Justyna Klyta

Mrs. Justyna Klyta

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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4 September 2024 in Molecules
Verified
Journal Article
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MAMohamed Younes Aksouh
Mohamed Younes Aksouh
NBNAIMA BOUDIEB
NAIMA BOUDIEB
BNBENOSMANE Nadjib
BENOSMANE Nadjib
YMYacine Moussaoui
Yacine Moussaoui
RMRajmund Michalski
Rajmund Michalski
Joanna KończykJoanna Kończyk
Joanna Kończyk
This study investigates heavy metal contamination in soils, irrigation water, and agricultural produce (fruits: Vitis vinifera (grape), Cucumis melo var. saccharimus (melon), and Citrullus vulgaris. Schrade (watermelon); vegetables: Lycopersicum esculentum L. (tomato), Cucurbita pepo (zucchini), Daucus carota (carrot), Lactuca sativa (lettuce), Convolvulus Batatas (potato), and Capsicum annuum L. (green pepper)) in the Boumerdes region of Algeria. The concentrations of seven heavy metals (cadmium (Cd), chromium (Cr), copper (Cu), iron (Fe), nickel (Ni), lead (Pb), and zinc (Zn)) in soil and food samples were analyzed using atomic absorption spectrometry. Health risks associated with these metals were evaluated through the estimated daily intake (EDI), non-carcinogenic risks (using target hazard quotient (THQ), total target hazard quotient (TTHQ), and hazard index (HI)), and carcinogenic risks (cancer risk factor (CR)). Statistical analyses, including cluster analysis (CA) and Pearson correlation, were conducted to interpret the data. The results revealed the highest metal transfer as follows: Cd was most significantly transferred to tomatoes and watermelons; Cr to carrots; Cu to tomatoes; and Fe, Ni, Pb, and Zn to lettuce. Among fruits, the highest EDI values were for Zn (2.54·10−3 mg/day) and Cu (1.17·10−3 mg/day), with melons showing the highest Zn levels. For vegetables, the highest EDI values were for Fe (1.68·10−2 mg/day) and Zn (8.37·10−3 mg/day), with potatoes showing the highest Fe levels. Although all heavy metal concentrations were within the World Health Organization’s permissible limits, the HI and TTHQ values indicated potential health risks, particularly from vegetable consumption. These findings suggest the need for ongoing monitoring to ensure food safety and mitigate health risks associated with heavy metal contamination.

1 September 2020 in Microchemical Journal
Verified
Journal Article
Closed access
JKJustyna Klyta
Justyna Klyta
MCMarianna Czaplicka
Marianna Czaplicka

11 March 2025 in Journal of Hazardous Materials
Verified
Journal Article
Closed access
MBMichał S. Bućko
Michał S. Bućko
KJKatarzyna Jaworek
Katarzyna Jaworek
KJKatarzyna Janoszka
Katarzyna Janoszka
JKJoanna Kernert
Joanna Kernert
JKJustyna Klyta
Justyna Klyta
MMMarta Musioł
Marta Musioł

31 October 2020 in Journal of Environmental Health Science and Engineering
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RMRajmund Michalski
Rajmund Michalski
PPPaulina Pecyna-Utylska
Paulina Pecyna-Utylska
JKJoanna Kernert
Joanna Kernert
KGKatarzyna Grygoyć
Katarzyna Grygoyć
JKJustyna Klyta
Justyna Klyta
The research focused on assessing the risk to human health resulting from the content of selected Cr, Co, Mn, Cu, Ni, Pb, As, Zn and Sr metals in tap water supplied by Upper Silesia Water Plant to the inhabitants of the Upper Silesia region (Poland). It is the main supplier of drinking water to several million inhabitants of this agglomeration. Samples were taken and analyzed quarterly in 2019. The sampling points were chosen to help identify the source when an elevated level of a particular contaminant is observed. ICP-MS and ICP-OES have been used to measure the concentrations of those elements. The chronic daily intake (CDI), hazard quotient (HQ) and hazard index (HI) results for non-carcinogenic risk assessment of metals in tap water has been assessed. CDI values of non-carcinogenic metals were higher in children than in adults; the CDI values for adults and children were found in the order of: Zn > Sr > Cu > Mn > Ni > Pb > Cr > Co > As. All the studied metals had HQ values below 1, the risks caused by the non-carcinogenic metals decreased in the following order: Zn > Cu > Co > As > Sr > Pb > Cr > Ni > Mn. HI values were also less than 1, that meaning that the analyzed tap water is safe for human consumption. The concentration of As, Cr, Cu, Mn and Ni in analyzed tap water is in accordance with Polish and international requirements.

1 December 2019 in Desalination and Water Treatment
Verified
Journal Article
Open access
MCMarianna Czaplicka
Marianna Czaplicka
KJKatarzyna Jaworek
Katarzyna Jaworek
JKJustyna Klyta
Justyna Klyta

27 August 2021 in Energies
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Journal Article
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MCMarianna Czaplicka
Marianna Czaplicka
JKJustyna Klyta
Justyna Klyta
BKBogusław Komosiński
Bogusław Komosiński
TKTomasz Konieczny
Tomasz Konieczny
KJKatarzyna Janoszka
Katarzyna Janoszka
In this study, the effect of the addition of waste on the emissions from coal co-combustion was investigated. Coal was co-combusted with different additions of medium-density fiberboard and polyethylene terephthalate plastic (10 and 50%), in a low-power boiler (18 W). Polycyclic aromatic hydrocarbons, phenols, alkylphenols, phthalates, and biomass burning markers emissions were determined. Gas chromatography, coupled with a mass spectrometry detector, was used to analyze these compounds in particulate matter and gas phase, after extraction and derivatization. The emissions of polycyclic aromatic hydrocarbons were the highest among all the compounds determined. The total emission of these compounds was 215.1 mg/kg for coal, and 637.7 and 948.3 mg/kg for a 10 and 50% additive of polyethylene terephthalate plastic, respectively. For the 10 and 50% additive of medium-density fiberboard, the total emission was 474.2 and 464.0 mg/kg, respectively. The 50% addition of PET also had the highest emissions of phenols (638.5 mg/kg), alkylphenols (246.5 mg/kg), and phthalates (18.1 mg/kg), except for biomass burning markers, where the emissions were the highest for the 50% addition of medium-density fiberboard (541.3 mg/kg). In our opinion, the obtained results are insufficient for the identification of source apportionment from household heating.