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1.
J Environ Manage ; 351: 119838, 2024 Feb.
Article in English | MEDLINE | ID: mdl-38145590

ABSTRACT

Heavy metal contamination of soil commonly accompanies problems around gold mine tailings ponds. Fully investigating the distribution characteristics of heavy metals and the survival strategies of dominant plants in contaminated soils is crucial for effective pollution management and remediation. This study aims to investigate the contamination characteristics, sources of heavy metals (As, Cd, Pb, Hg, Cu, Zn, Cr, and Ni) in soils around gold mine tailings ponds areas (JHH and WZ) and to clarify the form distribution of heavy metals (As, Cd, Pb, Hg) in contaminated plots as well as their accumulation and translocation in native dominant plants. The results of the study showed that the concentrations of As, Pb, Cd, Cu, and Zn in soil exceeded the national limits at parts of the sampling sites in both study areas. The Nemerow pollution index showed that both study areas reached extreme high pollution levels. Spatial analysis showed that the main areas of contamination were concentrated around metallurgical plants and tailings ponds, with Cd exhibiting the most extensive area of contamination. In the JHH, As (74%), Cd (66%), Pb (77%), Zn (47%) were mainly from tailings releases, and Cu (52%) and Hg (51%) were mainly from gold ore smelting. In the WZ, As (42%), Cd (41%), Pb (73%), Cu (47%), and Zn (41%) were mainly from tailings releases. As, Cd, Pb, and Hg were mostly present in the residue state, and the proportion of water-soluble, ion-exchangeable, and carbonate-bound forms of Cd (19.93%) was significantly higher than that of other heavy metals. Artemisia L. and Amaranthus L. are the primary dominating plants, which exhibited superior accumulation of Cd compared to As, Pb, and Hg, and Artemisia L. demonstrated a robust translocation capacity for As, Pb, and Hg. Compared to the concentrations of other forms of soil heavy metals, the heavy metal content in Artemisia L correlates significantly better with the total soil heavy metal concentration. These results offer additional systematic data support and a deeper theoretical foundation to bolster pollution-control and ecological remediation efforts in mining areas.


Subject(s)
Artemisia , Mercury , Metals, Heavy , Soil Pollutants , Gold/analysis , Soil/chemistry , Cadmium , Lead , Ponds , Environmental Monitoring/methods , Soil Pollutants/analysis , Metals, Heavy/analysis , Mercury/analysis , Plants , China , Risk Assessment
2.
Nutr Metab Cardiovasc Dis ; 30(12): 2159-2170, 2020 11 27.
Article in English | MEDLINE | ID: mdl-33239163

ABSTRACT

BACKGROUND AND AIM: Dyslipidemia is a common metabolic disease worldwide and also an important predisposing factor for cardiovascular diseases (CVDs). Coffee is loved by people all over the world; however, the association between coffee consumption and blood lipids has yielded inconsistent results. So we carried this meta-analysis to explore the effects of coffee consumption on blood lipids. METHODS AND RESULTS: Medline, PubMed, Web of science, Embase, and Cochrane Library databases were systematically searched until April 2020. Combined weighted mean differences (WMD) with their 95% confidence interval (CI) were calculated using random-effects models, and between-study heterogeneity was assessed by Cochran's Q test and I2 statistics. Subgroup analysis and meta-regression analysis were also conducted to explore the potential heterogeneity. A total of 12 RCT studies involving the association between coffee consumption and blood lipid levels were included in the meta-analysis. The pooled results showed that coffee consumption significantly increased total cholesterol (TC) (WMD: 0.21 mmol/L, 95% CI: 0.04; 0.39, P = 0.017), triglyceride (TG) (WMD: 0.12 mmol/L, 95% CI: 0.03; 0.20, P = 0.006) and low-density lipoprotein (LDL-C) (WMD: 0.14 mmol/L, 95% CI: 0.05; 0.24, P = 0.003) while had no significant effect on high-density lipoprotein (HDL-C) (WMD: -0.01 mmol/L, 95% CI: -0.06; 0.04, P = 0.707). Dose-response analysis results revealed significant positive nonlinear associations between coffee consumption and the increase in TC, LDL-C, and TG levels. CONCLUSIONS: Evidence from this meta-analysis suggested that coffee consumption may be associated with an elevated risk for dyslipidemia and CVDs. So a reasonable habit of coffee consumption (<3 cups/d) is essential for the prevention of dyslipidemia.


Subject(s)
Cardiovascular Diseases/epidemiology , Coffee/adverse effects , Dyslipidemias/blood , Lipids/blood , Adolescent , Adult , Aged , Biomarkers/blood , Cardiovascular Diseases/diagnosis , Dyslipidemias/diagnosis , Dyslipidemias/epidemiology , Female , Heart Disease Risk Factors , Humans , Male , Middle Aged , Prognosis , Randomized Controlled Trials as Topic , Recommended Dietary Allowances , Risk Assessment , Young Adult
3.
Ying Yong Sheng Tai Xue Bao ; 27(2): 462-8, 2016 Feb.
Article in Chinese | MEDLINE | ID: mdl-27396118

ABSTRACT

Cultural factors influencing high yield and good quality Linum usitatissimum (Tianya 9) were investigated. The correlations between these factors and its yield were analyzed. Path coefficient and principal component analysis were conducted, adopting uniform design of the 8 cultivating factors, i.e. planting density (X1), base nitrogen quantity (X2), base phosphorus quantity (X3), base potassium quantity (X4), foliar fertilizer (potassium dihydrogen phosphate, X5), foliar fertilizer (boron fertilizer, X6), growth regulator (multi-effect azole, X7) and growth duration irrigation amount (X8), aiming at exploring better cultivating plan of L. usitatissimum for Gansu Province. The results indicated that the factors influencing the yield of L. usitatissimum were X1, X7, X2, X3, X5 and X4 in a descending order. Simulation and optimization of the highest yield was further implemented. Frequency analysis showed that the cultivating factors resulting in yield higher than 173.58 kg . hm-2 were 4. 68 - 4. 92 kg . hm-2 (X1) , 11. 59 - 14. 75 kg . hm-2 (X2), 17.26- 21.95 kg . hm-2 (X3), 7.00-12.50 kg . hm-2 (X4) , 1.41-1.81 kg . hm-2 (X5) and 751.74- 954.04 g . hm-2 (X7).


Subject(s)
Agriculture/methods , Fertilizers , Flax/growth & development , Phosphorus/analysis , Potassium/analysis
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