Multivariate standard addition for the analysis of overlapping voltammetric signals in the presence of matrix effects: Application to the simultaneous determination of hydroquinone and catechol

• Published in: Chemometrics and intelligent laboratory systems 2018-07, Vol.178, p.32-38
• Main Authors: Martínez, Kassandra, Ariño, Cristina, Díaz-Cruz, José Manuel, Serrano, Núria, Esteban, Miquel
• Format: Article
• Language: English
• Subjects: Catechol; Chemometrics; Hydroquinone; Matrix effects; Multivariate standard addition; Partial least squares (PLS) calibration; Quimiometria; Voltametria; Voltammetry
• ISSN: 0169-7439; 1873-3239
• DOI: 10.1016/j.chemolab.2018.05.002

A multivariate version of the classical univariate standard addition method is tested as a proof of concept for the voltammetric analysis of complex samples generating overlapped signals in the presence of significant matrix effects. The proposed strategy applies a multivariate calibration method such as partial least squares (PLS) to the full voltammograms measured for the sample alone and after combined additions of a series of standard solutions (one for every analyte). Then, a calibration model is built and further applied to the prediction of the concentration added to a blank, i.e., a full voltammetric signal measured in the absence of analytes. The absolute value of such predicted concentration is taken as the concentration of the analyte in the sample. The method has been successfully tested in different natural water samples spiked with hydroquinone and catechol and appears to be a promising tool for the analysis of overlapped signals in complex matrices. [Display omitted] •A multivariate standard addition method is proposed for overlapping voltammetric signals in the presence of matrix effects.•It extends to multiple signals a previous idea consisting on PLS extrapolation to the blank for a single signal.•It has been successfully tested with synthetic and natural water samples spiked with hydroquinone and catechol.