| Literature DB >> 28644399 |
Dan Zhou1, Dan Liu2, Fengxiang Gao3, Mengke Li4, Xianping Luo5,6.
Abstract
The object of this study was to evEntities:
Keywords: biochar; contamination soils; heavy metal; mobility
Mesh:
Substances:
Year: 2017 PMID: 28644399 PMCID: PMC5551119 DOI: 10.3390/ijerph14070681
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Main characteristics of sewage sludge (SS) and its biochar (BC400).
| Property | Soil | SS | BC400 |
|---|---|---|---|
| Sand (%) | 12 | - | - |
| Silt (%) | 56 | - | - |
| Clay (%) | 32 | - | - |
| pH (H2O) | 7.89 | 6.63 | 6.42 |
| Total C (wt %) | - | 17.67 | 11.79 |
| Total H (wt %) | - | 3.201 | 0.79 |
| Total O (wt %) | - | 21.79 | 8.04 |
| Total N (wt %) | - | 3.17 | 1.04 |
| H/C | - | 2.17 | 0.8 |
| O/C | - | 0.92 | 0.51 |
| Ash (wt %) | - | 56.81 | 73.39 |
| Yield (%, | - | - | 57.63 |
| organic matter (g·kg−1) | 20.396 | 50.31 | 11.32 |
| Moisture content (%) | 3.75 | 23.92 | 0.14 |
| Cation exchange capacity (cmol·cm3·kg−1) | 2.83 | 34.9 | 21.1 |
| BET Surface area (m2·g−1) | - | 1.9687 | 17.3589 |
| Average pore size (nm) | - | 13.39247 | 8.85609 |
| Pore volume (cm·g−1) | - | 0.006591 | 0.038433 |
| Micropore volume (cm3·g−1) | - | 0.000354 | 0.001471 |
| Total K (mg·kg−1) | 525.4 | 67.75 | 75.12 |
| Total Cr (mg·kg−1) | 217 | 36.9 | 40.25 |
| Total Mn (mg·kg−1) | 301.4 | 254.4 | 264.3 |
| Total Cu (mg·kg−1) | 54.7 | 100.1 | 101.6 |
| Total Zn (mg·kg−1) | 53.9 | 12.6 | 21.35 |
Figure 1Equipment for the leaching experiment.
Negative and positive ions in precipitation in Jiangxi Province (mmol·L−1).
| Ions | SO42− | NO3− | F− | Cl− | NH4+ | Ca2+ | Mg2+ | Na+ | K+ |
|---|---|---|---|---|---|---|---|---|---|
| Average value of three years | 0.206 | 0.024 | 0.014 | 0.025 | 0.05 | 0.148 | 0.019 | 0.014 | 0.01 |
The chemical composition content in the base of simulated acid rain (mg·L−1).
| Component | CaSO4·2H2O | MgSO4·7H2O | NaF | KCl | (NH4)2SO4 | NH4NO3 | HCl |
|---|---|---|---|---|---|---|---|
| Concentration | 25.456 | 4.674 | 0.588 | 0.745 | 5.07 | 0.869 | 0.548 |
Figure 2Sorption isotherms of heavy metals onto BC400. ☆ Cr; ○ Mn; △ Cu; □ Zn. (a) Langmuir model fitting curve; (b) Freundlich model fitting curve.
Parameters of the Langmuir (LM) and Freundlich (FM) isotherm models for heavy metal adsorption onto sludge biochar.
| Heavy Metal | LM | FM | ||||
|---|---|---|---|---|---|---|
| Cr | 0.0324 ± 0.014 | 5.724 ± 1.141 | 0.9402 | 0.321 ± 0.126 | 1.627 ± 0.290 | 0.9172 |
| Mn | 0.041 ± 0.013 | 5.681 ± 0.723 | 0.9727 | 0.475 ± 0.084 | 1.861 ± 0.170 | 0.9797 |
| Cu | 4.498 ± 1.599 | 5.342 ± 0.279 | 0.9554 | 2.671 ± 0.294 | 4.288 ± 0.650 | 0.9327 |
| Zn | 0.179 ± 0.127 | 5.905 ± 0.981 | 0.8908 | 1.441 ± 0.284 | 2.727 ± 0.456 | 0.9380 |
Figure 3Fourier-transformed infrared spectra (FTIR) of SS and BC400 before and after adsorption.
Figure 4X-ray diffraction (XRD) patterns of SS and BC400 before and after adsorption; Q represents SiO2.
Figure 5Adsorption efficiency of BC400 for heavy metals in mono-metal and multi-metal solution. □ Cr; ☆ Mn; ▽ Cu; ○ Zn. (a) in mono-metal solution; (b) in multi-metal solution.
Figure 6The content of heavy metals in leachate. ■ soil + SAR; * soil + BC400 + SAR; ☆ soil + DW; ▼ soil + BC400 + DW. SAR, simulated acid rain.
Figure 7Changes of soil pH before and after leaching.
Figure 8Variation of heavy metal speciation over time with BC400 addition. (I) acid-soluble fraction, (II) reducible fraction, (III) oxidizable fraction, (IV) residual fraction). CK, untreated soils.
Figure 9The effect of leaching process on the fractions of heavy metal. (I) acid-soluble fraction, (II) reducible fraction, (III) oxidizable fraction, (IV) residual fraction). CK, untreated soils.