Estimation of low-level components lost through chromatographic separations with finite detection limits.

ABSTRACT: The search for biomarkers allowing the assessment of disease by early diagnosis is facilitated by liquid chromatography. However, it is not clear how many components are lost due to being present in concentrations below the detection limit and/or being obscured by chromatographic peak overlap. First, we extend the study of missing components undertaken by Enke and Nagels, who employed the log-normal probability density function (pdf) for the distribution of signal intensities (and concentrations) of three mixtures. The Weibull and exponential pdfs, which have a higher probability of small-concentration components than the log-normal pdf, are also investigated. Results show that assessments of the loss of low-intensity signals by curve fitting are ambiguous. Next, we simulate synthetic chro

SUBMITTER: Devitt NM 

PROVIDER: S-EPMC7748966 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature