Methods of Analysis by the U.S. Geological Survey National Water Quality Laboratory - Determination of Elements in Whole-Water Digests Using Inductively Coupled Plasma-Optical Emission Spectrometry and Inductively Coupled Plasma-Mass Spectrometry
Open-File Report
98-165
By: John R. Garbarino and Tedmund M. Struzeski
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Abstract
Inductively coupled plasma-optical emission spectrometry (ICP-OES) and inductively coupled plasma-mass spectrometry (ICP-MS) can be used to determine 26 elements in whole-water digests. Both methods have distinct advantages and disadvantages--ICP-OES is capable of analyzing samples with higher elemental concentrations without dilution, however, ICP-MS is more sensitive and capable of determining much lower elemental concentrations. Both techniques gave accurate results for spike recoveries, digested standard reference-water samples, and whole-water digests. Average spike recoveries in whole-water digests were 100 plus/minus 10 percent, although recoveries for digests with high dissolved-solid concentrations were lower for selected elements by ICP-MS. Results for standard reference-water samples were generally within 1 standard deviation of hte most probable values. Statistical analysis of the results from 43 whole-water digest indicated that there was no significant difference among ICP-OES, ICP-MS, and former official methods of analysis for 24 of the 26 elements evaluated.
| Publication type | Report |
|---|---|
| Publication Subtype | USGS Numbered Series |
| Title | Methods of analysis by the U.S. Geological Survey National Water Quality Laboratory - Determination of elements in whole-water digests using inductively coupled plasma-optical emission spectrometry and inductively coupled plasma-mass spectrometry |
| Series title | Open-File Report |
| Series number | 98-165 |
| DOI | 10.3133/ofr98165 |
| Edition | Revised Jul 2003 |
| Year Published | 1998 |
| Language | English |
| Publisher | U.S. Geological Survey |
| Contributing office(s) | National Water Quality Laboratory, U.S. Geological Survey |
| Description | xii, 101 p. |
| Google Analytic Metrics | Metrics page |