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[Optimization for supercritical CO2 extraction with response surface methodology of Prunus armeniaca oil].
Zhong Yao Cai. 2012 Mar; 35(3):479-82.ZY

Abstract

OBJECTIVE

To optimize the extraction conditions of Prunus armeniaca oil by Supercritical CO2 extraction and identify its components by GC-MS.

METHODS

Optimized of SFE-CO extraction by response surface methodology and used GC-MS to analysis Prunus armeniaca oil compounds.

RESULTS

Established the model of an equation for the extraction rate of Prunus armeniaca oil by supercritical CO2 extraction, and the optimal parameters for the supercritical CO2 extraction determined by the equation were: the extraction pressure was 27 MPa, temperature was 39 degrees C, the extraction rate of Prunus armeniaca oil was 44.5%. 16 main compounds of Prunus armeniaca oil extracted by supercritical CO2 were identified by GC-MS, unsaturated fatty acids were 92.6%.

CONCLUSION

This process is simple, and can be used for the extraction of Prunus armeniaca oil.

Authors+Show Affiliations

Chen FF
Sun Yat-Sen University, Guangzhou 510275, China.
Wu Y
No affiliation info available
Ge FH
No affiliation info available

MeSH

Analysis of VarianceCarbon DioxideChromatography, Supercritical FluidFatty Acids, UnsaturatedGas Chromatography-Mass SpectrometryManganeseOils, VolatileOleic AcidsPlant OilsPressurePrunusResearch DesignSeedsSolventsTemperatureTime Factors

Pub Type(s)

English Abstract
Journal Article

Language

chi

PubMed ID

22876691

Citation

Chen, Fei-Fei, et al. "[Optimization for Supercritical CO2 Extraction With Response Surface Methodology of Prunus Armeniaca Oil]." Zhong Yao Cai = Zhongyaocai = Journal of Chinese Medicinal Materials, vol. 35, no. 3, 2012, pp. 479-82.
Chen FF, Wu Y, Ge FH. [Optimization for supercritical CO2 extraction with response surface methodology of Prunus armeniaca oil]. Zhong Yao Cai. 2012;35(3):479-82.
Chen, F. F., Wu, Y., & Ge, F. H. (2012). [Optimization for supercritical CO2 extraction with response surface methodology of Prunus armeniaca oil]. Zhong Yao Cai = Zhongyaocai = Journal of Chinese Medicinal Materials, 35(3), 479-82.
Chen FF, Wu Y, Ge FH. [Optimization for Supercritical CO2 Extraction With Response Surface Methodology of Prunus Armeniaca Oil]. Zhong Yao Cai. 2012;35(3):479-82. PubMed PMID: 22876691.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Optimization for supercritical CO2 extraction with response surface methodology of Prunus armeniaca oil]. AU - Chen,Fei-Fei, AU - Wu,Yan, AU - Ge,Fa-Huan, PY - 2012/8/11/entrez PY - 2012/8/11/pubmed PY - 2012/12/21/medline SP - 479 EP - 82 JF - Zhong yao cai = Zhongyaocai = Journal of Chinese medicinal materials JO - Zhong Yao Cai VL - 35 IS - 3 N2 - OBJECTIVE: To optimize the extraction conditions of Prunus armeniaca oil by Supercritical CO2 extraction and identify its components by GC-MS. METHODS: Optimized of SFE-CO extraction by response surface methodology and used GC-MS to analysis Prunus armeniaca oil compounds. RESULTS: Established the model of an equation for the extraction rate of Prunus armeniaca oil by supercritical CO2 extraction, and the optimal parameters for the supercritical CO2 extraction determined by the equation were: the extraction pressure was 27 MPa, temperature was 39 degrees C, the extraction rate of Prunus armeniaca oil was 44.5%. 16 main compounds of Prunus armeniaca oil extracted by supercritical CO2 were identified by GC-MS, unsaturated fatty acids were 92.6%. CONCLUSION: This process is simple, and can be used for the extraction of Prunus armeniaca oil. SN - 1001-4454 UR - https://www.unboundmedicine.com/medline/citation/22876691/[Optimization_for_supercritical_CO2_extraction_with_response_surface_methodology_of_Prunus_armeniaca_oil]_ DB - PRIME DP - Unbound Medicine ER -