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1.
Sci Rep ; 11(1): 2449, 2021 01 28.
Artigo em Inglês | MEDLINE | ID: mdl-33510209

RESUMO

Identifying ecologically fragile areas by assessing ecosystem vulnerability is an essential task in environmental conservation and management. Benin is considered a vulnerable area, and its coastal zone, which is subject to erosion and flooding effects, is particularly vulnerable. This study assessed terrestrial ecosystems in Benin by establishing a hybrid ecological vulnerability index (EVI) for 2016 that combined a composite model based on principal component analysis (PCA) with an additive model based on exposure, sensitivity and adaptation. Using inverse distance weighted (IDW) interpolation, point data were spatially distributed by their geographic significance. The results revealed that the composite system identified more stable and vulnerable areas than the additive system; the two systems identified 48,600 km2 and 36,450 km2 of stable areas, respectively, for a difference of 12,150 km2, and 3,729 km2 and 3,007 km2 of vulnerable areas, for a difference of 722 km2. Using Moran's I and automatic linear modeling, we improved the accuracy of the established systems. In the composite system, increases of 11,669 km2 in the potentially vulnerable area and 1,083 km2 in the highly vulnerable area were noted in addition to a decrease of 4331 km2 in the potential area; while in the additive system, an increase of 3,970 km2 in the highly vulnerable area was observed. Finally, southern Benin was identified as vulnerable in the composite system, and both northern and southern Benin were identified as vulnerable in the additive system. However, regardless of the system, Littoral Province in southern Benin, was consistently identified as vulnerable, while Donga Province was stable.

2.
Curr Microbiol ; 76(11): 1270-1277, 2019 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-31401778

RESUMO

In this study, iTRAQ analysis and bioinformatics analysis were used to reveal the changes in key proteins induced by different concentrations of petroleum hydrocarbons during the biodegradation of petroleum hydrocarbons in Pseudomonas aeruginosa P6. Sixty-three proteins were identified as differentially expressed proteins, and all of them were strongly associated with the cellular processes related to the biodegradation of petroleum hydrocarbons. The results further showed that among the differentially expressed proteins, 3 chemotaxis-related proteins, 10 terminal oxidation of short-chain alkane-related proteins, and 13 transmembrane transport-related proteins were down regulated, while 1 uptake of petroleum hydrocarbon-related protein, 3 terminal oxidation of long-chain alkane-related proteins, 4 dehydrogenation-related proteins, 12 ß-oxidation-related proteins, and 2 metabolisms of acyl-CoA-related proteins were up regulated. These results indicated that during the biodegradation of petroleum hydrocarbons in P. aeruginosa P6, the activity of chemotaxis, the terminal oxidation of short-chain alkanes, and transmembrane transport decreased, while the activity of the uptake of petroleum hydrocarbons, the terminal oxidation of long-chain alkanes, dehydrogenation, ß-oxidation, and the metabolism of acyl-CoA increased under the 20,000 mg/L petroleum hydrocarbon condition compared with the 500 mg/L petroleum hydrocarbon condition. The findings revealed changes in the key proteins and the corresponding cellular process of the biodegradation of petroleum hydrocarbons in P. aeruginosa P6 under high and low concentrations of petroleum hydrocarbons and provided references for future studies.


Assuntos
Proteínas de Bactérias/genética , Hidrocarbonetos/metabolismo , Petróleo/metabolismo , Pseudomonas aeruginosa/metabolismo , Proteínas de Bactérias/química , Proteínas de Bactérias/metabolismo , Biodegradação Ambiental , Hidrocarbonetos/análise , Oxirredução , Petróleo/análise , Proteômica , Pseudomonas aeruginosa/química , Pseudomonas aeruginosa/genética
3.
Curr Microbiol ; 74(10): 1178-1184, 2017 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-28698911

RESUMO

In this work, proteomic analysis was used to identify the up-regulated key proteins of Pseudomonas aeruginosa (P6), a bacteria used in petroleum degradation, responsible for its high efficiency in degrading crude oil. Seventeen proteins were identified as up-regulated proteins by proteomic analysis and classified by bioinformatics analysis. The results indicated that most of the up-regulated proteins were responsible for P. aeruginosa (P6) survival under harsh environmental conditions and utilization crude oil as carbon source in a better way. The physiological processes, chemotaxis to carbon sources, terminal oxidation of carbons, carbon source uptake and nutrients transport, were associated with the up-regulated proteins in the study. The findings revealed the most influential proteins and set a clear direction for future research.


Assuntos
Biodegradação Ambiental , Petróleo/metabolismo , Proteoma , Proteômica , Pseudomonas aeruginosa/metabolismo , Biologia Computacional/métodos , Mapeamento de Interação de Proteínas , Mapas de Interação de Proteínas , Proteômica/métodos , Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz
4.
J Environ Sci (China) ; 18(4): 701-7, 2006.
Artigo em Inglês | MEDLINE | ID: mdl-17078548

RESUMO

The objective of this study was to characterize the mass concentration and chemical composition of aerosol particles (PM2.5) collected at Tongliao (Inner Mongolia Autonomous Region, China), a site in Horqin Sand-land in northeast China. During spring 2005, the mass concentration for PM2.5 was (126 +/- 71)microg/m3 in average. Five dust storm events were monitored with higher concentration of (255 +/- 77)microg/m3 in average than the non dusty days of (106 +/- 44)microg/m3. Concentrations for 20 elements were obtained by the PIXE method. Mass concentrations of Al, Mg, Si, K, Ca, Ti, Mn, and V, which increased with the PM2.5 concentration, were higher than the pollution elements (S, Cl, Zn, Ar, Se, Br, and Pb). Enrichment factor relative to crust material was also calculated, which showed dust trace elements were mainly from earth upper crust and pollution elements were dominated the anthropogenic aerosols. The Si/Al, Ca/Al, and Fe/Al ratios in PM2.5 samples at Tongliao were 4.07, 0.94, and 0.82, respectively, which were remarkably different with those on other source regions, such as "Western desert source region", "North desert source region" and central Asia source. Air mass back-trajectory analysis identified three kinds of general pathways were associated with the aerosol particle transport to Tongliao, but have the similar elemental ratios, implying that elemental signatures for dust aerosol from Horqin Sand-land were different with other regions.


Assuntos
Poluentes Atmosféricos/análise , Monitoramento Ambiental/métodos , Oligoelementos/análise , China , Tamanho da Partícula , Estações do Ano
5.
Huan Jing Ke Xue ; 26(4): 30-4, 2005 Jul.
Artigo em Chinês | MEDLINE | ID: mdl-16212163

RESUMO

The objectives of this research are to characterise the mineralogy of soil-derived dust in Northern China and to set up the mineralogical signature to trace their origin. Mineral composition of aerosol particles is investigated at five sites (Aksu, Dunhuang, Yulin, Tongliao and Changwu) during the intensive field campaign period of ACE-Asia. The results show that the Kaolinite (K) to Chlorite (C) ratio is sensitive to the regional origin of Asian dust. Western source areas (represent by Aksu) displayed the lowest K/ C ratio of 0.3 (in average), while it was found that to increase up to 0.70 (in average) as moving towards north source areas (represent by Yulin). By studying transported dust in a depositional area representative of the Chinese Loess Plateau, the usefulness of the K/C ratio to retrieve the origin of the dust by associating it with back air-mass trajectories is checked. Compared the mineralogical data between Asian dust and Sahara dust, it is shown that K/C ratio is also a good signature to identify the source areas on the global scale.


Assuntos
Poluentes Atmosféricos/análise , Silicatos de Alumínio/análise , Poeira/análise , Monitoramento Ambiental/métodos , Solo/análise , Aerossóis , Movimentos do Ar , China , Argila , Tamanho da Partícula , Vento
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