Litcius/Paper detail

Powerful Steroid-Based Chiral Selector for High-Throughput Enantiomeric Separation of α-Amino Acids Utilizing Ion Mobility–Mass Spectrometry

Yuling Li, Bowen Zhou, Keke Wang, Jing Zhang, Wenjian Sun, Li Zhang, Yinlong Guo

2021Analytical Chemistry34 citationsDOI

Abstract

Stereospecific recognition of amino acids (AAs) plays a crucial role in chiral biomarker-based diagnosis and prognosis. Separation of AA enantiomers is a long and tedious task due to the requirement of AA derivatization prior to the chromatographic or electrophoretic steps which are also time-consuming. Here, a mass-tagged chiral selector named [d0]/[d5]-estradiol-3-benzoate-17β-chloroformate ([d0]/[d5]-17β-EBC) with high reactivity and good enantiomeric resolution in regard to AAs was developed. After a quick and easy chemical derivatization step of AAs using 17β-EBC as the single chiral selector before ion mobility–mass spectrometry analysis, good enantiomer separation was achieved for 19 chiral proteinogenic AAs in a single analytical run (∼2 s). A linear calibration curve of enantiomeric excess was also established using [d0]/[d5]-17β-EBC. It was demonstrated to be capable of determining enantiomeric ratios down to 0.5% in the nanomolar range. 17β-EBC was successfully applied to investigate the absolute configuration of AAs among peptide drugs and detect trace levels of d-AAs in complex biological samples. These results indicated that [d0]/[d5]-17β-EBC may contribute to entail a valuable step forward in peptide drug quality control and discovering chiral disease biomarkers.

Topics & Concepts

ChemistryEnantiomerDerivatizationChromatographyCapillary electrophoresisMass spectrometryEnantiomeric excessChloroformateResolution (logic)Amino acidCombinatorial chemistryEnantioselective synthesisOrganic chemistryComputer scienceArtificial intelligenceCatalysisBiochemistryMass Spectrometry Techniques and ApplicationsAmino Acid Enzymes and MetabolismAnalytical Chemistry and Chromatography