Evidence map›Paper›PMID 38999169›Full record

ArticleMolecules (Basel, Switzerland)2024

Preparation and Screening of SRB Gel Particles Used for Deep Purification of Acid Mine Drainage.

Chunpeng Leng, Xi He, Yukuo Liu, Lifeng Shi, Fuping Li, Hao Wang, Cong Zhao, Siyu Yi, Lei Yu

Abstract read
PubMed Full text at PMC Publisher
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

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

9 authors.

Chunpeng LengCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China.
Xi HeKey Laboratory of Bioelectrochemical Water Pollution Control Technology in Tangshan City, North China University of Science and Technology, Tangshan 063210, China.
Yukuo LiuKey Laboratory of Bioelectrochemical Water Pollution Control Technology in Tangshan City, North China University of Science and Technology, Tangshan 063210, China.
Lifeng ShiKey Laboratory of Bioelectrochemical Water Pollution Control Technology in Tangshan City, North China University of Science and Technology, Tangshan 063210, China.
Fuping LiCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China.
Hao WangCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China.
Cong ZhaoKey Laboratory of Bioelectrochemical Water Pollution Control Technology in Tangshan City, North China University of Science and Technology, Tangshan 063210, China.
Siyu YiKey Laboratory of Bioelectrochemical Water Pollution Control Technology in Tangshan City, North China University of Science and Technology, Tangshan 063210, China.
Lei YuKey Laboratory of Bioelectrochemical Water Pollution Control Technology in Tangshan City, North China University of Science and Technology, Tangshan 063210, China.

Funding

Hebei Province doctoral graduate student innovation ability training funding project CXZZBS2024131Please add: This work was supported by Tangshan basic research science and technology project 23130212E
6 · The paper itself

Abstract

The progressive decline of the coal industry necessitates the development of effective treatment solutions for acid mine drainage (AMD), which is characterized by high acidity and elevated concentrations of heavy metals. This study proposes an innovative approach leveraging sulfate-reducing bacteria (SRB) acclimated to contaminated anaerobic environments. The research focused on elucidating the physiological characteristics and optimal growth conditions of SRB, particularly in relation to the pH level and temperature. The experimental findings reveal that the SRB exhibited a sulfate removal rate of 88.86% at an optimal temperature of 30 °C. Additionally, SRB gel particles were formulated using sodium alginate (SA) and carboxymethyl cellulose (CMC), and their performance was assessed under specific conditions (pH = 6, C/S = 1.5, T = 30 °C, CMC = 4.5%, BSNa = 0.4 mol/L, and cross-linking time = 9 h). Under these conditions, the SRB gel particles demonstrated an enhanced sulfate removal efficiency of 91.6%. Thermal analysis via differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA) provided further insights into the stability and properties of the SRB gel spheres. The findings underscore the potential of SRB-based bioremediation as a sustainable and efficient method for AMD treatment, offering a novel and environmentally friendly solution to mitigating the adverse effects of environmental contamination.

Indexed as

Biodegradation, EnvironmentalMiningAlginatesBacteriaCarboxymethylcellulose SodiumGelsHydrogen-Ion ConcentrationMetals, HeavySulfatesTemperatureWater Pollutants, ChemicalAlginatesCarboxymethylcellulose SodiumGelsMetals, HeavySulfatesWater Pollutants, Chemicalacid mine drainagegel particlessulfate reducing bacteriasulfate root removal rate

Identifiers

PMID38999169
PMCPMC11243500

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LicenceCC BY
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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.