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1.
China Journal of Chinese Materia Medica ; (24): 1118-1124, 2017.
Article in Chinese | WPRIM | ID: wpr-350216

ABSTRACT

Apocynum venetum belongs to apocynaceae and is a perennial medicinal plant, its stem is an important textile raw materials. The projection of potential geographic distribution of A. venetum has an important significance for the protection and sustainable utilization of the plant. This study was conducted to determine the potential geographic distribution of A. venetum and to project how climate change would affect its geographic distribution. The projection geographic distribution of A. venetum under current bioclimatic conditions in northern China was simulated using MaxEnt software based on species presence data at 44 locations and 19 bioclimatic parameters. The future distributions of A. venetum were also projected in 2050 and 2070 under the climate change scenarios of RCP2.6 and RCP8.5 described in 5th Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). The result showed that min air temperature of the coldest month, annual mean air temperature, precipitation of the coldest quarter and mean air temperature of the wettest quarter dominated the geographic distribution of A. venetum. Under current climate, the suitable habitats of A. venetum is 11.94% in China, the suitable habitats are mainly located in the middle of Xinjiang, in the northern part of Gansu, in the southern part of Neimeng, in the northern part of Ningxia, in the middle and northern part of Shaanxi, in the southern part of Shanxi, in the middle and northern part of Henan, in the middle and southern part of Hebei, Shandong, Tianjin, in the southern part of Liaoning and part of Beijing. From 2050 to 2070, the model outputs indicated that the suitable habitats of A. venetum would decrease under the climate change scenarios of RCP2.6 and RCP8.5.

2.
China Journal of Chinese Materia Medica ; (24): 2697-2703, 2017.
Article in Chinese | WPRIM | ID: wpr-256047

ABSTRACT

Fourteen compounds were isolated from the 80% ethanol extract of Caragana stenophylla root, by using a combination of various chromatographic approaches, including silica gel sephadex LH-20 column chromatography, and preparative HPLC. On the basis of their physical and chemical properties and spectroscopic data, their structures were elucidated as 2-(4-hydroxy-3-methoxy lphenyl)-3-methoxyl benzofuran-6-ol (1), mucodianin C (2), isopterofuran (3), formononetin (4), afromosin (5), calycosin (6), acacetin (7), 3-O-methylkaempferol (8), liquiritigenin (9), isoliquiritigenin (10), variabilin (11), resveratrol (12), zhebeiresinol (13), and 2, 3-dicarboxy-6, 7-dihydroxy-1-(3', 4'-dihydroxy)-phenyl-1, 2-dihydronaphthalen (14). Compound 1 is a new benzofuran derivative, named as mucodianin S; compounds 2, 3, 11, 13, 14 were isolated from the genus Caragana for the first time, and compounds 4-10 were firstly isolated from Caragana stenophylla. MTT assay was used to determine their cytotoxicity of the isolated compounds against human tumor cell lines, and 2 showed cytotoxicity against human hepato cellular cancer (HepG2) and human cervical (HeLa) lines, with IC₅₀ values of (16.18±0.95), (3.75±0.08) μmol•L ⁻¹, respectively.

3.
China Journal of Chinese Materia Medica ; (24): 1777-1781, 2014.
Article in Chinese | WPRIM | ID: wpr-327921

ABSTRACT

To investigate the resources of medicinal plant, such as wild Apocynum, supervised classification based on Principal Component Analysis (PCA) and texture feature were used to monitor wild medicinal plants from image captured by ZY-3 and World-view-2 and compare which satellite Image are more appropriate to monitor the wild medicinal plants. The research results shows that: for more complex growth conditions wild medicinal plants Apocynum, high-resolution images Worldview-2 is more suitable for its remote identification, the low-resolution satellite ZY-3 can only recognizes the wild medicinal plants which distributed intensively. If the study target distribution is more intensive and larger scale, and cultivated type medicinal plants, the use of satellite ZY-3 in low resolution remote sensing data to identify the target can be a good choice, it is not necessary to buy high-resolution data, in order to avoid waste of expenditure, for the scattered distribution, the high-resolution satellite imagery data may be indispensable to identify targets.


Subject(s)
Apocynum , Chemistry , China , Conservation of Natural Resources , Geographic Information Systems , Plant Dispersal , Plants, Medicinal , Chemistry , Remote Sensing Technology , Methods
4.
China Journal of Chinese Materia Medica ; (24): 427-432, 2014.
Article in Chinese | WPRIM | ID: wpr-287571

ABSTRACT

In order to study the spectral reflectance differences of Glycyrrhizae Radix under different growth conditions and lay the foundation for quantitative monitoring of Glycyrrhizae Radix remote sensing images, spectra of Glycyrrhiza species under different growth period and different varieties and different regions were measured by a portable spectrometer. The results showed that the reflectivity of annual G. uralensis was obviously higher than that of the two years plant in the visible light band own to the contents of crown layer chlorophyll. The reflectivity of two years G. pallidiflora was higher than that of G. uralensis in the near infrared band own to the leaf area index and the content of leaf water. The red edge spectrum of annual plant fluctuated largely than that of two years plant due to vegetation coverage and leaf area index. G. pallidiflora grew well than G. uralensis. Under different regions of the Glycyrrhiza species, spectral data analysis showed that within a certain range, the average annual precipitation and average annual evaporation were the major factors to affect the differences of Glycyrrhiza species spectral data under different regions owe to the leaf water content, the higher leaf water content, the lower spectral reflectance. The principal component analysis and continuum-removed method of the spectral data under different regions found that, within a certain range, the average annual precipitation and average annual evaporation were the major factors caused by the differences of Glycyrrhiza species spectral data under the different regions, Glycyrrhiza species spectral similarity related to the spatial distance.


Subject(s)
Geography , Glycyrrhiza , Chemistry , Principal Component Analysis , Spectrum Analysis
5.
China Journal of Chinese Materia Medica ; (24): 3681-3686, 2013.
Article in Chinese | WPRIM | ID: wpr-291303

ABSTRACT

To improve accuracy of estimation in planted safflower acreage,we selected agricultural area in Yumin County, Xinjiang as the study area. There safflower was concentrated planted. Supervised classification based on Principal Component Analysis (PCA) and texture feature were used to obtain the safflower acreage from image captured by ZY-3. The classification result was compared with only spectral feature and spectral feature with texture feature. The research result shows that this method can effectively solve the problem of low accuracy and fracture classification result in single data source classification. The overall accuracy is 87.519 1%, which increases by 7.117 2% compared with single data source classification. Therefore, the classification method based on PCA and texture features can be adapted to RS image classification and estimate the acreage of safflower. This study provides a feasible solution for estimation of planted safflower acreage by image captured by ZY-3 satellite.


Subject(s)
Algorithms , Carthamus tinctorius , Chemistry , Image Processing, Computer-Assisted , Pattern Recognition, Automated , Principal Component Analysis , Methods , Remote Sensing Technology , Methods
6.
China Journal of Chinese Materia Medica ; (24): 2619-2622, 2007.
Article in Chinese | WPRIM | ID: wpr-324319

ABSTRACT

<p><b>OBJECTIVE</b>To develop a HPLC method for simultaneous determination of the contents of sophoridine, oxymatrine and oxysophocarpine in seed of Sophora alopecuroides.</p><p><b>METHOD</b>Chromatographic condition included a Phenomenex Gemini C18 (4.6 mm x 250 mm, 5 microm) column and thmobile phase consisting of a mixture of methanol-0.2% phosphatic acid (7:93). The detection wavelength was at 205 nm. The flow rate was 1.0 mL x min(-1) and column temperature was set at 30 degrees C.</p><p><b>RESULT</b>All calibration curves showed good linearity (r > or = 0.9997) within test ranges. The mean recoveries were 100.0%, 97.0% and 97.0% respectively.</p><p><b>CONCLUSION</b>This method is simple, rapid and accurate, and suitable for quality control of S. alopecuroides seed.</p>


Subject(s)
Alkaloids , Chromatography, High Pressure Liquid , Methods , Plants, Medicinal , Chemistry , Quality Control , Quinolizines , Reproducibility of Results , Seeds , Chemistry , Sophora , Chemistry
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