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ID 116934
Title Alternative
Noise Reduction Using Fourier Analysis in Microsoft Excel : Improvement of the Signal-to-Noise Ratio in Flow Injection Analysis
Author
Shichijo, Maria Tokushima University
Keywords
noise reduction
S/N
FIA
nitrite
Griess reaction
fast Fourier transform
Microsoft Excel
Content Type
Journal Article
Description
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.
Journal Title
BUNSEKI KAGAKU
ISSN
05251931
NCID
AN00222633
Publisher
日本分析化学会
Volume
71
Issue
4-5
Start Page
283
End Page
287
Published Date
2022-04-05
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
jpn
TextVersion
Publisher
departments
Pharmaceutical Sciences