Use of enzymatic tools for biomonitoring inorganic pollution in aquatic sediments: a case study (Bor, Serbia)

Filimon, Marioara Nicoleta; Nica, Dragoş; Ostafe, Vasile; Bordean, Despina-Maria; Borozan, Aurica Breica; Vlad, Daliborca; Popescu, Roxana

doi:10.1186/1752-153x-7-59

Cited by 13 publications

(8 citation statements)

References 30 publications

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“…The Bor Copper Mining and Smelting Complex is located near the city of Bor and is one of the largest centers for copper mining and smelting in Europe. The copper-smelting plant together with the three mines (Open Pit Bor, Open Pit Veliki Krivelj, and Open Pit Cerovo), constitute RTB Bor, which pose serious threats to environmental health for this region and Serbia via airborne pollutants, discharged mine effluents, waste rock impoundments, and seepage from tailings [ 8 , 10 ].…”

Section: Methodsmentioning

confidence: 99%

“…The Borska Reka River (syn. the Bor River) collects the highly polluted waters of the Cerovo River, Kriveljska River, and Ravna River, and passes next to the Open Pit Bor, and is considered to be one of the most polluted water streams in Europe [ 8 ]. The latitude and longitude GPS coordinates of these sites are shown in Figure 1 .…”

Section: Methodsmentioning

confidence: 99%

“…Beyond these ranges, however, their altered homeostasis results in metal deficiency or excess (intoxication), leading to serious adverse health effects [ 2 , 7 ]. By contrast, Pb serves as a non-essential element, with no known biological role in living systems and high toxicity even at trace levels of exposure [ 2 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

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Potential Ecological and Human Health Risks of Heavy Metals in Soils in Selected Copper Mining Areas—A Case Study: The Bor Area

Filimon

Caraba

Popescu

et al. 2021

IJERPH

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Surface soil samples were collected near the Open Pit Bor (S1) and Open Pit Cerovo (S2), a grassland along the Borska Reka River (S3) and an unpolluted garden near Slatina village (reference site). Spontaneous plants (dandelion, nettle, coltsfoot, and creeping buttercup) and vegetables (onion, garlic, carrot, parsley, celery, potatoes, dill, and sorrel) were obtained from the former three sites and the reference site, respectively. The samples were analyzed for Zn, Cu, Fe, Mn, and Pb via FAAS. Pollution indices indicated low-to-moderate soil contamination at sites S1, S2, and S3. Cu was the main contaminant of environmental concern, being above the maximum admitted concentration at site S1. Metal levels in spontaneous plants were below phytotoxic levels. Cu content of leafy vegetables and celery roots and Pb content of most vegetables were not safe for human consumption. Metal concentrations tended to be significantly lower in plants than in soils, with only Cu occurring at significantly elevated levels in celery roots and sorrel leaves. Non-carcinogenic risk assessment showed that consumption of carrot roots and especially celery roots grown on unpolluted soils from the Bor area might pose long-term health risks for females and males, with the main contributors being Cu and Fe.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Potential Ecological and Human Health Risks of Heavy Metals in Soils in Selected Copper Mining Areas—A Case Study: The Bor Area

Filimon

Caraba

Popescu

et al. 2021

IJERPH

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“…The calibration curve was constructed by using a 50 µg/mL phenol (C 6 H 5 OH) solution. FA was defined as mg phenol/g soil during 48 h [48,49].…”

Section: Biochemical Analysesmentioning

confidence: 99%

Impact of the Herbicide Oxyfluorfen on the Activities of Some Enzymes Found in Soil and on the Populations of Soil Microorganisms

et al. 2021

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This study assesses the effects of the herbicide oxyfluorfen on the activities of enzymes and on the populations of soil microorganisms by considering experiments on soil samples maintained in both laboratory and in field conditions. Furthermore, the molecular docking approach was used to evaluate the interactions of oxyfluorfen with enzymes found in soil. There was a dose dependent inhibitory effect of oxyfluorfen against the activities of dehydrogenase, phosphatase, protease and urease. The enzymes activities obtained for the soil samples maintained under field conditions usually reflected a different trend than those obtained under laboratory conditions, emphasizing the influence of the soil physicochemical properties. For soil samples maintained in field conditions and for the normal dose of oxyfluorfen, dehydrogenase activity recovered after 14 days and a minimum of 21 days was necessary for the recovery of phosphatase, urease and protease activity, respectively. The most important parameters of soil influencing the activities of enzymes and the populations of microorganisms were the pH, N-NO3 and N-NH4 contents. A dose dependent behavior of populations of microorganisms found in soil treated with oxyfluorfen has been shown. There was a slight grows of the colonies of microorganisms when oxyfluorfen was applied, but this growth decreased with increasing the oxyfluorfen concentration.

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“…To this end, many studies have relied on exploratory multivariate analysis to extract reliable information for environmental quality assessment [5-8]. In most cases the research question of interest in environmental chemistry and monitoring is expressed in terms of variables and cases (observations).…”

Section: Introductionmentioning

confidence: 99%

A novel exploratory chemometric approach to environmental monitorring by combining block clustering with Partial Least Square (PLS) analysis

Nica

Bordean

Peţ

et al. 2013

Chemistry Central Journal

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BackgroundGiven the serious threats posed to terrestrial ecosystems by industrial contamination, environmental monitoring is a standard procedure used for assessing the current status of an environment or trends in environmental parameters. Measurement of metal concentrations at different trophic levels followed by their statistical analysis using exploratory multivariate methods can provide meaningful information on the status of environmental quality. In this context, the present paper proposes a novel chemometric approach to standard statistical methods by combining the Block clustering with Partial least square (PLS) analysis to investigate the accumulation patterns of metals in anthropized terrestrial ecosystems. The present study focused on copper, zinc, manganese, iron, cobalt, cadmium, nickel, and lead transfer along a soil-plant-snai food chain, and the hepatopancreas of the Roman snail (Helix pomatia) was used as a biological end-point of metal accumulation.ResultsBlock clustering deliniates between the areas exposed to industrial and vehicular contamination. The toxic metals have similar distributions in the nettle leaves and snail hepatopancreas. PLS analysis showed that (1) zinc and copper concentrations at the lower trophic levels are the most important latent factors that contribute to metal accumulation in land snails; (2) cadmium and lead are the main determinants of pollution pattern in areas exposed to industrial contamination; (3) at the sites located near roads lead is the most threatfull metal for terrestrial ecosystems.ConclusionThere were three major benefits by applying block clustering with PLS for processing the obtained data: firstly, it helped in grouping sites depending on the type of contamination. Secondly, it was valuable for identifying the latent factors that contribute the most to metal accumulation in land snails. Finally, it optimized the number and type of data that are best for monitoring the status of metallic contamination in terrestrial ecosystems exposed to different kinds of anthropic polution.

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Use of enzymatic tools for biomonitoring inorganic pollution in aquatic sediments: a case study (Bor, Serbia)

Cited by 13 publications

References 30 publications

Potential Ecological and Human Health Risks of Heavy Metals in Soils in Selected Copper Mining Areas—A Case Study: The Bor Area

Potential Ecological and Human Health Risks of Heavy Metals in Soils in Selected Copper Mining Areas—A Case Study: The Bor Area

Impact of the Herbicide Oxyfluorfen on the Activities of Some Enzymes Found in Soil and on the Populations of Soil Microorganisms

A novel exploratory chemometric approach to environmental monitorring by combining block clustering with Partial Least Square (PLS) analysis

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