Multivariate Curve Resolution for Quantitative Analysis

This chapter starts describing the basics of Multivariate Curve Resolution, including the modus operandi, description of constraints and use for analysis of single data sets and multiset analysis. An exhaustive section is devoted to the use of MCR for quantitative purposes. In this last part, classical extraction of quantitative information in second-order calibration problems is described and adaptation of classical analytical strategies, such as standard addition or the use of internal standards is also reported. Additionally, the power of the correlation constraint, an internal calibration procedure within the ALS optimization is presented for first-order and second-order methods. Finally, a thorough explanation on validation, sources of error and figures of merit associated with calibration problems tackled with MCR closes this chapter.