Zhang Jun, Sun Meile, Ren Xiangrong, Yang Jing, Zhang Yijie, Hui Jingtao, Li Pengbing, Tao Jianfei, Liu Tianzhi, Lin Guocang
Xinjiang Academy of Agricultural Sciences Comprehensive Experimental Farm, Urumqi 830012, China.
Metabolites. 2025 May 14;15(5):325. doi: 10.3390/metabo15050325.
Rose processing faces critical challenges in preserving bioactive compounds and aroma profiles during thermal treatments, particularly given the growing demand for natural ingredients in the food and cosmetic industries.
Using widely targeted metabolomics, we first characterized volatile profiles of four major commercial cultivars (Hetian, Damask, Bulgarian, and Fenghua; = 6 replicates per cultivar), identifying terpenoids as dominant components ( < 0.05). Subsequent thermal optimization focused on Hetian rose, where WGCNA and K-means analyses revealed temperature-dependent dynamics (40-55 °C, triplicate drying trials per temperature).
Hetian rose exhibited significantly higher accumulation ( < 0.05) of a unique sesquiterpene marker, 4-(1,5-dimethyl-1,4-hexadienyl)-1-methyl-cyclohexene. Systematic drying optimization identified 50 °C as the thermal threshold for optimal color, bioactive retention, and sensory quality. Mechanistic analysis identified 193 temperature-responsive metabolites (VIP > 1, FC < 0.25 or >4, < 0.01), with terpenoid biosynthesis (MVA/MEP pathways) and esterification dynamics emerging as critical control points.
This study establishes the first cultivar-specific processing framework for roses, demonstrating that metabolic signature-guided drying improves product quality. The findings advance our understanding of thermal impacts on aroma biochemistry while providing actionable protocols for natural product industries.
玫瑰加工在热处理过程中,在保存生物活性化合物和香气特征方面面临严峻挑战,尤其是考虑到食品和化妆品行业对天然成分的需求不断增长。
我们首先使用广泛靶向代谢组学对四个主要商业品种(和田、大马士革、保加利亚和丰花;每个品种n = 6个重复)的挥发性成分进行了表征,确定萜类化合物为主要成分(P < 0.05)。随后的热优化聚焦于和田玫瑰,其中加权基因共表达网络分析(WGCNA)和K均值分析揭示了温度依赖性动态变化(40 - 55°C,每个温度进行三次干燥试验)。
和田玫瑰表现出一种独特的倍半萜标记物4-(1,5 - 二甲基 - 1,4 - 己二烯基)-1 - 甲基 - 环己烯的显著更高积累(P < 0.05)。系统的干燥优化确定50°C为最佳颜色、生物活性保留和感官品质的热阈值。机理分析确定了193种温度响应代谢物(VIP > 1,FC < 0.25或>4,P < 0.01),其中萜类生物合成(MVA/MEP途径)和酯化动态变化成为关键控制点。
本研究建立了首个针对玫瑰品种的加工框架,表明代谢特征引导的干燥可提高产品质量。这些发现推进了我们对热对香气生物化学影响的理解,同时为天然产品行业提供了可操作的方案。