and the indices usefulness was assessed. Also, the hazard quotient (HQ) was calculated to assess health risk associated with dredging works. In sediments from RTs where paved surfaces constituted more than 70% of the catchment the HMs concentrations were from one to three times higher for Ni and from two to 143 times higher for Cu in comparison to soft catchment results. The extremely high Cu concentration (1114 mg/kg d.w.) found in sediments at RT Orłowska IN was most likely associated with large area of roofs covered with copper sheet. Calculation of CF, PLI, Igeo, RI, HQ indicators allows for a complex and multi-dimensional assessment of sediment status. Among these, CF and PLI classified the analyzed sediments as most polluted. Basing on the sedimentary HMs concentrations the health risk level via dermal exposure pathway was assessed as low.