目的:建立了荆芥穗药材中腺鳞的分离、纯化、富集与计数方法,对荆芥穗腺鳞内含物进行化学定性并测定3种萜类成分含量。方法:运用冻刷法分离荆芥穗腺鳞,利用水选沉降与材料亲和技术对所分离的腺鳞进行纯化富集,并运用气相质谱技术对腺鳞内含物化学定性,结合显微计数对单个腺鳞及萼片中3种萜类成分含量进行测定和预测。结果:共从荆芥穗腺鳞内含物中鉴定了29个成分,占峰总面积97.45%,其与荆芥穗挥发油的共有峰35个,大于各自峰总面积的97%,其中d-柠檬烯、dl-薄荷酮、胡薄荷酮、反式香芹乙酯等化合物在二者中含量差异较大。通过显微计数,测得单个腺鳞中d-柠檬烯、dl-薄荷酮、胡薄荷酮含量分别为27.660、24.334、396.390 ng。结论:本实验为荆芥穗腺鳞研究提供了分离、纯化、富集及计数方法,水蒸气蒸馏提取挥发油与荆芥穗腺鳞内含物的化学组分有所差异,不能完全真实的反映药材中各挥发油类成分的含量与比例。基于腺鳞计数所建立的3种萜类成分含量预测模型预测能力较好。
Objective: A method was established for separation,purification,enrichment and enumeration of peltate glandular trichomes from Schizonepetae Spica which combined with qualitative and quantitative analysis of major constituents of its inclusions. Methods: Frozen brush method and sedimentation of water concentration connected to technology of materials affinity were applied to separate and concentrate peltate glandular trichomes respectively,and extracts of inclusions was qualified by GCMS. Microscope enumeration was considered used to quantitatively analyze three monoterperes in single peltate glandular trichome and the calyx of Schizonepetae Spica. Results: 29 chemical compounds were identified from peltate glandular trichomes' inclusions of Schizonepetae Spica,constituting 97. 45% of the total peak area. 35 characteristic common peaks exceeding 97% of the total peak area was both present in peltate glandular trichomes' inclusions and essential oils of Schizonepetae Spica. The difference contents of d-limonene,dl-menthone,pulegone,E-carveol acetate,et al between peltate glandular trichomes' inclusions and essential oils of Schizonepetae Spica were large. The content of d-limonene,dl-menthone,pulgone in a single peltate glandular trichome was 27. 660,24. 334 and 396. 390 ng respectively through the method of microscope enumeration. Conclusion: The research provides a method of separation,purification enrichment and enumeration of peltate glandular trichomes. The chemical constituent of essential oil which is extracted by water vapor is different from peltate glandular trichomes' inclusions and could not reflect the ratio and content,while prediction model which based on microscope enumeration is precision.