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不同萃取方法下绿萼梅花蕾挥发性成分的差异研究

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2023 年 3 月 13 日,从浙江省长兴县东方梅园有限公司梅花基地采集绿萼梅花蕾,采用顶空-固相微萃取、水蒸气蒸馏、超临界二氧化碳 3 种萃取方法,结合气相色谱-质谱联用仪(GC-MS)分析绿萼梅Prunus mume f.viridicalyx花蕾中的挥发性成分,以明确其花蕾中挥发性成分组成、含量及不同萃取方式对挥发性成分萃取效果的影响.结果表明,三种萃取方法获得的绿萼梅花提取物中共鉴定出醛、醇、酮、烯等9类57种化合物,主要挥发性成分是苯甲醛、壬醛、金合欢醇、苯甲酸、α-香树脂醇、D-柠檬烯,其中苯甲醛含量最高.绿萼梅花顶空-固相微萃取物中共鉴定出21种化合物,以醛、醇和酯类化合物为主;水蒸气蒸馏物中共鉴定出30种化合物,以酯、烯、酮等水难溶化合物为主;而超临界二氧化碳提取物中共鉴定出30 种化合物,以长链烷、酯类化合物为主.三种提取方法中超临界二氧化碳萃取物中蜡质含量较高,顶空-固相微萃取和水蒸气蒸馏法结合更适合作为植物芳香类挥发物的检测手段.
Variance of Volatile Component from Prunus mume f.viridicalyx flower by Different Extraction Methods
On 13th March 2023,alabastrum of Prunus mume f.viridicalyx were collected in Changxing,Zhejiang province.Volatiles were extracted by headspace-solid phase microextraction,steam distillation and supercritical carbon dioxide,and analyzed by gas chromatography-mass spectrometry(GC-MS).The results revealed that there were 57 compounds extracted from alabastrum of P.mume f.viridicalyx belonging to 9 classes,including aldehydes,alcohols,ketones,and alkenes by three extraction methods.Benzaldehyde,nonanal,farnesol,benzoic acid,α-amyrin and D-limonene were identified as the main volatile components with benzaldehyde exhibiting the highest content.A total of 21 compounds were extracted by headspace-solid phase microextraction,consisting of aldehydes,alcohols and esters.30 compoundswere extracted by steam distillation,mainly comprising esters,alkene,ketones and other water-insoluble compounds.Supercritical CO2extraction resulted 30 compounds predominantly long-chain alkane and ester compounds.The experiment demonstrated that supercritical carbon dioxide extract had higher wax content,combination of headspace-solid phase microextraction and steam distillation proved to be more suitable detecting plant aromatic volatiles.

Prunus mume f.viridicalyxvolatile componentssteam distillationheadspace-solid phase microextractionsupercritical CO2 extraction

王衍彬、陈雅丹、秦玉川、吴晓红、黄旭波、程俊文、王丽玲、方茹、贺亮

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浙江省林业科学研究院,浙江 杭州 310023

浙江东方梅园有限公司,浙江 湖州 313199

绿萼梅 挥发性成分 水蒸气蒸馏 顶空-固相微萃取 超临界CO2萃取

长兴县农业科技计划

2022N05

2024

浙江林业科技
浙江省林业科学研究院 浙江省林学会 浙江省林业科技情报中心

浙江林业科技

影响因子:0.483
ISSN:1001-3776
年,卷(期):2024.44(1)
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