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- W4282022702 abstract "In flow injection analysis (FIA), the baseline noise of the detection signal is an important parameter that determines the detection sensitivity. In this study, we applied the Fourier analysis/inverse Fourier analysis of Microsoft Excel to the detection signal of FIA to decrease the noise signal. The Fourier analysis of the detection signal for a sample of 0.06 mg L−1 NO2− showed many frequency components with amplitudes less than 0.04 mV. After removing these frequency components, inverse Fourier analysis was applied, and a smooth detection signal was obtained. Even with a sample of 2.50 mg L−1 NO2−, the noise signals were successfully removed using the Fourier/inverse Fourier analysis. The signal-to-noise ratio (S/N) of NO2− was improved by ca. 15 times. We concluded that removing noise signals by Fourier analysis effectively improves the S/N of FIA." @default.
- W4282022702 created "2022-06-13" @default.
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- W4282022702 date "2022-04-05" @default.
- W4282022702 modified "2023-09-25" @default.
- W4282022702 title "Noise Reduction Using Fourier Analysis in Microsoft Excel — Improvement of the Signal-to-Noise Ratio in Flow Injection Analysis —" @default.
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- W4282022702 doi "https://doi.org/10.2116/bunsekikagaku.71.283" @default.
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