METAL SORPTION TO DIAGENETIC IRON AND MANGANESE OXYHYDROXIDES AND ASSOCIATED ORGANIC-MATTER - NARROWING THE GAP BETWEEN FIELD AND LABORATORY MEASUREMENTS
A. Tessier et al., METAL SORPTION TO DIAGENETIC IRON AND MANGANESE OXYHYDROXIDES AND ASSOCIATED ORGANIC-MATTER - NARROWING THE GAP BETWEEN FIELD AND LABORATORY MEASUREMENTS, Geochimica et cosmochimica acta, 60(3), 1996, pp. 387-404
Diagenetic Fe and Mn oxyhydroxides were isolated in situ by vertically
inserting inert collectors into the sediments of two geochemically di
fferent lakes located near Sudbury, Ontario. X-ray diffraction and ele
ctron microscopic analyses indicated that the Fe-rich material collect
ed was predominantly ferrihydrite and poorly crystallized lepidocrocit
e, while the Mn-rich material was a mixture of poorly crystallized Mn
oxyhydroxides. Conditional adsorption constants (K-Fe-M and K-Mn-M) we
re calculated using the concentrations of metals (Ca, Cd, Cu, Mg, Ni,
Pb, Zn) associated with the Fe- and Mn-rich material and the measured
dissolved concentrations of these metals. Comparison of these in situ
derived K-Fe-M and K-Mn-M values were made with: (1) the hydrolysis co
nstants of the metals; (2) laboratory-derived intrinsic surface comple
xation constants obtained for adsorption of these metals on well-chara
cterized Fe and Mn oxyhydroxides, and (3) predicted K-Fe-M and K-Mn-M
values determined using the surface complexation model under the geoch
emical conditions observed in the lakes. Complexation of these metals
with adsorbed natural organic matter was also compared to metal comple
xation with dissolved natural organic matter. The results are consiste
nt with the scenario that trace metals bind directly to the OH groups
of the Fe and Mn oxyhydroxides in circumneutral McFarlane Lake and to
the functional groups of organic matter adsorbed on Fe oxyhydroxides i
n the more acidic (pH = 4.8) Clearwater Lake. Alkaline earth metals Ca
and Mg bind, presumably as outer-sphere complexes, to the organic coa
tings. Our results provide support for the argument that laboratory-de
rived adsorption datasets may be useful for predicting metal adsorptio
n in the field.