Angelica sinensis Diels have of blood tonic, laxative effects and was used for irregular period, pain in bones and joins, and dry and weak stomach and loss appetite. This herb can be an alternative for blood tonic medication, so it should not be used concomitantly with vitamins and should be prescribed based on causes of diseases
Pharmaceutical Preparations ; Angelica sinensis

Wild Angelica sinensis is almost endangered, studying the biological characteristics of wild A. sinensis seeds is helpful for varietal improvement and its conservation. This paper systematically studied the morphological structure, thousand seed weight, viability, storage and other basic biological characteristics of wild A. sinensis fruits and seeds, and focused on the germination of excised embryos,the development of embryo, the effects of the temperature,light and hormones on seed germination.The study found that:①The embryos are not fully developed when harvested, the initial germination rate was low, the embryos can develop. After 15 days of low temperature storage, the embryos can develop completely and the germination rate is significantly increased. These results show that wild A. sinensis seeds have no dormancy, and the low germination rate is due to the low maturity of wild A. sinensis seeds. ②The sui-table germination temperature of wild A. sinensis is 15-25 ℃,and the optimal temperature is 20 ℃. Light does not affect the germination of A. sinensis seeds.③The applicable concentration of GA_3 can promote seeds germination, IAA and 6-BA has no significant effect on germination.④The optimum storage condition is dry storage at 4 ℃. Wild A. sinensis seeds can be stored for 1.5 years and cultivated seeds can be stored for 1 year.During the introduction and conservation, the best treatment conditions were dry storage at 4 ℃ for 30 d and soaking seeds with 200 mg·L~(-1) GA_3, the germination rate can reach 86.7%.
Angelica sinensis ; Cold Temperature ; Germination ; Seeds ; Temperature

Angelicae sinensis Radix( ASR) is a commonly used medicinal material in Chinese medicine,widely used in clinical practice of Chinese medicine,Gansu province is the genuine production area of ASR. This paper studies the evolution law of drying method of ASR,the results showed that drying process was the key affection of the medicinal properties and quality of ASR,and it was an important reflection of the authentic properties of ASR. The drying history of ASR has gradually changed from the earliest shade drying to various drying methods. The Chinese Pharmacopoeia stipulates that the drying method of ASR is"fumigation drying",and the traditional drying method can not meet the processing needs of the origin. In recent years,the new drying methods and drying effects on the quality of ASR are more.
Angelica sinensis ; Desiccation ; Drugs, Chinese Herbal

Due to the large amount of nutrients required during the cultivation of Angelica sinensis and in order to prevent the occurrence of pests and diseases,and the annual reduction of the planting area of Angelica and the balance of supply and demand of A. sinensis,the A. sinensis plantation adopts the rotation mode. This paper takes Wuyuan county of Gansu province as the research scope and use GF-1 Satellite data as the data source,using remote sensing technology combined with field survey results,to explore the effective method of visual interpretation for the extraction of A. sinensis planting area. A sample was selected to generate a spectrum according to different feature types. The different characteristics of A. sinensis and other features were analyzed and distinguished in remote sensing images,so that the A. sinensis planting plots were extracted and verified in remote sensing images. The results showed that the accuracy verification value of the visual interpretation method was 95. 85%. It is determined that the visual interpretation method can effectively extract the A. sinensis planting plots within the research scope and realize the comprehensive grasp of the spatial distribution information of A. sinensis.
Angelica sinensis ; China ; Plants, Medicinal ; Remote Sensing Technology

Dao-di herbs, produced in a specific region and screened through long-term clinical application, is characterized by high stable quality, good efficacy, and high popularity. With favorable climate conditions, Gansu gives birth to the Dao-di herbs Angelicae Sinensis Radix which is widely used in clinical practice, and multiple regions in Gansu, with similar ecological environment produce Angelicae Sinensis Radix. In this study, the spatial correlation and difference of phenolic acid content in Angelicae Sinensis Radix from Dao-di producing areas, emerging producing areas, and emerging planting areas in Gansu were analyzed based on ArcGIS to explore the "quality(chemical type)" characteristics of genuine Angelicae Sinensis Radix. Moreover, spatial distribution law and main driving factors of the total phenolic acid content in Angelicae Sinensis Radix in Gansu were analyzed based on geodetecctor. This study is expected to lay a basis for Dao-di research and production regionalization of Angelicae Sinensis Radix.
Angelica sinensis ; Cell Differentiation ; Drugs, Chinese Herbal ; Hydroxybenzoates

The demand for Angelicae Sinensis Radix, the dry root of Angelica sinensis, has been increasing year by year. However, the continuous cropping obstacles, frequent occurrence of pests and diseases, overuse of chemical pesticides, excessive pesticide residues and other problems in Angelicae Sinensis Radix production have attracted much attention. In this paper, we summarized the common diseases and pests attacking Angelica sinensis as well as the detection methods and characteristics of pesticide residues in Angelicae Sinensis Radix from 2002 to 2021. Additionally, we compared the limit standards of pesticide residues in Angelicae Sinensis Radix in and out of China and put forward suggestions for the high-quality and green development of Angelicae Sinensis Radix industry conside-ring the existing problems. The pesticide residues in Angelicae Sinensis Radix have been changing from organochlorines to organophosphorus pesticides. In recent years, some organophosphorus pesticides such as phorate, phoxim, isofenphos-methyl, phorate-sulfoxide, fenamiphos, isocarbophos, omethoate, and triazophos in Angelicae Sinensis Radix have seriously exceeded the standards. The detection methods of pesticide residues has evolved from chromatography to high performance chromatography-mass spectrometry, gas chromatography-mass spectrometry(GC-MS), and liquid chromatography-mass spectrometry(LC-MS), and some new detection techniques such as immunoassay have also been applied. Pesticide residues have become a primary factor that restricting the development of Angelicae Sinensis Radix industry. Therefore, moderate application of pesticides, establishment of ecological planting system, and strict limit standards of pesticide residues are necessary to solve the pesticide residue problem.
Angelica sinensis/chemistry* ; Chromatography, Liquid ; Organophosphorus Compounds ; Pesticide Residues ; Pesticides

To establish the water dynamics model for drying process of Angelicae Sinensis Radix, the Weibull distribution model was applied to study the moisture ratio variation curves, and compared the drying rate and drying activation energy with the drying methods of temperature controllable air drying, infrared drying under different temperatures (50, 60, 70 degrees C). The Weibull distribution model could well describe the drying curves, for the moisture ratio vs. drying time profiled of the model showed high correlation (R2 = 0. 994-0. 999). The result proved that the drying process of Angelicae Sinensis Radix belonged to falling-rate drying period. For the drying process, the scale parameter (a) was related to the drying temperature, and decreased as the temperature increases. The shape parameter (β) for the same drying method, drying temperature had little impact on the shape parameter. The moisture diffusion coefficient increase along with temperature increasing from 0.425 x 10(-9) m2 x s(-1) to 2.260 x 10(-9) m2 x s(-1). The activation energy for moisture diffusion was 68.82, 29.60 kJ x mol(-1) by temperature controllable air drying and infrared drying, respectively. Therefore, the Weibull distribution model can be used to predict the moisture removal of Angelicae Sinensis Radix in the drying process, which is great significance for the drying process of prediction, control and process optimization. The results provide the technical basis for the use of modern drying technology for industrial drying of Angelicae Sinensis Radix.
Angelica sinensis ; chemistry ; Desiccation ; methods ; Models, Theoretical ; Water

A crude drug “Dang-Gui”, belonging to the genus Angelica, has been used as a traditional herbal medicine in Asia. Various studies have investigated the chemical components and pharmacological activities of Dang-Gui worldwide. However, domestic research results published in Korean are undervalued in international academia due to language barriers. Therefore, it is necessary to summarize the domestic research findings systematically for greater accessibility. This review focuses on the results published in four Korean pharmaceutical journals between 1970 and 2018, which detail the botanical, phytochemical, and pharmacological properties of three Angelica species (A. gigas, A. sinensis, and A. acutiloba) used as “Dang-Gui” in Korea, China, and Japan.
Angelica ; Angelica sinensis ; Asia ; China ; Communication Barriers ; Herbal Medicine ; Japan ; Korea

The pharmacological effects of Angelicae Sinensis Radix from different producing areas are uneven. Accurate identification of its producing areas by computer vision and machine learning(CVML) is conducive to evaluating the quality of Angelicae Sinensis Radix. This paper collected the high-definition images of Angelicae Sinensis Radix from different producing areas using a digital camera to construct an image database, followed by the extraction of texture features based on the grayscale relationship of adjacent pixels in the image. Then a support vector machine(SVM)-based prediction model for predicting the producing areas of Angelicae Sinensis Radix was built. The experimental results showed that the prediction accuracy reached up to 98.49% under the conditions of the model training set occupying 80%, the test set occupying 20%, and the sampling radius(r) of adjacent pixels being 2. When the training set was set to 10%, the prediction accuracy was still over 93%. Among the three producing areas of Angelicae Sinensis Radix, Huzhu county, Qinghai province exhibited the highest error rate, while Heqing county, Yunnan province the lowest error rate. Angelicae Sinensis Radix from Minxian county, Gansu province and Huzhu county, Qinghai province were both wrongly attributed to Heqing county, Yunnan province, while most of those from Huzhu county, Qinghai province were misjudged as the samples produced in Minxian county, Gansu province. The method designed in this paper enabled the rapid and non-destructive prediction of the producing areas of Angelicae Sinensis Radix, boasting high accuracy and strong stability. There were definite morphological differences between Angelicae Sinensis Radix samples from Minxian county, Gansu province and those from Huzhu county, Qinghai province. The wrongly predicted samples from Minxian county, Gansu province and Huzhu city, Qinghai province shared similar morphological characteristics with those from Heqing county, Yunnan province. Most wrongly predicted samples from Heqing county, Yunnan province were similar to the ones from Minxian county, Gansu province in morphological characteristics.
Angelica sinensis ; China ; Databases, Factual ; Drugs, Chinese Herbal/analysis* ; Plant Roots/chemistry*

In order to discuss the "entropy weight method" for weighting various indicators in the comprehensive evaluation of Angelicae Sinensis Radix slices(ASR), the quality of ASR was comprehensively evaluated by entropy weight-based gray systematic theory and cluster analysis. In this study, the contents of ferulic acid, volatile oil, polysaccharide, alcohol extract, water extract, moisture, total ash and acid-insoluble ash in 44 batches of ASR from different sources were determined. The entropy weight method was used for objective weighting. With relative correlation(r_i) as a measure, a multi-index comprehensive evaluation model was constructed for the quality of ASR. The results showed that the relative correlation value of 44 batches of ASR ranged from 0.301 9 to 0.662 9. There were certain differences in the quality of ASR from different sources. The ASR S1-S8, traceable and standardized in processing techno-logy, showed a high relative correlation degree and high quality ranking, indicating that the implementation of systemic management of the production chain of Chinese herbal pieces was beneficial to the quality control of ASR. The quality evaluation results of 44 batches of ASR were consistent with those of traditional geo-authentic habitats for ASR and the mainstream varieties of ASR on market, and basically consistent with the results of cluster analysis. This study suggests that the gray systematic theory based on the entropy weighting method can be used for the quality evaluation of ASR. The objective weighting of the entropy weight method improves the reliability of the gray correlation method and the scientificity of ASR quality evaluation.
Angelica sinensis ; Drugs, Chinese Herbal ; Entropy ; Oils, Volatile ; Plant Roots ; Reproducibility of Results