Automated statistical experimental design approach for rapid separation of coenzyme Q10 and identification of its biotechnological process related impurities using UHPLC and UHPLC-APCI-MS
A novel ultra high performance liquid chromatography method development strategy was ameliorated by applying quality by design approach. The developed systematic approach was divided into five steps (i) Analytical Target Profile, (ii) Critical Quality Attributes, (iii) Risk Assessments of Critical p...
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Published in | Journal of separation science Vol. 39; no. 18; pp. 3528 - 3535 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Germany
Blackwell Publishing Ltd
01.09.2016
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | A novel ultra high performance liquid chromatography method development strategy was ameliorated by applying quality by design approach. The developed systematic approach was divided into five steps (i) Analytical Target Profile, (ii) Critical Quality Attributes, (iii) Risk Assessments of Critical parameters using design of experiments (screening and optimization phases), (iv) Generation of design space, and (v) Process Capability Analysis (Cp) for robustness study using Monte Carlo simulation. The complete quality‐by‐design‐based method development was made automated and expedited by employing sub‐2 μm particles column with an ultra high performance liquid chromatography system. Successful chromatographic separation of the Coenzyme Q10 from its biotechnological process related impurities was achieved on a Waters Acquity phenyl hexyl (100 mm × 2.1 mm, 1.7 μm) column with gradient elution of 10 mM ammonium acetate buffer (pH 4.0) and a mixture of acetonitrile/2‐propanol (1:1) as the mobile phase. Through this study, fast and organized method development workflow was developed and robustness of the method was also demonstrated. The method was validated for specificity, linearity, accuracy, precision, and robustness in compliance to the International Conference on Harmonization, Q2 (R1) guidelines. The impurities were identified by atmospheric pressure chemical ionization‐mass spectrometry technique. Further, the in silico toxicity of impurities was analyzed using TOPKAT and DEREK software. |
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Bibliography: | ArticleID:JSSC5020 istex:C0389A0FCADEA3205A6DDE664EFAF8139C81EE1C ark:/67375/WNG-P70BFNWK-P ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1615-9306 1615-9314 |
DOI: | 10.1002/jssc.201501405 |