Nanoparticles in natural systems I: The effective reactive surface area of the natural oxide fraction in field samples
Information on the particle size and reactive surface area of natural samples is essential for the application of surface complexation models (SCM) to predict bioavailability, toxicity, and transport of elements in the natural environment. In addition, this information will be of great help to enlig...
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| Published in | Geochimica et cosmochimica acta Vol. 74; no. 1; pp. 41 - 58 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
2010
|
| Subjects | |
| Online Access | Get full text |
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| Abstract | Information on the particle size and reactive surface area of natural samples is essential for the application of surface complexation models (SCM) to predict bioavailability, toxicity, and transport of elements in the natural environment. In addition, this information will be of great help to enlighten views on the formation, stability, and structure of nanoparticle associations of natural organic matter (NOM) and natural oxide particles.
Phosphate is proposed as a natively present probe ion to derive the effective reactive surface area of natural samples. In the suggested method, natural samples are equilibrated (⩾10
days) with 0.5
M NaHCO
3 (pH
=
8.5) at various solid–solution ratios. This matrix fixes the pH and ionic strength, suppresses the influence of Ca
2+ and Mg
2+ ions by precipitation these in solid carbonates, and removes NOM due to the addition of activated carbon in excess, collectively leading to the dominance of the PO
4–CO
3 interaction in the system. The data have been interpreted with the charge distribution (CD) model, calibrated for goethite, and the analysis results in an effective reactive surface area (SA) and a reversibly bound phosphate loading
Γ for a series of top soils.
The oxidic SA varies between about 3–30
m
2/g sample for a large series of representative agricultural top soils. Scaling of our data to the total iron and aluminum oxide content (dithionite–citrate–bicarbonate extractable), results in the specific surface area between about 200–1200
m
2/g oxide for most soils, i.e. the oxide particles are nano-sized with an equivalent diameter in the order of ∼1–10
nm if considered as non-porous spheres. For the top soils, the effective surface area and the soil organic carbon fraction are strongly correlated. The oxide particles are embedded in a matrix of organic carbon (OC), equivalent to ∼1.4
±
0.2
mg OC/m
2 oxide for many soils of the collection, forming a NOM–mineral nanoparticle association with an average NOM volume fraction of ∼80%. The average mass density of such a NOM–mineral association is ∼1700
±
100
kg/m
3 (i.e. high-density NOM). The amount of reversibly bound phosphate is rather close to the amount of phosphate that is extractable with oxalate. The phosphate loading varies remarkably (
Γ
≈
1–3
μmol/m
2 oxide) in the samples. As discussed in part II of this paper series (
Hiemstra et al., 2010), the phosphate loading (
Γ) of field samples is suppressed by surface complexation of NOM, where hydrophilic, fulvic, and humic acids act as a competitor for (an)ions via site competition and electrostatic interaction. |
|---|---|
| AbstractList | Information on the particle size and reactive surface area of natural samples is essential for the application of surface complexation models (SCM) to predict bioavailability, toxicity, and transport of elements in the natural environment. In addition, this information will be of great help to enlighten views on the formation, stability, and structure of nanoparticle associations of natural organic matter (NOM) and natural oxide particles.
Phosphate is proposed as a natively present probe ion to derive the effective reactive surface area of natural samples. In the suggested method, natural samples are equilibrated (⩾10
days) with 0.5
M NaHCO
3 (pH
=
8.5) at various solid–solution ratios. This matrix fixes the pH and ionic strength, suppresses the influence of Ca
2+ and Mg
2+ ions by precipitation these in solid carbonates, and removes NOM due to the addition of activated carbon in excess, collectively leading to the dominance of the PO
4–CO
3 interaction in the system. The data have been interpreted with the charge distribution (CD) model, calibrated for goethite, and the analysis results in an effective reactive surface area (SA) and a reversibly bound phosphate loading
Γ for a series of top soils.
The oxidic SA varies between about 3–30
m
2/g sample for a large series of representative agricultural top soils. Scaling of our data to the total iron and aluminum oxide content (dithionite–citrate–bicarbonate extractable), results in the specific surface area between about 200–1200
m
2/g oxide for most soils, i.e. the oxide particles are nano-sized with an equivalent diameter in the order of ∼1–10
nm if considered as non-porous spheres. For the top soils, the effective surface area and the soil organic carbon fraction are strongly correlated. The oxide particles are embedded in a matrix of organic carbon (OC), equivalent to ∼1.4
±
0.2
mg OC/m
2 oxide for many soils of the collection, forming a NOM–mineral nanoparticle association with an average NOM volume fraction of ∼80%. The average mass density of such a NOM–mineral association is ∼1700
±
100
kg/m
3 (i.e. high-density NOM). The amount of reversibly bound phosphate is rather close to the amount of phosphate that is extractable with oxalate. The phosphate loading varies remarkably (
Γ
≈
1–3
μmol/m
2 oxide) in the samples. As discussed in part II of this paper series (
Hiemstra et al., 2010), the phosphate loading (
Γ) of field samples is suppressed by surface complexation of NOM, where hydrophilic, fulvic, and humic acids act as a competitor for (an)ions via site competition and electrostatic interaction. Information on the particle size and reactive surface area of natural samples is essential for the application of surface complexation models (SCM) to predict bioavailability, toxicity, and transport of elements in the natural environment. In addition, this information will be of great help to enlighten views on the formation, stability, and structure of nanoparticle associations of natural organic matter (NOM) and natural oxide particles. Phosphate is proposed as a natively present probe ion to derive the effective reactive surface area of natural samples. In the suggested method, natural samples are equilibrated (10 days) with 0.5 M NaHCO3 (pH = 8.5) at various solid–solution ratios. This matrix fixes the pH and ionic strength, suppresses the influence of Ca2+ and Mg2+ ions by precipitation these in solid carbonates, and removes NOM due to the addition of activated carbon in excess, collectively leading to the dominance of the PO4–CO3 interaction in the system. The data have been interpreted with the charge distribution (CD) model, calibrated for goethite, and the analysis results in an effective reactive surface area (SA) and a reversibly bound phosphate loading G for a series of top soils. The oxidic SA varies between about 3–30 m2/g sample for a large series of representative agricultural top soils. Scaling of our data to the total iron and aluminum oxide content (dithionite–citrate–bicarbonate extractable), results in the specific surface area between about 200–1200 m2/g oxide for most soils, i.e. the oxide particles are nano-sized with an equivalent diameter in the order of 1–10 nm if considered as non-porous spheres. For the top soils, the effective surface area and the soil organic carbon fraction are strongly correlated. The oxide particles are embedded in a matrix of organic carbon (OC), equivalent to 1.4 ± 0.2 mg OC/m2 oxide for many soils of the collection, forming a NOM–mineral nanoparticle association with an average NOM volume fraction of 80%. The average mass density of such a NOM–mineral association is 1700 ± 100 kg/m3 (i.e. high-density NOM). The amount of reversibly bound phosphate is rather close to the amount of phosphate that is extractable with oxalate. The phosphate loading varies remarkably (G ˜ 1–3 µmol/m2 oxide) in the samples. As discussed in part II of this paper series (Hiemstra et al., 2010), the phosphate loading (G) of field samples is suppressed by surface complexation of NOM, where hydrophilic, fulvic, and humic acids act as a competitor for (an)ions via site competition and electrostatic interaction Information on the particle size and reactive surface area of natural samples is essential for the application of surface complexation models (SCM) to predict bioavailability, toxicity, and transport of elements in the natural environment. In addition, this information will be of great help to enlighten views on the formation, stability, and structure of nanoparticle associations of natural organic matter (NOM) and natural oxide particles. Phosphate is proposed as a natively present probe ion to derive the effective reactive surface area of natural samples. In the suggested method, natural samples are equilibrated ([greater-or-equal, slanted]10 days) with 0.5 M NaHCO(3) (pH = 8.5) at various solid-solution ratios. This matrix fixes the pH and ionic strength, suppresses the influence of Ca(2+) and Mg(2+) ions by precipitation these in solid carbonates, and removes NOM due to the addition of activated carbon in excess, collectively leading to the dominance of the PO(4)-CO(3) interaction in the system. The data have been interpreted with the charge distribution (CD) model, calibrated for goethite, and the analysis results in an effective reactive surface area (SA) and a reversibly bound phosphate loading G for a series of top soils. The oxidic SA varies between about 3-30 m(2)/g sample for a large series of representative agricultural top soils. Scaling of our data to the total iron and aluminum oxide content (dithionite-citrate-bicarbonate extractable), results in the specific surface area between about 200-1200 m(2)/g oxide for most soils, i.e. the oxide particles are nano-sized with an equivalent diameter in the order of [not, vert, similar]1-10 nm if considered as non-porous spheres. For the top soils, the effective surface area and the soil organic carbon fraction are strongly correlated. The oxide particles are embedded in a matrix of organic carbon (OC), equivalent to [not, vert, similar]1.4 +/- 0.2 mg OC/m(2) oxide for many soils of the collection, forming a NOM-mineral nanoparticle association with an average NOM volume fraction of [not, vert, similar]80%. The average mass density of such a NOM-mineral association is [not, vert, similar]1700 +/- 100 kg/m(3) (i.e. high-density NOM). The amount of reversibly bound phosphate is rather close to the amount of phosphate that is extractable with oxalate. The phosphate loading varies remarkably (G [asymptotic to] 1-3 kmol/m(2) oxide) in the samples. As discussed in part II of this paper series (Hiemstra et al., 2010), the phosphate loading (G) of field samples is suppressed by surface complexation of NOM, where hydrophilic, fulvic, and humic acids act as a competitor for (an)ions via site competition and electrostatic interaction. |
| Author | Antelo, Juan Rahnemaie, Rasoul Hiemstra, Tjisse Riemsdijk, Willem H. van |
| Author_xml | – sequence: 1 givenname: Tjisse surname: Hiemstra fullname: Hiemstra, Tjisse email: tjisse.hiemstra@wur.nl organization: Department of Soil Quality, Wageningen University, P.O. Box 47, NL 6700 AA Wageningen, The Netherlands – sequence: 2 givenname: Juan surname: Antelo fullname: Antelo, Juan organization: Department of Soil Quality, Wageningen University, P.O. Box 47, NL 6700 AA Wageningen, The Netherlands – sequence: 3 givenname: Rasoul surname: Rahnemaie fullname: Rahnemaie, Rasoul organization: Department of Soil Science, Tarbiat Modares University, P.O. Box 14115-336, Tehran, Iran – sequence: 4 givenname: Willem H. van surname: Riemsdijk fullname: Riemsdijk, Willem H. van organization: Department of Soil Quality, Wageningen University, P.O. Box 47, NL 6700 AA Wageningen, The Netherlands |
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