共 45 条
Bioprospecting of Essential Oil-Bearing Plants: Rapid Screening of Volatile Organic Compounds Using Headspace Bubble-in-Drop Single-Drop Microextraction for Gas Chromatography Analysis
被引:0
|作者:
Letseka, Thabiso E.
[1
]
Sepheka, Ntjana J.
[1
]
Dubery, Ian A.
[2
]
George, Mosotho J.
[1
,2
]
机构:
[1] Natl Univ Lesotho, Dept Chem & Chem Technol, POB 180, Rome 100, Lesotho
[2] Univ Johannesburg, Dept Biochem, POB 524, ZA-2006 Johannesburg, South Africa
来源:
关键词:
bubble-in-drop;
essential oils;
headspace;
oil-bearing plants;
SDME;
volatiles;
CHEMICAL-COMPOSITION;
AROMATIC PLANTS;
EXTRACTION;
CONSTITUENTS;
HORMONES;
D O I:
10.3390/plants11202749
中图分类号:
Q94 [植物学];
学科分类号:
071001 ;
摘要:
Essential oils are vital constituents of oil-bearing plants. However, their screening still demands harvesting of the plant for laboratory analysis. We report herein a simple, rapid and robust headspace bubble-in-drop microextraction screening technique (BID-SPME) requiring only small amounts of plant material. The optimised method uses 0.5 g of the crushed plant leaves sample obtained in a 2 mL capped chromatography vial, heated to 55 degrees C and sampled with 2 mu L heptadecane in a Hamilton gastight syringe equilibrated for 15 min exposed to the headspace volume. The method was applied to three plants, Pinus radiata, Tagetes minuta and Artemisia afra, which are known for their essential oil content. The method was able to extract at least 80% of the oil constituents in such abundance that they could be easily annotated using the gas chromatography-mass spectrometry (GC-MS) mass spectral libraries. The major volatile organic compounds (VOCs) detected included tagetone, terpinen-4-ol, ocimenone, caryophyllene, dihydrotagetone, terpinolene and artemisia ketone, just to mention a few, at different concentrations in different plants. Importantly, these annotated VOCs were also reported in other studies in the same and even different plants, extracted using normal steam distillation and importantly those reported in the literature for different extraction techniques.
引用
收藏
页数:13
相关论文