目的 建立龙脑樟Cinnamomum camphora chvar. borneol“发汗”处理GC-MS指纹图谱与“发汗”前后龙脑樟粗提物中主成分含量测定方法，优选得到最佳“发汗”工艺；结合GC-MS代谢组学探究“发汗”前后龙脑樟的成分差异，为其进一步研究提供依据。方法 采用直接堆积的方法对新鲜龙脑樟枝叶进行“发汗”处理；基于GC-MS建立“发汗”前后龙脑樟中d-龙脑的含量测定方法；运用中药色谱指纹图谱相似度评价系统（2012年版）结合NIST17.L标准质谱库构建“发汗”前后龙脑樟指纹图谱并进行相似度和共有峰定性分析；通过SPSS 19.0软件、Origin 2021软件及SIMCA 14.1等软件对“发汗”前后龙脑樟成分进行多元数据分析。结果 “发汗”4 d，15 ℃，RH 60%（S5组）为最佳工艺，该条件下的d-龙脑含量显著高于“未发汗”S10组含量；“发汗”组与“未发汗”组、不同“发汗”组之间，化合物的种类和含量均有不同程度差异；构建的指纹图谱共标定9个共有峰，分别是α-蒎烯、莰烯、α-水芹烯、桉叶油素、樟脑、d-龙脑、β-石竹烯、α-葎草烯、丁香烯，10批样品相似度均≥0.982；龙脑樟“发汗”前后差异代谢物共计10种，d-龙脑和樟脑上调，α-thujene、γ-松油烯、4-异丙基甲苯、4-萜烯醇下调。结论 “发汗”可以提高d-龙脑含量，一定程度缓和天然冰片产量低的问题，缓解其资源短缺现状，为解决天然冰片产业化难题提供了一个新思路；建立的GC-MS指纹图谱和d-龙脑含量测定方法便捷可行、重复性好，且仪器精密度高。

Objective To establish a GC-MS fingerprint of “sweating” treatment and determination method of main components in Longnaozhang (Cinnamomum camphora chvar. borneol) before and after the “sweating” treatment. To optimize the best “weating” conditions and evaluate quality of C. camphora chvar. borneol before and after “sweating” treatment with GC-MS metabolomics, which provides the basis for further research. Methods The method of “sweating” was applied to the leaves and branches of the fresh C. camphora chvar. borneol by direct stacking. A method for the content determination of d-borneol in C. camphora chvar. borneol before and after “sweating” was established based on GC-MS. Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System (2012 edition) and NIST17.L standard mass spectrometer library were used to construct “sweating” fingerprint and conduct qualitative analysis of similarity of common peak. Multivariate data analysis was performed on the components of C. camphora chvar. borneol before and after “sweating” by SPSS 19.0 software, Origin 2021 and SIMCA 14.1 software. Results The “sweating” 4 d, 15 ℃, RH 60% (S5 group) was confirmed as the optimal condition. The content of d-borneol was significantly higher than that in “non-sweating” S10 group. The types and contents of compounds were differentbetween “sweating” and “non-sweating” groups, and between different “sweating” groups. A total of 9 common peaks were identified, namely α-pinene, camphene, α-phellandrene, eucalyptol, camphor, d-borneol, β-caryophyllene, α-humulene, γ-himachalene. The similarity of 10 batches of samples was greater than 0.982. Altogether 10 metabolites differed before and after “sweating”, with up-regulated d-borneol and camphor, down-regulated terpinen-4-ol and other compounds. Conclusion “Sweating” can increase the content of d-borneol, which can solve the problem that has low production of Borneolum to alleviate the current shortage of resources. The established GC-MS fingerprint and method of determining content of d-borneol are convenient and feasible, with good reproducibility, and high precision of the instrument.

R283.6

广东省科研机构重点领域研发计划（省级实验室分中心）（2021B0707010008）