| Literature DB >> 24274279 |
Takeshi Ogusu1, Katsuya Uchimoto, Masaki Takeuchi, Hideji Tanaka.
Abstract
Amplitude modulated multiplexed flow analysis (AMMFA) has been improved by introducing air segmentation and software-based phase recognition. Sample solutions, the flow rates of which are respectively varied at different frequencies, are merged. Air is introduced to the merged liquid stream in order to limit the dispersion of analytes within each liquid segment separated by air bubbles. The stream is led to a detector with no physical deaeration. Air signals are distinguished from liquid signals through the analysis of detector output signals, and are suppressed down to the level of liquid signals. Resulting signals are smoothed based on moving average computation. Thus processed signals are analyzed by fast Fourier transform. The analytes in the samples are respectively determined from the amplitudes of the corresponding wave components obtained. The developed system has been applied to the simultaneous determinations of phosphate ions in water samples by a Malachite Green method. The linearity of the analytical curve (0.0-31.0 μmol dm(-3)) is good (r(2)>0.999) and the detection limit (3.3 σ) at the modulation period of 30s is 0.52 μmol dm(-3). Good recoveries around 100% have been obtained for phosphate ions spiked into real water samples.Entities:
Keywords: Air segmentation; Amplitude modulation; Determination of phosphate ion; Fast Fourier transform; Flow analysis; Malachite Green method
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Year: 2013 PMID: 24274279 DOI: 10.1016/j.talanta.2013.10.001
Source DB: PubMed Journal: Talanta ISSN: 0039-9140 Impact factor: 6.057