Evidence map›Paper›PMID 36294040›Full record

ArticleInternational journal of environmental research and public health2022

Application of Rice Husk Biochar and Earthworm on Concentration and Speciation of Heavy Metals in Industrial Sludge Treatment.

Xingming Wang, Zhaoxia Chu, Tingyu Fan, Shuying Liang, Gang Li, Jiamei Zhang, Quan Zhen

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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
1.6field-weighted citation impact, top 17% 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, 13 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

7 authors at 5 institutions in 1 country.

Xingming WangState Key Laboratory of Safety and Health for Metal Mines, Sinosteel Maanshan General Institute of Mining Research Company Limited, Maanshan 243000, China.
Zhaoxia ChuKey Laboratory of Bioresource and Environmental Biotechnology of Anhui Higher Education Institutes, School of Biological Engineering, Huainan Normal University, Huainan 232038, China.
Tingyu FanThe State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mine, School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Shuying LiangChuzhou Bureau of Ecology and Environment, Chuzhou 239000, China.
Gang LiState Key Laboratory of Safety and Health for Metal Mines, Sinosteel Maanshan General Institute of Mining Research Company Limited, Maanshan 243000, China.
Jiamei ZhangInstitute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China.
Quan ZhenDepartment of Preventive Medicine, Bengbu Medical College, Bengbu 233033, China.
Anhui University of Science and Technology · CNBengbu Medical College · CNChinese Academy of Sciences · CNHuainan Normal University · CNMasteel (China) · CN

Funding

Anhui Province University Outstanding Young Talents at Home and Abroad Visiting Research Projects gxgwfx2019011Anhui University Natural Science Research Project KJ2019A0332Anhui University Natural Science Research Project KJ2019A0697Key research and development Program of Anhui Province 202104a06020027National Key Research and Development Program "Solid Waste Recycling" Key Project 2020YFC1908601National Natural Science Foundation of China 32001159National Natural Science Foundation of China 42102204National Natural Science Foundation of China 51878004National Natural Science Foundation of China 51978001Provincial Quality Engineering Teaching Research Project of Higher Education 2019jyxm1136Strategic Research and Consulting Project of Chinese Academy of Engineering 2021-XZ-17
6 · The paper itself

Abstract

The aim of this study was to assess the total concentration and speciation variation of heavy metals (Pb, Cd, Cu and Zn) during composting and vermicomposting of industrial sludge with different addition rations of rice husk biochar. Results indicated that pH, EC, total phosphorus (TP) and total potassium (TK) were increased and total organic carbon (TOC) and total nitrogen (TN) were decreased during the composting of industrial sludge with biochar compared with the control (sludge without biochar). The addition of earthworm to the biochar-amended sludge further decreased pH and TOC but highly enhanced the EC, TN, TP and TK. Comparatively lower concentrations of total and DTPA-extractable heavy metals were observed in biochar-amended sludge treatments mixed with earthworm in comparison with the biochar-amended sludge treatments without earthworm or the control. Sequential extraction methods demonstrated that vermicomposting of sludge with biochar converted more metals bound with exchangeable, carbonate and organic matter into the residual fraction in comparison with those composting treatments of sludge with biochar. As a result, the combination of rice husk biochar and earthworm accelerated the passivation of heavy metals in industrial sludge during vermicomposting. Rice husk biochar and earthworm can play a positive role in sequestering the metals during the treatment of industrial sludge. This research proposed a potential method to dispose the heavy metals in industrial sludge to transform waste into resource utilization.

Indexed as

Metals, HeavyOligochaetaOryzaSoil PollutantsAnimalsCadmiumCharcoalLeadNitrogenPentetic AcidPhosphorusPotassiumSewageSoilbiocharCadmiumCharcoalLeadMetals, HeavyNitrogenPentetic AcidPhosphorusPotassiumSewageSoilSoil Pollutantsearthwormheavy metalsindustrial sludgerice husk biocharvermicompost

Identifiers

PMID36294040
PMCPMC9603306
OpenAlexW4306742594

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.