Development and optimisation of a non conventional extraction process of natural dye from olive solid waste using response surface methodology (RSM)

Elksibi, Imen; Haddar, Wafa; Ticha, Manel Ben; Gharbi, Rafik; Mhenni, Mohamed Farouk

doi:10.1016/j.foodchem.2014.03.108

Cited by 67 publications

(36 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…They determined the results obtained at the optimal combination was in agreement with the theoretical result. Therefore, the model obtained in this research was confirmed [29].…”

Section: Validation Of the Modelsupporting

confidence: 71%

See 1 more Smart Citation

Utilization of Response Surface Methodology in Optimization of Extraction of Plant Materials

Aydar¹

2018

Statistical Approaches With Emphasis on Design of Experiments Applied to Chemical Processes

178

View full text Add to dashboard Cite

Experimental design plays an important role in several areas of science and industry. Experimentation is an application of treatments applied to experimental units and is then part of a scientific method based on the measurement of one or more responses. It is necessary to observe the process and the operation of the system well. For this reason, in order to obtain a final result, an experimenter must plan and design experiments and analyzes the results. One of the most commonly used experimental designs for optimization is the response surface methodology (RSM). Because it allows evaluating the effects of multiple factors and their interactions on one or more response variables it is a useful method. In this section, recent studies have been compiled which aim to extraction of plant material in high yield and quality and determine optimum conditions for this extraction process.

show abstract

“…They determined the results obtained at the optimal combination was in agreement with the theoretical result. Therefore, the model obtained in this research was confirmed [29].…”

Section: Validation Of the Modelsupporting

confidence: 71%

“…They studied the combined effects of extraction conditions on total phenolic content (TPC) and relative color strength (K/S) using a three-level three-factor Box-Behnken design [29].…”

Section: Phenolic and Antioxidant Compound Extraction From Plant Matementioning

confidence: 99%

Utilization of Response Surface Methodology in Optimization of Extraction of Plant Materials

Aydar¹

2018

Statistical Approaches With Emphasis on Design of Experiments Applied to Chemical Processes

178

View full text Add to dashboard Cite

show abstract

“…The closer the values of R 2 to unity, the better the empirical model fits the actual data (Elksibi et al . ). Thus, the prediction results of the model in this work were reasonable.…”

Section: Resultsmentioning

confidence: 97%

Optimization of Chlorella vulgaris and bioflocculant-producing bacteria co-culture: enhancing microalgae harvesting and lipid content

Wang

Yang

et al. 2015

Lett Appl Microbiol

View full text Add to dashboard Cite

This work optimized the co-culture conditions of microalgae (C. vulgaris) and bioflocculant-producing bacteria (F2, Rhizobium radiobacter) in synthetic wastewater using response surface methodology, aiming to enhance C. vulgaris harvesting and lipid produced content. Bioflocculant-producing microbes are environmentally friendly functional materials. They avoid the negative effects of traditional chemical flocculants. This work provided new insights into microalgae harvesting and cost-effective production of microalgal bioproducts, and confirmed the promising prospect of introducing bioflocculant-producing bacteria into microalgae bioenergy production.

show abstract

“…One major drawback of this type of optimization is that the interaction effects of the variables are not usually considered during the optimization process [22]. Hence, the one-variable-at-time technique does not capture the broad effects of the parameters on the responses [24]. Besides, the technique requires a massive number of experimental runs which invariably implies an increase in time of experiment as well as high cost of reagents and materials [22].…”

Section: Rsm Approach To Process Optimizationmentioning

confidence: 99%

An Overview of Response Surface Methodology Approach to Optimization of Hydrogen and Syngas Production by Catalytic Reforming of Greenhouse Gases (CH4 and CO2)

Ayodele¹,

Abdullah²

2018

Statistical Approaches With Emphasis on Design of Experiments Applied to Chemical Processes

View full text Add to dashboard Cite

Catalytic reforming of Methane (CH 4 ) and carbon dioxide (CO 2 ) is one of the techniques used for the production of hydrogen and syngas. This technique has dual advantages of mitigation of greenhouse gases and production of hydrogen and syngas which are often used as intermediates for the synthesis of valuable chemical products and oxygenates. This study presented an overview of the application of response surface methodology (RSM) in the optimization of hydrogen and syngas production from catalytic reforming of CH 4 and CO 2 . The different catalytic system that has been employed together with the nature of experimental design, input parameters, responses, the optimum conditions and the maximum values of their responses were examined. The future research direction in the application of RSM to optimization of hydrogen and syngas production by catalytic reforming of CH 4 and CO 2 was recommended.

show abstract

Development and optimisation of a non conventional extraction process of natural dye from olive solid waste using response surface methodology (RSM)

Cited by 67 publications

References 29 publications

Utilization of Response Surface Methodology in Optimization of Extraction of Plant Materials

Utilization of Response Surface Methodology in Optimization of Extraction of Plant Materials

Optimization of Chlorella vulgaris and bioflocculant-producing bacteria co-culture: enhancing microalgae harvesting and lipid content

An Overview of Response Surface Methodology Approach to Optimization of Hydrogen and Syngas Production by Catalytic Reforming of Greenhouse Gases (CH4 and CO2)

Contact Info

Product

Resources

About