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Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

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Towards properly controlled analytical measurement methods.

K M Hangos¹, L Leisztner

¹Computer and Automation Institute Hungarian Academy of Sciences P.O. Box 63 Budapest H-1502 Hungary.

The Journal of Automatic Chemistry

|January 1, 1989

Summary

A simple method to estimate the signal-to-noise ratio in gas chromatography was developed. This method, while slightly biased, reliably indicates analytical method quality for better results.

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Area of Science:

Analytical Chemistry
Chromatography
Metrology

Background:

Ensuring the controlled state of analytical methods is crucial for reliable results.
Identifying easily estimable parameters that reflect analytical quality is essential.
The signal-to-noise ratio is a key indicator in gas chromatographic methods.

Purpose of the Study:

To investigate the statistical properties of signal-to-noise ratio estimation in gas chromatography.
To develop a simple, practical method for automatic detection of the analytical method's controlled state.

Main Methods:

Statistical analysis of signal-to-noise ratio estimation from gas chromatographic data.
Development and validation of a practical method for real-time signal-to-noise ratio assessment.

Main Results:

The proposed practical method for signal-to-noise ratio estimation is mathematically biased, with bias typically under 10%.
The signal-to-noise ratio was demonstrated to significantly impact analytical result quality.
The developed method allows for easy estimation of signal-to-noise ratio from practical data.

Conclusions:

A practical and simple method for estimating signal-to-noise ratio in gas chromatography is feasible.
This method aids in the automatic detection of an analytical method's controlled state.
Monitoring signal-to-noise ratio improves the reliability and quality of analytical results.