Hornblende dissolution kinetics at 25°C

Frogner, Paul; Schweda, Peter

doi:10.1016/s0009-2541(98)00078-3

Cited by 35 publications

(16 citation statements)

References 10 publications

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“…The interpretation presented above differs from that of Frogner and Schweda (1998), who observed a temporal slowing of hornblende dissolution rates. Frogner and Schweda (1998) argued that the reconstruction of surfaces after preferential metal release was responsible for the observed slowing of dissolution rates.…”

contrasting

confidence: 82%

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Do clay mineral dissolution rates reach steady state?

Köhler¹,

Bosbach²,

Oelkers³

2005

Geochimica et Cosmochimica Acta

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contrasting

confidence: 82%

“…Frogner and Schweda (1998) argued that the reconstruction of surfaces after preferential metal release was responsible for the observed slowing of dissolution rates. The preferential release of aluminum during hornblende dissolution at pH 3.0 leads to a leached layer of more than 50 nm in depth.…”

mentioning

confidence: 99%

Do clay mineral dissolution rates reach steady state?

Köhler¹,

Bosbach²,

Oelkers³

2005

Geochimica et Cosmochimica Acta

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“…A large number of studies have focused on hornblende dissolution rates at ambient temperatures (Nickel, 1973;Cygan et al, 1989;Sverdrup, 1990;Swoboda-Colberg and Drever, 1993;Zhang, 1990;Zhang et al, 1993Zhang et al, , 1996Frogner and Schweda, 1998;Golubev et al, 2005;Givens and Brantley, unpublished 2 ). A limited number of studies have investigated the dissolution rates of other amphiboles including anthophyllite (Mast and Drever, 1987 at 22°C;Chen and Brantley, 1998) and tremolite (Schott et al, 1981;Rozalen et al, 2013).…”

Section: Comparison Of Retrieved Actinolite and Chlorite Rates With Pmentioning

confidence: 99%

Dissolution rates of actinolite and chlorite from a whole-rock experimental study of metabasalt dissolution from 2 ≤ pH ≤ 12 at 25 °C

et al. 2014

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“…(6.34) to the data by either linear or non-linear techniques. Since the (Frogner and Schweda, 1998) data appear to diverge from the remainder of the data, we have treated them separately. The remainder of the data was fit together with the (Cygan et al, 1989) data excluded due to unusual aspects of experimental protocol.…”

Section: Linear Fitting Of Log Transformed Data Versus Non-linear Fitmentioning

confidence: 99%

Data Fitting Techniques with Applications to Mineral Dissolution Kinetics

Bandstra

Brantley

2008

Kinetics of Water-Rock Interaction

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A common problem in chemical kinetics is the development of a rate law that describes the dependence of the reaction rate on the surrounding conditions such as concentrations of reacting species or temperature of the reacting media (see Chap. 1). The most direct approach to solving this problem is to measure reaction rates under systematically varied conditions and then to perform mathematical analyses on these data to determine the form of the rate law and to generate estimates of any unknown constants, or parameters, that make up the proposed rate law. Other chapters in this book provide information both for designing kinetics experiments and for selecting appropriate rate laws for a variety of geochemical reactions. In this chapter we describe the mathematical analyses -known collectively as curve fitting or regression analysis -that can be used to select a rate equation that matches a given data set, to generate estimates for any unknown parameters in the rate equation (e.g., rate constants or reaction orders), and to quantify the uncertainty associated with the estimated values for the parameters. As we traverse this entirely quantitative process we will attempt to describe the underlying, qualitative process of looking at kinetic data: plots to make, features of these plots to examine, and conceptual sketches to draw.In order to fit a curve to data one must first obtain the data. Over the past few decades, researchers have produced numerous high quality studies on the kinetics of mineral dissolution and the effects of experimental conditions such as pH, temperature, concentration of dissolved metal ions, mineral composition, etc. We have compiled this dissolution rate data for a number of rocks and minerals including apatite, basalt, biotite, hornblende, kaolinite, olivine, plagioclase, potassium feldspar, pyroxene, and quartz. We will use these data, which are available in Appendix I of

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Hornblende dissolution kinetics at 25°C

Cited by 35 publications

References 10 publications

Do clay mineral dissolution rates reach steady state?

Do clay mineral dissolution rates reach steady state?

Dissolution rates of actinolite and chlorite from a whole-rock experimental study of metabasalt dissolution from 2 ≤ pH ≤ 12 at 25 °C

Data Fitting Techniques with Applications to Mineral Dissolution Kinetics

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