Literature DB >> 23666256

Quantification and structural elucidation of potential impurities in agomelatine active pharmaceutical ingredient.

Yaxuan Liu1, Lei Chen, Yibing Ji.   

Abstract

Seven impurities in agomelatine drug substance were determined by a newly developed RP-HPLC method. Structures of potential impurities were confirmed by NMR and IR analysis. Efficient chromatographic separation was achieved on Hypersil BDS C18 column (250 mm × 4.6 mm, 5 μm) in gradient mode by using a binary mixture of potassium dihydrogen phosphate (15 mM, pH adjusted to 3.0) and acetonitrile at a flow rate of 1.0 ml/min. A photodiode array detector set at 230 nm was used for detection. Forced degradation studies showed that the proposed method was specific, and agomelatine was found to be susceptible to acidic and alkaline conditions. The method was validated according to ICH guidelines with respect to specificity, sensitivity, precision, linearity, accuracy, robustness and system suitability. Detection limit of impurities was in the range of 0.0008-0.0047%. Regression analysis showed correlation coefficient value greater than 0.999 for agomelatine and its seven impurities. Accuracy of the method was established based on the recovery obtained between 94.4% and 106.7% for all impurities. The validation results demonstrated that the developed method was suitable for the quantitative determination of potential impurities in agomelatine. A possible mechanism for the formation of impurities was proposed.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23666256     DOI: 10.1016/j.jpba.2013.04.016

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


  4 in total

1.  Bioactive Neolignans and Other Compounds from Magnolia grandiflora L.: Isolation and Antiplasmodial Activity.

Authors:  Abdul Latif; Yongle Du; Seema R Dalal; Maria L Fernández-Murga; Emilio F Merino; Maria B Cassera; Michael Goetz; David G I Kingston
Journal:  Chem Biodivers       Date:  2017-09-02       Impact factor: 2.408

2.  Comparison between Two Linear Supervised Learning Machines' Methods with Principle Component Based Methods for the Spectrofluorimetric Determination of Agomelatine and Its Degradants.

Authors:  Mahmoud M Elkhoudary; Ibrahim A Naguib; Randa A Abdel Salam; Ghada M Hadad
Journal:  J Fluoresc       Date:  2017-03-01       Impact factor: 2.217

3.  Low-Frequency versus High-Frequency Ultrasound-Mediated Transdermal Delivery of Agomelatine-Loaded Invasomes: Development, Optimization and in-vivo Pharmacokinetic Assessment.

Authors:  Mai Ahmed Tawfik; Mina Ibrahim Tadros; Magdy Ibrahim Mohamed; Sara Nageeb El-Helaly
Journal:  Int J Nanomedicine       Date:  2020-11-12

4.  Transdermal agomelatine microemulsion gel: pyramidal screening, statistical optimization and in vivo bioavailability.

Authors:  Mayada Said; Ibrahim Elsayed; Ahmed A Aboelwafa; Ahmed H Elshafeey
Journal:  Drug Deliv       Date:  2017-11       Impact factor: 6.419

  4 in total

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