Understanding Carry-Over and Sample Interaction in Continuous Flow Analysis
Author Information
Author(s): Jia-Zhong Zhang
Primary Institution: Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine and Atmospheric Science/AOML, NOAA, University of Miami
Hypothesis
This study aims to quantify the contribution of intersample air segmentation in reducing carry-over, sample interaction, and sample dispersion.
Conclusion
The study confirms that intersample air segmentation significantly reduces carry-over and sample interaction in gas segmented continuous flow analysis.
Supporting Evidence
- Intersample air segmentation significantly reduces carry-over and sample interaction.
- Carry-over coefficients decreased with increasing cycle time.
- Normalized absorbances were found to be a function of sample time.
Takeaway
This study shows that using air bubbles between samples helps prevent mixing and keeps measurements accurate.
Methodology
The study used an Alpkem Flow Solution autoanalyser to measure coefficients for carry-over and sample interaction in dissolved silicate analysis, employing various schemes for quantification.
Limitations
The study's findings may not apply to systems without intersample air segmentation or those using different analytical methods.
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