Otsuka, Yuta Tokyo University of Science
Watanabe, Hiroki Tokushima University
partial least squares regression
We propose an approach for the simultaneous determination of multiple component (i.e., Na+ and NH4+) solutions based on open tubular ion chromatography (OTIC) coupled with chemometrics. The sample solutions containing Na+ and NH4+ (0 – 500 μM) were prepared at various concentration ratios. The samples were analyzed by OTIC within the time range of t = 0 – 18.0 min. The partial least squares (PLS) regression method was applied to the acquired chromatograms in order to predict ionic concentrations. The constructed PLS regression models were able to predict Na+ and NH4+ concentrations. The regression vectors of the Na+ and NH4+ prediction models yielded positive peaks at 11.8 min and 13.3 min, respectively. The determination coefficient between predicted and measured cation concentration were respectively 0.9187 for Na+ and 0.9314 for NH4+. The combination of the OTIC and PLS regression methods was useful for the determination of ionic concentrations under unresolved chromatogram peak conditions.
Journal of Flow Injection Analysis
Japanese Association for Flow Injection Analysis
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