Sergej Suzdalev

Dr. Sergej Suzdalev


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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23 March 2023 in Toxics
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Journal Article
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Reza PashaeiReza Pashaei
Reza Pashaei
VSViktorija Sabaliauskaitė
Viktorija Sabaliauskaitė
SSSergej Suzdalev
Sergej Suzdalev
ABArūnas Balčiūnas
Arūnas Balčiūnas
IPIeva Putna-Nimane
Ieva Putna-Nimane
RDReda Dzingelevičienė
Reda Dzingelevičienė
Microplastic concentrations in surface water and wastewater collected from Daugavpils and Liepaja cities in Latvia, as well as Klaipeda and Siauliai cities in Lithuania, were measured in July and December 2021. Using optical microscopy, polymer composition was characterized using micro-Raman spectroscopy. The average abundance of microplastics in surface water and wastewater samples was 16.63 ± 20.29 particles/L. The dominant shape group of microplastics in water was fiber, with dominant colors found to be blue (61%), black (36%), and red (3%) in Latvia. Similar distribution in Lithuania was found, i.e., fiber (95%) and fragments (5%) with dominant colors, such as blue (53%), black (30%), red (9%), yellow (5%), and transparent (3%). The micro-Raman spectroscopy spectra of visible microplastics were identified to be polyethylene terephthalate (33%) and polyvinyl chloride (33%), nylon (12%), polyester (PS) (11%), and high-density polyethylene (11%). In the study area, municipal and hospital wastewater from catchment areas were the main reasons for the contamination of microplastics in the surface water and wastewater of Latvia and Lithuania. It is possible to reduce pollution loads by implementing measures such as raising awareness, installing more high-tech wastewater treatment plants, and reducing plastic use.

24 April 2025 in Sustainability
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Journal Article
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AAAiste Andriule
Aiste Andriule
SSSergej Suzdalev
Sergej Suzdalev
EČErika Čepienė
Erika Čepienė
IDInga Dailidiene
Inga Dailidiene
This study examines the spatial distribution of chemical elements in the urban environment of Klaipėda Seaport City, assessing their concentrations in industrial, residential, and port zones. Particulate matter (PM) samples were collected using passive sampling methods and analyzed for their chemical composition to identify pollution patterns. Beyond spatial pollution analysis, a detailed correlation analysis of pollutants was conducted to determine potential emission sources across different functional city zones. The results indicate significantly elevated concentrations of heavy metals in port and transport zones, highlighting the necessity for targeted air quality improvement measures and innovative pollution mitigation strategies.

24 November 2021 in Applied Sciences
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Journal Article
Open access
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Paulius RapalisPaulius Rapalis
Paulius Rapalis
RZRimantė Zinkutė
Rimantė Zinkutė
NLNadežda Lazareva
Nadežda Lazareva
SSSergej Suzdalev
Sergej Suzdalev
Ričardas TaraškevičiusRičardas Taraškevičius
Ričardas Taraškevičius
Geochemical investigations of total suspended particulates (TSP) help detect hotspots and emission sources in port cities with stevedoring operations. The aim was to reveal these sources via geochemical indices (gI). TSP were collected in Klaipėda using original passive samplers in ten sites during four periods, during one of them, in ten additional sites near iron ore stevedoring (IOS). The contents of 22 elements (PHEs, crustal, Br, Cl) were determined by EDXRF in TSP and characteristic dust (CD) of stevedored iron ore, apatite, phosphorite, potassium fertilizers, and in waste incineration ash. Median Fe content in TSP near IOS was ~29%. The significant anthropogenic origin of clusters Fe–Cr, Sr–P, V–Ni–Zn–Cu, Pb–As, and Mg–Ca, Br–S–Cl was confirmed by gI mapping and analysis of CD. Significant temporal variability of Cl, S, Sr, Ni, Br, V, and Zn due to weather changes was revealed. Near IOS, significantly higher values of gI were found for Fe and Cr, while far from IOS, for K, Sr, Ti, Rb, Cu, Al, Si, Zr, Ca, Mg. Significantly higher values of normalized enrichment factor near IOS were not only for Fe and Cr, but also for As, Pb, S, Mn, Br, and Cl.