Dissecting the Essential Role of Anomeric β-Triflates in Glycosylation Reactions

Glycosylations promoted by triflate-generating reagents are widespread synthetic methods for the construction of glycosidic scaffolds and glycoconjugates of biological and chemical interest. These processes are thought to proceed with the participation of a plethora of activated high energy intermediates such as the α- and β-glycosyl triflates, or even increasingly unstable glycosyl oxocarbenium-like species, among which only α-glycosyl triflates have been well characterized under representative reaction conditions. Interestingly, the remaining less accessible intermediates, yet to be experimentally described, seem to be particularly relevant in α-selective processes, involving weak acceptors. Herein, we report a detailed analysis of several paradigmatic and illustrative examples of such reactions, employing a combination of chemical, NMR, kinetic and theoretical approaches, culminating in the unprecedented detection and quantification of the true β-glycosyl triflate intermediates within activated donor mixtures. This achievement was further employed as a stepping-stone for the characterization of the triflate anomerization dynamics, which along with the acceptor substitutions, govern the stereochemical outcome of the reaction. The obtained data conclusively show that, even for highly dissociative reactions involving β-close ion pair (β-CIP) species, the formation of the α-glycoside is necessarily preceded by a bimolecular α → β triflate interconversion, which under certain circumstances becomes the rate-limiting step. Overall, our results rule out the prevalence of the Curtin-Hammett fast-exchange assumption for most glycosylations and highlight the distinct reactivity properties of α- and β-glycosyl triflates against neutral and anionic acceptors.A.G.S. would like to thank the EU commission for a MSCA-IF postdoctoral fellowship. L.M.-J and L.D.-C thank the Ministerio de Economía , Industria y Competitividad and the Ministerio de Ciencia, Innovación y Universidades the for their FPI fellowships (BES-2014-070232 and BES-2017-080618). This investigation was supported by research grants from the Spanish Ministry of Science and Innovation (CTQ2016−79255-P, PID2019−107476GB-I00, BFU2017−89707-P, RTI2018−094862-B-100, RTI2018−099592−B-C21, PID2019−104090RB-100, RTI2018−094751−B-C22, and RTI2018−099592−B-C22), the Mizutani Foundation forGlycoscience (200077 and 170045), the Aragon Government (Groups 17R-34) and the computational resources from BIFI-ZCAM (Universidad de Zaragoza, Spain)