95
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Experimental design in the analysis of interferential effects for the determination of Sr in high Ca/Sr ratio brine by inductively coupled plasma atomic emission spectroscopy technique

, , , , &
Pages 291-301 | Received 27 Mar 2009, Accepted 26 Jun 2009, Published online: 22 Feb 2011
 

Abstract

The ICP-AES technique and experimental design were employed to precisely determine the content of strontium in high Ca/Sr ratio oil field brine of Qaidam basin (Qinghai province, western China). From the statistical analysis using six factor factorial, it was found that Ca2+ is the significant interfering element for the recovery of strontium. Accurate strontium content was derived by eliminating the interference contribution according to the influencing model. The experimental results indicate that, under optimal conditions, the ICP-AES method for strontium determination has low LOD and LOQ, and the precision and accuracy are good with the relatively standard deviation below 1% and recovery between 98.0% ∼ 105.0%.

Acknowledgement

Financial support came from the Hundreds of Talents Program of the Chinese Academy of Sciences (2005012), the National Natural Science Foundation of China (20872105, 40673022), the National Key Technology R&D Program in the 11th Five Year Plan of China (2006BAB09B07), and the Science Foundation of Qinghai Province, China (2006-G-105). They are gratefully acknowledged.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,223.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.