Noise Reduction Using Fourier Analysis in Microsoft Excel — Improvement of the Signal-to-Noise Ratio in Flow Injection Analysis —

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  • SHICHIJO Maria
    Faculty of Pharmaceutical Sciences, Tokushima University
  • TANAKA Hideji
    Faculty of Pharmaceutical Sciences, Tokushima University Graduate School of Biomedical Sciences, Tokushima University
  • TAKEUCHI Masaki
    Faculty of Pharmaceutical Sciences, Tokushima University Graduate School of Biomedical Sciences, Tokushima University

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Other Title
  • Microsoft Excelのフーリエ解析を用いるノイズ信号の軽減─フローインジェクション分析法におけるシグナルノイズ比の向上─
  • Microsoft Excelのフーリエ解析を用いるノイズ信号の軽減 : フローインジェクション分析法におけるシグナルノイズ比の向上
  • Microsoft Excel ノ フーリエ カイセキ オ モチイル ノイズ シンゴウ ノ ケイゲン : フローインジェクション ブンセキホウ ニ オケル シグナルノイズヒ ノ コウジョウ

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Abstract

<p>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.</p>

Journal

  • BUNSEKI KAGAKU

    BUNSEKI KAGAKU 71 (4.5), 283-287, 2022-04-05

    The Japan Society for Analytical Chemistry

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