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ID 116934
タイトル別表記
Noise Reduction Using Fourier Analysis in Microsoft Excel : Improvement of the Signal-to-Noise Ratio in Flow Injection Analysis
著者
七條, まりあ 徳島大学
キーワード
noise reduction
S/N
FIA
nitrite
Griess reaction
fast Fourier transform
Microsoft Excel
資料タイプ
学術雑誌論文
抄録
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.
掲載誌名
分析化学
ISSN
05251931
cat書誌ID
AN00222633
出版者
日本分析化学会
71
4-5
開始ページ
283
終了ページ
287
発行日
2022-04-05
EDB ID
出版社版DOI
出版社版URL
フルテキストファイル
言語
jpn
著者版フラグ
出版社版
部局
薬学系