Evidence map›Paper›PMID 33376859›Full record

ArticleACS omega2020

Study on Denitration Performance of Solid Waste Blast Furnace Slag Catalysts under Different Preparation Processes.

Zhao Lu, Zhang Lei, Shu Hao, Jia Yang, Zhang Lei, Bai Fang, Chen Xiaosheng

Abstract read
In one paragraph

Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zhao LuSchool of Geology and Environment, Xi'an University of Science and Technology, Xi'an 710054, China.
Zhang LeiSchool of Geology and Environment, Xi'an University of Science and Technology, Xi'an 710054, China.
Shu HaoInstitute of Water Resources and Hydro-Electric Engineering, Xi'an University of Technology, Xi'an 710048, China.
Jia YangInstitute of Water Resources and Hydro-Electric Engineering, Xi'an University of Technology, Xi'an 710048, China.
Zhang LeiChina National Heavy Machinery Research Institute Co, Ltd, Xi'an 710032, China.
Bai FangCAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China.
Chen XiaoshengShenmu Hongliulin Coal Mine of Shaanxi Coal Industry Co., Ltd., Shenmu 719300, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, blast furnace slag, a high-yield industrial solid waste, was taken as the research object and it was used as the main material. Bentonite was used as the binder, and water was added to shape the blast furnace slag into a small column. The denitration catalyst was prepared using different methods, its denitration performances were compared and analyzed, and the best preparation method and process parameters were screened. Results showed that bentonite will clearly improve denitration performance, and 4:1 blast furnace slag and bentonite was selected as the molding ratio to reduce the effect of bentonite on its performance, combined with the hardness and surface adhesion of the prepared carrier. Separately, the catalysts were prepared using citric acid impregnation, hydrothermal decomposition, and mixing method, and active Mn was loaded. Among them, the hydrothermal decomposition method cannot completely decompose in a closed kettle, resulting in a lower denitration performance. The catalyst prepared using the mixing method is superior to that prepared using the impregnation method because the active component prepared by the former was more uniformly dispersed, and simple and easy to operate, which can meet the needs of the excess denitration catalysts of small enterprises.

Identifiers

PMID33376859
PMCPMC7758900

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.