Ding Qiuyue, Qin Baoyi, Deng Shimin, Chen Jie, Liu Ziwei, Zhou Weiping, Chen Xiaoying, Zhang Weimin, Zhou Xin, Gao Xiaoxia
School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
Zhaoke (Guangzhou) Ophthalmic Drugs Co., LTD, Guangzhou, 511466, China.
Sci Rep. 2025 Jun 4;15(1):19656. doi: 10.1038/s41598-025-04230-x.
Agarwood is a kind of valuable traditional Chinese medicine. However, natural agarwood has a long formation cycle and is in short supply. Herein, the complex inducer of artificial agarwood was screened and optimised based on design of experiments (DoE). Single factor design experiments were conducted to evaluate the effects of different concentrations of methyl jasmonate (A-MeJA), formic acid (B-FA) and Botryosphaeria rhodina A13(C-A13) on the in vitro branches of A. sinensis at different induction times (D-Time). The 2 factorial design was used to further optimise the screening of the complex inducer. Single factor experiments determined the concentration of the inducers acting on the branches of A. sinensis. The order of the four factors obtained by 2 factorial experiment was D-Time > A-MeJA > B-FA > C-A13. The optimal complex inducer was 1%MeJA + 1%FA + A13. Verification through an in vivo field experiment of 18 batches of A. sinensis, artificial agarwood met the requirements of the Pharmacopoeia of People's Republic of China 2020 (ChP 2020), an indication that the complex inducer could efficiently promote the formation of agarwood (in 9 months). These findings provide essential data and new ideas for the efficient induction of agarwood and the production of high-quality substitutes for natural agarwood.
沉香是一种名贵的传统中药。然而,天然沉香形成周期长且供应短缺。在此,基于实验设计(DoE)对人工沉香的复合诱导剂进行了筛选和优化。进行单因素设计实验,以评估不同浓度的茉莉酸甲酯(A-MeJA)、甲酸(B-FA)和拟茎点霉A13(C-A13)在不同诱导时间(D-Time)对白木香离体枝条的影响。采用二因素设计进一步优化复合诱导剂的筛选。单因素实验确定了作用于白木香枝条的诱导剂浓度。二因素实验得到的四个因素的顺序为D-Time>A-MeJA>B-FA>C-A13。最佳复合诱导剂为1%MeJA + 1%FA + A13。通过对18批白木香进行的体内田间实验验证,人工沉香符合《中华人民共和国药典》2020年版(ChP 2020)的要求,这表明该复合诱导剂能够有效促进沉香的形成(9个月内)。这些研究结果为沉香的高效诱导及天然沉香优质替代品的生产提供了重要数据和新思路。