Background correction for fluorescence detection in thin-layer chromatography using factor analysis and the adaptive Kalman filter
A method is proposed that corrects for variable background signals. This technique has been applied to the analysis of polyaromatic hydrocarbons using high-performance thin-layer chromatography with fluorescence detection. The fluorescent background from thin-layer plates was found to be highly variable, and simple background subtraction yielded imprecise and inaccurate concentration estimates. The method proposed here is based on the assumption that variable background signals can be modeled by the abstract spectra obtained from factor analysis of several background spectra, and the appropriate weighting factors can then be calculated by using the adaptive Kalman filter. It was found that the best models were obtained by selecting spectra from random locations across the thin-layer plate, as opposed to spectra from a blank lane or spectra adjacent to the analyte zone. This approach gave concentration estimates with improved accuracy and precision, in most cases, when compared to simple subtraction.
- Research Organization:
- Virginia Commonwealth Univ., Richmond (USA)
- OSTI ID:
- 7144131
- Journal Information:
- Anal. Chem.; (United States), Vol. 60:9
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
ORGANIC
PHYSICAL AND ANALYTICAL CHEMISTRY
POLYCYCLIC AROMATIC HYDROCARBONS
FLUORESCENCE SPECTROSCOPY
THIN-LAYER CHROMATOGRAPHY
ACCURACY
DIGITAL FILTERS
EXPERIMENTAL DATA
QUANTITATIVE CHEMICAL ANALYSIS
SIGNAL-TO-NOISE RATIO
TRACE AMOUNTS
AROMATICS
CHEMICAL ANALYSIS
CHROMATOGRAPHY
DATA
EMISSION SPECTROSCOPY
HYDROCARBONS
INFORMATION
NUMERICAL DATA
ORGANIC COMPOUNDS
SEPARATION PROCESSES
SPECTROSCOPY
400102* - Chemical & Spectral Procedures
400105 - Separation Procedures