Understanding the food trading network is crucial for optimizing resource allocation, maintaining stability in the food system, and safeguarding food security. However, as one of the world’s largest agricultural prod...
Understanding the food trading network is crucial for optimizing resource allocation, maintaining stability in the food system, and safeguarding food security. However, as one of the world’s largest agricultural producers, there is a dearth of publicly available data sources pertaining to China’s interprovincial physical food trade. Here, we developed a dataset of interprovincial physical food flows in Chinese mainland for the period 2000–2022, using the trade gravity model with the integration of food supply, food demand, and transportation data. This dataset includes 15 key types of plant-based and animal-based food products and represents the longest time series covering the most extensive variety of food products to date on China’s food trade patterns. The dataset reveals changes in dietary structures and trade patterns across regions within China since the 21st century. This work provides a methodological framework and dataset that could support studies on virtual resources flow, agri-environmental impact assessment, and food policy formulation across various food categories and regions.
Bioremediation of uranium (VI)-contaminated aquifers was investigated by using bacteria isolated from a uranium tailing in South China. The bacteria were identified as Acinetobacter on the basis of physiological, bioc...
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Taked a uranium tailings pond in hunanprovince as the research object, three groups of reaction systems including min (mineral group), min-dbio (mineral-dead bacteria) and min-bio (mineral-viable bacteria) were set u...
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A new assessment model for river ecological vulnerability is developed based on the Variable Fuzzy Theory on the basis of river eco-environment characteristics. The model is applied to assess ecological vulnerability ...
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Bioremediation of uranium (VI)-contaminated aquifers was investigated by using bacteria isolated from a uranium tailing in South China. The bacteria were identified as Acinetobacter on the basis of physiological, bioc...
Bioremediation of uranium (VI)-contaminated aquifers was investigated by using bacteria isolated from a uranium tailing in South China. The bacteria were identified as Acinetobacter on the basis of physiological, biochemical tests and 16S rDNA sequence homology analysis. The protein concentration in the supernatant declined from 50.26 μ g/mL to 40.01 μ g/mL after uranium removal, and the activity of bacterial phosphatase increased from 36.04 U/L to 39.81 U/L. The FTIR, SEM-EDS and XRD demonstrated the involvement of functional groups in U (VI) binding, U accumulated on the surface of the bacteria and the precipitated is Uranyl Sulfite Hydrate. The results from this study demonstrate the potential of the U tolerant, bacterium Acinetobacter sp. USC B2 isolate might be considered as promising candidates in the design of uranium bioremediation strategies.
A novel poly(β-Cyclodextrin)/bentonite composite (β-CD/BNC) was successfully prepared through graft polymerisation by using ammonium persulphate-sodium bisulphate as initiators, and characterized by FT-IR, EDS and *...
A novel poly(β-Cyclodextrin)/bentonite composite (β-CD/BNC) was successfully prepared through graft polymerisation by using ammonium persulphate-sodium bisulphate as initiators, and characterized by FT-IR, EDS and *** equilibrium data fit Freundlich isotherm satisfactorily.
Taked a uranium tailings pond in hunanprovince as the research object, three groups of reaction systems including min (mineral group), min-dbio (mineral-dead bacteria) and min-bio (mineral-viable bacteria) were set u...
Taked a uranium tailings pond in hunanprovince as the research object, three groups of reaction systems including min (mineral group), min-dbio (mineral-dead bacteria) and min-bio (mineral-viable bacteria) were set up for the sequential batch experiments. The metal elements of U, Fe, Cd, and Pb in the uranium tailings which have reacted with S. oneidensis MR-1 for 2d, 4d, 10d, and 20d were studied by the sequential chemical extraction methods, to analyzed the effect of species of contaminants in Uranium Tailings by S. oneidensis MR-1. The results showed that the residual state is the main occurrence mode of each metal element. The release of contaminants from tailings is mainly attributed to the dissolution of exchangeable state. The complexation or adsorption of the dead bacteria and metal elements leads to the increase of the organic matter. The effect of *** MR-1 promoted the release of each metal elements in the exchangeable state, carbonate binding state, organic matter binding state and the amorphous iron manganese oxide binding state of tailings sample, and the reduction of S. oneidensis MR-1 caused U6+ to produce U4+, resulting in an increase in the content of residuals, while Fe3+ was reduced to Fe2+, resulted in an increase in the binding state of crystalline iron-manganese oxides.
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