Florjana Zogaj

Ms. Florjana Zogaj

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

View All Publications
10 January 2022 in Applied Sciences
Verified
Journal Article
Open access
PDF file
ARAgim Rysha
Agim Rysha
Granit KastratiGranit Kastrati
Granit Kastrati
LBLejla Biber
Lejla Biber
VSValon Sadiku
Valon Sadiku
ARAurorë Rysha
Aurorë Rysha
EKEdona Kabashi-Kastrati
Edona Kabashi-Kastrati
This study evaluated the physicochemical properties (moisture, pH, electrical conductivity, free acidity, hydroxymethylfurfural (HMF), proteins, insoluble solids, and ash) of 45 Kosovo’s and imported honey samples, using methods provided by national and international standards. The moisture values of all honey samples analyzed were below 20%. The free acidity was above 50.0 meq kg−1 in 14 out of 33 samples (42%) collected in Kosovo, while 2 out of 12 imported honey samples (16.7%) showed higher values than 50 meq kg−1. In this study, 7 out of 33 honey samples (21%) from Kosovo and one out of 12 honey samples from imports had soluble solids content below 80 °Brix. In terms of HMF, 5 out of 33 Kosovo honey samples (15%) and 4 out of 12 imported honey samples (33%) exceeded 40 mg/kg, which is the maximum content of HMF set in standards. The values of some physicochemical parameters (free acidity, HMF, and soluble solids) of local and imported honey samples are not within the quality limits set in legislation. Further studies are needed to evaluate the properties of fresh honey produced in Kosovo and the stability of honey during prolonged storage.

23 April 2026 in Limnological Review
Verified
Journal Article
Open access
PDF file
FZFlorjana Zogaj
Florjana Zogaj
TBTatjana Blazhevska
Tatjana Blazhevska
FSFatbardh Sallaku
Fatbardh Sallaku
Rakesh Ranjan ThakurRakesh Ranjan Thakur
Rakesh Ranjan Thakur
HÇHazir Çadraku
Hazir Çadraku
Bojan ĐurinBojan Đurin
Bojan Đurin
Physicochemical and microbiological parameters are important indicators of drinking water quality. This study assessed the quality of groundwater used for drinking in four regions of Kosovo at 16 locations using an integrated assessment framework that combined physicochemical, microbiological, and Water Quality Index (WQI) approaches. The results reveal substantial spatial variability in water quality. While most physicochemical parameters remained within recommended limits, elevated values of total dissolved solids (up to 2792.5 mg/L), electrical conductivity (up to 2768.5 µS/cm), nitrate (up to 60.75 mg/L), and phosphate (up to 0.875 mg/L) were observed at several locations, indicating localized hydrogeochemical and anthropogenic influences. Dissolved oxygen levels were generally low (0.68–5.49 mg/L), reflecting limited aeration conditions in groundwater systems. Microbiological analysis revealed critical contamination, with Escherichia coli concentrations up to 299.9 CFU/100 mL, and all sampling sites exceeded permissible limits, indicating widespread fecal pollution and rendering the groundwater unsafe for direct consumption. WQI assessment further confirmed this condition, where 93.75% of locations were classified as medium quality using the NSF-WQI method, whereas the WA-WQI method categorized 68.75% of samples as poor and 6.25% as very poor. The novelty of this study lies in the integrated evaluation of hydrogeochemical processes and microbiological contamination using dual WQI methods and multivariate statistical analysis, providing a comprehensive understanding of groundwater degradation pathways. The findings are significant for policymakers, environmental managers, and public health authorities, highlighting the urgent need for groundwater treatment, improved sanitation infrastructure, and sustainable water resource management strategies in vulnerable regions.

7 July 2026 in Limnological Review
Verified
Journal Article
Open access
PDF file
FZFlorjana Zogaj
Florjana Zogaj
TBTatjana Blazhevska
Tatjana Blazhevska
FSFatbardh Sallaku
Fatbardh Sallaku
Rakesh Ranjan ThakurRakesh Ranjan Thakur
Rakesh Ranjan Thakur
HÇHazir Çadraku
Hazir Çadraku
Bojan ĐurinBojan Đurin
Bojan Đurin
Groundwater is vital to subsurface ecosystems and to maintaining water supplies for human and environmental needs. Heavy metal pollution of water bodies poses a significant threat to environmental health and human well-being. In this paper, a detailed spatiotemporal analysis of heavy metal pollution at a network of 35 sampling sites is presented for the summer, autumn, and winter seasons. The water samples were analyzed based on the concentration (μg/L) of eight priority metals, such as Lead (Pb), Mercury (Hg), Cadmium (Cd), Arsenic (As), Chromium VI (Cr-VI), Copper (Cu), Zinc (Zn), as well as Iron (Fe). Measuring contamination levels, identifying space hotspots, and explaining seasonal variations were the key tasks. The results show that Fe, Zn, and Cu concentrations are consistently high across seasons, with mean values ranging from 234.3 to 253.2 µg/L (Fe), 163.2 to 175.6 µg/L (Zn), and 107.0 to 109.2 µg/L (Cu), indicating a widespread geogenic or diffuse source. The most significant seasonal deviation was observed in the fall when there were unusually high levels of Cd and Hg, with mean concentrations reaching 0.476 µg/L and 0.312 µg/L, respectively, suggesting a strong seasonal contamination event or mobilization process. The spatial analysis showed that the locations (e.g., L6, L8, L10, L28, L29) exhibited common hotspots for different metals, with maximum concentrations reaching up to 793.3 µg/L (Fe), 602.3 µg/L (Zn), and 508 µg/L (Cu). Principal Component Analysis (PCA) effectively separated seasonal trends and classified metals into anthropogenic (Pb, Cd, Hg, Cr (VI)) and geogenic/diffuse (Fe, Zn, Cu) groups. The health risk assessment indicated no significant non-carcinogenic risk, although children are more vulnerable, while arsenic levels in winter approached the upper acceptable carcinogenic limit (up to 1.1 × 10−4). Overall, the study highlights the importance of multi-seasonal monitoring by capturing temporally abrupt contamination events and provides a novel integrated framework that combines seasonal analysis, spatial hotspot identification, and multivariate techniques, distinguishing it from conventional single-season or non-integrated studies.