ABSTRACT
OBJECTIVE:To study transfer rate of asperosaponinⅥ in standard decoction of Dipsacus asper decoction pieces. METHODS:The content of asperosaponin Ⅵ in Dipsacus asper decoction pieces and its standard decoction was determined by HPLC. The determination was performed on SinoChrom ODS-AP with mobile phase consisted of acetonitrile-water(30∶70,V/V)at the flow rate of 1.0 mL/min. The detection wavelength was set at 212 nm,and column temperature was 30℃. The sample size was 10 μL. By the ingredients content obtained,the transfer rate of asperosaponin Ⅵ was calculated during decoction piece to standard decoction. RESULTS:The linear range of asperosaponin Ⅵ was 0.484-4.84 μ g(r＝0.999 9). RSDs of precision,stability and reproducibility tests were all lower than 2%. The limits of quantification and detection were 0.3 and 0.1 μ g,respectively. The average recoveries in D. asper decoction pieces and standard decoction were 95.13% -100.22%(RSD＝1.78%,n＝6), 97.07%-100.08%(RSD＝0.98%,n＝6). RSD of durability test was lower than 1%.The transfer rate of asperosaponin Ⅵ in standard decoction of D. asper decoction pieces ranged 26.3%-49.5%. CONCLUSIONS:The method is simple,accurate,precise, stable,reproducible and durable,and can be used for transfer rate of asperosaponin Ⅵ in standard decoction of D. asper decoction pieces.
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Objective To determine the allelic frequency distribution and genetic parameters of nine non-CODIS DNA index systems of the short tandemrepeat (STR ) loci (D2S1772, D6S1043, D7S3048, D8S1132, D11S2368, D12S391, D13S325, D18S1364, and GATA198B05). Methods A total of 353 blood samples were collected, extracted, amplified, and analyzed fromunrelated healthy individuals of Han na-tionality in Hunan Province, China. Results O ne hundred and fourteen alleles were observed in the pop-ulation with corresponding allelic frequencies ranged from0.001 0 to 0.323 0. For all the nine non-CODIS STR loci, the observed genotypic data showed no significant deviations fromthe Hardy-W einberg equi-librium. The Ho, He, PIC, D P, and PE of the studied non-CODIS STR loci ranged from0.108 0 to 0.195 0, 0.805 0 to 0.892 0, 0.770 0 to 0.860 0, 0.925 0 to 0.966 0 and 0.607 0 to 0.780 0, respectively. Conclusion N ine non-CODIS STR loci have high degrees of polymorphisms, which may be useful in in-dividual forensic identification and parentage testing in forensic practice.
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Objective To establish the mathematical models of stature estimation for Sichuan Han female with measurement of lumbar vertebrae by X-ray to provide essential data for forensic anthropology re-search. Methods The samples, 206 Sichuan Han females, were divided into three groups including group A, B and C according to the ages. Group A(206 samples) consisted of all ages, group B(116 samples) were 20-45 years old and 90 samples over 45 years old were group C. All the samples were examined lumbar vertebrae through C Rtechnology, including the parameters of five centrums (L1-L5) as anterior border, posterior border and central heights (x1-x15), total central height of lumbar spine (x16), and the real height of every sample.The linear regression analysis was produced using the parameters to establish the mathematical models of stature estimation. Sixty-two trained subjects were tested to verify the accuracy of the mathematical models. Results The established mathematical models by hypothesis test of linear regression equation model were statistically significant (P<0.05).The standard errors of the equation were 2.982-5.004 cm, while correlation coefficients were 0.370-0.779 and multiple correlation coefficients were 0.533-0.834.The return tests of the highest correlation coefficient and multiple correlation coefficient of each group showed that the highest accuracy of the multiple regression equation, y=100.33+1.489 x3-0.548 x6+0.772 x9+0.058 x12+0.645 x15, in group Awere 80.6% (±1SE ) and 100% (±2SE ). Conclusion The established mathematical models in this study could be applied for the stature estimation for Sichuan Han females.
ABSTRACT
Objective To establish the method of estimating the stature with the length of the thoracic segments of spine.Methods By applying technology of digital radiography(DR),the digital radiography of thoracic segments of 514 living subjects from the population of Han of Sichuan in China are obtained,their length of thoracic segments of spine also were measured from the radiograms and the body height of each subject was recorded.Linear regression analysis in grouping was done between the length of thoracic segments of spine and body height,and than the linear regression equations for stature estimation were produced based on the dimensions of thoracic segments.Results 7 regression equations were established from 7 groups(mixture between males and females,males,females,males between 20 and 45 years of age,males greater than 45 years of age,females between 20 and 45 years of age and females greater than 45 years of age).Each equation has been checked by analysis of variance of linear regression model and proved to be appropriate in statistic(P