CP MAS Kinetics Study of Ionic Liquids Confined in Mesoporous Silica: Convergence of Non-Classical and Classical Spin Coupling Models


Цитировать

Полный текст

Открытый доступ Открытый доступ
Доступ закрыт Доступ предоставлен
Доступ закрыт Только для подписчиков

Аннотация

The high data point density measurements of 1H→11B cross-polarization (CP) kinetics upon magic-angle spinning (MAS) of [bmim][BF4] confined in mesoporous SBA-15 and MCM-41 were carried out. The complex shaped 11B CP MAS signals were observed in both silica and decomposed into two Lorentz components. This points towards the possibility of bimodal distribution of [bmim][BF4] in the studied confinements. The convergence of classical and non-classical spin coupling models was deduced processing CP kinetic curves. A good fit of the theoretical curves to the experimental data was achieved using both models without any non-random deviations between theory and experiment to appear. The convergence of spin coupling models was discussed in terms of relatively high mobility of BF4 anion respect to the cation and the dynamics of anions in pores. These factors delete the borders between spin clusters. The spin diffusion along the pore surfaces in MCM-41 is more than twice faster than in SBA-15.

Об авторах

Vytautas Klimavicius

Faculty of Physics, Vilnius University

Email: vytautas.balevicius@ff.vu.lt
Литва, Vilnius, 10222

Laurynas Dagys

Faculty of Physics, Vilnius University

Email: vytautas.balevicius@ff.vu.lt
Литва, Vilnius, 10222

Vladimir Chizhik

Faculty of Physics, St Petersburg State University

Email: vytautas.balevicius@ff.vu.lt
Россия, St Petersburg, 198504

Vytautas Balevicius

Faculty of Physics, Vilnius University

Автор, ответственный за переписку.
Email: vytautas.balevicius@ff.vu.lt
Литва, Vilnius, 10222

Дополнительные файлы

Доп. файлы
Действие
1. JATS XML

© Springer-Verlag GmbH Austria, 2017

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).