2021
DOI: 10.3390/molecules26185691
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Volatile Composition and Biological Activity of Jordanian Commercial Samples of R. coriaria L. Fruits

Abstract: The present paper reports the GC-HS-SPME analysis of volatile emission and GC-MS analysis of chemical composition of essential oil of R. coriaria fruits of eight different samples of R. coriaria L. fruits (“sumac” folk name), collected from Jordanian agricultural field and the local market. The analyses show an important variability among the Sumac samples probably due to the origin, cultivation, harvesting period, drying, and conservation of the plant material. The main class of component present in all sampl… Show more

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Cited by 4 publications
(2 citation statements)
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“…GC/MS analysis was done according to the procedure previously described in the literature [ 29 , 30 ]. The analysis was performed on a Shimadzu QP2020 GC-MS equipped with GC-2010 Plus (Shimadzu Corporation, Kyoto, Japan) with a split–splitless injector, utilizing a DB5-MS fused silica column (5% phenyl, 95% polydimethylsiloxane, 30 m × 0.25 mm, 25 µm film thickness).…”
Section: Methodsmentioning
confidence: 99%
“…GC/MS analysis was done according to the procedure previously described in the literature [ 29 , 30 ]. The analysis was performed on a Shimadzu QP2020 GC-MS equipped with GC-2010 Plus (Shimadzu Corporation, Kyoto, Japan) with a split–splitless injector, utilizing a DB5-MS fused silica column (5% phenyl, 95% polydimethylsiloxane, 30 m × 0.25 mm, 25 µm film thickness).…”
Section: Methodsmentioning
confidence: 99%
“…The procedure outlined by [ 52 ] using Shimadzu QP2020 GC-MS (Shimadzu Corporation, Kyoto, Japan) supplied with a split-split-less type injector, was utilized to analyze ethanol extracts and separate the volatile components using DB5 MS fused silica column. Besides the published data, every chemical component’s mass spectrum was compared to the corresponding reported spectrum for GC-MS including familiar libraries of ADAMS-2007 and NIST 2017.…”
Section: Methodsmentioning
confidence: 99%