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Multi-way chromatographic calibration-A review
Graciela M Escandar1, Alejandro C Olivieri1
1Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Instituto de Química de Rosario (IQUIR-CONICET), Suipacha 531, Rosario, S2002LRK, Argentina.
Journal of Chromatography. A
|January 18, 2019
Summary
This review covers advances in multi-way chromatographic calibration, focusing on chemometric processing of complex data. It highlights how data decomposition enables accurate quantitative analysis using the second-order advantage.
Area of Science:
- Analytical Chemistry
- Chemometrics
- Chromatography
Background:
- Multi-way chromatographic calibration involves complex data arrays from chromatographic and spectroscopic techniques.
- Traditional methods struggle with the complexity of multi-way data.
- Chemometric processing offers advanced solutions for analyzing multi-way data.
Purpose of the Study:
- To review recent theoretical and experimental advancements in multi-way chromatographic calibration.
- To emphasize the application of chemometric techniques for processing multi-way data.
- To illustrate the quantitative analysis of complex samples using multi-way data decomposition.
Main Methods:
- Focus on chemometric processing of multi-way data arrays.
- Utilizing spectroscopic data (UV-vis, fluorescence, mass spectrometry) alongside chromatographic elution times.
- Employing multi-way data decomposition techniques.
Main Results:
- Successful decomposition of multi-way data into component profiles.
- Enabling quantitative analysis of complex samples.
- Leveraging the second-order advantage inherent in multi-way data processing.
Conclusions:
- Multi-way chromatographic calibration, powered by chemometrics, offers robust quantitative analysis.
- The second-order advantage simplifies complex data to a virtual univariate calibration.
- Recent experimental works demonstrate the practical utility of these advanced methods.
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