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In relation to this article, we declare that there is no conflict of interest.
Publication history
Received February 1, 2026
Revised March 16, 2026
Accepted March 26, 2026
Available online July 25, 2026
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Latest issues

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

Department of Chemical Engineering, Center for Future Sustainable Technology, Kongju National University,
jinhyun@kongju.ac.kr
Korean Journal of Chemical Engineering, July 2026, 43(9), 2523-2535(13)
https://doi.org/10.1007/s11814-026-00711-5

Abstract

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.

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