2009
DOI: 10.1016/j.gca.2009.06.006
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Solubility and dissimilatory reduction kinetics of iron(III) oxyhydroxides: A linear free energy relationship

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Cited by 160 publications
(124 citation statements)
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“…The kinetics of microbial iron oxide reduction are influenced by many factors, including mineral surface area, the extent of particle aggregation, crystal structure, solubility, and the amount of usable energy available for microbial metabolism (26,62,68,85). In the present study, strain Z6 follows the general trend that less crystalline ferric iron minerals are more rapidly reduced and to a greater extent than the more crystalline iron oxides (Fig.…”
Section: Discussionsupporting
confidence: 54%
“…The kinetics of microbial iron oxide reduction are influenced by many factors, including mineral surface area, the extent of particle aggregation, crystal structure, solubility, and the amount of usable energy available for microbial metabolism (26,62,68,85). In the present study, strain Z6 follows the general trend that less crystalline ferric iron minerals are more rapidly reduced and to a greater extent than the more crystalline iron oxides (Fig.…”
Section: Discussionsupporting
confidence: 54%
“…7 and Table S2 in the Supplement). The down-core distributions of Fe PW and Mn PW were consistent with microbial dissimilatory Mn and Fe reduction during organic matter oxidation (Canfield and Thamdrup, 2009), and thus concentrations were elevated at defined depth horizons controlled by their redox potential (Eh) (Bonneville et al, 2009;Raiswell and Canfield, 2012). The Fe PW and Mn PW concentrations near the sediment-seawater interface were used to calculate fluxes of Fe and Mn to bottom waters following diffusion of reduced Fe and Mn species across an oxygenated layer in surface sediments.…”
Section: Supply From Sediment Pore Watersmentioning
confidence: 76%
“…The dissolution kinetics and equilibrium solubilities of a large range of pure Fe(III) oxides and oxyhydroxide mineral phases have been measured experimentally (Cornell and Schwertmann, 2003;Bonneville et al, 2009). However, these datasets cannot be directly applied to global dust models because dust samples are usually composed of a variable mixture of Fe minerals that have a variety of sizes as well as mineralogical and chemical compositions (Shi et al, 2011).…”
Section: Introductionmentioning
confidence: 99%