Objective:To provide epidemiological data and clinical evidence for cosmetic adverse reactions.Methods:A retrospective clinical analysis was carried out on a total 820 outpatients (23 males and 797 females) suspected to be with cosmetic adverse reactions from January 2014 - October 2017, and average age of these patients was 7~75 (32.66±8.09) years. Suspicious cosmetics patch tests were performed in some patients. Suspicious cosmetics patch tests were performed in 687 patients.Results:Among 820 patients with cosmetic adverse reactions, women accounted for 97.20% and men accounted for 2.80%. Age distribution was most common among young people aged 21-40 years, accounting for 71.34%. The highest level of education was higher education, accounting for 59.69%. Occupational distribution was most commonly concentrated in employees and unemployed persons, accounting for 28.54% and 18.66%, respectively. A history of cosmetics allergies accounted for 17.28%. Cosmetic contact dermatitis was the most common clinical type of cosmetic adverse reactions, accounting for 92.70%. A total of 1682 suspected pathogenic cosmetics were involved. The positive rate of the cosmetic original patch test was 42.39%. Among the cosmetics with a positive patch test, moisturizing, anti-wrinkle and whitening freckle cosmetics accounted for the highest proportion, 31.59%, 15.09%, and 12.68%, respectively.Conclusions:Cosmetic contact dermatitis is the most common type of cosmetic adverse reaction. Patch testing is helpful in identifying the contact allergens in cosmetic adverse reaction.

OBJECTIVE：To screen the effective compo nent in antioxi dant active fraction of Pueraria lobata . METHODS ：The antioxidant active fraction sample （S1-S20） of 20 batches of P. lobata were prepared. HPLC method was adopted. The determination was performed on SepaxBio-C 18 column with mobile phase consisted of methanol-water （gradient elution ）at the flow rate of 0.6 mL/min. The column temperature was set at 25 ℃，and detection wavelength was set at 250 nm. HPLC fingerprints of 20 batches of P. lobata were established by the Similarity Evaluation System of TCM Chromatographic Fingerprints （2012 edition），and common peaks were identified. Cluster analysis ，principal component analysis （PCA）and orthogonal partial least squares discriminant analysis （OPLS-DA）were used to screen the effective components in antioxidant active fraction of P. lobata . RESULTS：There were 18 common peaks in HPLC fingerprints of 20 batches of antioxidant active fraction in P. lobata ，and the similarity was more than 0.99. Eight common peaks were identified ，which were 3′-hydroxypuerarin（peak 2），puerarin（peak 3）， 3′-methoxypuerarin（peak 4），daidzein（peak 5），genistein（peak 7），formononetin（peak 11），daidzein（peak 13）and genistein （peak 16）. The results of cluster analysis and PCA analysis showed that samples S 1，S3，S4，S6，S8，S18 and S 19 were clustered into one category ，and samples S 2，S5，S7，S9-S17 and S 20 were clustered into one category ；peak 2，peak 3，peak 10，peak 11 and peak 13 had great influence on principal component 1；peak 8 and peak 9 had great influence on principal component 2. OPLS-DA analysis showed that peak 4，peak 3，peak 2，peak 16，peak 13 and peak 11 had great influence on the quality of antioxidant active fraction of P. lobata . CONCLUSIONS ： HPLC fingerprint for active fraction of P. lobata is established in the study and 8 components are identified ；among them ， com puerarin，3′-hydroxypuerarin，daidzein and formononetin maybe the material basis of antioxidant fraction of P. lobata .