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<p>This study quantitatively evaluated the relative contributions of solubility and the mass transfer coefficient to the extraction yield of paclitaxel from <i>Taxus chinensis</i>. As the extraction temperature increased from 25 to 45&#xa0;°C, paclitaxel solubility surged by 101.4%, while the yield and mass transfer coefficient showed significantly more modest increases of 18.4% and 16.8%, respectively. Regression analysis revealed that yield variations were more closely correlated with mass transfer coefficient than with solubility, indicating that extraction enhancement is primarily governed by facilitated mass transfer rather than solubility gains. A predictive model for the concentration of extracted paclitaxel was subsequently developed by regressing second-order kinetic parameters—equilibrium concentration and initial extraction rate—against solubility and mass transfer coefficient. The strong consistency between predicted and experimental values validated the model’s robustness. This research provides significant academic value by quantifying cell disruption effects through mass transfer coefficient and establishing a systematic framework for efficient paclitaxel recovery.</p>

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Correlation Between Mass Transfer Coefficient, Solubility, and Yield in Paclitaxel Extraction from Taxus chinensis

  • 期刊论文

  • 发表日期：

    2026年4月11日

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  • Ga-Eun Ju,
  • Min-Ju Yeon,
  • Jin-Hyun Kim

摘要

This study quantitatively evaluated the relative contributions of solubility and the mass transfer coefficient to the extraction yield of paclitaxel from Taxus chinensis. As the extraction temperature increased from 25 to 45 °C, paclitaxel solubility surged by 101.4%, while the yield and mass transfer coefficient showed significantly more modest increases of 18.4% and 16.8%, respectively. Regression analysis revealed that yield variations were more closely correlated with mass transfer coefficient than with solubility, indicating that extraction enhancement is primarily governed by facilitated mass transfer rather than solubility gains. A predictive model for the concentration of extracted paclitaxel was subsequently developed by regressing second-order kinetic parameters—equilibrium concentration and initial extraction rate—against solubility and mass transfer coefficient. The strong consistency between predicted and experimental values validated the model’s robustness. This research provides significant academic value by quantifying cell disruption effects through mass transfer coefficient and establishing a systematic framework for efficient paclitaxel recovery.