Expanding the Variety of Pyridinium‐Based Bis‐QACs with Antimicrobial Properties: Investigation into Linker Structure‐Activity Correlation
For decades quaternary ammonium compounds (QACs) have served as main component of a top antiseptic and disinfectant compositions. Among them, bis-QACs are the most prominent and effective class of biocides. Although mono-QACs still dominate the antiseptic market, their activity against Gram-negative bacteria is largely inferior to bis-QACs. Moreover, the new wave of bacterial resistance during the COVID-19 pandemic is threatening the efficiency of popular antiseptics. Therefore, the requirement for novel biocides is urgent. Reported here is a unified and simple two-step synthesis to achieve novel biocide's architectures with aromatic linkers. Thus, a series of 14 bis-QACs have been prepared using an Ullman-type reaction following by N-alkylation. The most prominent compounds showed strong bioactivity against a panel of nineteen microbial pathogens, multi-resistant bacterial ESKAPEE strains, fungi and biofilms, including strains, which acquired resistance during COVID-19 in 2021. Moreover, significant improvements in antibiofilm action were observed, where bis-QACs 5 c and 6 a outperformed gold standard pyridinium antiseptic octenidine. These findings will serve as a good basis for further studies of bis-QACs architectures as highly effective biocides.
Authors
- Elena V. Detusheva (ORCID: https://orcid.org/0000-0003-3478-6534)
- Mary A. Seferyan (ORCID: https://orcid.org/0000-0002-3608-6286)
- Nikita A. Frolov (ORCID: https://orcid.org/0000-0002-3626-7319)
- A. N. Vereshchagin (ORCID: https://orcid.org/0000-0001-8675-4943)
- Evgeniya A. Saverina (ORCID: https://orcid.org/0000-0002-0141-2379)
- Elizabeth Son
- Alexander A. Tyutin
- Alexandra N. Tyurina
Institutions
- Tula State University (RU)
- D. Mendeleyev University of Chemical Technology of Russia (RU)
- N.D. Zelinsky Institute of Organic Chemistry (RU)
- State Research Center for Applied Microbiology and Biotechnology (RU)
Publication Details
- Journal
- ChemMedChem
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1002/cmdc.202400972
- Citations
- 5
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 7.52