Institution
Xuzhou Institute of Technology
Education•Xuzhou, China•
About: Xuzhou Institute of Technology is a education organization based out in Xuzhou, China. It is known for research contribution in the topics: Catalysis & Computer science. The organization has 1696 authors who have published 1521 publications receiving 13541 citations.
Topics: Catalysis, Computer science, Adsorption, Microstructure, Coal mining
Papers published on a yearly basis
Papers
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TL;DR: A novel strain of DPAB is described and the optimal conditions for nitrogen and phosphorus removal by this strain are described, and the denitrification rate was 89.96%.
30 citations
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TL;DR: In this article, a simple, effective and environmental-friendly method was adopted for enhancing the photocatalytic activity of g-C 3 N 4 in the reduction of aqueous Cr 6+ under visible-light irradiation.
30 citations
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TL;DR: In this article, the adsorption-desorption characteristics of heavy metal ions on original and aged microplastics were studied. And the effect of the ageing process on the physicochemical properties of microplastic particles was analyzed.
30 citations
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TL;DR: The physicochemical properties of fly ash from two kinds of coal-fired power plants were studied in this article, where three aspects were examined: the micro-morphology, the mineral composition and the content of heavy metals.
Abstract: The physicochemical properties of fly ash from two kinds of coal-fired power plants were studied. Three aspects were examined: the micro-morphology, the mineral composition and the content of heavy metals. The results show that the fly ash from plants using a circulating fluidized bed are more irregular particles, while the particles from the plants using a pulverized coal-fired boiler are mainly spherical in shape. Quartz and mullite are the main crystalline phases in the ash. Clearly, both the technology and the coal used by a power plant can influence the mineral composition of the ash. The mineral composition of fly ash from a circulating fluidized bed is more complex than that from a pulverized coal-fired boiler. The quantity of elements found in the fly ash is greater than that found in the bottom ash for the same plant. Heavy metals are likely to be enriched in the fly ash. Heavy metal leachability was studied using two leaching methods. The results indicate that most of the heavy metals that leached during either batch leaching or column leaching experiments did not exceed the related maximum concentration standards. But Ni concentrations in the leachates from both batch and column tests exceed the standard. The highest excess rates in both tests were 572% and 497%, which levels might threaten the environment.
30 citations
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TL;DR: In this article, a mini-review concluded and discussed the fabrication strategies as well as CO2 separation properties of COFs-based membranes in the past five years (from 2014 to present).
Abstract: Membrane technology has evolved as an alternative candidate for CO2 separation due to their inherent attributes, such as high energy efficiency, small capital investment, and environmentally benign characteristics. The key point of developing advanced membranes with satisfied performance is to find the balance between selectivity and permeability. Recently, advanced porous open framework materials, especially covalent organic frameworks (COFs), have attracted much attentions in academia and industry due to their high porosity, large surface area and regular pore size. Moreover, their adjustable pore size, diversify topological structure and sieving capacity further endowed them with unprecedented opportunities for efficient CO2 separation. This mini-review concluded and discussed the fabrication strategies as well as CO2 separation properties of COFs-based membranes in the past five years (from 2014 to present). The opportunities and challenges in the related fields are also summarized.
30 citations
Authors
Showing all 1711 results
Name | H-index | Papers | Citations |
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Peng Wang | 108 | 1672 | 54529 |
Qiong Wu | 51 | 316 | 12933 |
Wenping Cao | 34 | 176 | 4093 |
Bin Hu | 30 | 213 | 3121 |
Syed Abdul Rehman Khan | 29 | 131 | 2733 |
Jingui Duan | 29 | 93 | 3807 |
Vivian C.H. Wu | 25 | 105 | 2566 |
Lei Chen | 16 | 99 | 1062 |
Chao Wang | 16 | 74 | 741 |
Wenbin Gong | 16 | 27 | 953 |
Jing Li | 16 | 40 | 1025 |
Chao Liu | 15 | 43 | 737 |
Qinglin Wang | 14 | 72 | 595 |
Yaocheng Zhang | 14 | 54 | 566 |
Chao Wang | 13 | 25 | 774 |