Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 68,
  • Issue 2,
  • pp. 232-237
  • (2014)

Spectroscopic Study of Proflavine Adsorption on the Carbon Nanotube Surface

Not Accessible

Your library or personal account may give you access

Abstract

Despite the fact that non-covalent interactions between various aromatic compounds and carbon nanotubes are being extensively investigated now, there is still a lack of understanding about the nature of such interactions. The present paper sheds light on one of the possible mechanisms of interaction between the typical aromatic dye proflavine and the carbon nanotube surface, namely, π-stacking between aromatic rings of these compounds. To investigate such a complexation, a qualitative analysis was performed by means of ultraviolet visible, infrared, and nuclear magnetic resonance spectroscopy. The data obtained suggest that π-stacking brings the major contribution to the stabilization of the complex between proflavine and the carbon nanotube.

PDF Article
More Like This
Three-dimensional multi-walled carbon nanotube arrays coated by gold-sol as a surface-enhanced Raman scattering substrate

Jie Zhang, Tuo Fan, Xiaolei Zhang, Chunhong Lai, and Yong Zhu
Appl. Opt. 53(6) 1159-1165 (2014)

Terahertz conductivity engineering in surface decorated carbon nanotube films by gold nanoparticles

Debanjan Polley, Animesh Patra, Anjan Barman, and Rajib Kumar Mitra
Appl. Opt. 56(4) 1107-1112 (2017)

Surface plasmon polariton amplification in a single-walled carbon nanotube

A. S. Kadochkin, S. G. Moiseev, Y. S. Dadoenkova, V. V. Svetukhin, and I. O. Zolotovskii
Opt. Express 25(22) 27165-27171 (2017)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.