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Objective To study the contents and distribution characteristics of trace elements in Chrysanthemum morifolium from different areas. Methods The contents of 13 trace elements in six samples of Chrysanthemum morifolium were determined by ICP-OES. The principal component analysis combined with SPSS 19. 0 software was applied to evaluate charac-teristics of elements Results Curves of trace element content of Chrysanthemum morifolium from different origins had a certain similarity. The contents of Fe, Zn and Mn were higher than others. The results of principal component analysis showed that five principal components were extracted from six samples of Chrysanthemum morifolium, and Cd, Cu, Zn, Ba and Co was the characteristic trace elements. Conclusion The contents and distribution of trace elements can reflect the characteristics of Chrysanthemum morifolium from different areas, which could be used for Chrysanthemum morifolium quality assessment and classification.
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Objective To explore the factors influencing the intra-laboratory turnaround time ( ILTAT) and establish a COX regression model.Methods Data of 5 weeks with a total of 904 cases from the samples of blood routine examinations from January 2014 to June 2014 in The Third Hospital of Xingtai were randomly collected.The records of the samples included test dates , times of arrival , times of test , sample statuses, time consumption, time duration, operators, project portfolios, delay, PLT counts, results of 30-minute treatment and test weeks.Based on SPSS 17.0, the above indicators were analyzed by COX single factor analysis and then COX mutiple-factor regression analysis.Results Within the prescribed time , 421 cases were sent taking up 46.6%of the total samples.The ratios of sent cases in 10, 20, 30, 40 and 50 minutes are 10.4%, 24.7%, 46.6%, 58.7% and 82.1% respectively.The results of COX single factor analysis showed that times of arrival , sample statuses, times of examination, operators, project portfolios and delay had statistical significance for ILTAT ( P0.05).Conclusions Times of arrival, times of test, operators, project portfolios and delay were the independent risk factors leading to the delay in ILTAT.Other laboratories could determine the variable number of proportional hazards models based on their sample transport , test procedures and principal influence factors , and carry out quantitative evaluation on the factors in sample processing for improvement.Thus, significant decrease on ILTAT would be achieved.