Research Progress on the Effects of Support and Support Modification on the FTO Reaction Performance of Fe-Based Catalysts.

Yuan Wen, Chenliang Zhou, Linfei Yu, Qiang Zhang, Wenxiu He, Quansheng Liu

Open access · goldAbstract readReview

In one paragraph

Review in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

0.2field-weighted citation impact, top 57% of its field

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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 1 country.

Yuan WenInner Mongolia Key Laboratory of Coal Chemical Industry and Comprehensive Utilization, Inner Mongolia University of Science & Technology, Baotou 014010, China.

Chenliang ZhouInner Mongolia Key Laboratory of Coal Chemical Industry and Comprehensive Utilization, Inner Mongolia University of Science & Technology, Baotou 014010, China.

Linfei YuInner Mongolia Key Laboratory of Coal Chemical Industry and Comprehensive Utilization, Inner Mongolia University of Science & Technology, Baotou 014010, China.

Qiang ZhangBaotou Huan Run Environmental Protection Investment Co., Ltd., Baotou 014010, China.

Wenxiu HeInner Mongolia Key Laboratory of Coal Chemical Industry and Comprehensive Utilization, Inner Mongolia University of Science & Technology, Baotou 014010, China.

Quansheng LiuInner Mongolia Key Laboratory of High-Value Function Utilization of Low Rank Carbon Resource, Inner Mongolia University of Technology, Hohhot 010051, China.

Inner Mongolia University of Science and Technology · CNBaogang Group (China) · CNInner Mongolia University of Technology · CN

Funding

Natural Science Foundation Project of Inner Mongolia 2020MS02024

6 · The paper itself

Abstract

In recent years, the non-petroleum production of light olefins has been the research focus of Fischer-Tropsch olefin synthesis (FTO). Iron-based catalysts have attracted much attention because of their low price, high catalytic activity, and wide temperature range. In this paper, traditional modification, hydrophobic modification, and amphiphobic modification of the catalyst are summarized and analyzed. It was found that traditional modification (changing the pore size and surface pH of the catalyst) will reduce the dispersion of Fe, change the active center of the catalyst, and improve the selectivity of light olefins (for example, SiO

Indexed as

carbon materialFischer–Tropsch to olefinshydrophobic modificationiron-based catalystmetallic oxidemolecular sieve

Identifiers

PMID38067481

DOI10.3390/molecules28237749

PMCPMC10708045

OpenAlexW4388972177

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.