RÉSUMÉ
Objective To establish an HPLC fingerprint of Dingdang Qigui Decoction and analyze and evaluate it using chemical pattern recognition technology;To determine the contents of 5 effective chemical components in Dingdang Qigui Decoction;To provide a basis for its quality control.Methods The analysis was performed on Agilent 5 TC-C18(2)column(250 mm×4.6 mm).The mobile phase comprised of acetonitrile-0.1%phosphoric acid aqueous solution with the gradient elution at a flow rate of 1.0 mL/min.The detection wavelength was set at 260 nm.The column temperature was maintained at 30℃and the injection volume was 10 μL.SPSS 26.0 and SIMCA 14.1 were used to perform clustering analysis and principal component analysis on the 10 batches of Didang Qigui Decoction.The landmark components for inter batch differences were selected through orthogonal partial least squares discriminant analysis(OPLS-DA).Results The HPLC fingerprint with eighteen common peaks of Didang Qigui Decoction in 10 batches of sample was established,and the similarities of samples were between 0.828 and 0.989.Five indicative components were identified and quantitatively analyzed by comparing with the reference substances,which were paeoniflorin,mauroisoflavone glucoside,hesperidin,cinnamaldehyde and aloe rhodopsin.The linear ranges was 10.000 0-320.000 0 μg/mL,2.500 0-80.000 0 μg/mL,10.000 0-320.000 0 μg/mL,10.000 0-320.000 0 μg/mL,0.078 1-5.000 0 μg/mL,respectively,and their mean recovery ranged from 100.30%to 104.09%.Clustering analysis and principal component analysis divided 10 batches of samples from Didang Qigui Decoction into 2 categories.Through OPLS-DA screening,hairy pistil isoflavone glycosides,paeoniflorin,and hesperidin were selected as landmark components for quality differences.Conclusion The quality evaluation method for Didang Qigui Decoction established in this study is simple,sensitive,accurate,and reproducible,which can provide a basis for the quality evaluation of Didang Qigui Decoction.
RÉSUMÉ
Objective To explore the effects and influencing factors of traditional occupational health training on occupational health literacy (OHL) of employees in micro-, small- and medium-sized enterprises. Methods A total of 540 employees from 154 micro-, small- and medium-sized enterprises, who participated (347 employees) and not-participated (193 employees) in traditional occupational health training, and 171 community residents/students (not-participated in occupational health training) were selected as the research subjects using the convenient sampling method. The OHL level was investigated using Occupational Health Literacy Questionnaire of National Key Populations. Results The overall OHL level of employees was 43.3% (234/540). Among them, the overall OHL level of untrained and trained employees was 38.9% and 45.8%, respectively, and the overall OHL level of community residents/students was 43.3%. The results of multivariate logistic regression analysis showed that the higher the educational level, the higher the OHL level (all P<0.01). The OHL level of untrained and trained employees was higher than that of untrained community residents/students (all P<0.05). The interaction of education level and training status had no statistical difference on the OHL level of the research subjects (P>0.05). The results of factorial design analysis of variance showed that the overall OHL score rate of untrained employees and trained employees was higher than that of untrained community residents/students (all P<0.05). However, there was no significant difference in overall OHL score rate between untrained and trained employees (P>0.05). Conclusion The role of traditional occupational health training in improving the OHL level of employees in micro-, small- and medium-sized enterprises needs to be improved. The responsibility of enterprise occupational health training should be implemented, and multiple measures should be taken to enrich the ways and approaches of occupational health education for enterprise employees, to effectively improve the OHL of workers.