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Ultraviolet (UV) filters are used in cosmetics, personal care products and packaging materials to provide sun protection for human skin and other substances. Little is known about these substances, but they continue to be released into the environment. The acute toxicity of 4,4'-dihydroxybenzophenone, 2,4,4'-trihydroxybenzophenone and 4-MBC to Chlorella vulgaris and Daphnia magna were analyzed in this study. The 96 h-EC50 values of 4,4'-dihydroxybenzophenone, 2,4,4'-trihydroxybenzophenone and 4-MBC on C. vulgaris were 183.60, 3.50 and 0.16874 mg/L, respectively. The 48 h-LC50 of 4,4'-dihydroxybenzophenone, 2,4,4'-trihydroxybenzophenone and 4-MBC on D. magna were 12.50, 3.74 and 0.54445 mg/L, respectively. The toxicity of a mixture of 4,4'-dihydroxybenzophenone and 4-MBC showed addictive effect on C. vulgaris, while the toxicity of mixtures of 4,4'-dihydroxybenzophenone and 2,4,4'-trihydroxybenzophenone, 2,4,4'-trihydroxybenzophenone and 4-MBC as well as 4,4'-dihydroxybenzophenone, 2,4,4'-trihydroxybenzophenone and 4-MBC all showed antagonistic effect on C. vulgaris. The induced no-effect concentrations of 4,4'-dihydroxybenzophenone, 2,4,4'-trihydroxybenzophenone and 4-MBC by the assessment factor (AF) method were 0.0125, 0.00350 and 0.000169 mg/L, respectively.

Benzophenone (BPs) and 4-Methylbenzylidene Camphor are used as ultraviolet (UV) filters to protect the skin and hair in personal care products. The discharging of the three chemicals may endanger the receiving water ecosystem. In the present study, the mutagenicity of BP-6, BP-8, and 4-Methylbenzylidene Camphor was tested using the Salmonella typhimurium reverse mutation test (Ames test) in the system with and without rat liver microsomal preparations (S9). Four S.typhimurium strains, TA97, TA98, TA100, and TA102 were employed in the Ames tests. The mutagenicity was detected from all three chemicals. The addition of S9 increased the mutation ratios of three chemicals to four strains, except BP-6 to TA100 strain and 4-MBC to TA97 and TA98 strain. In the mixed experiment, all positive effects were detected in the absence of S9. However, the results all became negative in the presence of S9. For the mixture of BP-6 and 4-MBC, positive results were detected on four tester strains except for the TA100 strain. For the mixture of BP-6, BP-8, and 4-MBC, positive results were detected on four strains. The mixture test results showed antagonism in mutagenicity for the mixture of BP-6 and 4-MBC to TA98 and TA100 strains and the mixture of BP-6, BP-8, and 4-MBC to TA100 and TA102 strains.

Background: The self-consciousness and practicality of preferentially prescribed essential medicines (EMs) are not high enough in county hospitals. The purposes of this study were to use the information-motivation-behavioral skills (IMB) model to identify the predictors of essential medicines prescribing behavior (EMPB) among doctors and to examine the association between demographic variables, IMB, and EMPB. Methods: A cross-sectional study was carried out to assess predictive relationships among demographic variables and IMB model variables using an anonymous questionnaire administered in nine county hospitals of Anhui province. A structural equation model was constructed for the IMB model to test the instruments using analysis of moment structures 17.0. Results: A total of 732 participants completed the survey. The average age of the participants was 37.7 ± 8.9 years old (range: 22-67 years old). The correct rate of information was 90.64%. The average scores of the motivation and behavioral skills were 45.46 ± 7.34 (hundred mark system: 75.77) and 19.92 ± 3.44 (hundred mark system: 79.68), respectively. Approximately half (50.8%) of respondents reported that the proportion of EM prescription was below 60%. The final revised model indicated a good fit to the data (χ2 /df = 4.146, goodness of fit index = 0.948, comparative fit index = 0.938, root mean square error of approximation = 0.066). More work experience (β = 0.153, P < 0.001) and behavioral skills (β = 0.449, P < 0.001) predicted more EMPB. Higher income predicted less information (β = −0.197, P < 0.001) and motivation (β = −0.204, P < 0.001). Behavioral skills were positively predicted by information (β = 0.135, P < 0.001) and motivation (β = 0.742, P < 0.001). Conclusion: The present study predicted some factors of EMPB, and specified the relationships among the model variables. The utilization rate of EM was not high enough. Motivation and behavior skills were crucial factors affecting EMPB. The influence of demographic variables, such as income and work experience, on EMPB should be fully appreciated. Comprehensive intervention measures should be implemented from multiple perspectives.