AIM: The fingerprint chromatograms were established for quality evaluation of Desmodium styracifolium collected from 11 areas by HPLC. METHODS: The analysis was performed on a Phenomsil C_(18) column((4.6 mm)?250 mm,5 ?m) with acetonitrile-carbinol-water as mobile phase in a gradient mode at a flow rate of(1.0) mL/min,and at a column temperature of 25℃.The detection of wavelength was at 272 nm. RESULTS: 11 peaks were selected as the common fingerprint peaks.The relative standard deviations for relative retention values and relative peak areas were less than 3% in the precision and repeated test,the similarity of 11 batches of samples were no less than 0.9. CONCLUSION: The method is reliable and can be helpful on the quality control of Desmodium styracifolium.

Objective To establish the rapid identification method of Hedysari Radix wild and cultivated products by integrating the identification characteristics of TCM traits obtained by intelligent senses such as electronic nose and colorimeter based on the multivariate statistical analysis method;To provide new ideas and methods for the formulation of commodity specification standards and the application research of market quality control for Hedysari Radix.Methods Totally 29 batches of samples of Hedysari Radix were detected based on colorimeter and electronic nose technology to obtain their sensory information,and the effective components of Hedysari Radix were determined by high performance liquid chromatography(HPLC)and other methods for joint analysis.After establishing the optimal experimental conditions of Hedysari Radix electronic nose,multivariate statistical analysis methods,such as principal component analysis(PCA),orthogonal partial least squares-discriminant analysis(OPLS-DA)and clustering analysis,were used to establish the identification model of Hedysari Radix wild and cultivated commodities.Results The optimum test conditions of Hedysari Radix electronic nose(particle size of 65 mesh):the sample weight was 2.0 g,the optimum temperature of the sample was 50℃,and the time was 25 min.A single intelligent sensory result could not quickly and accurately identify the two,but the fusion information could quickly identify the wild and cultivated commodities of Hedysari Radix,and the chemical composition had a certain correlation with the color and taste.Conclusion Electronic nose and colorimeter can quickly and accurately distinguish wild and cultivated Hedysari Radix after multivariate statistical analysis,which is simple and feasible.The combined analysis of its related properties and active components can be used for the quality evaluation of Hedysari Radix.

Objective To analyze the situation and study trend of large-scale nurses'health cohort studies based on Web of Science,to help design clinical guidelines and scientific research for nursing staff in China.Methods Articles of large nurses'health cohort studies published from 1993 to 2023 were retrieved from Web of Science(WOS)Core Collection.Citespace and Bibilometrix were used to perform the bibliometric analysis.Results 2882 studies were included in this study.Total volume of papers was enlarging by year.Clustering results showed that the main keywords could be divided into 3 categories:risks of women's health,risks of cardiovascular disease and reproducibility.Results of keywords burst showed that lifestyle,cardiovascular disease,women reproductive health and mental health were the highlights of studies in recent 5 years.Conclusion Research on large-scale nurse health cohorts holds significant scientific significance.It is recommended to establish a nationwide large-scale nurse health cohort as soon as possible.In the study,appropriate exposure factors should be selected,with reproductive health,mental health,and psychiatric disorders being the primary outcome measures,and chronic physical illnesses being the secondary outcome measures.By systematically describing the factors influencing the physical and mental health of nurses in China,we can better safeguard their well-being and promote the development of the nursing discipline.