<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This comprehensive review delves into the extensive application of response surface methodology (RSM), a prominent mathematical and statistical technique, for modeling and optimizing the extraction of food-grade bioactive compounds from plant sources. The paper elucidates the optimization approach, covering experimental design, empirical models for response prediction, and the utilization of the desirability function for multiple response optimization. RSM provides a contemporary means to concurrently analyze and optimize various factors, presenting mathematical models for enhancing extraction processes efficiently. The review showcases RSM applications in traditional extraction techniques such as classical solvent extraction, Soxhlet extraction, and hydrodistillation, with a focus on factors like extraction time, temperature, ratio of plant material to solvent, and solvent concentration. The economic feasibility of RSM-optimized extraction processes is discussed, encompassing considerations of processing time, solvent consumption, and overall cost reduction. Critical aspects and challenges related to RSM implementation in extraction optimization are addressed, underscoring the significance of appropriate experimental design, model accuracy, and the incorporation of multiple responses for comprehensive optimization. The review concludes by emphasizing the pivotal role of RSM in guiding rational and efficient extraction processes for various valuable natural compounds from plant materials.</p>
</abstract>

This comprehensive review delves into the extensive application of response surface methodology (RSM), a prominent mathematical and statistical technique, for modeling and optimizing the extraction of food-grade bioactive compounds from plant sources. The paper elucidates the optimization approach, covering experimental design, empirical models for response prediction, and the utilization of the desirability function for multiple response optimization. RSM provides a contemporary means to concurrently analyze and optimize various factors, presenting mathematical models for enhancing extraction processes efficiently. The review showcases RSM applications in traditional extraction techniques such as classical solvent extraction, Soxhlet extraction, and hydrodistillation, with a focus on factors like extraction time, temperature, ratio of plant material to solvent, and solvent concentration. The economic feasibility of RSM-optimized extraction processes is discussed, encompassing considerations of processing time, solvent consumption, and overall cost reduction. Critical aspects and challenges related to RSM implementation in extraction optimization are addressed, underscoring the significance of appropriate experimental design, model accuracy, and the incorporation of multiple responses for comprehensive optimization. The review concludes by emphasizing the pivotal role of RSM in guiding rational and efficient extraction processes for various valuable natural compounds from plant materials.

Optimization of food-grade bioactive compound extraction from plant sources by response surface methodology approach: A comprehensive review

MASO INTERNATIONAL – JOURNAL OF FOOD SCIENCE AND TECHNOLOGY

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This comprehensive review delves into the extensive application of response surface methodology (RSM), a prominent mathematical and statistical technique, for...

Optimization of food-grade bioactive compound extraction from plant sources by response surface methodology approach: A comprehensive review

Published Online: Apr 29, 2024

Page range: 31 - 47

DOI: https://doi.org/10.2478/mjfst-2023-0004

Keywords
RSM, optimization, extraction, bioactive compounds

© 2023 Ivana Karabegoić et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Optimization of food-grade bioactive compound extraction from plant sources by response surface methodology approach: A comprehensive review

Published Online: Apr 29, 2024

Page range: 31 - 47

DOI: https://doi.org/10.2478/mjfst-2023-0004

KeywordsRSM, optimization, extraction, bioactive compounds

© 2023 Ivana Karabegoić et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
RSM, optimization, extraction, bioactive compounds