Optimization of Extraction of Essential Oils using Response Surface Methodology: A Review

Conde-Hernández, Lilia A.; Botello-Ojeda, Anette Gisela; Alonso-Calderón, Alejandro Augusto; Osorio-Lama, María A.; Bernábe-Loranca, María Beatríz; Chávez, Edith Carrasco

doi:10.1080/0972060x.2021.1976286

Cited by 9 publications

(2 citation statements)

References 120 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since RSM was first proposed in 1951 by Box and Wilson [11], it has been widely applied successfully in different disciplines, including the separation of radioactive material [12], the extraction of essential oils [13], biological wastewater treatment processes [14], and energy applications [15], to name a few. The RSM consists of three steps: the design of experiments (DoE) to define the number of experiments required and the value of the independent and dependent variables, the determination of the factors that affect the variable of interest using ANOVA and RSM-based modeling, and the optimization of the variable of interest [16].…”

Section: Introductionmentioning

confidence: 99%

Response Surface Methodology for Copper Flotation Optimization in Saline Systems

et al. 2022

View full text Add to dashboard Cite

Response surface methodology (RSM) is one of the most effective tools for optimizing processes, and it has been used in conjunction with the Analysis of Variance (ANOVA) test to establish the effect of input factors on output factors. However, when this methodology is used in mineral flotation, its polynomial model usually performs poorly. An alternative is to use artificial neural networks (ANNs) in such situations. Within this context, the ANOVA test is not the best option for these model types; moreover, it requires statistical assumptions that are difficult to satisfy in flotation. This work proposes replacing the polynomial model of the RSM with ANNs and the Sobol methods to determine the influential input factors instead of the ANOVA test. This proposal is applied to two porphyry copper ores with a high content of pyrite, clay, and dilution media. In addition, this study shows how other computational intelligence techniques, such as swarm intelligence, can be incorporated into this type of problem to improve the learning process of ANNs. The results gave an adjustment of over 0.98 for R2 using ANNs, in comparison to values of around 0.5 when the polynomial model of RSM was utilized. On the other hand, the application of Global Sensitivity Analysis (GSA) identified the aeration rate and P80 size as the most influential variables in copper recovery under the conditions studied. Additionally, we identified significant interactions that affect the recovery of copper, with the interactions between the aeration rate, frother concentration, and P80 size being the most important.

show abstract

Section: Introductionmentioning

confidence: 99%

Response Surface Methodology for Copper Flotation Optimization in Saline Systems

et al. 2022

View full text Add to dashboard Cite

show abstract

“…It can not only rapidly screen a wide range of conditions but can also indicate the role of each factor ( 52 – 54 ). Recently, RSM was used to model the extraction process and effectively optimize parameters to maximize the recovery of bioactive compounds from plant materials ( 55 , 56 ).…”

Section: Introductionmentioning

confidence: 99%

Optimization of fucoxanthin extraction obtained from natural by-products from Undaria pinnatifida stem using supercritical CO2 extraction method

et al. 2022

View full text Add to dashboard Cite

In the recent years, edible brown seaweed, Undaria pinnatifida, has presented beneficial effects, which may be correlated with this species containing major bioactive compounds, such as carotenoids, fatty acids, and phytosterols. Marine carotenoid fucoxanthin is abundantly present in edible Undaria pinnatifida and features strong bioactive activities. The stem of Undaria pinnatifida is very hard to gnaw off and cannot be swallowed; therefore, it is usually discarded as waste, making it an environmental issue. Hence, making full use of the waste stem of Undaria pinnatifida is an urgent motivation. The present study aims to explore the optimal preparation technology of fucoxanthin from Undaria pinnatifida stems using supercritical carbon dioxide methods and provides approaches for the extraction and preparation of bioactive compounds from a waste seaweed part. With the comprehensive optimization conditions applied in this study, the experimental yield of fucoxanthin agreed closely with the predicted value by > 99.3%. The potential of α-amylase and glucoamylase to inhibit bioactive compounds was evaluated. The results demonstrated that the inhibition activity (IC50 value) of α-amylase (0.1857 ± 0.0198 μg/ml) and glucoamylase (0.1577 ± 0.0186 μg/ml) varied with extraction conditions due to the different contents of bioactive components in the extract, especially fucoxanthin (22.09 ± 0.69 mg/g extract). Therefore, this study confirmed supercritical fluid extraction technology to be a useful sample preparation method, which can effectively be used to prepare fucoxanthin from waste marine resources. This method can potentially be applied in functional food and related industries.

show abstract

Enzyme-assisted extraction of essential oil from Cinnamomum longepaniculatum (Gamble) N. Chao ex H. W. Li and anxiolytic activity

Wang,

Zhang,

Zhang

et al. 2024

Chem. Pap.

View full text Add to dashboard Cite

Optimization of Extraction of Essential Oils using Response Surface Methodology: A Review

Cited by 9 publications

References 120 publications

Response Surface Methodology for Copper Flotation Optimization in Saline Systems

Response Surface Methodology for Copper Flotation Optimization in Saline Systems

Optimization of fucoxanthin extraction obtained from natural by-products from Undaria pinnatifida stem using supercritical CO2 extraction method

Enzyme-assisted extraction of essential oil from Cinnamomum longepaniculatum (Gamble) N. Chao ex H. W. Li and anxiolytic activity

Contact Info

Product

Resources

About