<p>This paper demonstrates the development and validation of UV-spectrophotometric method for simultaneous estimation of xanthohumol (XH) and metformin (MF) using absorption factor method. The combination of XH and MF can be used to treat type 2 diabetes mellitus (T2DM). The combination (XH and MF) analytical method reported in the present paper was novel and is reported for the first time. The method developed for quantification of XH and MF using absorption factor method and is validated according to International Council for Harmonization (ICH) Q2(R1) guidelines. The linear regression was found to be linear in the concentration range of 2–10&#xa0;µg/mL for both XH and MF with R<sup>2</sup> value 0.997 and 0.996 respectively. It is found to be robust and precise with %RSD value less than 2, indicating high reliability. Also found to be accurate with the percentage recovery of greater than 97.05%. The developed and validated method was successfully applied to NLCs formulation for estimating MF and XH in various studies such as preformulation studies (solubility), in-vitro drug release and determining percentage entrapment efficiency, demonstrating its sensitivity in detecting XH and MF. This makes it suitable for routine analysis and quality control in pharmaceutical applications.</p>

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Simultaneous estimation of metformin and xanthohumol in bulk and nanostructured lipid carriers via absorption factor UV-spectrophotometric approach: development and validation

  • Abhishek Panigrahi,
  • Vancha Harish,
  • Sharfuddin Mohd

摘要

This paper demonstrates the development and validation of UV-spectrophotometric method for simultaneous estimation of xanthohumol (XH) and metformin (MF) using absorption factor method. The combination of XH and MF can be used to treat type 2 diabetes mellitus (T2DM). The combination (XH and MF) analytical method reported in the present paper was novel and is reported for the first time. The method developed for quantification of XH and MF using absorption factor method and is validated according to International Council for Harmonization (ICH) Q2(R1) guidelines. The linear regression was found to be linear in the concentration range of 2–10 µg/mL for both XH and MF with R2 value 0.997 and 0.996 respectively. It is found to be robust and precise with %RSD value less than 2, indicating high reliability. Also found to be accurate with the percentage recovery of greater than 97.05%. The developed and validated method was successfully applied to NLCs formulation for estimating MF and XH in various studies such as preformulation studies (solubility), in-vitro drug release and determining percentage entrapment efficiency, demonstrating its sensitivity in detecting XH and MF. This makes it suitable for routine analysis and quality control in pharmaceutical applications.