Evidence map›Paper›PMID 39519853›Full record

ArticleMolecules (Basel, Switzerland)2024

Optimization of Magnetic Biochar Preparation Process, Based on Methylene Blue Adsorption.

Bin Liu, Yixuan Wu, Zebing Xing, Ji Zhang, Yuxin Xue

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Adsorptive Removal of Benzophenone-4 (BP-4) Using Magnetically Recoverable FeWater environment research : a research publication of the Water Environment Federation · 2026
    Article
  2. Article
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  5. Review
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

5 authors.

Bin LiuCollege of Agricultural Engineering, Shanxi Agricultural University, Jinzhong 030801, China.ORCID 0009-0007-5985-5694
Yixuan WuCollege of Food, Shanxi Agricultural University, Jinzhong 030801, China.
Zebing XingCollege of Agricultural Engineering, Shanxi Agricultural University, Jinzhong 030801, China.
Ji ZhangCollege of Agricultural Engineering, Shanxi Agricultural University, Jinzhong 030801, China.
Yuxin XueCollege of Agricultural Engineering, Shanxi Agricultural University, Jinzhong 030801, China.

Funding

Shanxi Province 2024 Graduate Education Innovation Plan - Graduate Practice Innovation Project 2024SJ120This research was supported by 2024 Science and Technology Support Project for High-Quality Development of "Special" and "Excellent" Agriculture: Demonstration of Biochar-based Organic Fertilizer Production and Soil Improvement Technology TYGC24-19
6 · The paper itself

Abstract

The search for low-cost and effective adsorbents for the removal of organic dyes from contaminated water is urgently needed. The substantial amount of waste mushroom cultivation substrates generated in practical production can serve as an ideal material for the preparation of adsorbents. In this study, we investigated the main control parameters affecting the performance of magnetic mushroom substrate biochar and optimized the process of preparing biochar by using the Plackett-Burman and central composite design methods. Various analytical techniques including SEM, EDX, BET, and VSM were used to characterize the biochar. The results indicate that the carbonization temperature had the most significant impact on the yield and adsorption performance of biochar. Under the conditions of a carbonization temperature of 600 °C, a carbonization retention time of 1 h, and an impregnation ratio of 0.1, the yield and methylene blue adsorption value of magnetic biochar were 42.54% and 2297.04 μg/g, respectively, with a specific surface area of 37.17 m

Indexed as

CharcoalMethylene BlueAdsorptionTemperatureWastewaterWater Pollutants, ChemicalWater PurificationbiocharCharcoalMethylene BlueWastewaterWater Pollutants, Chemicaladsorptionmagnetic biocharmushroom substrateprocess optimization

Identifiers

PMID39519853
PMCPMC11547553

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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.