WinMLR, a software program for the simultaneous determination of several components in mixtures using multilinear...

Area of Science:

• Analytical Chemistry
• Chemometrics

Background:

• Accurate quantification of multicomponent mixtures is crucial in various scientific fields.
• Existing methods may lack flexibility or require complex data handling.

Purpose of the Study:

• To introduce WinMLR, a software tool for quantifying mixtures using multilinear regression.
• To provide a flexible and user-friendly approach for analyzing experimental data from multichannel detectors.

Main Methods:

• Utilizes multilinear regression (MLR) for data analysis.
• Accepts experimental data from multichannel detectors with more channels than components.
• Supports three calibration methods: single standard, multiple standards, and multiple standard addition.
• Requires data in ASCII files with separated X and Y columns.

Main Results:

• WinMLR enables the resolution of mixtures by treating experimental data as a linear combination of standard signals.
• The program accommodates various calibration strategies, enhancing its applicability.
• Offers both weighted and unweighted regression options for mixture resolution post-calibration.

Conclusions:

• WinMLR provides an effective computational tool for the quantitative analysis of complex mixtures.
• The software's flexibility in calibration methods makes it adaptable to diverse analytical scenarios.
• WinMLR facilitates accurate component quantification through robust chemometric analysis.