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Multi-channel dilution analysis.
- Source :
-
JAAS (Journal of Analytical Atomic Spectrometry) . Sep2024, Vol. 39 Issue 9, p2220-2229. 10p. - Publication Year :
- 2024
-
Abstract
- Multi-channel dilution analysis (MCDA) is a new calibration method that performs multiple dilutions of a standard solution as it makes its way from an autosampler to an analytical instrument. MCDA is based on the standard dilution analysis (SDA) method that combines the traditional standard additions and internal standardization calibration methods, correcting for both matrix interferences and fluctuations in signal levels associated with variations in the sample environment. Analysts operate the instrument in the normal manner, as all dilutions are performed automatically by splitting the sample stream entering the instrument into multiple channels of different tubing diameters and lengths. This setup results in a signal "stairstep" as portions of solution are measured at different points in time. A calibration curve is prepared from the plateau regions of the signal stairstep. MCDA has been exhibited using inductively coupled plasma optical emission spectrometry, which is a workhorse for the determination of trace metals in solution. However, MCDA is applicable for any analyte of interest in any sample type, as long as the selected measurement technique accepts samples as a flowing liquid stream. MCDA is applied to the analysis of three certified reference materials by inductively coupled plasma optical emission spectrometry (ICP-OES). Percent recoveries for a suite of analytes range from 87--106%, with relative standard deviations on the order of 1%. MCDA simplifies the analysis process, increasing sample throughput by significantly decreasing the time required for solution preparation. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02679477
- Volume :
- 39
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- JAAS (Journal of Analytical Atomic Spectrometry)
- Publication Type :
- Academic Journal
- Accession number :
- 179293642
- Full Text :
- https://doi.org/10.1039/d4ja00112e