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Related Experiment Video

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Basics of Multivariate Analysis in Neuroimaging Data

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Published on: July 24, 2010

A novel second-order standard addition analytical method based on data processing with multidimensional partial

Valeria A Lozano¹, Gabriela A Ibañez, Alejandro C Olivieri

¹Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario and Instituto de Química Rosario (IQUIR-CONICET), Suipacha 531, Rosario S2002LRK, Argentina.

Analytica Chimica Acta

|September 29, 2009

Summary

This study introduces a modified second-order standard addition method for accurate analyte quantitation, even with complex background signals. The novel approach enhances multivariate calibration techniques, improving analytical results in serum analysis.

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Area of Science:

Analytical Chemistry
Chemometrics
Spectroscopy

Background:

Analyte quantitation is challenging with background signals and analyte-background interactions.
Second-order multivariate calibration and standard addition are crucial for achieving the second-order advantage.
Existing methods require careful optimization for complex matrices.

Purpose of the Study:

To present a modified second-order standard addition method for improved analyte quantitation.
To demonstrate the applicability of this method with various multivariate calibration techniques.
To evaluate the method's performance using simulated and experimental data.

Main Methods:

A modified second-order standard addition method involving subtraction of test data from standard addition matrices.
Application of parallel factor analysis (PARAFAC), multivariate curve resolution-alternating least-squares (MCR-ALS), and partial least-squares coupled to residual bilinearization (PLS/RBL).
Evaluation using simulated data and experimental datasets for salicylate and danofloxacin in human serum.

Main Results:

The modified method allows the use of PARAFAC, MCR-ALS, and PLS/RBL for quantitation.
The multidimensional N-PLS/RBL variant demonstrated superior analytical performance.
Accurate determination of salicylate and danofloxacin in human serum was achieved despite interferents.

Conclusions:

The novel data processing method effectively handles analyte-background interactions and background signals.
This approach enhances the flexibility and accuracy of second-order calibration methods.
The modified second-order standard addition is a robust technique for complex analytical challenges in serum analysis.