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Nevin Manimala Statistics

Concentration Characteristics of Heavy Metals in Farmland-Sphagnum System and Ecological Risk Assessment

Huan Jing Ke Xue. 2022 Apr 8;43(4):2115-2123. doi: 10.13227/j.hjkx.202108038.

ABSTRACT

In order to study the current status of heavy metal pollution, the accumulation capacity of farmland Sphagnum for heavy metals and the source of heavy metal pollution in the soil near Gaozhai Reservoir in Maojian Tea Town, Duyun City, Guizhou Province were assessed. Sphagnum and topsoil near this area were selected as the research object to measure the content of heavy metals. Spatial analysis and multivariate statistical analysis methods were used to conduct pollution evaluation and source analysis of heavy metals. The results showed that the heavy metal content in topsoil and farmland Sphagnum were V>Zn>Cr>Pb>Cu>Ni>As>Cd>Hg and Zn>Cr>Ni>Cu>Pb>V>As>Cd>Hg, respectively. The dominant species of Sphagnum in the study area were Sphagnum palustre L. ssp. palustre and Sphagnum ovatum Hamp.C.Muell, both of which had a strong ability to accumulate soil Cd, Ni, Cu, and Zn; however, the S. ovatum enrichment capacity of soil heavy metals was generally higher than that of the latter. Both the single pollution index (Cf) and the geo-accumulation index (Igeo) indicated that the Cd and Hg content in soil were at the highest levels, and the average comprehensive pollution index RI was 87.75, which indicates a slight ecological risk. The sources of heavy metals in soil and Sphagnum included transportation, domestic sewage, agricultural activities, and natural soil-forming processes.

PMID:35393835 | DOI:10.13227/j.hjkx.202108038

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Nevin Manimala Statistics

Sources Identification, Ecological Risk Assessment, and Controlling Factors of Potentially Toxic Elements in Typical Lead-Zinc Mine Area, Guizhou Province, Southwest China

Huan Jing Ke Xue. 2022 Apr 8;43(4):2081-2093. doi: 10.13227/j.hjkx.202109024.

ABSTRACT

Carbonatite and basalt are widely distributed in southwest China, and potentially toxic elements (PTEs) are associated with the naturally high background properties. It is important to carry out ecological risk assessments and identify potential sources of PTEs. A total of 3180 soil samples (0-20 cm) were collected in Hezhang county, a typical high background area of PTEs with the parent lithology of carbonatite and basalt. Samples were obtained from 18 large lead-zinc mines, which belong to a multi-ecological risk superimposed area with high ecological risk. The concentration of PTEs (Cd, Cr, As, Hg, Pb, Cu, Zn, and Ni) in the topsoil were analyzed, and statistical analysis (SA), geographic information system (GIS), enrichment factor (EF), potential ecological risk index (RI), and positive matrix factorization (PMF) methods were used to assess the ecological risk and quantify sources of PTEs. The mean values of PTEs concentrations in topsoil were 24.55, 2.25, 176.40, 89.60, 0.19, 64.20, 102.00, and 257.00 mg·kg-1 for As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn, respectively, which were remarkably higher than the average background value (ABV) of soils in Guizhou Province. The average concentrations of Cd, Cr, Cu, Ni, Pb, and Zn exceeded the screening values specified for the soil contamination risk in agricultural land (GB 15618-2018) by 7.50, 1.18, 1.79, 1.07, 1.40, and 1.29 times, respectively. The EF showed that Cd had a large area of moderate pollution; Pb, Zn, and Cu had a small area of slight pollution; the EFs values of Hg, Cr, Ni, and As were near the baseline value (EF≈1), and contaminations were slight or nonexistent. The PMF indicated that there were five sources, namely pyrite mines, lead-zinc mines, natural sources of basalt and carbonatite, and agricultural activities; the risk contribution ratios were 5.25%, 27.37%, 28.94%, 17.91%, and 20.53%, respectively. The most toxic coefficients of Hg and Cd were mainly natural sources, with contribution ratios of 86.3% and 72.7%, respectively. The soil samples in the mining areas expectedly contained high ratios of Zn/Cd and Pb/Cd, which confirmed that PTEs in the soil were mainly derived from the smelting wastes. The contents of metal oxides such as Fe, Mn, and Si were the influencing factors of PTEs enrichment. On the contrary, soil samples exhibited much lower Zn/Cd and Pb/Cd ratios in non-mining areas, indicating that the main origin of these metals in soil was the smelting flue gas dusts and geological background.

PMID:35393832 | DOI:10.13227/j.hjkx.202109024

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Nevin Manimala Statistics

Temporal and Spatial Variation Characteristics and Driving Factors of Nitrogen of Shallow Groundwater in Hetao Irrigation District

Huan Jing Ke Xue. 2022 Apr 8;43(4):1898-1907. doi: 10.13227/j.hjkx.202107187.

ABSTRACT

As an important food production area in the north of China, the Hetao plain is extremely vulnerable to nitrate pollution caused by agricultural production activities and additional factors. Thus, it is of great significance for the environmental protection and rational use of groundwater to detect the current situation of groundwater nitrate pollution, temporal and spatial evolution characteristics, and main influencing factors in the Hetao irrigation district. We selected the Wualte irrigation area as the study area, and the characteristics of temporal and spatial changes in groundwater nitrate concentration and the main influencing factors in this area were explored. We used statistical analysis to analyze the nitrogen content of groundwater in the study area, and the Piper three-line diagram was used to explore the characteristics of chemical composition and evolution; furthermore, we used ion ratio and correlation analysis methods to explore the source of NO3-N in groundwater. The results showed that NO3-N was the main existing form of nitrogen in the Wulate irrigation area, and its concentration varied from 0.01 to 60.00 mg·L-1, with an exceeding standard rate of 10.50%. In terms of time, the characteristic of time change was that the NO3-N concentration in August of groundwater was the highest (average 6.61 mg·L-1), followed by that in October (6.22 mg·L-1) and November (6.25 mg·L-1), and that in March (average value of 1.77 mg·L-1) was the lowest. With the influence of rainfall and irrigation, the NO3-N in the soil was infiltrated into the groundwater, showing the characteristic that wet season and concentrated irrigation periods were higher than those in other periods. Spatially, it appeared as southwest (8.87 mg·L-1)>northwest (4.25 mg·L-1)>east (0.89 mg·L-1), mainly due to the original geological conditions, land use, and domestic waste stacking. In addition, the concentration of NO3-N of groundwater in the study area was closely related to the depth of groundwater and redox conditions but was relatively less affected by the concentration of water chemical ions. Therefore, identifying the temporal and spatial distribution characteristics and main sources of groundwater nitrogen pollution can provide a scientific basis for scientific fertilization, groundwater nitrate pollution control, and water safety.

PMID:35393813 | DOI:10.13227/j.hjkx.202107187

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Nevin Manimala Statistics

Analysis on the Source Tracing and Pollution Characteristics of Rainfall Runoff in the Old Urban Area of Nanning City

Huan Jing Ke Xue. 2022 Apr 8;43(4):2018-2029. doi: 10.13227/j.hjkx.202107040.

ABSTRACT

Rainfall runoff is one of the important sources of urban river pollution. In order to understand the pollution characteristics of rainfall runoff, the synchronous sampling and monitoring of rainfall runoff in the old urban area of Nanning were carried out; the pollution condition, initial scouring effect, and pollution contribution ratio of different underlying surfaces under different rainfall conditions were analyzed; and the calculation method and influence factor analysis of initial scouring of runoff pollution were discussed. According to the underlying surface of the vegetable market in the old urban area, the selection standard and necessity of the underlying surface of rainfall runoff were discussed. The results showed that the average concentration (EMC) of COD and TSS in roads and vegetable markets were greater than those in green spaces and roofs in the runoff pollution of the old urban area of Nanning, and the EMC values of nutrient pollutants in field rainfall runoff were ranked in decreasing order as vegetable markets, green spaces, roofs, and roads. Under the condition of heavy rain, each underlying surface had an obvious initial scouring effect, the average value of initial scouring coefficient (b) was 0.67, and there were many pollutants transported by roads and green spaces at the initial stage. Under light rain and moderate rain conditions, there was no obvious initial scouring effect, and the average b values were 0.83 and 0.94, respectively. The b value calculated by the whole process was preferred for evaluating the scouring effect. Based on multivariate statistical analysis, the EMC value of TSS in road runoff was significantly positively correlated with the total rainfall duration (RD), and the EMC value of TN in green land runoff was significantly negatively correlated with the average rainfall intensity (ARI). Whether the vegetable market was considered as the underlying surface had a great impact on the calculation results of nutrient pollution load but had little impact on the calculation results of COD and TSS load. The difference percentage of nutrient pollution load under heavy rain reached 80%. Under this condition, the difference percentage of pollutant EMC between the road and vegetable market reached 1012%.

PMID:35393825 | DOI:10.13227/j.hjkx.202107040

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Nevin Manimala Statistics

Hydrochemical Composition Characteristics and Control Factors of Xiaohuangni River Basin in the Upper Pearl River

Huan Jing Ke Xue. 2022 Apr 8;43(4):1885-1897. doi: 10.13227/j.hjkx.202108254.

ABSTRACT

In order to serve the water resources management of the Xiaohuangni River basin, this study explored the hydrochemical composition characteristics and ion sources of surface water in the basin. Samples of main stream and tributary river water and mine water were systematically collected. By means of a Piper diagram, Gibbs diagram, ion ratio coefficient, and mathematical statistical analysis, we analyzed the hydrochemical composition, spatial distribution characteristics, and main control factors of the Xiaohuangni River and evaluated the solute contribution rates of different sources. The results showed that the pH of the Xiaohuangni River basin ranged between 7.17 to 9.14, with an average of 8.00, which is generally considered weakly alkaline. Additionally, the total dissolved solids ranged between 154 mg·L-1 to 460 mg·L-1, with an average of 257.39 mg·L-1, which was equivalent to that of the main stream of the Xijiang River. The dominant cation was Ca2+, accounting for 69% of the total cations; the dominant anions were HCO3 and SO42-, accounting for 65% and 30% of the total anions, respectively. The main chemical type of the main stream was HCO3-Ca. Affected by mining activities, the tributaries transitioned from HCO3-Ca to HCO3·SO4-Ca and HCO3·SO4-Ca·Na type. River water solute was mainly controlled by the weathering of carbonate rock and silicate rock, with the participation of sulfuric and carbonic acid. The contribution rate of carbonate weathering to river water solute was 63%, and that of silicate weathering was 16.33%. Meanwhile, human activities contributed markedly to the dissolved solutes of the Xiaohuangni River basin, in which the contribution rate of mining activities was 13.4%, and the contribution rate of agricultural activities and domestic sewage was 4%.

PMID:35393812 | DOI:10.13227/j.hjkx.202108254

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Nevin Manimala Statistics

Effect of systemic corticosteroid therapy for acute heart failure patients with elevated C-reactive protein

ESC Heart Fail. 2022 Apr 8. doi: 10.1002/ehf2.13926. Online ahead of print.

ABSTRACT

AIMS: The current study explores whether degree of inflammation, reflected by C-reactive protein (CRP) level, modifies the effect of intravenous (IV) corticosteroid administered in the emergency department (ED) on clinical outcomes in patients with acute heart failure (AHF).

METHODS AND RESULTS: We selected patients diagnosed with AHF in the ED, with confirmed N-terminal pro-B-type natriuretic peptide > 300 pg/mL and CRP > 5 mg/L in the ED from the Epidemiology of Acute Heart Failure in the Emergency Departments (EAHFE) registry. In these 1109 patients, 121 were treated by corticosteroid. The corticosteroid therapy hazard ratio (HR) for 30 day all-cause mortality was 1.26 [95% confidence interval (CI) 0.75-2.09, P = 0.38]. Although not statistically significant, HRs tended to decrease with increasing CRP level, with point estimates favouring corticosteroid at CRP levels above 20. In patients with CRP > 40 mg/L, with adjusted HRs of 0.56 (95% CI 0.20-1.55, P = 0.27) for 30 day all-cause mortality, 0.92 (95% CI 0.52-1.62, P = 0.78) for 30 day post-discharge ED revisit, hospitalization, or death, and adjusted odds ratio of 0.61 (95% CI 0.17-2.14, P = 0.44) for in-hospital all-cause mortality.

CONCLUSIONS: The present analysis suggests that corticosteroids might have the potential to improve outcomes in AHF patients with inflammatory activation. Larger, prospective studies of anti-inflammatory therapy should be considered to assess potential benefit in patients with the highest degree of inflammation.

PMID:35393762 | DOI:10.1002/ehf2.13926

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Nevin Manimala Statistics

DeepBBBP: High accuracy Blood-Brain-Barrier Permeability Prediction with a Mixed Deep Learning Model

Mol Inform. 2022 Apr 7. doi: 10.1002/minf.202100315. Online ahead of print.

ABSTRACT

Blood-brain-barrier permeability (BBBP) is an important property that is used to establish the drug-likeness of a molecule, as it establishes whether the molecule can cross the BBB when desired. It also eliminates those molecules which are not supposed to cross the barrier, as doing so would lead to toxicity. BBBP can be measured in vivo, in vitro or in silico. With the advent and subsequent rise of in silico methods for virtual drug screening, quite a bit of work has been done to predict this feature using statistical machine learning (ML) and deep learning (DL) based methods. In this work a mixed DL-based model, consisting of a Multi-layer Perceptron (MLP) and Convolutional Neural Network layers, has been paired with Mol2vec. Mol2vec is a convenient and unsupervised machine learning technique which produces high-dimensional vector representations of molecules and its molecular substructures. These succinct vector representations are utilized as inputs to the mixed DL model that is used for BBBP predictions. Several well-known benchmarks incorporating BBBP data have been used for supervised training and prediction by our mixed DL model which demonstrates superior results when compared to existing ML and DL techniques used for predicting BBBP.

PMID:35393777 | DOI:10.1002/minf.202100315

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Nevin Manimala Statistics

Fully Validated UPLC-MS/MS Method for Quantifying Favipiravir in Human Plasma Boosted Lean Six Sigma: An Application for a Bioequivalence Study

Biomed Chromatogr. 2022 Apr 7:e5381. doi: 10.1002/bmc.5381. Online ahead of print.

ABSTRACT

This research developed and validated a highly sensitive and selective UPLC-MS/MS approach using a triple quadrupole mass spectrometer for quantifying favipiravir (FAV). Moreover, we introduced a study evaluating bioequivalence using two drugs, favibrivix and avigan- containing favipiravir. Lean Six Sigma verified the capacity and performance of the process. Protein precipitation extraction was utilized to extract FAV from the collected human matrices. We used an ACQUITY UPLCr BEH HILIC column and valproic acid as an internal standard (IS). Furthermore, we conducted the procedure using an isocratic elution comprising acetonitrile and 0.005% ammonia in water (75:25, v/v), a flow rate of 0.25ml/min, a temperature-controlled at 10 0 C, and an injection volume of 1.0μl. Our UPLC-MS/MS process has a broad range (50-10,000) ng/ml with a determination coefficient (r2 ) of 0.9980. We validated the method in line with the FDA. The findings revealed that the test, favibrivix 200mg/tablet, and the reference, avigan® 200mg/tablet, were statistically bioequivalent regarding healthy Egyptian participants.

PMID:35393721 | DOI:10.1002/bmc.5381

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Nevin Manimala Statistics

Stratifying features for diagnosing hypertrophic stenosis on ultrasound: a diagnostic accuracy study

ANZ J Surg. 2022 Apr 8. doi: 10.1111/ans.17649. Online ahead of print.

ABSTRACT

BACKGROUND: Our aims were to determine if the diagnostic threshold for diagnosing hypertrophic pyloric stenosis (HPS) on ultrasound scan (USS) should be adjusted based on birth weight (BW), current weight (CW), gestational age (GA), chronological age (CA) or corrected gestational age (CGA).

METHODS: All patients who underwent either an USS and pyloromyotomy (Group 1) or an USS for possible HPS (Group 2) at our tertiary centre between July 2013 and June 2019 were identified. Ideal threshold values are identified by measuring Youden’s Index (J = sensitivity + specificity – 1; higher is better). Mean maximum Youden’s Index for stratified results was compared to that for combined results.

RESULTS: Two hundred and eighty-four patients were included (142 patients in both Group 1 and Group 2). Combined maximum Youden’s Index for all patients was 0.92 for pyloric canal thickness (PMT) and 0.87 for pyloric canal length (PCL). Mean maximum Youden’s Index was higher when patients were stratified by GA, CGA, BW or CW, and equivalent for CA. For pyloric canal length (PCL), mean maximum Youden’s Index was lower for all variables when stratified compared to combined. There was no visual trend observed in the diagnostic thresholds between groups.

CONCLUSION: Stratifying USS PMT diagnostic thresholds values based on age and weight is statistically more accurate than a single threshold in diagnosing HPS. However, the lack of visual correlation indicates a larger dataset is required to validate these results.

PMID:35393697 | DOI:10.1111/ans.17649

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Nevin Manimala Statistics

The reliability of biomedical science: A case history of a maturing experimental field

Bioessays. 2022 Apr 7:e2200020. doi: 10.1002/bies.202200020. Online ahead of print.

ABSTRACT

There is much discussion in the media and some of the scientific literature of how many of the conclusions from scientific research should be doubted. These critiques often focus on studies, typically in non-experimental spheres of biomedical and social sciences – that search large datasets for novel correlations, with a risk that inappropriate statistical evaluations might yield dubious conclusions. By contrast, results from experimental biological research can often be interpreted largely without statistical analysis. Typically: novel observation(s) are reported, and an explanatory hypothesis is offered; multiple labs undertake experiments to test the hypothesis; interpretation of the results may refute the hypothesis, support it or provoke its modification; the test/revise sequence is reiterated many times; and the field moves forward. I illustrate this experimental/non-experimental dichotomy by examining the contrasting recent histories of: (a) our remarkable and growing understanding of how several inositol-containing phospholipids contribute to the lives of eukaryote cells; and (b) the difficulty of achieving any agreed mechanistic understanding of why consuming dietary supplements of inositol is clinically beneficial in some metabolic diseases.

PMID:35393713 | DOI:10.1002/bies.202200020