Objective To reinvestigate the high performance thin-layer chromatography(HPTLC)method for solving the problem of difficulty in separating between ginsenoside-Re and notoginsenoside-R1,and to establish a specific,fast and economic routine identification and quality assessment method for Notoginseng(San Qi).Methods Chromatographic conditions were as follows:stationary phase-precoated HPTLC silica gel 60 plate(20? 10 cm,Merck);developing solvent system:CH2Cl2-absolute ethanol-water(70 ∶ 45 ∶ 6.5);relative humidity:lower than 18 % ;temperature:10～ 25 ℃ ;derivative reagent:10 % H2SO4 ethanolic solution,heating at 105 ℃ for 3 min and observing the fluorescent chromatogram in a UV cabinet at 366 nm.Results The HPTLC fingerprint consisted of 10 fluorescent bands(peaks in the profile)including ginsenoside-Rb1,Rd,Re,Rg1 and notoginsenoside-R1,which presented the relative consistent ratio of the main peaks generated from the image of the chemical components distribution pattern through scanning by TLC scanner or computer-aided similarity evaluation(CASE)software.Conclusion Notoginsenoside-R1,the specific component of San Qi,is spotlighted in the HPTLC image and separated from ginenoside-Re,which indicates HPTLC method being simple,fast,and effective.The HPTLC fingerprints of 24 batches of samples from different locations(Wenshan of Yunnan,Xinyi of Guangdong)and markets,with different grades show the high chemical stabilities of this Dammarane-type saponins distribution.

Objective: To investigate the influence of job burnout on subjective well-being and health status among employees in China. Methods: The data from the 2014 China Labor-force Dynamic Survey were used to analyze the association of job burnout with subjective well-being and health status among 7289 employees aged 18-64 years from 29 provinces in China.Some items from the Maslach Burnout Inventory-General Survey were used to investigate job burnout; subjective well-being assessment included life happiness and degree of satisfaction with living condition; the questions for self-evaluation of health status were used to analyze health status. Results: Of all employees,30.5% had low subjective well-being and 4.7% had poor health status based on self-evaluation. The logistic regression analysis showed that emotional exhaustion(two items), reduced sense of personal accomplishment,and cynicism were risk factors for low subjective well-being(OR=1.07,1.11,1.10,and 1.06,P<0.001),and emotional exhaustion(two items)was a risk factor for poor health status (OR=1.10 and 1.07,P<0.001).Reduced sense of personal accomplishment and cynicism had no significant influence on health status(P>0.05). Conclusion Emotional exhaustion is a major influencing factor for health status,and reducing job burnout may be an effective method for improving subjective well-being and health status.