2002
DOI: 10.1016/s0016-7037(02)00942-0
|View full text |Cite
|
Sign up to set email alerts
|

A spectrophotometric study of aqueous copper(I)–chloride complexes in LiCl solutions between 100 °C and 250 °C

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

7
54
2

Year Published

2010
2010
2020
2020

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 63 publications
(63 citation statements)
references
References 47 publications
7
54
2
Order By: Relevance
“…In this study, it was found that Cu(I) exists as CuCl 3 2-in a 4 m chloride solution at room temperature, with the third Cl -ligand being only weakly bound; at high temperature, the linear CuCl 2 -complex predominates, even with excess chloride in the solution. This study also concluded that the tetrahedral CuCl 4 3-complex proposed for example by the UV-Vis study of Liu W et al (2002) is not stable in aqueous solution; this theoretical prediction was independently confirmed by the XAS study of Brugger et al (2007). Similar good agreement between calculated and measured speciation and complex geometries were obtained by Liu X et al (2011bLiu X et al ( , 2012 in their ab initio MD simulations of the Au(I) hydrosulfide-and Ag (I) chloride-complexes.…”
Section: Ab Initio MD Simulation Of Cu(i) Complexationsupporting
confidence: 67%
See 2 more Smart Citations
“…In this study, it was found that Cu(I) exists as CuCl 3 2-in a 4 m chloride solution at room temperature, with the third Cl -ligand being only weakly bound; at high temperature, the linear CuCl 2 -complex predominates, even with excess chloride in the solution. This study also concluded that the tetrahedral CuCl 4 3-complex proposed for example by the UV-Vis study of Liu W et al (2002) is not stable in aqueous solution; this theoretical prediction was independently confirmed by the XAS study of Brugger et al (2007). Similar good agreement between calculated and measured speciation and complex geometries were obtained by Liu X et al (2011bLiu X et al ( , 2012 in their ab initio MD simulations of the Au(I) hydrosulfide-and Ag (I) chloride-complexes.…”
Section: Ab Initio MD Simulation Of Cu(i) Complexationsupporting
confidence: 67%
“…The hydrosulfide (mainly HS -and possibly H 2 S(aq)) and chloride (Cl -) ligands are particularly important for the transport of copper in hydrothermal fluids (e.g., Etschmann et al, 2010). A large number of solubility, in situ ultra-violet-visible (UV-Vis) spectroscopy, and XAS studies have been conducted to investigate Cu(I) speciation and retrieve thermodynamic properties for the important complexes from ambient to supercritical conditions (Archibald et al, 2002;Brugger et al, 2007;Crerar and Barnes, 1976;Etschmann et al, 2010;Fritz, 1980Fritz, , 1981Fulton et al, 2000aFulton et al, , 2000bHemley et al, 1992;Liu W et al, 2001Liu W et al, , 2002Seward, 1999, 2003;Seyfried Jr and Ding, 1993;Var'yash, 1992;Xiao et al, 1998). For Cu (I) bisulfide complexes, the current consensus is that Cu(HS) (aq) and Cu(HS) 2 -are the predominant species, with Cu(HS) 2 -becoming more important with increasing temperature .…”
Section: Experimental Studies Of Cu-cl and Cu-hs/h 2 S Complexesmentioning
confidence: 99%
See 1 more Smart Citation
“…van der Laan et al, 1992;Rickard and Cowper, 1994;Pearce et al, 2006) and the predominant oxidation state of Fe in solution at elevated temperatures and a range of salinities is likely to be +2 (e.g. Seyfried and Ding, 1993;Liu et al, 2002). Given this, and assuming the proposed complexes of Cu in solution noted above, the likely equilibria that govern the solubility of chalcopyrite in fluid inclusions are: …”
Section: Discussionmentioning
confidence: 99%
“…Applications of MINQ5 to bound constrained quadratic programs include the calculation of the formation constants for copper(I)-chloride complexes [19], subpixel land cover mapping [3], an optimal control model of redundant muscles in step-tracking wrist movements [10], entropy estimation for high-dimensional finite-accuracy data [16], finding the best code to represent a speech signal [23], the calculation of a nonnegative sparsity induced similarity measure for cluster analysis of spam images [7], a method for calibrating the scores of biased reviewers [22], a model for the braking behavior of industrial robots [2], and finding the filter coefficients for a filtering technique to denoise the far-field pattern in the presence of noise [21]. Moreover, many nonlinear optimization techniques are based on solving auxiliary quadratic problems [6,14,18,24,25].…”
Section: Introductionmentioning
confidence: 99%