Effect of mobile-phase modifiers on the enantioselective retention behavior of methyl mandelate with an amylose 3,5-dimethylphenylcarbamate chiral stationary phase under reversed-phase conditions.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of separation science"
DOI: 10.1002/jssc.202200651
Abstract: In this study, methanol, ethanol, n-propyl alcohol, isopropyl alcohol, acetone, and tert-butanol were used as organic modifiers in reversed-phase mode chiral liquid-chromatography to systematically investigate the effects of mobile phase components on the enantioselective retention… read more here.
Keywords: retention; reversed phase; retention behavior; phase ... See more keywords
Retention Behavior of Polyethylene Glycol and Its Influence on Protein Elution on Hydrophobic Interaction Chromatography Media
Sign Up to like & getrecommendations! Published in 2018 at "Chromatographia"
DOI: 10.1007/s10337-018-3635-9
Abstract: The retention behavior of polyethylene glycol (PEG) on different types of hydrophobic interaction chromatography (HIC) resins containing butyl, octyl, and phenyl ligands was analyzed. An incomplete elution or splitting of the polymer peak into two… read more here.
Keywords: protein; behavior polyethylene; hydrophobic interaction; retention behavior ... See more keywords
DFT prediction of chromatographic retention behavior for a trimetallic nitride metallofullerene series
Sign Up to like & getrecommendations! Published in 2017 at "Inorganica Chimica Acta"
DOI: 10.1016/j.ica.2017.04.033
Abstract: Abstract The high pressure liquid chromatography (HPLC) retention behavior of fullerenes and metallofullerenes provides a convenient system for studying the intermolecular interactions between conjugated spheroidal π systems and stationary chromatographic phases. Previous studies have established… read more here.
Keywords: retention behavior; chromatographic retention; trimetallic nitride; series ... See more keywords
Machine Learning for Predicting Environmental Mobility Based on Retention Behavior.
Sign Up to like & getrecommendations! Published in 2025 at "Environmental science & technology"
DOI: 10.1021/acs.est.5c07274
Abstract: Very persistent and very mobile (vPvM) substances threaten the environment and human health. These chemicals can persist in aquatic systems and move rapidly due to their affinity for water over soil or other adsorbents. Chemical… read more here.
Keywords: machine learning; retention behavior; environmental mobility; mobility ... See more keywords