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Chromatographic Applications in the Multi-Way Calibration Field
Fabricio A Chiappini1,2, Mirta R Alcaraz1,2, Graciela M Escandar2,3
1Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, Santa Fe S3000ZAA, Argentina.
This review covers advances in multi-way calibration for multidimensional chromatography. It details data processing, models, and algorithms for accurate analyte quantitation, even with interferences, leveraging the second-order advantage.
Area of Science:
- Analytical Chemistry
- Chromatography
- Chemometrics
Background:
- Multi-way calibration protocols are essential for processing complex multidimensional chromatographic data.
- Understanding data generation modes and characteristics is crucial for selecting appropriate processing models.
Purpose of the Study:
- To review recent advances and applications of multi-way calibration in chromatography.
- To discuss data arrangement, models, and algorithms for multi-way chromatographic data decomposition.
- To highlight the achievement of the second-order advantage for analyte quantitation.
Main Methods:
- Discussion of various modes for generating multi-way chromatographic data sets.
- Explanation of data arrangement techniques for instrumental data.
- Overview of commonly applied models and algorithms for data array decomposition.
Main Results:
- Estimation of surrogate variables (scores) for analyte quantitation.
- Demonstration of analyte quantitation in the presence of uncalibrated interferences.
- Review of recent experimental reports utilizing multi-way liquid and gas chromatography.
Conclusions:
- Multi-way calibration offers significant advantages for chromatographic data analysis.
- Proper selection of data processing models and algorithms is key to achieving the second-order advantage.
- Standardized reporting of analytical figures of merit is essential for quantitative calibration.
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