2011Food ScienceRequires access

Optimizing the Extraction of Polyphenols from Pineapple Peel Residue by Hartley's Experimental Design Method

Jihua Li

Open publisher page 0 citations

Abstract

In the present study,process optimization for the extraction of polyphenols from pineapple peel residue with ethanol aqueous solution was carried out by Hartley's experimental design method combined with response surface analysis based on a series of one-factor-at-a-time experiments. A regression model for total polypenhols yield as a function of four factors,namely temperature,extraction time,ethanol concentration and liquid-to-material ratio was built. The importance of the four factors affecting total polypenhols yield declined in the following sequence:temperature,extraction time,liquid-to-material ratio and ethanol concentration. Extraction at 48.4 ℃for 73.6 min with a 46.8-fold volume of 41.6% ethanol aqueous solution yielded the most total polyphenols,reaching 7.77 mg/g,which was basically in accordance with the model-predicted value. In conclusion,the optimized extraction process is reliable and can be used for the development of products based on pineapple peel polyphenols.

About this research paper

What this paper is about

In the present study,process optimization for the extraction of polyphenols from pineapple peel residue with ethanol aqueous solution was carried out by Hartley's experimental design method combined with response surface analysis based on a series of one-factor-at-a-time experiments. A regression model for total polypenhols yield as a function of four factors,namely temperature,extraction time,ethanol concentration and liquid-to-material ratio was built. The importance of the four factors affecting total polypenhols yield declined in the following sequence:temperature,extraction time,liquid-to-material ratio and ethanol concentration. Extraction at 48.4 ℃for 73.6 min with a 46.8-fold volume of 41.6% ethanol aqueous solution yielded the most total polyphenols,reaching 7.77 mg/g,which was basically in accordance with the model-predicted value. In conclusion,the optimized extraction process is reliable and can be used for the development of products based on pineapple peel polyphenols.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In the present study,process optimization for the extraction of polyphenols from pineapple peel residue with ethanol aqueous solution was carried out by Hartley's experimental design method combined with response surface analysis based on a series of one-factor-at-a-time experiments. A regression model for total polypenhols yield as a function of four factors,namely temperature,extraction time,ethanol concentration and liquid-to-material ratio was built. The importance of the four factors affecting total polypenhols yield declined in the following sequence:temperature,extraction time,liquid-to-material ratio and ethanol concentration. Extraction at 48.4 ℃for 73.6 min with a 46.8-fold volume of 41.6% ethanol aqueous solution yielded the most total polyphenols,reaching 7.77 mg/g,which was basically in accordance with the model-predicted value. In conclusion,the optimized extraction process is reliable and can be used for the development of products based on pineapple peel polyphenols.

Key concepts: Polyphenol, Extraction (chemistry), Chemistry, Chromatography, Yield (engineering), Residue (chemistry), Response surface methodology, Aqueous solution

Related papers

Back to paper searchBrowse research topicsOriginal source
Optimizing the Extraction of Polyphenols from Pineapple Peel Residue by Hartley's Experimental Design Method — Research Paper | ScholarLens