Lyudmila Angelova

Dr. Lyudmila Angelova

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Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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23 January 2024 in Materials
Verified
Journal Article
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DIDarya Ilieva
Darya Ilieva
LALyudmila Angelova
Lyudmila Angelova
TRTemenuzhka Hristova Radoykova
Temenuzhka Hristova Radoykova
Andriana SurlevaAndriana Surleva
Andriana Surleva
GCGeorgi Evgeniev Chernev
Georgi Evgeniev Chernev
Andrei Victor SanduAndrei Victor Sandu
Andrei Victor Sandu
Valorization of high-volume mine tailings could be achieved by the development of new geopolymers with a low CO2 footprint. Materials rich in aluminum and silicon with appropriate solubility in an alkaline medium can be used to obtain a geopolymer. This paper presents a study of copper mine tailings from Bulgaria as precursors for geopolymers. Particle size distribution, chemical and mineralogical composition, as well as alkaline reactivity, acidity and electroconductivity of aqueous slurry are studied. The heavy metal content and their mobility are studied by leaching tests. Sequential extraction was applied to determine the geochemical phase distribution of heavy metals. The studied samples were characterized by high alkalinity, which could favor the geopolymerization process. The water-soluble sulphates were less than 4%. The Si/Al ratio in mine tailing was found to be 3. The alkaline reactivity depended more so on the time of extraction than on the concentration of NaOH solution. The main part of the heavy metals was found in the residual fraction; hence, in high alkaline medium during the geopolymerization process, they will stay fixed. Thus, the obtained geopolymers could be expected to exert low environmental impact. The presented results revealed that studied copper mine tailing is a suitable precursor for geopolymerization.

13 April 2024 in Applied Sciences
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Journal Article
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Andriana SurlevaAndriana Surleva
Andriana Surleva
LALyudmila Angelova
Lyudmila Angelova
DIDarya Mladenova Ilieva
Darya Mladenova Ilieva
Vladislava Hristova IvanovaVladislava Hristova Ivanova
Vladislava Hristova Ivanova
OSOlya Surleva
Olya Surleva
KCKatrin Adrianova Chavdarova
Katrin Adrianova Chavdarova
This paper discusses approaches for verification of methods of measurements of chemical and physical characteristics of specific samples. The limitations of well-known approaches are discussed. Some examples of alternatives are given to demonstrate specific issues encountered in the research laboratory analyzing new materials or characterizing new properties of materials. Application of sequential procedure using lower quantities of samples and reagents is presented. A standard addition to solid samples is discussed. The approach of control charts for estimation of method uncertainty for determination of plant available phosphorus is presented. The method comparison is applied as an approach to verification of alkaline reactivity by inductively coupled plasma–optical emission spectroscopy (ICP-OES) measurement, as well as density of newly synthesized chalcogenide glass materials. The presented examples demonstrated that alternative approaches are needed in order to verify the methods applied due to the great variety of activities and corresponding tasks in a research laboratory.

3 January 2026 in Journal of Chemical Technology and Metallurgy
Verified
Journal Article
Open access
LALyudmila Angelova
Lyudmila Angelova
DIDarya Mladenova Ilieva
Darya Mladenova Ilieva
Andriana SurlevaAndriana Surleva
Andriana Surleva
Various chemical, biological, and biochemical assays are currently employed to evaluate the state of mine tailing dumps. However, some chemical approaches could overestimate the environmental footprint. This study presents an assessment of the current state of the inactive mine tailing dump area, employing a sequential chemical extraction procedure (SEP) to study heavy metal fractionation and contamination indices, thereby assessing the mobility and potential bioavailability. The studied samples contained elevated concentrations of As, Cu, Pb, and Zn, of which Pb was the most abundant element. The results showed that although high total heavy metal content in soil and mine tailing was observed, the mobility factors rarely exceeded 10 %. Moreover, the values of contamination factors, individual and global, were below 1 and 6, respectively. Thus, the mine tailings and surrounding soils could be classified as sources with low contamination potential. The applied approach could benefit the ongoing efforts toward the sustainable management and conservation of post-mining landscapes.

3 January 2026 in Journal of Chemical Technology and Metallurgy
Verified
Journal Article
Open access
LALyudmila Angelova
Lyudmila Angelova
DIDarya Mladenova Ilieva
Darya Mladenova Ilieva
The evaluation of the environmental impact arising from mine tailing toxicity can be accomplished by chemical and biological assays. Several research groups and environmental agencies established working protocols for heavy metal determination and risk assessment. Nevertheless, there is no standardized methodology that integrates chemical and biological approaches for the toxicity assessment of soils and waters contaminated with heavy metals and metalloids. This study presents a comprehensive algorithm designed to assess the environmental toxicity of mine tailings and surrounding soils by applying a germination assay. Therefore, wheat germination bioassays andevaluation of bioconcentration of As, Pb, Cu, Zn, Cd, Ag, Fe, Mn, Ni, and Cr in contaminated environmental samplesare carried out. The germination index showed results greater than 80 % classified as “excellent” in soil samplesP1 and P2, and less than 40 % in soil sample P3 due to high Pb toxicity. The capability of plant species to remediatesoils was evaluated by the Bioconcentration factor (BCF) and the Translocation factor (TF). The average results forBCF, based on Pb, As, Zn, and Cu, were 0.25, and a low TF was obtained, with values ranging between 0.05 and 0.2.