Evidence map›Paper›PMID 34207811›Full record

ArticleMaterials (Basel, Switzerland)2021

Recycled Steel Slag as a Porous Adsorbent to Filter Phosphorus-Rich Water with 8 Filtration Circles.

Han Lee, Yen-Ling Peng, Liang-Ming Whang, Jiunn-Der Liao

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2021. 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
0.9field-weighted citation impact, top 25% 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, 8 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

4 authors at 1 institution in 1 country.

Han LeeDepartment of Materials Science and Engineering, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan.
Yen-Ling PengDepartment of Materials Science and Engineering, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan.
Liang-Ming WhangDepartment of Environmental Engineering, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan.
Jiunn-Der LiaoDepartment of Materials Science and Engineering, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan.
National Cheng Kung University · TW

Funding

Ministry of Science and Technology, Taiwan 109-2811-E-006-531-MY2Ministry of Science and Technology, Taiwan MOST 108-2218-E-006-054-MY3
6 · The paper itself

Abstract

Steel slag is a secondary product from steelmaking process through alkaline oxygen furnace or electric arc furnace (EAF). The disposal of steel slag has become a thorny environmental protection issue, and it is mainly used as unbound aggregates, e.g., as a secondary component of asphalt concrete used for road paving. In this study, the characteristics of compacted porous steel slag disc (SSD) and its application in phosphorous (P)-rich water filtration are discussed. The SSD with an optimal porosity of 10 wt% and annealing temperature of 900 °C, denoted as SSD-P (10, 900) meets a compressive strength required by ASTM C159-06, which has the capability of much higher than 90% P removal (with the effluent standard < 4 mg P/L) within 3 h, even after eight filtration times. No harmful substances from SSD have been detected in the filtered water, which complies with the effluent standard ISO 14001. The reaction mechanism for P-rich water filtration is mediated by water, followed by two reaction steps-CaO in SSD hydrolyzed from the matrix of SSD to Ca

Indexed as

circular economyfiltration timesphosphorus removalphosphorus-rich waterporous steel slag disc

Identifiers

PMID34207811
PMCPMC8228387
OpenAlexW3172798090

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.