Experimental Optimization and Modeling of Supercritical Fluid Extraction of Oil from Pinus gerardiana

被引：14

作者：

Amani, Mitra ^{[1
]}

Ardestani, Nedasadat Saadati ^{[2
]}

Honarvar, Bizhan ^{[3
,4
]}

机构：

[1] Islamic Azad Univ, Robat Karim Branch, Dept Chem Engn, Robat Karim 3761616461, Iran

[2] Mat & Energy Res Ctr, Dept Nanotechnol & Adv Mat, Karaj 141554777, Iran

[3] Islamic Azad Univ, Marvdasht Branch, Dept Chem Engn, Marvdasht, Iran

[4] Univ Texas Arlington, Dept Civil Engn, Arlington, TX 76019 USA

来源：

CHEMICAL ENGINEERING & TECHNOLOGY | 2021年 / 44卷 / 04期

关键词：

Artificial neural networks; Box‐ Behnken design; Broken and intact cells model; Response surface methodology; Supercritical CO2;

D O I：

10.1002/ceat.202000347

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The influence of different temperatures, pressures, and flow rates on the supercritical fluid extraction (SFE) of oil from Pinus gerardiana was investigated. Extraction was designed using the Box-Behnken design and artificial neural network. Furthermore, a mathematical model of broken and intact cells was applied to consider mass transfer kinetics of extracted natural materials. The experimental oil extraction was performed by Soxhlet and supercritical carbon dioxide methods and the yield and composition of the obtained oils was compared. Although the yield of the SFE process was lower than that of the Soxhlet extraction, the SFE presented the advantage of shorter extraction time and lower temperatures. Also, the chemical compositions of the obtained oils from Soxhlet and SFE processes were the same.

引用

页码：578 / 588

页数：11

共 73 条

[41] Effects of drying methods on qualitative and quantitative of the essential oil of Bakhtiari savory (Satureja bachtiarica Bunge.) [J].

Pirbalouti, Abdollah Ghasemi ;

Oraie, Mehdi ;

Pouriamehr, Mehdi ;

Babadi, Ezatollah Solaymani .

INDUSTRIAL CROPS AND PRODUCTS, 2013, 46 :324-327

[42] Supercritical fluid extraction in plant essential and volatile oil analysis [J].

Pourmortazavi, Seied Mahdi ;

Hajimirsadeghi, Seiedeh Somayyeh .

JOURNAL OF CHROMATOGRAPHY A, 2007, 1163 (1-2) :2-24

[43] Application of artificial neural network and genetic algorithm approaches for prediction of flow characteristic in serpentine microchannels [J].

Rahimi, Masoud ;

Hajialyani, Marziyeh ;

Beigzadeh, Reza ;

Alsairafi, Ammar Abdulaziz .

CHEMICAL ENGINEERING RESEARCH & DESIGN, 2015, 98 :147-156

[44]

Rahman M.Sh., 2005, Engineering Properties of Foods, V3rd

[45] Fitting of broken and intact cell model to supercritical fluid extraction (SFE) of sunflower oil [J].

Rai, Amit ;

Mohanty, Bikash ;

Bhargava, Ravindra .

INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES, 2016, 38 :32-40

[46] Modeling and response surface analysis of supercritical extraction of watermelon seed oil using carbon dioxide [J].

Rai, Amit ;

Mohanty, Bikash ;

Bhargava, Ravindra .

SEPARATION AND PURIFICATION TECHNOLOGY, 2015, 141 :354-365

[47] Mathematical Modeling of Supercritical Extraction of Valerenic Acid from Valeriana officinalis L. [J].

Salimi, Alireza ;

Fatemi, Shohreh ;

Nei, Hamzeh Zakizadeh Nei ;

Safaralie, Asghar .

CHEMICAL ENGINEERING & TECHNOLOGY, 2008, 31 (10) :1470-1480

[48] Predicting the yield of pomegranate oil from supercritical extraction using artificial neural networks and an adaptive-network-based fuzzy inference system [J].

Sargolzaei, J. ;

Moghaddam, A. Hedayati .

FRONTIERS OF CHEMICAL SCIENCE AND ENGINEERING, 2013, 7 (03) :357-365

[49]

Sarijo, 2015, 2 INT C MULT INN SUS

[50]

Sathyamoorthy N., 2017, BENI-SUEF U J BASIC, V6, P362, DOI [DOI 10.1016/J.BJBAS.2017.06.002, 10.1016/j. bjbas.2017.06.002]

← 1 2 3 4 5 6 7 8 →