Rational design of mixtures for chromatographic peak tracking applications via multivariate selectivity.

ABSTRACT: Chromatographic characterization and parameterization studies targeting many solutes require the judicious choice of operating conditions to minimize analysis time without compromising the accuracy of the results. To minimize analysis time, solutes are often grouped into a small number of mixtures; however, this increases the risk of peak overlap. While multivariate curve resolution methods are often able to resolve analyte signals based on their spectral qualities, these methods require that the chromatographically overlapped compounds have dissimilar spectra. In this work, a strategy for grouping compounds into sample mixtures containing solutes with distinct spectral and, optionally, with distinct chromatographic properties, in order to ensure successful solute resolution either chromat

SUBMITTER: Cook DW 

PROVIDER: S-EPMC7587020 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature