gastrodiae rhizoma
Recently Published Documents


TOTAL DOCUMENTS

38
(FIVE YEARS 8)

H-INDEX

8
(FIVE YEARS 1)

Phytomedicine ◽  
2021 ◽  
pp. 153576
Author(s):  
Wei-Hsiang Hsu ◽  
Nai-Kuei Huang ◽  
Young-Ji Shiao ◽  
Chung-Kuang Lu ◽  
Yen-Ming Chao ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Yamin Zuo ◽  
Jing Yang ◽  
Chen Li ◽  
Xuehua Deng ◽  
Shengsheng Zhang ◽  
...  

Steaming is a vital unit operation in traditional Chinese medicine (TCM), which greatly affects the active ingredients and the pharmacological efficacy of the products. Near-infrared (NIR) spectroscopy has already been widely used as a strong process analytical technology (PAT) tool. In this study, the potential usage of NIR spectroscopy to monitor the steaming process of Gastrodiae rhizoma was explored. About 10 lab scale batches were employed to construct quantitative models to determine four chemical ingredients and moisture change during the steaming process. Gastrodin, p-hydroxybenzyl alcohol, parishin B, and parishin A were modeled by different multivariate calibration models (SMLR and PLS), while the content of the moisture was modeled by principal component regression (PCR). In the optimized models, the root mean square errors of prediction (RMSEP) for gastrodin, p-hydroxybenzyl alcohol, parishin B, parishin A, and moisture were 0.0181, 0.0143, 0.0132, 0.0244, and 2.15, respectively, and correlation coefficients ( R p 2 ) were 0.9591, 0.9307, 0.9309, 0.9277, and 0.9201, respectively. Three other batches’ results revealed that the accuracy of the model was acceptable and that was specific for next drying step. In addition, the results demonstrated the method was reliable in process performance and robustness. This method holds a great promise to replace current subjective color judgment and time-consuming HPLC or UV/Vis methods and is suitable for rapid online monitoring and quality control in the TCM industrial steaming process.


2020 ◽  
Vol 16 (7) ◽  
pp. 500-513
Author(s):  
Zhijun Xiao ◽  
Cuicui Liu ◽  
Jingjing Duan ◽  
Ting Zhou ◽  
Xiufeng Liu ◽  
...  

2020 ◽  
Vol 165 ◽  
pp. 106376
Author(s):  
Ka Lai Yip ◽  
Xuelin Zhou ◽  
Ping Chook ◽  
Ping Chung Leung ◽  
Steven Schachter ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Min Wang ◽  
Wanrui Dong ◽  
Ruiying Wang ◽  
Xudong Xu ◽  
Ying Wu ◽  
...  

Gastrodiae Rhizoma is a highly valuable traditional herbal medicine commonly used to treat neurological disorders. The present study is designed to determine the antidepressant-like effect of the Gastrodiae Rhizoma water extract (GRWE) on a depression model and the potential mechanisms. The chronic unpredictable mild stress (CUMS) rat model was used to induce depression. The sucrose preference test, open field test, forced swimming test, and tail suspension test were performed to assess the depressive-like behaviors, respectively. Hypothalamic–pituitary–adrenal (HPA) function was measured via plasma corticosterone (CORT), adrenocorticotrophic hormone (ACTH), hypothalamic corticotropin-releasing factor (CRF), and glucocorticoid receptor (GR) concentrations. Plasma concentrations of proinflammatory cytokines including interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α) were also evaluated. The results showed that GRWE significantly attenuates the behavioral abnormalities in CUMS rats, as shown by elevated sucrose consumption, raised locomotor activity, and reduced immobility duration. Moreover, GRWE treatment reduced CORT, ACTH, CRF, and GR levels and decreased the plasma IL-1β, IL-6, and TNF-α concentrations. These findings indicate that GRWE improves depressive behaviors in a chronic stress model of rats; its effect may be ascribed to the modulation of the HPA axis activity and inflammatory response.


2020 ◽  
Vol 31 (6) ◽  
pp. 835-845
Author(s):  
Mengyujie Liu ◽  
Liang Zhao ◽  
Liwen Han ◽  
Haonan Li ◽  
Yongping Shi ◽  
...  

2020 ◽  
Vol 254 ◽  
pp. 112403 ◽  
Author(s):  
Han Xu ◽  
Ling-Yu Ruan ◽  
Cheng Chen ◽  
Jun-Ting Fan ◽  
Jian-Feng Chen ◽  
...  

2019 ◽  
Vol 5 (1) ◽  
pp. 50-60 ◽  
Author(s):  
Ka Lai Yip ◽  
Chi Man Koon ◽  
Zi Yi Chen ◽  
Ping Chook ◽  
Ping Chung Leung ◽  
...  

2017 ◽  
Vol 31 (7) ◽  
pp. e3909 ◽  
Author(s):  
Zhengmeng Jiang ◽  
Xiuyan Zheng ◽  
Xiaojian Gong ◽  
Chao Zhao ◽  
Xin Zhou ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document