Use of Ga for mass bias correction for the accurate determination of copper isotope ratio in the NIST SRM 3114 Cu standard and geological samples by MC-ICPMS

Hou, QingHua; Zhou, Lian; Gao, Shan; Zhang, Ting; Feng, Lanping; Yang, Lu

doi:10.1039/c4ja00488d

Cited by 70 publications

(96 citation statements)

References 43 publications

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“…In this study, we further modified and optimised the Ga chemical separation method proposed by Zhang et al (), wherein Ga was separated from the sample matrix using a sequential procedure involving anion and cation exchange chromatography with three columns. Instead of 7 mol l −1 HCl used by Zhang et al (), 8.5 mol l −1 HCl was used for sample loading and matrices elution in this study to achieve more efficient separation of Ga from matrix elements during the anionic exchange chromatography (Hou et al ). Furthermore, the two‐column cation exchange chromatographsy (AG 50W‐X8, 1.2 ml) was simplified to one column by use of twice the amount of resin (2.5 ml), which efficiently improved the column resolution and resolved the Ga and Fe elution profile.…”

Section: Resultsmentioning

confidence: 99%

“…Besides the residue elements present in sample solutions, the addition of dopant Cu may induce matrix effects during MC‐ICP‐MS measurement. Typically, the equivalent mass fraction of dopant and analyte was used for the C‐SSBIN model (Maréchal et al , Mason et al , Peel et al , Hou et al , Zhang et al ). However, the possible influence of the doping ratio has been rarely investigated.…”

Section: Resultsmentioning

confidence: 99%

“…Instrumental mass bias was corrected by using combined calibrator‐sample bracketing and internal normalisation (further referred to as C‐SSBIN). This method was first proposed by Maréchal et al () and has been successfully used for high precision isotope ratio measurements of Zn, Cu (Mason et al , Baxter et al , Peel et al , Hou et al ), Ga (Zhang et al ) and Sr (Yang et al ). The main advantage of this model is that short‐term fluctuations in the instrument mass bias during bracketing calibrators are corrected through the use of spiked Cu in both bracketing calibrators and samples (Yang et al , Zhang et al ).…”

Section: Methodsmentioning

confidence: 99%

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Determination of Gallium Isotopic Compositions in Reference Materials

Feng

Zhou

Liu

et al. 2019

Geostandard Geoanalytic Res

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The interest in the study of gallium (Ga) stable isotope fractionation in low‐ and high‐temperature environments has increased significantly in the last few years. However, a unified reference material (RM) is still lacking for the Ga isotope research community, which hinders interlaboratory comparison between different groups. Consequently, certification of Ga isotopic reference materials for interlaboratory comparison is of high priority. In this study, Ga isotope ratio data for ten geological RMs including silicates, shales and ferromanganese nodules, and two pure Ga RMs including NIST SRM 994 and NIST SRM 3119a reported by three different groups, were determined by MC‐ICP‐MS. Sample matrices of geological RMs were separated by a two‐column separation method with the use of AG MP‐1M and AG 50‐X8 resin, separately, and quantitative recoveries of > 99% Ga were obtained for all geological RMs. Instrumental mass bias was corrected by the combined calibrator‐sample bracketing and internal normalisation model. Validation of the proposed method was performed by analysing synthetic solutions. After normalisation of all available δ71Ga data of geological RMs to a single Ga RM, results obtained in our study are in agreement with previously reported results.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Determination of Gallium Isotopic Compositions in Reference Materials

Feng

Zhou

Liu

et al. 2019

Geostandard Geoanalytic Res

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“…The Cu isotope data for a sample are expressed as δ 65 Cu (‰) notation, with a comparison to the 65 Cu/ 63 Cu ratio of the Cu standard solution, calculated by the formula: δ 65 Cu = [( 65 Cu/ 63 Cu) sample /( 65 Cu/ 63 Cu) standard − 1] × 1000 where standard represents the international reference material NIST SRM 976 [6]. Recently, researchers have made efforts to improve the measurement precision, in different analytical aspects such as Cu separation from sample matrix [6,11,23,24], highly purified Cu standard development [10,13,27,28], and mass discrimination correction [10,29,30,31]. …”

Section: Analytical Methodologiesmentioning

confidence: 99%

Cu Isotopic Composition in Surface Environments and in Biological Systems: A Critical Review

Wang

Chen

Zhang

2017

IJERPH

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Copper (Cu) is a transition metal and an essential micronutrient for organisms, but also one of the most widespread toxic inorganic contaminants at very high content. The research on Cu isotopes has grown rapidly in the last decade. Hitherto, a large number of studies have been published on the theoretical fractionation mechanisms, experimental data and natural variations of Cu isotopes in variable environments and ecosystems. These studies reported a large variation of δ65Cu (−16.49 to +20.04‰) in terrestrial samples and showed that Cu isotopes could be fractionated by various biogeochemical processes to different extent. Several papers have previously reviewed the coupling of Cu and Zn isotope systematics, and we give here a tentative review of the recent publications only on Cu isotopesin variable surface repositories, animals and human beings, with a goal to attract much attention to research on Cu (and other metals) behaviors in the environment and biological systems.

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“…Moreover, column chromatography can reduce or eliminate possible polyatomic interference and doubly charged interference, such as 47 Ti 16 O + , 27 Al 36 Ar + , 23 Na 40 Ar + , 45 Sc 18 O + , 126 Te ++ , 126 Xe ++ on 63 Cu, and 49 Ti 16 O + , 25 Mg 40 Ar + , 130 Xe ++ , 130 Te ++ , 130 Ba ++ on 65 Cu. Previous studies have developed column chromatography with diverse cation-exchange resins, acids, and columns with a high Copper yield (>99%) (Maréchal et al, 1999 ; Maréchal and Albarède, 2002 ; Borrok et al, 2007 ; Liu et al, 2014 ; Zhu et al, 2015 ; Hou et al, 2016 ). Maréchal and Albarède ( 2002 ) indicated that the Cu isotope fractionation happened during column chromatography.…”

Section: Introductionmentioning

confidence: 99%

Copper Isotope Ratio Measurements of Cu-Dominated Minerals Without Column Chromatography Using MC-ICP-MS

Zhang

Bao

et al. 2020

Front. Chem.

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This study performed a series of comparable experiments (with or without column chromatography) to evaluate whether non-deviated Cu isotope ratios can be obtained directly by Nu Plasma II multi-collector inductively coupled plasma-mass spectrometry (MC-ICP-MS) using standard-sample bracketing with Ga as internal mass bias correction model (C-SSBIN) without column chromatography. Twelve Cu-dominated minerals (copper plate, native copper, chalcopyrite, bornite, chalcocite, digenite, covellite, tetrahedrite, azurite, malachite, atacamite, and cyanotrichite) displayed little drift in δ 65 Cu values compared with those of minerals with column chromatography, with δ 65 Cu without−with ranging from −0.04 to +0.02‰. This means that Cu isotope ratios in Cu-dominated minerals can be achieved without column chromatography, due to the simple matrix and the stability of the machine by using C-SSBIN mode. The acidity and internal standard concentration mismatch effects, as well as the matrix effect, were strictly assessed by Nu Plasma II MC-ICP-MS in a wet-plasma mode in the State Key Laboratory of Continental Dynamics (SKLCD). Finally, a long-term reproducibility of better than ±0.03‰ [n = 38, 2 standard deviations (2s)] were achieved by repeatedly measuring chalcopyrite without column chromatography over 4 months.

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Use of Ga for mass bias correction for the accurate determination of copper isotope ratio in the NIST SRM 3114 Cu standard and geological samples by MC-ICPMS

Cited by 70 publications

References 43 publications

Determination of Gallium Isotopic Compositions in Reference Materials

Determination of Gallium Isotopic Compositions in Reference Materials

Cu Isotopic Composition in Surface Environments and in Biological Systems: A Critical Review

Copper Isotope Ratio Measurements of Cu-Dominated Minerals Without Column Chromatography Using MC-ICP-MS

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