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Optimization of Ultrasound-assisted Extraction of Quince Seed Gum through Response Surface Methodology

Publish Year: 1395
Type: Journal paper
Language: English
View: 114

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Document National Code:

JR_JASTMO-19-2_005

Index date: 22 November 2023

Optimization of Ultrasound-assisted Extraction of Quince Seed Gum through Response Surface Methodology abstract

Ultrasound-assisted extraction was used to determine the optimum processing conditions and to achieve the maximum extraction yield and viscosity of the gum extracted from quince seed. Using Response Surface Methodology (RSM) to design the experiments and adopting the Central Composite Rotatable Design (CCRD), the effect of extraction temperature (25-55°C), time (3-10 minutes), and pH (6-8) were evaluated on efficiency of gum extraction yield (%) and viscosities (mPas). The Chemical composition of the extracted gum was determined using AOAC standard methods. Apparent viscosity of the gum was measured by rotational viscometer. Using multiple linear regression analysis, a second-order polynomial model was developed for each response. The quince seed gum showed pseudoplastic behavior. Optimum operating conditions based on the highest yield and viscosity was predicted by RSM as an extraction temperature of 38.03◦C, pH of 6.35 and the extraction (ultra-sonication) time of 7.68 minutes. At this optimum point, extraction yield and viscosity were 14.09% and 52.4 mPas, respectively.

Optimization of Ultrasound-assisted Extraction of Quince Seed Gum through Response Surface Methodology Keywords:

Central composite rotatable design , Extraction Yield , Pseudoplastic behavior , Viscosity

Optimization of Ultrasound-assisted Extraction of Quince Seed Gum through Response Surface Methodology authors

A. Dehghan Sekachaei

Department of Food science and Technology, Gorgan University of Agricultural Science and Natural Resources, Gorgan, Islamic Republic of Iran.

A. Sadeghi Mahoonak

Department of Food science and Technology, Gorgan University of Agricultural Science and Natural Resources, Gorgan, Islamic Republic of Iran.

M. Ghorbani

Department of Food science and Technology, Gorgan University of Agricultural Science and Natural Resources, Gorgan, Islamic Republic of Iran.

M. Kashani nezhad

Department of Food science and Technology, Gorgan University of Agricultural Science and Natural Resources, Gorgan, Islamic Republic of Iran.

Y. Maghsoudlou

Department of Food science and Technology, Gorgan University of Agricultural Science and Natural Resources, Gorgan, Islamic Republic of Iran.

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