Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 63,
  • Issue 10,
  • pp. 1121-1127
  • (2009)

Investigation of Hydrogenation of Toluene to Methylcyclohexane in a Trickle Bed Reactor by Low-Field Nuclear Magnetic Resonance Spectroscopy

Not Accessible

Your library or personal account may give you access

Abstract

Low-field nuclear magnetic resonance (NMR) spectroscopy is applied to study the hydrogenation of toluene in a lab-scale reactor. A conventional benchtop NMR system was modified to achieve chemical shift resolution. After an off-line validity check of the approach, the reaction product is analyzed on-line during the process, applying chemometric data processing. The conversion of toluene to methylcyclohexane is compared with off-line gas chromatographic analysis. Both classic analytical and chemometric data processing was applied. As the results, which are obtained within a few tens of seconds, are equivalent within the experimental accuracy of both methods, low-field NMR spectroscopy was shown to provide an analytical tool for reaction characterization and immediate feedback.

PDF Article
More Like This
Nuclear magnetic resonance imaging

William P. Rothwell
Appl. Opt. 24(23) 3958-3968 (1985)

Hydrogen isotopic analysis of nuclear reactor materials using ultrafast laser-induced breakdown spectroscopy

E. J. Kautz, A. Devaraj, D. J. Senor, and S. S. Harilal
Opt. Express 29(4) 4936-4946 (2021)

Electro-mechano-optical detection of nuclear magnetic resonance

Kazuyuki Takeda, Kentaro Nagasaka, Atsushi Noguchi, Rekishu Yamazaki, Yasunobu Nakamura, Eiji Iwase, Jacob M. Taylor, and Koji Usami
Optica 5(2) 152-158 (2018)

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.