Congratulations to the SYNTHESIS and SYNLETT Best Paper Award Winners 2020!

Motomu Kanai and Kounosuke Oisaki for SYNTHESIS and Philip Kraft, Quanrui Wang and Sereina Riniker for SYNLETT, together with their co-authors, are the recipients of the 2020 Best Paper Awards.

It is our great pleasure to announce that the SYNTHESIS Best Paper Award 2020 is being awarded to Motomu Kanai, Kounosuke Oisaki and co-worker at The University of Tokyo (Japan) for their paper A Bond-Weakening Borinate Catalyst that Improves the Scope of the Photoredox α-C–H Alkylation of Alcohols.

 

In announcing the award, Paul Knochel, Editor-in-Chief of SYNTHESIS, mentioned that the selection committee was impressed by the comprehensive study, including the history, optimizations, scope and limitations, of this conceptually new approach. This catchy C–H activation by the addition of a bond-weakening catalyst is expected to be used extensively by the synthetic community.

  •  

We are delighted to announce that the SYNLETT Best Paper Award 2020 is being awarded to Philip Kraft, Quanrui Wang, Sereina Riniker and co-workers for their article A New Family of Rigid Dienone Musks Challenges the Perceptive Range of the Human Olfactory Receptor OR5AN1. The work was a joint effort between both industrial and academic laboratories in Switzerland (Givaudan Fragrances S&T,  ETH Zurich) and in P. R. of China [Givaudan Fragrances (Shanghai) Ltd, Fudan University]. 

 

Benjamin List, Editor-in-Chief of SYNLETT, stated: “This paper describes the design and discovery of new musk odorants. These targets are accessed using equally elegant and practical chemical synthesis methods. Moreover, the paper also contains a careful QM/MM study to investigate binding of the designer scents to a human musk receptor. Overall, this is truly beautiful work encompassing scent design and evaluation, an impressive synthetic approach, and a thorough computational study.” 

  •  
Submit your Manuscript to SYNLETT
Submit your Manuscript to SYNTHESIS

Contact

Dr. Selena Boothroyd Scientific Editor Send e-mail

Cookie-Einstellungen