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This article outlined the composition and species characteristics of Chinese materia medica(CMM) resources identified in the fourth national survey of CMM resources. The survey was conducted based on field investigations and office collation, adhering to the "four principles", which emphasized the existence of survey records, voucher specimens, actual photographs, and evidence of medicinal use, so as to summarize the species of CMM resources and ensure the scientific integrity and accuracy of the results. According to the results, China had a total of 18 817 CMM resources, including 15 321 medicinal plants, 826 medicinal fungi, 2 517 medicinal animals, and 153 medicinal minerals. Additionally, the fourth national survey of CMM resources also conducted specialized investigations on 3 151 species of unique medicinal plants, 464 species of rare and endangered medicinal plants, and 196 new species in China. These latest statistics on these CMM resources will provide the most up-to-date foundational data for the protection, management, development, and utilization of these resources over an extended period, offering scientific guidance for the development of the traditional Chinese medicine(TCM) industry.

The protection, development, and utilization of medicinal plant resources are important cornerstones of maintaining human health. However, due to factors such as the reduction of high-quality land resources, deterioration of ecological environments, and excessive and disorderly resource development, medicinal plant resources are becoming scarce, and some of them are insufficiently supplied. With the proposal of "the Belt and Road" Initiative, the cooperation between China and "the Belt and Road" partners(the countries and regions involved in "the Belt and Road" Initiative)is increasingly close, which provides a new opportunity for carrying out trade of medicinal plant resources and alleviating the problem of imbalance and relative inadequacy of medicinal plant resources in countries. This study first determined the distribution and species information of plant resources in countries and regions involved in "the Belt and Road" Initiative by investigating the database of plant distribution and that of medicinal plant resources. Then, according to the published data from the International Union for Conservation of Nature(IUCN) and the Convention on International Trade in Endangered Species of Wild Fauna and Flora(CITES), this study identified the rare and endangered medicinal plants and the medicinal plants under trade control in countries and regions involved in "the Belt and Road" Initiative and finally sorted out the list of potential medicinal plant resources in countries and regions involved in "the Belt and Road" Initiative that can be used by China. This data resource can not only be used for the overall protection of important endangered species but also scientifically guide the development and utilization of medicinal resources, providing guidance and a theoretical basis for the sustainable development of medicinal plant resources in countries and regions involved in "the Belt and Road" Initiative.

This article aims to investigate the effect of Zhuyu Pills on atherosclerosis and decipher the underlying mechanism. The mouse model of atherosclerosis was induced by a high-fat diet, and the total modeling period was 12 weeks. A total of 47 ApoE~(-/-) mice successfully modeled were randomized into 5 groups, including 10 in the model group, 9 in each of low-, medium-, and high-dose(130.54, 261.08 and 522.16 mg·kg~(-1)·d~(-1), respectively) Zhuyu Pills groups, and 10 in the atorvastatin calcium(10.40 mg·kg~(-1)·d~(-1)) group. In addition, 10 C57BL/6J mice were included as the normal group. The mice in the normal group and model group were administrated with an equal volume of sterile distilled water, and those in other groups with corresponding agents by gavage once a day for 12 weeks. At the end of drug intervention, the levels of total cholesterol(TC), triglyceride(TG), high-density lipoprotein cholesterol(HDL-C), and low-density lipoprotein cholesterol(LDL-C) were measured by the biochemical method. Hematoxylin-eosin(HE) staining was employed to observe the plaque distribution in the aortic region. The serum levels of pro-inflammatory cytokines tumor necrosis factor-α(TNF-α) and interleukin(IL)-6 in M1 macrophages and anti-inflammatory cytokines IL-13 and IL-4 in M2 macrophages were determined by enzyme-linked immunosorbent assay(ELISA). The expression levels of inducible nitric oxide synthase(iNOS) and arginase-1(Arg-1) were examined by immunofluorescence. Real-time fluorescence quantitative polymerase chain reaction(real-time PCR) was employed to measure the mRNA levels of peroxisome proliferator-activated receptor γ(PPARγ), nuclear factor-κB(NF-κB), Arg-1, and iNOS in the aorta. Western blot was employed to determine the protein levels of PPARγ and NF-κB in the aorta. The results showed that compared with the normal group, the modeling elevated the TC, TG, and LDL-C levels, lowered the HDL-C level, caused large area thickening of the aortic intima, elevated the TNF-α and IL-6 levels, lowered the IL-4 and IL-13 levels, down-regulated the mRNA and protein levels of PPARγ and Arg-1, and up-regulated the mRNA and protein levels of iNOS and NF-κB in the aorta(P<0.01). Compared with the model group, low-, medium-, and high-dose Zhuyu Pills and atorvastatin calcium lowered the TC, TG, and LDL-C levels, elevated the HDL-C level, reduced the plaque area in a concentration-dependent manner, lowered the TNF-α and IL-6 levels, elevated the IL-4 and IL-13 levels, up-regulated the mRNA and protein levels of PPARγ and Arg-1, and down-regulated the mRNA and protein levels of NF-κB and iNOS in the aorta(P<0.05 or P<0.01). In conclusion, Zhuyu Pills may play an anti-atherosclerosis role by regulating PPARγ/NF-κB signaling pathway, inhibiting the polarization of macrophages toward the M1 phenotype, promoting the polarization of macrophages toward the M2 phenotype, and improving the inflammatory microenvironment of macrophages.

In this study, visual-near infrared(VNIR), short-wave infrared(SWIR), and VNIR + SWIR fusion hyperspectral data of Polygonatum cyrtonema from different geographical origins were collected and preprocessed by first derivative(FD), second derivative(SD), Savitzky-Golay smoothing(S-G), standard normalized variate(SNV), multiplicative scatter correction(MSC), FD+S-G, and SD+S-G. Three algorithms, namely random forest(RF), linear support vector classification(LinearSVC), and partial least squares discriminant analysis(PLS-DA), were used to establish the identification models of P. cyrtonema origin from three spatial scales, i.e., province, county, and township, respectively. Successive projection algorithm(SPA) and competitive adaptive reweighted sampling(CARS) were used to screen the characteristic bands, and the P. cyrtonema origin identification models were established according to the selected characteristic bands. The results showed that(1)after FD preprocessing of VNIR+SWIR fusion hyperspectral data, the accuracy of recognition models established using LinearSVC was the highest, reaching 99.97% and 99.82% in the province origin identification model, 100.00% and 99.46% in the county origin identification model, and 99.62% and 98.39% in the township origin identification model. The accuracy of province, county, and township origin identification models reached more than 98.00%.(2)Among the 26 characteristic bands selected by CARS, after FD pretreatment, the accuracy of origin identification models of different spatial scales was the highest using LinearSVC, reaching 98.59% and 97.05% in the province origin identification model, 97.79% and 94.75% in the county origin identification model, and 90.13% and 87.95% in the township origin identification model. The accuracy of identification models of different spatial scales established by 26 characteristic bands reached more than 87.00%. The results show that hyperspectral imaging technology can realize accurate identification of P. cyrtonema origin from different spatial scales.

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Inner Mongolia autonomous region of China and Mongolia are the primary regions where Chinese and Mongolian medicine and its medicinal plant resources are distributed. In this study, 133 families, 586 genera, and 1 497 species of medicinal plants in Inner Mongolia as well as 62 families, 261 genera, and 467 species of medicinal plants in Mongolia were collected through field investigation, specimen collection and identification, and literature research. And the species, geographic distribution, and influencing factors of the above medicinal plants were analyzed. The results revealed that there were more plant species utilized for medicinal reasons in Inner Mongolia than in Mongolia. Hotspots emerged in Hulunbuir, Chifeng, and Tongliao of Inner Mongolia, while there were several hotspots in Eastern province, Sukhbaatar province, Gobi Altai province, Bayankhongor province, Middle Gobi province, Kobdo province, South Gobi province, and Central province of Mongolia. The interplay of elevation and climate made a non-significant overall contribution to the diversity of plant types in Inner Mongolia and Mongolia. The contribution of each factor increased significantly when the vegetation types of Inner Mongolia and Mongolia were broadly divided into forest, grassland and desert. Thus, the distribution of medicinal plant resources and vegetation cover were jointly influenced by a variety of natural factors such as topography, climate and interactions between species, and these factors contributed to and constrained each other. This study provided reference for sustainable development and rational exploitation of medicinal plant resources in future.

To realize the non-destructive and rapid origin discrimination of Poria cocos in batches, this study established the P. cocos origin recognition model based on hyperspectral imaging combined with machine learning. P. cocos samples from Anhui, Fujian, Guangxi, Hubei, Hunan, Henan and Yunnan were used as the research objects. Hyperspectral data were collected in the visible and near infrared band(V-band, 410-990 nm) and shortwave infrared band(S-band, 950-2 500 nm). The original spectral data were divided into S-band, V-band and full-band. With the original data(RD) of different bands, multiplicative scatter correction(MSC), standard normal variation(SNV), S-G smoothing(SGS), first derivative(FD), second derivative(SD) and other pretreatments were carried out. Then the data were classified according to three different types of producing areas: province, county and batch. The origin identification model was established by partial least squares discriminant analysis(PLS-DA) and linear support vector machine(LinearSVC). Finally, confusion matrix was employed to evaluate the optimal model, with F1 score as the evaluation standard. The results revealed that the origin identification model established by FD combined with LinearSVC had the highest prediction accuracy in full-band range classified by province, V-band range by county and full-band range by batch, which were 99.28%, 98.55% and 97.45%, respectively, and the overall F1 scores of these three models were 99.16%, 98.59% and 97.58%, respectively, indicating excellent performance of these models. Therefore, hyperspectral imaging combined with LinearSVC can realize the non-destructive, accurate and rapid identification of P. cocos from different producing areas in batches, which is conducive to the directional research and production of P. cocos.

Pseudostellaria heterophylla in large-scale cultivation needs to apply pesticides to control diseases, and non-standard use of pesticide may cause excessive pesticide residues in medicinal materials, increasing the risk of clinical medication. To accurately monitor the residual pesticides, this paper investigated the drug use during the process of P. heterophylla disease prevention in 25 P. he-terophylla planting enterprises or individual households in Guizhou province. It was found that there were 8 common diseases in P. he-terophylla planting, including leaf spot, downy mildew, virus disease, root rot, dropping disease, purple feather disease, white silk disease, and damping-off disease. Twenty-three kinds of pesticides were used in disease control, mainly chemical synthetic pesticides, accounting for 78.3%, followed by biological pesticides and mineral pesticides, accounting for 13.0% and 8.7%, respectively. The disease prevention and control drugs were all low-toxic pesticides, and there were no varieties banned in the Chinese Pharmacopoeia(2020 edition). However, the pesticides used have not been registered on P. heterophylla, and the excessive use of drugs was serious. The present monitoring of pesticide residues in P. heterophylla is mainly based on traditional pesticides such as organochlorine, organophosphorus, and carbamate, which does not effectively cover the production of drugs and had certain safety risks. It is suggested to speed up the research and registration of drug use in the production of P. heterophylla, increase the use of biological pesticides, and further improve the monitoring indicators of pesticide residues in combination with the actual production of drugs, so as to promote the high-quality development of P. heterophylla industry.

Based on the data of 56 kinds of diseases and drug use in 100 kinds of cultivated Chinese herbal medicines, this paper used frequency analysis method to count the types of diseases and their drug use characteristics, and systematically analyzed the status of drug registration and monitoring standards for disease prevention and control of Chinese herbal medicines. The results showed that 14 diseases such as root rot, powdery mildew, and drooping disease were common in the production of Chinese herbal medicines. Among the 99 pesticides reported, 67.68% were chemically synthesized, 23.23% were biological pesticides, and 9.09% were mineral pesticides. Among the reported pesticides, 92.93% of them were low toxic, with relative safety. However, 70% of the production drugs were not registered in Chinese herbal medicines, and the phenomenon of overdose was serious. The current pesticide residue monitoring standards does not match well with production drugs in China. Although the matching degree between Maximum Residue Limit of Pesticide in Food Safety National Standard(GB 2763-2021) and production drugs is more than 50%, there are few varieties of Chinese herbal medicines covered. The matching degree between Chinese Pharmacopoeia(2020 edition), Green Industry Standard of Medicinal Plants and Preparations(WM/T2-2004), and production drugs is only 1.28%. It is suggested to speed up the research and registration of Chinese herbal medicine production and further improve the pesticide residue limit standard combined with the actual production, so as to promote the high-quality development of Chinese herbal medicine industry.

Interdisciplinary integration is a major feature of current scientific and technological development and also an inherent demand of economic and social development. The classic works in traditional Chinese medicine(TCM), such as Huangdi's Internal Classic(Huang Di Nei Jing) and Shennong's Classic of Materia Medica(Shen Nong Ben Cao Jing), contain rich and distinctive geographic ideas about the origin of Chinese medicine and prescriptions. There are many TCM schools and the distribution of each school has obvious geographical characteristics. The difference in geographical space is a major factor causing the difference in schools. There have been records of drugs and places of origin in previous documents of the Han Dynasty. Many drug names in Shennong's Classic of Materia Medica begin with ancient country names or ancient place names, indicating that the compilers attached great importance to the relationship between drugs and places of origin. Doctors in the Tang Dynasty have realized that the quality of medicinal materials was closely related to the place of origin, and each place of origin had herbalists to support the harvesting. The national yearly harvested drugs were all distributed with the places of origin. In the Song Dynasty, there were more records about the origin of drugs than in the Tang Dynasty, and the drawings attached to the Materia Medica Arranged According to Pattern(Zheng Lei Ben Cao) were titled with the names of the origins. In the Jin and Yuan dynasties, the literature on Chinese materia medica inherited the relationship between the origin and quality of drugs and contained rich geographical views in the "medication method". In the Ming Dynasty, the literature on Chinese materia medica was the first to clearly label the Daodi origin, and recognized the differences in quality and application of drugs between different origins. In the Qing Dynasty, doctors realized that there were variations and differences in the origins of drugs used by doctors in different periods, and the problem of origin was one of the reasons for the ineffectiveness of drugs. During the period of the Republic of China, doctors also paid great attention to the relationship between the origin of drugs and the quality of drugs, and the changes in the origin of drugs. TCM and geography share a common philosophical foundation. To inherit and develop the experience of doctors in the past dynasties on the relationship between drugs and origins, it is necessary to combine "Chinese materia medica" with "geography" to carry out the research on the geography of Chinese medicine, conduct multidisciplinary integration, build a new way to inherit and innovate the essence of TCM, promote the connection between philosophy of Yi, medical science, pharmacology, and geography, better serve the production practice of TCM, and promote the solution of problems related to the development of the Chinese medicine industry.

In order to realize rapid and non-destructive identification of the origin of Gardeniae Fructus, a technical method based on hyperspectral imaging technology was established in this study. Spectral information of Gardeniae Fructus samples from eight production origins was acquired from visible NIR(410-990 nm, VNIR) and short wavelength NIR(950-2 500 nm, SWIR) bands based on hyperspectral imaging techniques. The average spectral reflectance within the region of interest was extracted and calculated using the ENVI 5.3 software, resulting in 1 600 sample data. The visible short wavelength infrared band(fused bands) spectral data covering the range 410-2 500 nm were obtained after combining the spectral data of VNIR and SWIR. Data were de-noised by five common preprocessing methods, including multivariate scatter correction, Savitzky-Golay smoothing, standard normal variate, first derivative(FD), and second derivative from VNIR, SWIR, and fused bands(VNIR+SWIR). Partial least squares discriminant analysis, linear support vector classification(LinearSVC), and random forest were used to establish the model for origin identification of Gardeniae Fructus. The results indicated that the identification model of Gardeniae Fructus origin established after FD pretreatment of the spectral data in the fused bands could yield good results. According to the confusion matrix evaluation results, the model prediction set using LinearSVC reached 100% accuracy, so the optimum identification model of Gardeniae Fructus origin was determined as fusion bands-FD-LinearSVC. Therefore, the hyperspectral imaging technology can achieve rapid, nondestructive, and accurate identification of Gardeniae Fructus samples of different origins, which provides a technical reference for the differential detection of Gardeniae Fructus and other Chinese medicines.

Panax notoginseng is a perennial Chinese medicinal plant, which has serious continuous cropping obstacles and is prone to a variety of diseases and insect pests during the growth process. At present, the prevention and control of pests and diseases is mainly carried out through chemical pesticides, and the consequent pesticide residues of P. notoginseng have attracted much attention. This study reviewed the types and detection methods of pesticide residues in P. notoginseng from 1981 to 2021, and compared the limits of pesticide residues in P. notoginseng in China and abroad to provide a reference for rational application of pesticides in P. notoginseng and quality control of medicinal materials, thereby promoting the sustainable development of the P. notoginseng industry in China. Currently, there are only 40 published papers on pesticide residues of P. notoginseng, which is indicative of a serious problem of insufficient research. At present, hundreds of pesticide residues in P. notoginseng can be detected simultaneously by using chromatography-tandem mass spectrometry. The pesticides detected have gradually changed from early prohibited ones, such as dichlorodiphenyl trichloroethane(DDT), benzene hexachloride(BHC), and parathion, to low toxic ones(e.g., dimethomorph, procymidone, propicona-zole, and difenoconazole). The dietary risk from pesticide residues in P. notoginseng is low, which would not cause harm to consu-mers. This study concluded that in the future, the development of the quality standard for pesticide residues of P. notoginseng should be actively carried out. To increase the pesticides used in actual production in the quality standard based on the existing ones and to guide farmers to use pesticides scientifically will be the focus of future work.

Panax ginseng, a perennial herb, is prone to diseases and insect pests in the growth process, which are primarily prevented and treated by pesticides. However, due to the lack of standardization in the types, frequencies, and doses of pesticides, pesticide residues have become the main exogenous pollutants of P. ginseng. To explore the risk of pesticide residues in P. ginseng, this paper summarized and analyzed the common pesticide residues in P. ginseng, detection techniques, and pesticide residue limit stan-dards based on the published literature in recent years. The results revealed that the main pesticide residues in P. ginseng were organochlorine pesticides, such as tetrachloronitrobenzene, pentachloronitrobenzene, and hexachlorobenzene, and the detection techniques were dominated by gas chromatography(GC), liquid chromatography(LC), or those combined with mass spectrometry(MS). Because of the long half-life and difficulty in degradation, organochlorine pesticides have become the main factor affecting the export of P. ginseng. It is worth mentioning that P. ginseng has been classified as food in Japan, South Korea, the European Union, and other countries, and the standards of pesticide residues and limits are stricter than those in China. The quality and safety of P. ginseng are prerequisites for the efficacy of Chinese medicine and the development of traditional Chinese medicine. The formulation of scientific and effective standards for pesticide application and limits would promote the high-quality development of the P. ginseng industry.

Lonicera Japonica Flos is the dried bud or nascent flower of Lonicera japonica(Caprifoliaceae). The plant suffers from various diseases and pests in the growth period and thus pesticides are often used. As a result, the resultant pesticide residues in Lonicera Japonica Flos have aroused great concern. This review summarized the investigation, detection methods, content analysis, and risk assessment of pesticide residues in Lonicera Japonica Flos since 1996, and compared the maximum residue limits among different countries and regions. The results showed that the pesticide residues were detected in Lonicera Japonica Flos from different production areas, and only some exceeded the limits. The residual pesticides have changed from organochlorines to new types such as tebuconazole and nitenpyram. The detection method has upgraded from chromatography to chromatography-mass spectrometry. Most pesticide residues will not cause health risks, except carbofuran. Pesticide residues limit the development of Lonicera Japonica Flos industry in China. In practice, we should improve the drug registration of Lonicera Japonica Flos, promote ecological prevention and control technology, and formulate and promote pesticide residue limit standard of Lonicera Japonica Flos.

Panacis Quinquefolii Radix is the dry root of Panax quinquefolium, which is a perennial plant of Araliaceae. The plant has a long growth cycle and serious growth barrier problem, which leads to the use of pesticides. As a result, the pesticide residues in Panacis Quinquefolii Radix are arousing great concern. This paper reviews the research findings on the investigation, detection methods, content analysis and risk assessment of pesticide residues in Panacis Quinquefolii Radix since 1993, and compares the pesticide residue limit standards of different countries and regions. The pesticide residues in Panacis Quinquefolii Radix have been changing from organochlorines with high toxicity to triazines and triazoles with low toxicity. The pesticide residues are generally low, while the pollution of pentachloronitrobenzene and other pesticides still exist. The detection method has evolved from chromatography to chromatography-mass spectrometry. There are no reports of health risks caused by pesticide residues of Panacis Quinquefolii Radix. Pesticide residue is a major factor restricting the sound development of Panacis Quinquefolii Radix industry in China. Therefore, we suggest to improve the registration of pesticides applied to the plant, popularize mature ecological planting mode and supporting technology, and strengthen the research on the risk assessment and limit standard of pesticide residue in Panacis Quinquefolii Radix.

The present study counted the frequency of detection technologies and monitoring frequency of pesticide species by frequency analysis based on the 28 258 pieces of data on pesticide content of Chinese medicinal materials in CNKI, calculated the detection rate and exceeding rate of different types of pesticides, and systematically analyzed the pesticide residue pollution of Chinese medicinal materials. The results showed that there were 40 types of pesticides with detection rates higher than 10%, where new pesticides such as organochlorines and nicotine accounted for 55%, and organic phosphorus, pyrethroids, and carbamates accounted for 17.5%, 15.0%, and 12.5%, respectively. Seventeen types of pesticides exceeded the standard to varying degrees, including 12 types(70.59%) with exceeding rates not higher than 5%, four types(23.53%) with exceeding rates in the range of 5%-10%, and one type(5.88%) with an exceeding rate higher than 10%. As revealed by the analysis results of the past five years, the pesticide residue pollution of Chinese medicinal materials showed a downward trend. Compared with the conditions at worst, organochlorines decreased by about 2/3 in detection rate and 47.23% in exceeding rate, carbamates by about 1/2 in detection rate and 10.78% in exceeding rate, organic phosphorus by 3/4 in detection rate and 7.22% in exceeding rate, pyrethroids by 1/2 in detection rate and 11.05% in exceeding rate, and other types by about 1/2 in detection rate but not exceeded the standard. In general, pesticide residues in Chinese medicinal materials and safety have been significantly improved. However, pesticide residues are still important factors affecting the quality and safety of Chinese medicinal materials. It is suggested to further improve the control standards of pesticide residues in Chinese medicinal materials, strengthen the monitoring of pesticides used in practical production, and promote the ecological planting mode to facilitate the high-quality development of the Chinese medicinal material industry.

Carbon dioxide peaking and carbon neutrality have become hot issues of political and economic activities in China and abroad. The structure and development of various industries in China will be profoundly affected in the process of accomplishing "Dual Carbon" goals. Eco-agriculture of Chinese medicine(EACM) highlights the balance and sustainable development of the ecosystem while producing high-quality medicinal materials. With chemically synthesized fertilizers, pesticides, and growth regulators prohibited, EACM emphasizes the recycling of agricultural and sideline products and the reduction of waste output, which results in the minimal negative impact on the ecological environment. Therefore, it is typical agriculture with low-carbon sources and high-carbon sinks. This study reviewed the mechanism and potential of EACM in carbon dioxide peaking and carbon neutrality, analyzed the specific ways of EACM in reducing carbon sources and increasing carbon sinks based on the typical ecological planting pattern, and proposed the point of view to strengthen EACM as well as the "Dual Carbon" theory and research methods, so as to direct low-carbon and efficient deve-lopment. Furthermore, this study advocated to comprehensively promote the transformation of Chinese medicine production from chemical agriculture to eco-agriculture to improve the comprehensive benefits of contribution rate of carbon neutrality, explore and establish carbon sink compensation mechanism to ensure the sustainable and healthy development of EACM, and strengthen the training of EACM and "Dual Carbon" theory and technologies to continuously improve the capacity of EACM in sustainable development. This study is expected to provide a reference for the development of ecological functions in EACM and the development of economic functions through ecological functions.

Lancang-Mekong Cooperation is a new type of subregional cooperation mechanism initiated and built by China and other five countries of the Lancang-Mekong subregion, namely Laos, Myanmar, Thailand, Cambodia, and Vietnam. Countries in the Lancang-Mekong subregion are geographically and culturally connected, and they have nurtured their unique traditional medicine. By combing the history of traditional medicine exchanges between China and other Lancang-Mekong countries and their progress of modern research, this paper summarized the challenges and opportunities of traditional medicine cooperation in the Lancang-Mekong subregion. It has been found that many regional cooperation mechanisms coexist for a long time in the Lancang-Mekong subregion and the medicinal resources are abundant. However, the degree of their development and utilization varies, and modern scientific research is insufficient. Lancang-Mekong Cooperation has provided a strong support for integrating the advantageous resources in Lancang-Mekong subregion countries and making progress together. Focusing on the development and protection of medicinal resources, this paper puts forward a new path of cooperation in the intellectual property rights and characteristic seed resource protection, the compilation of universal herbal pharmacopoeia in various countries, the research and development of public health products, and the construction of traditional herbal industry bases, thus enabling the traditional medicine to better protect the public health and building a human health community.

The sustainable use of medicinal plants is the foundation of the inheritance of traditional Chinese medicine(TCM) and the acquisition of information on medicinal plants is the basis for the development of TCM. The traditional methods of investigating medicinal plant resources are disadvantageous in strong subjectivity and poor timeliness, making it difficult to real-time monitor medicinal plant resources. In recent years, remote sensing technology has become an important means of obtaining information on medicinal plants. The application of this technology has made up for the shortcomings of traditional methods. The open-access remote sensing data with medium spatial resolution satellites provide an opportunity for extracting information on medicinal plant resources. This study firstly introduced the principles of remote sensing technology, summarized the satellites and the parameters commonly used in the field of medicinal plant resources, and compared the survey methods of remote sensing technology with traditional methods. Secondly, it reviewed the applications of remote sensing technology in the extraction of information on the cultivation of medicinal plants and the common methods for extracting the planting structure information of medicinal plants based on remote sensing technology. Thirdly, the applications of remote sensing technology in the investigation and monitoring of medicinal plants were further analyzed with the research objects divided into wild and cultivated medicinal plants according to the characteristics of the habitats. Finally, it pointed out the key unsolved technical problems in the remote sensing monitoring of medicinal plant resources, and proposed solutions for the intelligent information processing of medicinal plants based on remote sensing big data, which is expected to provide references for the development of remote sensing technology in derivative application in medicinal plant resources.

Chinese materia medica( CMM) serves as an important cornerstone for the development of traditional Chinese medicine( TCM) culture and industry due to its unique ecological,medical,economic,scientific and technological,and cultural values. The supply shortage and unstable quality of some CMM resources have hindered the development of TCM. Ensuring the sustainable use of CMM resources has become essential for the development of TCM in China. Enriching CMM resources is the key to ensuring the sustainable utilization of TCM resources in China,which can be achieved via expanding the medicinal parts,developing the substitutes,seeking for analogues,exploring the ethnic and folk medicines,or introducing foreign medicinal materials. CMM efficacy or function positioning plays a very important role in the transformation of new CMM resources. The strategies and methods for efficacy or function positioning of new CMM resources,including analogy,plant genetic relationship exploration,medicinal property deduction,ethnobotanical investigation,text mining,network pharmacology,and structure-activity relationship exploration,were systematically proposed in this study based on CMM theory,textual research,and modern methodologies. This paper is expected to provide a theoretical reference for the continuous enrichment and development of CMM resources and the high-quality development of TCM culture and industry.

Based on the investigation of wild medicinal plant resources in Dexing city, Jiangxi province, and the collected plant specimens, which were identified by taxonomy, two new record species of geographical distribution were found, which are Meehania zheminensis A. Takano, Pan Li & G.-H. Xia and Corydalis huangshanensis L.Q.Huang & H.S.Peng. The voucher specimens are kept in Dexing museum of traditional Chinese medicine. In this paper, the new distribution species were reported, which provides valuable information for further enriching and supplementing the species diversity of medicinal plant resources in Jiangxi province.

Dabie Mountain in Anhui province is a genuine producing area of Poria cocos, commonly known as Anling. Jinzhai county in Anhui province is a traditional producing area of P. cocos, and it is also a key county for poverty alleviation in Dabie Mountains. Poverty alleviation of traditional Chinese medicine producing area is an important measure to implement the major strategic deployment of the central government. The planting of P. cocos is helpful to promote the development of traditional Chinese medicine industry in Dabie Mountains and help poverty alleviation. P. cocos is a saprophytic fungus with special demands on soil and ecological environment, and its planting appears a scattered and irregular distribution. Traditional investigation methods are time-consuming and laborious, and the results are greatly influenced by subjective factors. In order to obtain the suitable planting area of P. cocos in Jinzhai county, according to the field survey, the research team has explored the regional, biological characteristics and cultivation methods of P. cocos in the county, and obtained the altitude distribution area suitable for the growth of P. cocos. Then, the MaxEnt niche model was used to analyze the relationship between ecological factors and distribution areas, and the potential distribution zoning of P. cocos in Jinzhai county was studied. Combined with the characteristics of P. cocos planting pattern, taking ZY-3 remote sensing image as the data source, the maximum likelihood method was used to extract the area that could be used for P. cocos cultivation in Jinzhai county, and the reason why artificial planting P. cocos was mainly distributed in the west of Jinzhai county was analyzed. The suitable regional classification of P. cocos in Jinzhai county was obtained by superposition of suitable altitude distribution area, MaxEnt analysis and area extracted from remote sensing image, which provided data support for the planting planning of P. cocos in Jinzhai county.

Polygonatum cyrtonema is a famous bulk medicinal material which is the medicinal and edible homologous. With the implementation of the traditional Chinese medicine industry to promote precise poverty alleviation, the planting area of P. cyrtonema in Jinzhai is becoming larger and larger in recent years. Jinzhai is located in the Dabie Mountainous area, which is the largest mountain area and county in Anhui Province. The cultivation of P. cyrtonema is scattered, and the traditional Chinese medicine resources investigation is not only inefficient and accurate. In this study,the "Resource 3"(ZY-3) remote sensing image was used as the best observation phase,and the method of support vector machine classification was used. The method of parallelepiped, minimum distance, mahalanob is distance, maximum likelihood classification and neural net were used to classify and recognize the P. cyrtonema in the whole region. In order to determine the accuracy and reliability of classification results, the accuracy of six supervised classification results was evaluated by confusion matrix method, and the advantages and disadvantages of six supervised classification methods for extracting P. cyrtonema field planting area were compared and analyzed. The results showed that the method of support vector machine classification was more appropriate than that using other classification methods. It provides a scientific basis for monitoring the planting area of P. cyrtonemain field.

Based on the results of the fourth national survey of traditional Chinese medicine resources in Turpan city, Xinjiang, this study counted the types of traditional Chinese medicine resources in Turpan Basin. The spatial distribution differences of traditional Chinese medicine resources in Turpan Basin of Xinjiang were analyzed by using grid technology, trend surface analysis, global spatial autocorrelation analysis, and local spatial autocorrelation analysis, so as to clarify the overall change trend and aggregation degree of traditional Chinese medicine resources in Turpan Basin in horizontal and vertical directions. The results showed the following: in the horizontal direction, the species richness of traditional Chinese medicine resources in the central part of Turpan Basin was high, and there were great differences in the species richness of traditional Chinese medicine resources in Turpan Basin under different grid sizes. The spatial scale effect of the richness of traditional Chinese medicine resources in Turpan Basin is obvious. Among them, under the 30 km×30 km scale, the richness of the types of Chinese medicine resources shows a high spatial correlation, and the richness of the types of Chinese medicine resources at 5 km×5 km scale presents a near random distribution state, and the richness of the types of Chinese medicine resources at 80, 90, and 100 km scale sits negatively related. Vertical direction, Chinese medicine resources appear rich at the range of-154-150 m and 900-1 050 m following by range of 1 050-1 200 m.

Identification of Chinese medicinal materials is a fundamental part and an important premise of the modern Chinese medicinal materials industry. As for the traditional Chinese medicinal materials that imitate wild cultivation, due to their scattered, irregular, and fine-grained planting characteristics, the fine classification using traditional classification methods is not accurate. Therefore, a deep convolution neural network model is used for imitating wild planting. Identification of Chinese herbal medicines. This study takes Lonicera japonica remote sensing recognition as an example, and proposes a method for fine classification of L. japonica based on a deep convolutional neural network model. The GoogLeNet network model is used to learn a large number of training samples to extract L. japonica characteristics from drone remote sensing images. Parameters, further optimize the network structure, and obtain a L. japonica recognition model. The research results show that the deep convolutional neural network based on GoogLeNet can effectively extract the L. japonica information that is relatively fragmented in the image, and realize the fine classification of L. japonica. After training and optimization, the overall classification accuracy of L. japonica can reach 97.5%, and total area accuracy is 94.6%, which can provide a reference for the application of deep convolutional neural network method in remote sensing classification of Chinese medicinal materials.

This article is based on basic data such as field surveys and literature surveys, contrasting and analyzing the distribution of Callicarpa nudiflora by different zoning methods, different data sources, and different spatial scales. The results showed that there were certain differences in the distribution results obtained by using different methods, such as qualitative description, similar ecological environment, and niche model, to divide the distribution of the C. nudiflora, but all of them could reflect the distribution of C. nudiflora to different degrees. Among them, the qualitative description division method has certain advantages in macro guidance in a large scale. The distribution range obtained by the ecological environment similar division method is wider than that obtained by applying the qualitative description method and the niche model method. The results of the zoning of the distribution of the C. nudiflora obtained from different data sources were different. The number and representativeness of the survey data have an impact on the zoning results. Through the analysis of the distribution of different spatial scales, the ecological factors and contribution rates that affect the distribution of C. nudiflora are different in China and in the world. The comprehensive multi-source data analysis showed that C. nudiflora mainly distributed in southern coastal provinces such as Hainan, Guangdong, Guangxi and Fujian in China, and also in Jiangxi, Guizhou, Yunnan, Sichuan, Chongqing, Hunan, Gansu, Taiwan and other provinces. Globally, C. nudiflora are suitable for distribution in Southeast Asia, such as China, Vietnam, Laos, Myanmar, India, etc. There are also potential distribution areas in the southern United States and Mexico.

Using the 260 geographical distribution records of Polygonatum cyrtonema in China, combined with 53 environmental factors, the maximum entropy modeling(MaxEnt) was used to study the ecological factors affecting the suitability distribution of P. cyrtonema. The ArcGIS software was used to predict the potential distribution of the population of P. cyrtonema. The dominant factors were chosen by using the Jackknife test and the Receiver Operating Characteristic(ROC) curve was used to evaluate the simulation. The results showed that high value of area under curve(AUC) denoted good results, which significantly differed from random predictions. Based on the evaluation criterion, the accuracies of the predictions of P. cyrtonema potential distribution in the current periods were excellent. The main environmental factors affecting the suitable growth of P. cyrtonema were the monthly precipitation, the wettest monthly precipitation, the annual average temperature range and the precipitation of November, March, February, April, May and October. There are 9 environmental factors in soil type. The potential fitness of P. cyrtonema in China is high, mainly concentra-ted in Hunan, western Hubei, Guangdong, northeastern Guangxi, southeastern Guizhou, Jiangxi, southwestern Anhui, Fujian, Zhejiang, Shaanxi, southwestern Henan and Chongqing. The growth distribution of the potential distribution area of P. cyrtonema was divided, and the zoning map of the growth suitability of P. cyrtonema was formed. Through the comparative analysis of the potential distribution range based on MaxEnt and the distribution range of literature records, the understanding of the distribution range of P. cyrtonema was expanded.

Dao-di herbs are an important part of clinical medicine in traditional Chinese medicine. They are also precious wealth left to human beings from history, which contain deep traditional Chinese cultural connotations and play an important role in supporting and serving the Chinese medicine business. The relevant policy documents introduced by various national ministries and commissions have many contents and requirements related to the promotion of Dao-di herbs protection and industrial development. Due to the Dao-di herbs industry has a series of characteristics, such as a long chain, many involved links, long cycles, multiple production entities, multiple locations, and various types, the high-quality development of the industry has put forward higher requirements on the linkage between upstream and downstream, production entities, traceability of the whole process and information sharing. This article takes Dao-di herbs certification work as an application scenario and entry point, and discusses it from the perspective of block chain and information technology. It proposes the following work ideas: establish multi-party consensus from the macro-organizational management, business, and operational technical levels, and unblock channels for data and information, to achieve institutionalization of certification; establish certification-related standards and specifications to achieve certification standardization; build a certification hardware system to achieve certification networking; build a certification software system to develop functions for specific information content such as identity, origin, production, production process, quality, product and brand of authentic medicinal material production interactively, and realize certification programmatic; data security and sharing of related production activities to achieve socialization of certification. Make full use of modern technologies such as blockchain, the internet of things, big data and information technology, and through the joint participation of management, production, use and the public, the whole process information of Daodi herbs is integrated to form an interconnected information sharing application mode, thus, to serve and promote the high-quality development of Dao-di herbs industry.

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.

Due to the large amount of Codonopsis pilosula planted in Weiyuan county,and the arable land area,the local medicinal materials office uses a large amount of manpower,financial resources and material resources to estimate its area every year. In order to extract the information of local Chinese medicinal materials more quickly and simply,we try to apply remote sensing technology to the extraction of Chinese medicinal materials. This paper will use Weiyuan county of Gansu province as the research area,and use the domestic ZY-3 Satellite multi-spectral remote sensing image as the data source to find out the spectral characteristics of the party's participation in other remote sensing images. The visual interpretation method was used to extract the planting area of the C. pilosula in Weiyuan county. The estimated value of the planting area of C. pilosula using satellite remote sensing technology was 75 965 mu( 1 mu≈667 m 2 ),which was basically consistent with the field survey data of the local medicinal materials office. After the accuracy verification,it was found that the precision of C. pilosula planted by visual interpretation was more than 70%. It is concluded that the satellite remote sensing technology can be used to extract the information of C. pilosula and it can provide the relevant information of the planting area of Chinese medicinal materials quickly and accurately.

Taking the Xiushui township of Baisha county in Hainan province as the research area,the random forest algorithm with obvious advantages in feature selection and classification extraction was used to extract the information of the Callicarpa nudiflora planting in the study area. Firstly,four kinds of different characteristic variables were generated based on World View-3 data,including spectral features,principal component features,vegetation index and texture features. Secondly,the spatial distribution of the C. nudiflora in the study area was extracted by remote sensing by random forest classification algorithm. Finally,the feature space of the random forest classification algorithm was optimized based on the feature importance to obtain the best random forest classification results,and this result is compared with the classification result of the random forest algorithm of the unoptimized feature space. The results showed that:①The overall accuracy of the C. nudiflora extracted by World View-3 image was 89. 97%,and the Kappa coefficient was 0. 84,which indicates that the random forest algorithm had higher classification accuracy and better applicability in Hainan C. nudiflora recognition.② The overall accuracy of extracting C. nudiflora with the dimension reduction feature was 90. 4,and the Kappa coefficient was 0. 85,which indicates that the random forest algorithm can effectively select features. At the same time as the feature variable data mining,the precision of the information extraction of the C. nudiflora was still guaranteed,and the operation efficiency was improved. This study provides a new idea,method and technical means for information extraction of cultivated medicinal plant resources in terms of feature selection and method selection.

In order to comprehensively monitor the dynamic change of Paeonia lactiflora planting area,the investigation of P. lactiflora planting area in Dangshan was carried out. It can provide reference for the planting detection of P. lactiflora in Huaibei Plain.Based on remote sensing technology,this paper extracts the planting area of P. lactiflora in Dangshan in 2018 by using the minimum distance method,maximum likelihood method,parallel hexahedron method and Mahalanobis distance method,using the remote sensing image of ZY-3 Satellite as the data source,and makes a comparative analysis with the results. The results show that the maximum likelihood method is better than the other three methods. This method can provide reference for remote sensing monitoring of P. lactiflora planting area in China.

Traditional Chinese medicine is planted in mountainous areas with suitable natural conditions. The planting area is complex in terrain,and the planting plots are mostly irregularly shaped. It is difficult to accurately calculate the planting area by traditional survey methods. The method of extracting Chinese herbal medicine planting area combined with remote sensing and GIS technology is of great significance for the rational development and utilization of traditional Chinese medicine resources. Taking Bletilla striata planting in Ningshan county of Shaanxi province as an example,the extraction method of planting area of traditional Chinese medicine in county was studied. High-resolution ZY-3 and GF-1 multi-spectral multi-temporal remote sensing images were used as data sources. Through field sampling,samples such as B. striata,cultivated land,forest land,water body,artificial surface,alpine meadow,etc. are collected. The spectral features,texture features and shape features of remotely identifiable objects in different planting areas and cultivated land,vegetable sheds were analyzed,confusing ground objects were eliminated and interpretation marks were establish. The method of visual interpretation is used to realize the extraction of B. striata planting areas,and the B. striata planting area are calculated by combining GIS technology. The results showed that the method of visual interpretation,using high-resolution ZY-3 and GF-1 multi-spectral multi-temporal remote sensing image data extracted the planting area of 403.05 mu. It can effectively extract the B. striata planting area in research region.

The planting area of Chinese medicinal materials is an important basis for formulating policies such as production and poverty alleviation of Chinese medicinal materials and is determining the quantity of medicinal materials trade. Accurately mastering the information of the distribution,area and yield of Chinese medicinal materials cultivation is the basis of the adjustment of the planting structure of traditional Chinese medicine. It is now the largest planting place of Mongolian traditional Chinese medicinal materials in Naiman banner that is belonging to Tongliao city,Inner Mongolia. It is of great significance to obtain the planting area of Mongolian Chinese medicinal materials in Naiman banner in time and effectively for the development of subsequent industries. In this study,Saposhnikovia divaricata,a medicinal plant planted in Naiman banner,was selected as an example,and the fusion 2 m resolution ZY-3 remote sensing image was used as the data source. Based on the ground survey data,the sample data of each typical ground object were selected,and the spectral characteristic curves of different ground objects were obtained,and the S. divaricata spectral information was obtained. Using the filtering texture analysis method based on probability statistics,five kinds of texture image display results under different texture filtering were compared and analyzed,and finally the S. divaricata texture features based on information entropy are determined. The distribution range and planting area of S. divaricata in Naiman banner were extracted and interpreted by using the texture and spectral information of remote sensing images. The results showed that: S. divaricata was mainly distributed in the northeast and central south of Naiman banner,and the planting area was 5 336 mu( 1 mu≈667 m 2 ). The field verification data were in good agreement with the remote sensing interpretation results,and the difference was small. It shows that the combination of spectral information and texture information can realize the discrimination of S. divaricata,and the interpretation results can provide a reference for the county to formulate the poverty alleviation action of Chinese medicinal material industry and the economic development plan of agricultural producing areas.

The dried roots of Panax ginseng are used as medicines. In this paper,multi-time satellite sensing image data are used for image registration by radiometric correction,atmospheric pressure correction,the data of different years were compared. The multiscale segmentation of the sensing image was successively carried out by using object-oriented method. Combining with the characteristics of the sensing image participated in the field survey,the objective was to understand the speckles of the environmental parameters distribution map of Changbai county in 2017 and 2018. The parameter area of Changbai county was calculated by using GIS spatial analysis tools. The union,erase and intersect tools of " analysis to OLS" overlay in " Arc Toolbox" were used to analyze the parametric area of Changbai county from 2017 to 2018. The results showed that the parameter area of Changbai county in 2017 was 27 400 mu( 1 mu≈667 m 2 ),and the parameter area in 2018 was 13 900 mu. The parameter area of the new park in Changbai County in 2018 was 12 500 mu,and the harvested area in 2017 was 27 000 mu. Through the analysis and study of the regional change of the park participating in the training area,it has significance for guiding the park participating in the actual production planning and layout in Changbai county in the next step.

The study is aimed to effectively obtain the planting area of traditional Chinese medicine resources. The herbs used as the material for traditional Chinese medicine are mostly planted in natural environment suitable mountainous areas. The UAV low altitude remote sensing data were used as the samples and the GF-2 remote sensing images were applied for the data source to extract the planting area of Salvia miltiorrhiza and Artemisia argyi in Luoning county combined with field investigation. Remote sensing satellite data of standard processing obtain specific remote sensing data coverage. The UAV data were pre-processed to visually interpret the species and distribution of traditional Chinese medicine resources in the sample quadrat. Support vector machine( SVM) was used to classify and estimate the area of traditional Chinese medicine resources in Luoning county,confusion matrix was used to determine the accuracy of spatial distribution of traditional Chinese medicine resources. The result showed that the application of UAV of low altitude remote sensing technology and remote sensing image of satellite in the extraction of S. miltiorrhiza and other varieties planting area was feasible,it also provides a scientific reference for poverty alleviation policies of the traditional Chinese medicine Industry in local areas.Meanwhile,research on remote sensing classification of Chinese medicinal materials based on multi-source and multi-phase high-resolution remote sensing images is actively carried out to explore more effective methods for information extraction of Chinese medicinal materials.

Moutan Cortex is one kind of famous medicinal materials. The dry root bark of Paeonia ostii which is a genuine medicinal material produced in Tongling,Anhui province,and later was introduced to Heze,Shandong province and Bozhou,Anhui province.Dangshan county is located at the northern end of Anhui province and adjacent to Shandong province. Its medicinal seedlings were came from Heze,Shandong province. At present,there is a lack of scientific investigation on the planting area of P. ostii in north China plain. On the basis of field investigation and remote sensing technology,through the data source provided by the remote sensing image of " Resources 3"( ZY-3),combined with the biological characteristics of P. ostii,the planting area of P. ostii in Dangshan county was extracted by field investigation and supervisory classification. The supervise classification method with the highest interpretation accuracy so far,the overall accuracy was 97. 81%,Kappa coefficient 0. 96. The results showed that the remote sensing classification method based on the maximum likelihood classification could extract P. ostii plots in the study area effectively. This study provides a scientific basis for the protection and rational utilization of traditional Chinese medicine resources,the development policy of traditional Chinese medicine industry and the long-term development plan in Dangshan county,and provides technical support for the poverty alleviation of traditional Chinese medicine industry in Dangshan county. It provides scientific reference for the application of remote sensing technology to investigate the planting area of P. ostii in in north China plain.

With digital satellite remote sensing image data of GF-1,in 2018 the object-oriented classification method was used to extract Zizyphus jujuba planting area in Jia county of Shaanxi province. The results showed that the remote sensing classification method based on rule set could extract and reckon Z. jujube planting area in the study area effectively. The planting area of Z. jujube in Jia county was about 5. 34×104 hm2 and the area of consistent accuracy was 97. 92%. The method used in this study could provide a technical reference for the area extraction of the same type of medicinal materials. And it is of great significance to provide decision support for the protection and utilization of Z. jujube resources.

In order to solve the problem of manual area measurement,the traditional methods of medicinal planting area statistics are difficult to meet the needs of rapid area survey application. This paper uses the UAV remote sensing method with the advantages of unmanned,automatic,high efficiency,high score and short production cycle to monitor the shape of Callicarpa nudiflora. A solution for aerial photography,image data acquisition and data processing of drones were designed for characteristics and planting conditions. After data processing and statistical analysis,detailed information on the location and area of the C. nudiflora in the target area was obtained. Then the accuracy comparison analysis was carried out with the measured results of the C. nudiflora. The results show that the UAV is feasible for the monitoring of C. nudiflora,and has a good application prospect in the monitoring of Chinese herbal medicine planting.

In recent years,with deepening research on the division of traditional Chinese medicine,the application of new technologies and new methods have provided support for the division of traditional Chinese medicine. Some relevant scholars have carried out researches on the distribution of some Chinese herbal medicines based on different methods. In this paper,for the same kind of Chinese herbal medicine under different data conditions,we studied the distribution of Polygoni Multiflori Radix by different methods such as qualitative description,similar ecological environment and niche model,and compared the similarities and differences between the distribution results of the same Chinese medicine resources based on different data and methods. The results showed that with the restriction of the researcher's understanding of Chinese herbal medicines and related background data,the zoning results were also in various forms,and there might also be some differences between different zoning results. But in the macroscopic layer,they could reflect the distribution range of Chinese herbal medicines,and they have certain application values to some extent. For example,the study focused on the ancient and modern data and found that with the continuous enrichment of data and information,the understanding of the distribution of Polygoni Multiflori Radix gradually expanded from the southeast coast to the central and southwestern regions to the northwest.But the number of Polygoni Multiflori Radix in the western and northern regions is relatively small than the southeastern regions. The results of relevant zoning can provide scientific basis for carrying out the rational cultivation of Polygoni Multiflori Radix.

Lycii Fructus is a commonly used Chinese herbal medicine. Due to limited wild resources,Lycii Fructus is mainly derived from the cultivation of Lycium barbarum when it circulate in the market. Related studies have shown that there are some differences in the quality of Lycii Fructus from different regions. In August 2017,our research team went to the county areas of Ningxia,Gansu,Qinghai,Xinjiang and Inner Mongolia,which included 13 counties and planted L. barbarum. The county areas obtained 71 batches of samples. According to the content of four chemical components of polysaccharides,protein,vitamins and naringin in 71 batches,the quality of zoning was studied by SPSS and Arc GIS. The results showed that there were significant differences in the contents of polysaccharides,protein,vitamins and naringin in the sampling area. Among them,the vitamin content in Inner Mongolia was relatively high. The content of polysaccharide in Xingjiang was relatively high,the protein content of Ningxia was relatively high. The content of naringin in Inner Mongolia was relatively high. The quality of Lycii Fructus from different producing areas requires a comprehensive evaluation of multiple indicators. Through the analysis of the four chemical components and the eco-environmental factors,the chemical composition with high percentage of percentage content is affected by climatic factors,and the chemical composition with low proportion is greatly affected by soil factors. The literatures such as " Chinese Flora" are mostly recorded that L. barbarum are planted in the northwest and south central areas. There is no record of artificial planting L. barbarum in the northeast region. Through this study,it is found that Liaoning and Jilin province also have a small amount of L. barbarum cultivated. The result shows that in the middle temperature zone and warm temperature zone there are also the cultivation of L. barbarum.

The study aims at evaluating genetic diversity and medicinal quality of cultivated germplasm in Rehmannia glutinosa, and providing theoretical guidance for screening excellent germplasm. The genetic diversity of 21 species of R. glutinosa were analyzed by SRAP molecular markers, and the catalpol and verbascoside was determined by HPLC. The mass fraction of catalpol and verbascoside in R. glutinosa germplasm were respectively in the range of 2.393%-6.519% and 0.063%-0.478%, the germplasm 14, 16, 15 and 20 germplasm, witch catalpol and verbascoside content was higher. A total of 57 bands were produced by 10 primer, among which 40 polymorphic bands were polymorphic bands, and the percentage of polymorphic loci was 8.77%-54.39%, the Nei's genetic diversity index (H) was 0.374 1, Shannon's polymorphism information index (I) was 0.546 6. Gst and gene flow Nm were 0.608 8 and 0.321 3, respectively. Based on the genetic uniformity, 21 species of germplasm were grouped into 2 categories. The genetic diversity level of R. glutinosa was medium low. The comprehensive consideration of the genetic diversity and the content inculde catalpol and verbascoside, germplasm 7 and germplasm 18 could be used as the preferred materials for the cultivation of reticulum. Germplasm 15 and 16 can be used as the preservation and breeding object of rhubarb germplasm., Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose., (Copyright© by the Chinese Pharmaceutical Association.)

At the end of 2017, the former China Food and Drug Administration promulgated " the Guiding Principles for the Assessment of Chinese Medicine Resources" whose purpose is establishing the concept of " the production of Chinese traditional medicines, herbal pieces and etc. should be based on the premise of ensuring the production and quality of Chinese medicine resources" for a licensed holder of a drug listing or a production enterprise of Chinese Medicine by assessing this work through the resources of Chinese Medicine which finally achieves the strategic significance of promoting the sustainable utilization of Chinese medicine resources. Under the guidance of the overall idea of "the total amount is not reduced and the supply is guaranteed", this paper focuses on the following two methods of assessment: ①"family property assessment" of Chinese medicine resources based on "fixed total amount". ② "Supply and demand balance assessment" of Chinese medicine resources based on "supply guarantee". In this paper, we discuss the difference and relationship between the national survey of Chinese medicine resources and the assessment of Chinese medicine resources. Finally, we put forward a basic strategy called" supply and demand balance assessment" of Chinese medicine resources based on "supply guarantee" that will guide the Industrial production of traditional Chinese medicine., Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose., (Copyright© by the Chinese Pharmaceutical Association.)

This paper comprehensively analyses the background and meaning of The Technological Guiding Principle for Assessment of Chinese Medicine Resources enacted by the former CFDA ( China Food and Drug Administration), moreover, it also points out that the Chinese medicine resources assessment with the purpose of guaranteeing the sustainable supplying capacity of Chinese medicine resources is the premise of new drug development; the Chinese medicine resources assessment which takes quality guarantee as the core is a significant action to promote the fixing of place of origin and quality-management antedisplacement for the traditional Chinese medicine industry; in this regard, the Chinese medicine resources assessment which aims at realizing the whole-process traceability is the key to building the high-quality modern traditional Chinese medicine brand. The Chinese medicine resources assessment which takes the classical prescription as the entry point is the embodiment of the protection of traditional Chinese medicine resources and international vision of regulation, which aims at clarifying the thinking for the relevant enterprises to carry out the Chinese medicine resources assessment. Base on the general thinking of ensuring that the "total amount of Chinese medicine resources is fixed and the supply is guaranteed", this paper clarifies two methods of Chinese medicine resources assessment: "family property assessment" of Chinese medicine resources based on "fixed total amount", "supply and demand balance assessment" of Chinese medicine resources based on "supply guarantee". In this regard, the basic strategy of "supply and demand balance assessment" of Chinese medicine resources based on "guaranteed supply" is put forward and it is believed that the resources assessment will lead to the significant adjustment of traditional Chinese medicinal materials production. It becomes the only way for the development of various Chinese medicine production enterprises to realize the comprehensive improvement of Chinese medicine quality, brand construction, the establishment of preferential price mechanism., Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose., (Copyright© by the Chinese Pharmaceutical Association.)

The seventy samples of Polygoni Multiflori Radix were collected from three producing areas: Bozhou, Anhui province, Jingmen, Hubei province and Xichang, Sichuan province. Three stable isotope ratios and contents of 44 elements in the Polygoni Multiflori Radix samples were determined by EA-IR-MS and HR-ICP-MS. Three data mining methods，including partial least square discriminant analysis (PLS-DA), fisher linear discriminant analysis (FLDA) and decision tree CHAID were employed to establish a model for geographical origin discrimination．The study results showed that the stable isotope ratios expressed significant difference followed with the different producing areas, and will be used to discern the samples from different producing areas, effectively. Combined with the data of elemental analysis, the accuracy rates of model can be further improved. All the three methods showed the accuracy rates of external sample were over 90% using training dataset. These results confirmed that stable isotope ratios and multi-elemental analysis combined with chemometric method was effectiv in geographical tracing of Polygoni Multiflori Radix．The analysis method has great potential and prospect in geographical origin discriminant of Chinese medicinal materials, and provids a new study method to identify origin information of Chinese medicinal materials., Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose., (Copyright© by the Chinese Pharmaceutical Association.)

At the beginning of the ancient "Silk Road", traditional Chinese medicine resources (TCM resources) have long been integrated into it, and it was once the "important part" of the ancient "Silk Road" in Chinese history, benefited from this, the political connections was strengthened, the economic and trade was developed, and Chinese medicine culture was spread. Before Qing Dynasty, people took out the "silk" and brought back "herbs" on the "Silk Road", which enriched China's medicinal resources. While in the later Qing Dynasty and the period of the Republic of China, more scientific and technological methods were brought back from abroad, and this in turn enriched the medical research methods. With more than 2 000 years' development, China's boundaries have changed countless times, therefore the word "Foreign" has different meanings in different historical periods. The import, development and utilization of foreign TCM resources is different in different historical periods, at present, with the continuous enhancement of China's comprehensiv national strength，especially the "Belt And Road" strategy, the communication and import of TCM resources with countries that participating in the "Belt and Road" initiativ became much easier. In order to actively respond to the "Belt and Road" initiative promote the development and utilization of foreign medicinal resources; serve people from the countries participating in the "Belt and Road" initiative we sorted out the foreign TCM resources from different periods in ancient and modern China, and based on this, we proposed the strategy of import of foreign TCM resources under the new situation, those are: "three levels, four steps, one support and one key". And "three levels" refers to intelligence collection level, field investigation level, scientific research level, "Four steps" refers to the original identification research, safety evaluation research, functional positioning research and medicinal properties research; "One support" refers to relying on overseas Chinese or Chinese enterprises with working foundation and network resources, "One key" refers to the protection of the intellectual property rights of foreign TCM resources at the policy level and to mobilize the initiative of all parties., Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose., (Copyright© by the Chinese Pharmaceutical Association.)

The isotopic ratios of strontium isotope (Sr) and light elements (C/H/O/N) in Dendrobium officinale from different producing areas (Shaoguan, Guangdong; Yulin, Guangxi; Shibing, Guizhou; Wenshan, Yunnan and Zhejiang province) were determined with thermal ionization mass spectrometry (TI-MS) and isotope ratio mass spectrometry (IRMS)．The differences of the stable isotope ratios in D. officinale were obtained by the variance analysis and the correlation analysis, and pattern recognition techniques with principal component analysis (PCA) was used to classify the geographical origins of D. officinale from different producing areas．The isotopic ratios of strontium isotope can be used to identified D. officinale in Zhejiang province, and the isotopic ratios of light elements showed the difference followed with the different producing areas. For δD and δ¹⁸ O in samples, maybe influenced by the environment effect. A positive correlation was found between δD and δ ¹⁸O.The principal component analysis was used to discern the samples of D. officinale from different producing areas based on detection technology of stable isotope ratios.These results revealed that it was possible and feasible to classify the geographical origin of D. officinale by the method of determination of isotopes,and provided a new method to identificate origin information of Chinese medicinal materials., Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose., (Copyright© by the Chinese Pharmaceutical Association.)

From the beginning of the fourth national census of traditional Chinese medicine resources in 2011, a large amount of data have been collected and compiled, including wild medicinal plant resource data, cultivation of medicinal plant information, traditional knowledge, and specimen information. The traditional paper-based recording method is inconvenient for query and application. The B/S architecture, JavaWeb framework and SOA are used to design and develop the fourth national census results display platform. Through the data integration and sorting, the users are to provide with integrated data services and data query display solutions. The platform realizes the fine data classification, and has the simple data retrieval and the university statistical analysis function. The platform uses Echarts components, Geo Server, Open Layers and other technologies to provide a variety of data display forms such as charts, maps and other visualization forms, intuitive reflects the number, distribution and type of Chinese material medica resources. It meets the data mapping requirements of different levels of users, and provides support for management decision-making., Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose., (Copyright© by the Chinese Pharmaceutical Association.)

Due to the particularity of ginseng cultivation, the soil fertility of cultivated ginseng is seriously depleted, so that the cultivated ginseng land can not be reused in the short term, and the land area available for cultivating ginseng becomes less and less with the growth of ginseng cultivation time. Therefore, in order to effectively manage ginseng cultivation, and achieve the sustainable use of ginseng land, it is necessary to obtain accurate information on the distribution of ginseng planting space. In this study, the object-oriented classification method based on rule set was used to extract ginseng planting area based on the ZY-3 satellite data in Fusong county, Jilin province. Firstly, multi-scale segmentation of ZY-3 remote sensing image in the study area was made, and the optimal segmentation scale was determined on the basis of multi-scale segmentation results. Secondly, a spectral curve according to the different feature type samples was generated. The similarities and differences between ginseng plot and other types of surface features were analyzed, and a rule set based on the results of spectral analysis was established to achieve the final extraction. The results show that the object-oriented classification method based on rule set can effectively extract the ginseng planting plots in the study area, and solve the problem that the extraction result is broken compared with the traditional pixel-based classification method., Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose., (Copyright© by the Chinese Pharmaceutical Association.)

Geo-herbals are preferred by long-term clinical application of Chinese medicine, they are produced in a specific area and affected by the specific production and processing methods. Geo-herbals have a high reputation, compared with other regions produced by the same kind of herbs with good quality, efficacy and stable quality characteristics. Geo-herbal is a unique concept that has been formed by the history of Chinese civilization for thousands of years and the history of Chinese medicine. According to the definition of geo-herbal, it can be seen that there are some differences in the quality and efficacy of the same kind of medicinal herbs in different regions, and there is some similarity in the specific area. In this study, the spatial distribution characteristics of artemisinin in Artemisia annua were analyzed by spatial statistical analysis. ①The spatial autocorrelation of artemisinin content was analyzed by "I coefficient". The results showed that the content of artemisinin in each province was significant and positive spatial autocorrelation. The content of artemisinin in each province was not randomly distributed, but with a clear spatial aggregation characteristics. ②The spatial variability of artemisinin content was analyzed by "G statistic". The results showed that the area with high content of artemisinin was distributed in the southwest region, and the content of artemisinin was concentrated in the space, which tends to accumulate at high value. The content of artemisinin in Tianjin and Liaoning province is low, and it tends to accumulate at low value, while the content of artemisinin in other provinces is the transition zone of high and low value. ③Based on the index of artemisinin in each province, the spatial correlation of artemisinin content in each region was analyzed by "moran scatter plot". The results showed that the content of artemisinin in nine provinces such as Guangxi and Chongqing belonged to high value gathering area. ④Based on the artemisinin content and ecological environment factor of sampling point, the "geophysical detector" was used to analyze the continuous quantitative data and discontinuous qualitative data. The results showed that the sunshine, temperature and precipitation were the main factors affecting the content of artemisinin., Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose., (Copyright© by the Chinese Pharmaceutical Association.)