Correlation Analysis of Parasitic Chinese Medicine Based on Morphology-habit-habitat-property and Efficacy / 中国实验方剂学杂志

Objective:To explore the correlation of the botanical characteristics， biological characteristics， habitat， and medicinal property and efficacy of parasitic Chinese medicines， underpin quality evaluation based on property differentiation， and provide references for the development and utilization of parasitic medicinal plant resources. Method:The origin， property and meridian tropism， parasitic type， and the efficacy of the common of parasitic Chinese medicines were summarized. The frequencies of parasitic Chinese medicines in Qingfei Paidu decoction，<italic> Medicine Food Homology</italic>， <italic>Catalogue of Ancient Classical Formulas （the first batch）</italic>， and the 2020 edition of <italic>Chinese Pharmacopoeia</italic> were statistically analyzed. Excel 2013 and SPSS Statistics 23.0 were employed for statistical research. Result:The ranking results of parasitic Chinese medicines are listed below： root parasitism>stem parasitism>root hemiparasitism>symbiosis=saprophytism according to the parasitic type， plain>warm>cool>cold， no heat involved according to nature， sweet>bitter>pungent>sour=salt， with one sweet-pungent， one sweet-bitter， one sweet-salt， and one bitter-salt Chinese medicine according to flavor， kidney>liver>large intestine>spleen>lung>heart=bladder， no small intestine meridian involved according to meridian tropism. Conclusion:Parasitic Chinese medicines were mostly root-parasitic， plain in nature， sweet in flavor， and entered kidney meridian， with main effects of dispelling wind-dampness， nourishing liver and kidney， clearing heat， and removing toxin. The morphology， habit， and habitat of parasitic Chinese medicine were correlated with the property and efficacy. This study is expected to provide comprehensive references and a theoretical basis for in-depth research， clinical application， and resource development.

Ecologically suitable areas for growing Scutellaria baicalensis worldwide: an analysis based on GMPGIS / 中国中药杂志

This paper explored the ecologically suitable areas for growing Scutellaria baicalensis using Geographic Information System for Global Medicinal Plants(GMPGIS), to figure out the resource distribution of S. baicalensis worldwide and provide a scientific basis for its scientific introduction. A total of 349 S. baicalensis sampling sites were selected all over the world for GMPGIS-based analy-sis of the ecologically suitable areas with six ecological factors including annual average temperature, average temperature during the coldest season, average temperature during the warmest season, average annual precipitation, average annual relative humidity, and annual average illumination and soil type as the ecological indexes. The results demonstrated that the ecologically suitable areas for growing S. baicalensis were mostly located in the Northern hemisphere, and the suitable areas in the United States, China, and Russia accounted for 19.25%, 18.66%, and 13.15% of the total area worldwide, respectively. In China, the Inner Mongolia, Heilongjiang province, and Yunnan province occupied the largest proportions of the total area, namely 14.28%, 8.72%, and 6.18%, respectively. As revealed by ecological factors of each sampling site, S. baicalensis was resistant to low temperature but not to high temperature. The adaptive range of average annual precipitation is narrower than that of average annual air humidity. The suitable soils were mainly inceptisol, alfisol, and fluvisol. High temperature and rainy climate or excessively high soil bulk density was not conducive to the growth of S. baicalensis. The adoption of GMPGIS enabled to obtain areas with the greatest ecological similarity for S. baicalensis, which were reliable data supporting the exploration of resource distribution and reasonable introduction of S. baicalensis.

Study of extracting natural resources of Chinese medicinal materials planted area in Luoning of Henan province based on UAV of low altitude remote sensing technology and remote sensing image of satellite / 中国中药杂志

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.