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Quality by Design (QbD) Based Method for Estimation of Xanthohumol in Bulk and Solid Lipid Nanoparticles and Validation

  • Vancha Harish
  • , Waleed Hassan Almalki
  • , Ahmed Alshehri
  • , Abdulaziz Alzahrani
  • , Madan Mohan Gupta
  • , Sami I. Alzarea
  • , Imran Kazmi
  • , Monica Gulati
  • , Devesh Tewari
  • , Gaurav Gupta
  • , Kamal Dua
  • , Sachin Kumar Singh
  • Lovely Professional University
  • Umm Al-Qura University
  • Imam Abdulrahman Bin Faisal University
  • Al Baha University
  • Faculty of Medical Sciences
  • Al Jouf University
  • Faculty of Sciences, King Abdulaziz University
  • University of Technology Sydney
  • Delhi Pharmaceutical Sciences and Research University
  • Suresh Gyan Vihar University
  • Saveetha Institute of Medical and Technical Sciences (Deemed to be University)
  • Uttaranchal University

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

The analytical quality by design (AQbD) approach is utilized for developing and validating the simple, sensitive, cost-effective reverse-phase high performance liquid chromatographic method for the estimation of xanthohumol (XH) in bulk and nanoformulations. The Box–Behnken design (BBD) is applied for method optimization. The mobile phase ratio, pH and flow rate were selected as independent variables, whereas retention time, peak area, peak height, tailing factor, and theoretical plates were selected as dependent variables. The chromatogram of XH obtained under optimized conditions has given optimum conditions such as retention time (5.392 min), peak area (1,226,737 mAU), peak height (90,121 AU), tailing factor (0.991) and theoretical plates (4446.667), which are contoured in the predicted values shown by BBD. Validation of the method has been performed according to ICH Q2(R1) recommendations, using optimized conditions for linearity, limit of detection (LOD) and limit of quantification (LOQ), accuracy, precision, robustness and system suitability. All the values of validation parameters lie within the acceptable limits prescribed by ICH. Therefore, the developed and validated method of XH by the AQbD approach can be applied for the estimation of XH in bulk and various nanoformulations.

Original languageEnglish
Article number472
JournalMolecules
Volume28
Issue number2
DOIs
StatePublished - Jan 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • AQbD
  • BBD
  • RP-HPLC
  • anticancer
  • beer
  • humulus
  • validation

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