Sciact
  • EN
  • RU

Building bio-Profiles for common catalytic reactions Научная публикация

Журнал Green Chemistry
ISSN: 1463-9262 , E-ISSN: 1463-9270
Вых. Данные Год: 2021, Том: 23, Номер: 17, Страницы: 6373-6391 Страниц : 19 DOI: 10.1039/d1gc00207d
Авторы Egorova Ksenia S. 1 , Galushko Alexey S. 1 , Dzhemileva Lilya U. 1 , D′yakonov Vladimir A. 1 , Ananikov Valentine P. 1
Организации
1 N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Leninsky prospect 47, Moscow, Russia 119991

Реферат: In this work, we present a powerful approach for fast assessment of the potential biological impact of chemical processes on living organisms. This approach includes building bio-Profiles based on cytotoxicity data and calculating bio-Factors for chemical reactions. Bio-Profiles allow visual determination of substances with the highest and the lowest contributions to the “overall cytotoxicity” of a given chemical process, whereas bio-Factors indicate the quantitative change in the “overall cytotoxicity” during the process. This information provides the necessary initial description of the plausible biological impact of a given chemical reaction and can be used for subsequent optimization of the process from the viewpoint of toxicity of its components. To illustrate the proposed concept, measurements of biological activity were carried out for ca. thirty compounds in two cell lines and bio-Profiles were constructed for four practically relevant catalytic reactions (Suzuki cross-coupling, oxidative C–C coupling, the Friedel–Crafts reaction, and the Heck reaction). In addition, practical application of bio-Profiles was illustrated by the example of the Suzuki reaction and it showed the largest influence of aryl halides (X = Cl, Br, I), a modest influence of solvents and a small contribution of the catalyst to the overall toxicity profile.
Библиографическая ссылка: Egorova K.S. , Galushko A.S. , Dzhemileva L.U. , D′yakonov V.A. , Ananikov V.P.
Building bio-Profiles for common catalytic reactions
Green Chemistry. 2021. V.23. N17. P.6373-6391. DOI: 10.1039/d1gc00207d WOS Scopus OpenAlex
Идентификаторы БД:
Web of science: WOS:000684330700001
Scopus: 2-s2.0-85114367873
OpenAlex: W3195167772
Цитирование в БД:
БД Цитирований
OpenAlex 18
Scopus 17
Web of science 16
Альметрики: