A new phenolic acid ester, 4'-hydroxyphenylethyl 4,8(R)-dihydroxyphenylpropionate(1), was isolated from an endophytic fungus Colletotrichum capsici of Paeonia lactiflora roots, along with eight known phenolic derivatives, tyrosol(2), 2-(4-hydroxyphenyl) ethyl acetate(3), methyl p-hydroxyphenylacetate(4), methyl m-hydroxyphenylacetate(5), 4-(4-hydroxyphene-thoxy)-4-oxobutanoic acid(6), 4-hydroxyphenethyl methyl succinate(7), trichodenol B(8) and 4-hydroxyphenethyl 2-(4-hydroxyphenyl) acetate(9). Their structures were identified by a combination of high-resolution electrospray ionization mass spectrometry(HR-ESI-MS), nuclear magnetic resonance(NMR) spectroscopy, ultraviolet(UV) spectroscopy and electronic circular dichroism(ECD) spectroscopy. Compounds 2-9 were isolated from this fungus for the first time.
Colletotrichum ; Esters ; Hydroxybenzoates ; Paeonia

OBJECTIVETo optimize the objective technical parameter for direct processing technology of fresh-cut for Paeonia Radix Alba.

METHODPeoniflorin and TGP were employed as the indexes of quality evaluation. Combining with the appearance of the slices, we investigated the influence of slice degree and thickness, drying temperature, drying time, drying method and other factors on the quality control of Paeonia Radix Alba slices. Furthermore, the key fresh-cut technology operating procedures parameter for Paeonia Radix Alba in Bozhou was established based on the semi-works production.

RESULTIt established tentatively the method for fresh-out and fresh-out after boiled of Paeonia Radix Alba as that selected fresh or beiled Paeonia Radix Alba, then divided them from different grades and put them into a roller to crash off the skin, cleaned and then dried them 9 h at 60 degrees C (water content 28% - 32%), and then moistened 2-3 h after spraying moderate water. Cut them into 1.5-2 mm decoction pieces and dried them at 60 degrees C, cooled, and sealed them in a package.

CONCLUSIONThe industrialization of processing decoction pieces with freshly cut Paeonia Radix Alba is stable shortens processing time, avoids effectively sulfur fumigation and infiltrating and soften, and keep high quality of production.

To ensure the stability of chemistry components and the convenience of operation, ultrasound method was chosen to study in this investigation. As the total common peaks area in chromatograms was set to be evaluation index, the influence on the technology caused by extraction time, ethanol concentration and liquid-to-solid ratio was studied by using single factor methodology, and the extraction technology of Paeoniae Radix Alba was optimized by using response surface methodology. The results showed that the extracting results were most affected by ethanol concentration; liquid-to-solid ratio came the second and extraction time thirdly. The optimum ultrasonic-assisted extraction conditions were as follow: the ultrasonic extraction time was 20.06 min, the ethanol concentration in solvent was 72.04%, and the liquid-to-solid ratio was 53.38 mL · g(-1), the predicted value of total common peaks area was 2.1608 x 10(8). Under the extraction conditions after optimization, the total common peaks area was 2.1422 x 10(8), and the relative deviation between the measured and predicted value was 0.86%, so the optimized extraction technology for Paeoniae Radix Alba is suitable and feasible. Besides, for the purpose of extracting more sufficiently and completely, the optimized extraction technology had more advantages than the extraction method recorded in the monogragh of Paeoniae Radix Alba in Chinese Pharmacopoeia, which will come true the assessment and utilization comprehensively.
Paeonia ; chemistry ; Technology, Pharmaceutical ; methods

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.
China ; Paeonia ; Remote Sensing Technology

OBJECTIVETo develop an UPLC method of determining the characteristic chromatographic profiles of Paeoniae Radix Alba for quality control.

METHODThe UPLC characteristic chromatographic profiles of fifteen batches of Paeoniae Radix Alba were determined on an HSS T3 Column (2.1 mm x 100 mm, 1.8 microm) eluted with the mobile phases of water containing 0.05% phosphoric acid and acetonitrile in gradient mode. The detection wavelength was set at 230 nm.

RESULTThe common mode of the UPLC characteristic chromatographic profile was set up. There were 15 common peaks, five of which were identified, and the similar degrees of the fifteen samples to the common mode were between 0.891 and 0.996.

CONCLUSIONThe method was time-saving and can be used for the quality control of Paeoniae Radix Alba.

In this study, Paeonia suffruticosa roots and rhizospheric soil in five geographic regions which were harvested in October were utilized as experimental materials, then the diversity of endophytic and rhizospheric actinomycetes were investigated by High-throughput sequencing technique. The 1 754 operational taxonomic units (OTUs) were obtained from 129 954 high quality sequences, 1 311 OTUs were detected in rhizospheric actinomycetes and belonged to four classes, four orders, twenty-seven families and ninety-seven genera, thirty-three genera such as Ilumatobacter were found in the five regions rhizospheric soil while three genera such as Longispora were only detected in the Dao-di regions, the dominant genera were Mycobacterium, Nocardioides, Streptomyces. 443 OTUs were obtained in roots and distributed in three classes, three orders, twenty-four families and fifty genera, thirteen genera such as Cryptosporangium were found in the five regions roots while Planosporangium, Luteococcus were only detected in the Dao-di regions, the dominant genera were Nocardioides. Alpha diversity analysis showed that the Shannon and Chao1 index in rhizospheric actinomycetes in Bozhou, Tongling and Nanling region were higher than Heze and Luoyang. Based on principal co-ordinates analysis (PCoA) analysis, the rhizospheric actinomycetes formations were similar in Tongling and Nanling region, at the same in Tongling and Luoyang endophytic actinomycetes. According to heatmap analysis, Bozhou, Tongling and Nanling region rhizospheric actinomycetes showed a close similarity in actinomycetes community structures on phylogenetic analysis, while Tongling, Luoyang and Nanling endophytic actinomycetes showed the same. Our results not only suggested that the rich and diverse actinomycetes resources in P. suffruticosa roots and rhizospheric soil but also revealed rhizospheric actinomycetes in the Dao-di regions had high similarity.
Actinobacteria ; Paeonia ; Phylogeny ; Plant Roots ; Soil Microbiology

Trace metals deficiency or excess are associated with the etiology and pathogenesis of rheumatoid arthritis(RA). Aconiti Radix Cocta(A) and Paeoniae Radix Alba(B) are commonly used together for the treatment of RA. In this study, we aim to determine anti-arthritic-related metal bioavailability in the compatibility of herb A and B for avoiding metal deficiency or excess, and optimize the combination ratio of herb A and B, accordingly. Anti-arthritic-related metal bioaccessibility were evaluated by in vitro simulator of all gastrointestinal tract(including mouth, stomach, small and large intestines), and the roles of gastrointestinal digestive enzymes and intestinal microflora were investigated. Anti-arthritic-related metal bioavailability was assessed by the affinity adsorption with liposomes. The results indicated that compatibility proportion of corresponding herbal plants, gastrointestinal digestion and microbial metabolic, which could affect metal digestion and absorption. The optimal compatibility proportion of 1 A∶1 B is recommended, according to the dose of anti-arthritic-related metal bioavailability, which is often chosen for clinical practice of RA therapy. Thus, anti-arthritic-related metal bioavailability might be the key active substances for RA treatment.
Aconitum ; Biological Availability ; Drugs, Chinese Herbal ; Paeonia

In this study, an established ultra-high performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS) method was combined with multivariate statistical analysis to investigate the commonality and difference of main chemical components in the medicinal parts of Paeonia lactiflora from different cultivars; in addition, a high performance liquid chromatography(HPLC) method was established to simultaneously determine the content of eight active components in Paeoniae Radix Alba. Non-targeted analysis was carried out by UPLC-Q-TOF-MS on a Waters ACQUITY UPLC BEH C_(18)(2.1 mm×100 mm, 1.7 μm) column with a gradient elution of 0.1% aqueous formic acid(A)-acetonitrile(B) as the mobile phase at a flow rate of 0.2 mL·min~(-1). The column temperature was 30 ℃, and an electrospray ionization source was used to acquire mass spectrometry data in positive and negative ion modes. According to the accurate molecular weight and fragment ion information provided by multi-stage mass spectrometry and by comparison with reference substances and literature reports, thirty-six identical components were identified in Paeoniae Radix Alba from different cultivars with positive and negative ion modes. In the negative ion mode, two groups of samples were well separated; specifically, seventeen components with significant differences in content were screened and identified, and one component unique in "Bobaishao" was obtained. Quantitative analysis was conducted by high-performance liquid chromatography(HPLC) on an Agilent HC-C_(18)(4.6 mm×250 mm, 5 μm) column with a gradient elution of 0.1% aqueous phosphoric acid(A)-acetonitrile(B) as the mobile phase at a flow rate of 1.0 mL·min~(-1). The column temperature was 30 ℃ and the detection wavelength was at 230 nm. An HPLC method was developed for the simultaneous determination of eight active components(gallic acid, oxypaeoniflorin, catechin, albiflorin, paeoniflorin, galloylpaeoniflorin, 1,2,3,4,6-O-pentagalloylglucose, benzoyl-paeoniflorin) in Paeoniae Radix Albaa from different cultivars. Satisfactory linearity was achieved within the investigated linear ranges and with fine coefficients(r>0.999 0), and the methodological investigation showed that the method had good precision, repeatability and stability. The mean recoveries were 90.61% to 101.7% with RSD of 0.12% to 3.6%(n=6). UPLC-Q-OF-MS provided a rapid and efficient qualitative analytical method for the identification of the chemical components in Paeoniae Radix Alba, and the developed HPLC method was simple, rapid and accurate, which could provide a scientific basis for the evaluation of the germplasm resources and herbal quality of Paeoniae Radix Alba from different cultivars.
Chromatography, High Pressure Liquid ; Paeonia ; Acetonitriles

Paeonia lactiflora is an important medicinal resource in China. It is of great significance for the protection and cultivation of P. lactiflora resources to find the suitable habitats. The study was based on the information of 98 distribution sites and the data of 20 current environmental factors of wild P. lactiflora in China. According to the correlation and importance of environmental factors, we selected the main environmental factors affecting the potential suitable habitats. Then, BCC-CSM2-MR model was employed to predict the distribution range and center change of potential suitable habitat of wild P. lactiflora in the climate scenarios of SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 during 2021-2100. The ensemble model combined with GBM, GLM, MaxEnt, and RF showed improved prediction accuracy, with TSS=0.85 and AUC=0.95. Among the 20 environmental factors, annual mean temperature, monthly mean diurnal range of temperature, temperature seasonality, mean temperature of the warmest quarter, precipitation of the wettest month, precipitation seasonality, precipitation of the driest quarter, and elevation were the main factors that affected the suitable habitat distribution of P. lactiflora. At present, the potential suitable habitats of wild P. lactiflora is mainly distributed in Inner Mongolia, Heilongjiang, Jilin, Liaoning, Hebei, Beijing, Shaanxi, Shanxi, Shandong, Gansu, Xinjiang, Tibet, and Ningxia, and concentrated in the northeastern Inner Mongolia, central Heilongjiang, and northern Jilin. Under future climate conditions, the highly sui-table area of wild P. lactiflora will shrink, and the potential suitable habitat will mainly be lost to different degrees. However, in the SSP5-8.5 scenario, the low suitable area of wild P. lactiflora will partially increase in the highlands and mountains in western China including Xinjiang, Tibet, and Qinghai during 2061-2100. The distribution center of wild P. lactiflora migrated first to the northeast and then to the southwest. The total suitable habitats were stable and kept in the high-latitude zones. The prediction of the potential geo-graphical distribution of P. lactiflora is of great significance to the habitat protection and standardized cultivation of this plant in the future.
China ; Climate ; Climate Change ; Ecosystem ; Paeonia

For optimal adaptive cultivation region selection, we used ecology factors characterized Duolun region as model area to carry out the adaptive habitat division of Paeonia lactiflora. Similar priority comparison of ecology factors.in 91 cities were calculated by Fuzzy methods, then, distance of the ecology factors were transferred to spacial model by geography information system (,GIS) and modified by soil utilization map of China. The results showed that P. lactiflora were mainly distributed in the Daxing'an Mountain, Changbaishan and qinling range which were divided into six grades of suitable regions belonging to three geographical distributed units. The most similar areas to Duolun were Huade, Xilinhaote, Suolun and Zhangbei. P. lactiflora's distribution and quality are relevant with longitude and latitude, and temperature and rainfall.
China ; Environment ; Fuzzy Logic ; Paeonia ; classification ; growth & development ; Temperature