The determination of the contents of therapeutic drugs, metabolites and other important biomedical analytes in biological samples is usually performed by using high-performance liquid chromatography (HPLC). Modern multivariate calibration methods constitute an attractive alternative, even when they are applied to intrinsically unselective spectroscopic or electrochemical signals. First-order (i.e., vectorized) data are conveniently analyzed with classical chemometric tools such as partial least-squares (PLS). Certain analytical problems require more sophisticated models, such as artificial neural networks (ANNs), which are especially able to cope with non-linearities in the data structure. Finally, models based on the acquisition and proces...
Quantitative bio-analytical techniques that enable parallel measurements of large numbers of biomole...
Figures of merit are numerical parameters, usually employed for comparing analytical methods in term...
A method using UV-Vis spectroscopy and multivariate tools for simultaneous determination of glucose ...
This report reviews recent literature on the application of multivariate calibration techniques to b...
This report reviews recent literature on the application of multivariate calibration techniques to b...
In the presence of analyte-background interactions and a significant background signal, both second-...
The use of machine learning for multivariate spectroscopic data analysis in applications related to ...
Multivariate calibration based on first-order data, for example, near infrared (NIR) spectra, is now...
Quantitative analytical works developed by processing second- and third-order chromatographic data a...
Recent research works on multi-way chromatographic data for analytical calibration, classification a...
The aim of this work is to present a tutorial on Multivariate Calibration, a tool which is nowadays ...
Multivariate science based calibration (SBC) has been applied to the resolution of overlapped peaks ...
The aim of this work is to present a tutorial on Multivariate Calibration, a tool which is nowadays ...
The aim of this work is to present a tutorial on Multivariate Calibration, a tool which is nowadays ...
This paper proposes a multiway calibration strategy implementing the modeling with MCR-ALS and U-PLS...
Quantitative bio-analytical techniques that enable parallel measurements of large numbers of biomole...
Figures of merit are numerical parameters, usually employed for comparing analytical methods in term...
A method using UV-Vis spectroscopy and multivariate tools for simultaneous determination of glucose ...
This report reviews recent literature on the application of multivariate calibration techniques to b...
This report reviews recent literature on the application of multivariate calibration techniques to b...
In the presence of analyte-background interactions and a significant background signal, both second-...
The use of machine learning for multivariate spectroscopic data analysis in applications related to ...
Multivariate calibration based on first-order data, for example, near infrared (NIR) spectra, is now...
Quantitative analytical works developed by processing second- and third-order chromatographic data a...
Recent research works on multi-way chromatographic data for analytical calibration, classification a...
The aim of this work is to present a tutorial on Multivariate Calibration, a tool which is nowadays ...
Multivariate science based calibration (SBC) has been applied to the resolution of overlapped peaks ...
The aim of this work is to present a tutorial on Multivariate Calibration, a tool which is nowadays ...
The aim of this work is to present a tutorial on Multivariate Calibration, a tool which is nowadays ...
This paper proposes a multiway calibration strategy implementing the modeling with MCR-ALS and U-PLS...
Quantitative bio-analytical techniques that enable parallel measurements of large numbers of biomole...
Figures of merit are numerical parameters, usually employed for comparing analytical methods in term...
A method using UV-Vis spectroscopy and multivariate tools for simultaneous determination of glucose ...