Literature DB >> 21087836

In-line reaction monitoring of entacapone synthesis by Raman spectroscopy and multivariate analysis.

Predrag Novak1, Andrea Kišić, Tomica Hrenar, Tomislav Jednačak, Snežana Miljanić, Gordana Verbanec.   

Abstract

In-line Raman spectroscopy and multivariate analysis were used to monitor Knoevenagel condensation reaction, the final step in preparation of drug entacapone. By applying a fiber optical Raman probe immersed into a reaction vessel Raman spectra of the reaction mixture were recorded in situ during the entacapone synthesis in toluene, heptane and isobutyl acetate. Due to the complexity of the measured spectra, the obtained data were analyzed and interpreted by means of principal component analysis. It has been shown that progress of this reaction can be monitored in real-time and reaction end points can be determined in different solvents. The reaction was found to be the fastest in heptane due to the lower loss of the catalyst. For a comparison the reaction was independently monitored by off-line Raman spectroscopy and liquid chromatography which confirmed the results obtained in-line. The results presented here have shown that this in-line approach can be used as a fast, non destructive and reliable method to monitor the Knoevenagel reaction in real time. The knowledge gained in this study can further be exploited for the industrial process control.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21087836     DOI: 10.1016/j.jpba.2010.10.012

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  2 in total

1.  Tractable synthesis of multipurpose screening compounds with under-represented molecular features for an open access screening platform.

Authors:  Felix Wilde; Edgar Specker; Martin Neuenschwander; Marc Nazaré; Anja Bodtke; Andreas Link
Journal:  Mol Divers       Date:  2014-04-01       Impact factor: 2.943

2.  Antimicrobial Activity of Quasi-Enantiomeric Cinchona Alkaloid Derivatives and Prediction Model Developed by Machine Learning.

Authors:  Alma Ramić; Mirjana Skočibušić; Renata Odžak; Ana Čipak Gašparović; Lidija Milković; Ana Mikelić; Karlo Sović; Ines Primožič; Tomica Hrenar
Journal:  Antibiotics (Basel)       Date:  2021-05-31
  2 in total

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