| Literature DB >> 32326493 |
Aleksandra Ukalska-Jaruga1, Karolina Lewińska2, Elton Mammadov3, Anna Karczewska4, Bożena Smreczak1, Agnieszka Medyńska-Juraszek4.
Abstract
The aim of this study was to identify and examine the levels of organochlorine pesticides (OCPs), polycyclic aromatic hydrocarbons (PAHs), and polychlorinated biphenyls (PCBs) in soil collected from the surroundings of historical pesticide storage facilities on former agricultural aerodromes, warehouses, and pesticide distribution sites located in the most important agricultural regions in Azerbaijan. The conducted research included determination of three groups of POPs (occurring together), in the natural soil environment influenced for many years by abiotic and biotic factors that could have caused their transformations or decomposition. In this study, soil samples were collected in 21 georeferenced points located in the administrative area of Bilasuvar, Saatly, Sabirabad, Salyan and Jalilabad districts of Azerbaijan. Soil chemical analysis involved determination of organochlorine compounds (OCP): hexachlorocyclohexanes (HCHs) (three isomers α-HCH, β-HCH and γ-HCH) and dichlorodiphenyltrichloroethanes (DDTs) (six congeners 2,4'DDT; 4,4'DDT; 2,4'DDE; 4,4'DDE; 2,4'DDE; and 4,4'DDE); polycyclic aromatic hydrocarbons (PAHs): 16 compounds from the United States Environmental Protection Agency US EPA list and, PCBs (seven congeners identified with the following IUPAC numbers: 28, 52, 101, 118, 138, 153, and 180). Our research showed that OCPs reached the highest concentration in the studied areas. The total concentrations of OCPs ranged from 0.01 to 21,888 mg∙kg-1 with significantly higher concentrations of Σ6DDTs (0.01 μg kg-1 to 21880 mg kg-1) compared to ΣHCH (0.14 ng kg-1 to 166.72 µg kg-1). The total concentrations of PCBs in the studied soils was varied from 0.02 to 147.30 μg·kg-1 but only PCB138 and PCB180 were detected in all analyzed samples. The concentrations of Σ16 PAHs were also strongly diversified throughout the sampling areas and ranged from 0.15 to 16,026 mg kg-1. The obtained results confirmed that the agricultural soils of Azerbaijan contained much lower (up to by three orders of magnitude) concentrations of PCBs and PAHs than DDT. It is supported by the fact that PCBs and PAHs were not directly used by agriculture sector and their content results from secondary sources, such as combustion and various industrial processes. Moreover, the high concentrations of PAHs in studied soils were associated with their location in direct neighborhood of the airport, as well as with accumulation of contaminants from dispersed sources and long range transport. The high concentrations of pesticides confirm that deposition of parent OCPs have occurred from obsolete pesticide landfills.Entities:
Keywords: DDTs; HCHs; PAHs; PCBs; pesticides; polychlorinated biphenyls; polycyclic aromatic hydrocarbons; soil contamination; toxic substances
Year: 2020 PMID: 32326493 PMCID: PMC7221879 DOI: 10.3390/molecules25081815
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Statistical evaluation of organochlorine pesticides (OCPs) concentrations in soil (n = 21).
| Compound. | Min. | Max. | Average | Me | Lower Q | Upper Q | SD | CoV % |
|---|---|---|---|---|---|---|---|---|
| µg kg−1 | ||||||||
| αHCH | < d.l. | 141.1 | 14.0 | 3.9 | 0.1 | 10.9 | 31.2 | 222 |
| βHCH | < d.l. | 21.4 | 3.3 | 1.2 | 0.0 | 2.6 | 6.0 | 182 |
| γHCH | 0.1 × 10−4 | 12.8 | 1.9 | 0.5 | 0.2 | 1.7 | 3.2 | 167 |
| ∑3HCH | < d.l. | 166.7 | 19.3 | 4.6 | 2.2 | 25.3 | 36.8 | 191 |
| mg kg−1 | ||||||||
| 2,4′DDE | 0.3∙10−3 | 131.7 | 18.9 | 2.2 | 0.4 | 34.7 | 32.9 | 175 |
| 4,4′DDE | < d.l. | 398.1 | 63.8 | 1.7 | 0.3 | 32.8 | 122.3 | 192 |
| 2,4′DDD | < d.l. | 157.9 | 23.2 | 0.6 | 0.0 | 4.5 | 44.3 | 191 |
| 4,4′DDD | < d.l. | 1207.9 | 73.9 | 1.2 | 0.6 | 3.1 | 264.6 | 358 |
| 2,4′DDT | 0.2 × 10−3 | 3933.9 | 392.4 | 8.7 | 3.3 | 286.6 | 915.8 | 233 |
| 4,4′DDT | 4.7 × 10−3 | 16311.3 | 1478.6 | 25.4 | 11.9 | 956.3 | 3703.3 | 250 |
| ∑6DDT | 5.6 × 10−3 | 21885.9 | 2050.7 | 38.9 | 15.5 | 1395.4 | 4998.6 | 244 |
| ∑OCP | 0.01 | 21888.2 | 2067.0 | 43.1 | 19.49 | 1406.0 | 5001.4 | 241 |
n.d.—not defined, Min.—the lowest content of the test compound, above the detection limit, Max—the highest content of the analyzed compounds, Me—median, Lower Q—lower quartile, Upper Q—upper quartile, SD—standard deviation, CoV—coefficient of variation, n—number of samples, and < d.l.—below detection limit.
Statistical evaluation of polychlorinated biphenyls (PCBs) concentrations in soils (n = 21).
| Min. | Max. | Average | Me | Lower Q | Upper Q | SD | CoV % | |
|---|---|---|---|---|---|---|---|---|
| µg kg−1 | ||||||||
| PCB 28 | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. |
| PCB 52 | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. |
| PCB 101 | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. |
| PCB 118 | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. |
| PCB 138 | 0.01 | 0.41 | 0.05 | 0.05 |
| 0.03 | 0.10 | 206 |
| PCB 153 | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. |
| PCB 180 | 0.01 | 147.30 | 8.91 | 0.02 | 0.01 | 0.38 | 32.04 | 359 |
| ∑PCB | 0.02 | 147.30 | 3.57 | 0.06 | 0.01 | 0.60 | 31.99 | 357 |
n.d.—not defined, Min.—the lowest content of the test compound, above the detection limit, Max—the highest content of the analyzed compounds, Me—median, Lower Q—lower quartile, Upper Q—upper quartile, SD—standard deviation, CoV—coefficient of variation, and n—number of samples.
Statistical evaluation of polycyclic aromatic hydrocarbons (PAHs) concentrations in soils (n = 21).
| Min. | Max. | Average | Me | Lower Q | Upper Q | SD | CoV % | |
|---|---|---|---|---|---|---|---|---|
| mg kg−1 | ||||||||
| Nap | 0.01 | 16.9 | 0.83 | 0.02 | 1.0∙10−2 | 0.025 | 3.7 | 442 |
| Acy | < d.l. | 0.3 | 0.03 | 0.01 | 0.2∙10−2 | 0.007 | 0.1 | 265 |
| Ace | < d.l. | 20.7 | 1.01 | 0.01 | 0.2∙10−2 | 0.013 | 4.5 | 446 |
| Fl | < d.l. | 7.8 | 0.39 | 0.01 | 0.5∙10−2 | 0.021 | 1.7 | 434 |
| Phe | < d.l. | 4.5 | 0.28 | 0.06 | 4.5∙10−2 | 0.118 | 1.0 | 340 |
| Ant | 0.01 | 2.7 | 0.19 | 0.02 | 1.2∙10−2 | 0.026 | 0.6 | 329 |
| Fla | < d.l. | 4498.3 | 214.3 | 0.03 | 1.9∙10−2 | 0.091 | 981.5 | 458 |
| Pyr | 0.01 | 2964.2 | 141.3 | 0.04 | 2.9∙10−2 | 0.132 | 646.7 | 458 |
| BaA | < d.l. | 337.9 | 16.2 | 0.01 | 0.2∙10−2 | 0.048 | 73.7 | 456 |
| Chr | < d.l. | 8226.1 | 391.8 | 0.04 | 3.0∙10−2 | 0.105 | 1794.9 | 458 |
| BbF | < d.l. | 2.1 | 0.26 | 0.04 | 1.0∙10−2 | 0.147 | 0.5 | 205 |
| BkF | < d.l. | 1.6 | 0.15 | 0.01 | 0.3∙10−2 | 0.071 | 0.4 | 233 |
| BaP | < d.l. | 2.4 | 0.19 | 0.03 | 0.2∙10−2 | 0.058 | 0.5 | 292 |
| IcdP | < d.l. | 1.0 | 0.11 | 0.02 | 0.6∙10−2 | 0.054 | 0.2 | 225 |
| DahA | < d.l. | 0.2 | 0.03 | 0.01 | 0.3∙10−2 | 0.024 | 0.1 | 169 |
| BghiP | < d.l. | 0.9 | 0.09 | 0.01 | 0.2∙10−2 | 0.058 | 0.2 | 242 |
| 2 + 3-ring PAHs | 0.04 | 50.9 | 2.7 | 0.12 | 10.2∙10−2 | 0.2 | 11.1 | 404 |
| 4-ring PAHs | 0.04 | 16,025.3 | 763.6 | 0.13 | 9.3∙10−2 | 0.6 | 3496.9 | 457 |
| 5 + 6-ring PAHs | 0.01 | 6.9 | 0.8 | 0.12 | 4.2∙10−2 | 0.5 | 1.8 | 213 |
| ∑16PAH | 0.15 | 16,086.7 | 4.6 | 0.67 | 2.4∙10−2 | 1.5 | 3496.3 | 455 |
d.l.—detection limit, Min.—the lowest content of the test compound, above the detection limit, Max—the highest content of the analyzed compounds, Me—median, Lower Q—lower quartile, Upper Q—upper quartile, SD—standard deviation, CoV—coefficient of variation, n—number of samples, and < d.l.—below detection limit.
Figure 1The PAHs diagnostic ratios for identification the source of soil pollution.
Factor analysis, factor loading matrix correlation used to generate the principal component analysis (PCA components (after varimax rotation).
| PCA 1 | PCA 2 | PCA 3 | |
|---|---|---|---|
| 2 + 3P WWA | −0.11 | 0.92 * | 0.16 |
| 4P WWA | 0.23 | −0.14 | 0.73 * |
| 5 + 6P WWA | −0.15 | 0.93 * | 0.13 |
| ∑7PCB | 0.96 * | 0.11 | −0.20 |
| ∑3HCH | 0.15 | −0.17 | 0.75 * |
| ∑6DDT | 0.96 * | 0.19 | −0.06 |
| % of variance | 33 | 30 | 20 |
| Cumulative % | 33 | 63 | 83 |
* Significant correlation (p > 0.05).
Figure 2Scheme of the sampling area containing designated warehouses (2 sampling sites), aerodromes (4 sampling sites), and pesticide distribution sites (8 sampling sites).
Description of the sampling points localization (n = 21).
| Name of Sampling Area | Administrative District | Area, Hectare | Type | Land Use | No. of Samples |
|---|---|---|---|---|---|
| Jurali | Bilasuvar | 0.21 | Distribution site | Pasture | 1 |
| Amankend | Bilasuvar | 0.15 | Distribution site | Pasture | 1 |
| Aribatan | Salyan | 11.39 | Aerodrome | Pasture | 2 |
| Khirmandali | Bilasuvar | 1.19 | Aerodrome | Arable | 2 |
| Agalykend | Bilasuvar | 0.02 | Distribution site | Settlement | 1 |
| Yukhary Agaly | Bilasuvar | 0.59 | Distribution site | Arable | 2 |
| Garatapa | Sabirabad | 5.85 | Warehouse | Pasture | 2 |
| Abazalli | Jalilabad | 0.39 | Aerodrome | Pasture | 2 |
| Gunashli | Bilasuvar | 0.17 | Distribution site | Settlement | 2 |
| Takla | Jalilabad | 0.09 | Warehouse | Settlement | 2 |
| Dadagorgud | Saatly | 0.38 | Distribution site | Pasture | 1 |
| Molday | Saatly | 0.25 | Aerodrome | Pasture | 1 |
| Zahmatabad | Bilasuvar | 0.15 | Distribution site | Pasture | 1 |
| Chaily | Bilasuvar | 0.23 | Distribution site | Pasture | 1 |