Ball-Milled Biochar and Its Effect on Remediation of Soil from Industrial Area
Bibliographic record
Abstract
The increasing soil pollution with heavy metals requires new and sustainable remediation solutions.Biochar, an environmentally friendly carbon material derived from various biomasses, has recently been used as a soil amendment to immobilize heavy metals in polluted soils.Despite the recognized benefits of biochar, its adsorption and immobilization efficiency still needs to be improved.Recently, ball milling has been considered as an environmentally friendly technology for biochar modification.Mechanical grinding of biochar into fine micro-and nano-sized particles can improve the physical and chemical properties of biochar in terms of metal adsorption [1,2].Therefore, testing of ball-milled biochar for metal immobilization in polluted soils is crucial for the development of nanoremediation.The objective of this work was to compare selected properties of pristine and ball-milled biochars and their effect on selected soil properties and leachability of metals from soil polluted by the smelting industry.Biochar obtained by pyrolysis at 650 C from roadside deciduous trees (Fluid SA, Sdziszw, Poland) was fractionated into: macrosized biochar (MBC) with a particle size of 1 mm and ball-milled biochar (BBC) with an average particle size of 52 m.Ball milling was performed in a planetary ball mill (S100; Retsch Corporation) with agate balls of 2.4 and 10 mm for 1.6 h at 575 rpm [3].Immobilization of Cu (1298 mg/kg), Pb (268 mg/kg), and Zn (60 mg/kg) in soil from an industrial area (Legnica, Poland) was performed for the following treatments: 1) control of polluted soil, 2) soil + 5% MBC (w/w); 3) soil + 5% BBC (w/w).The soil was incubated in acrylic columns (25 cm length, 2.5 cm inner diameter) for 75 days.A volume of distilled water (determined based on pore volume) was added to each column every ten days and leachates were collected from all columns after 48 hours and characterized.BBC exhibited higher cation exchange capacity and more acidic surface functional groups (carboxyl, phenolic, and lactone groups) than MBC.Although BBC contained higher total metal contents than MBC, their water solubility was low, which minimized the risk of possible metal leaching from the BBC in soil.Soil amendments with MBC and BBC mainly affected soil pH and soil organic matter content.BBC was more beneficial than MBC in improving these soil properties.Due to the acidic pH (4.26) of the soil, the mobility of Cu was very high (62.8%,with 26.8% of Cu being bioavailable).Pb and Zn occurred at lower concentrations and showed intermediate mobility (23.9% and 29.7%, respectively).BBC proved to be more effective than MBC in immobilizing of Cu and Pb.In contrast, MBC increased the leachability of Cu, Pb, and Zn compared to the control soil.Ball-milled biochar from roadside deciduous trees could be a promising remediation option to reduce the leachability of mobile Cu and Pb in acidified soils affected by the smelting industry.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".