1.The effect of diabetic education on the patients using insulin treatment
Lifeng FAN ; Xiaoqun ZHANG ; Junyin ZHU
Chinese Journal of Diabetes 2000;8(3):148-151
Objective To study the effect of diabetic education on the patients using insulin treatment.Methods 41 cases of diabetes were trained in three different ways:group education,individual education and self education in the hospital for three to four weeks by a team of nurses.Results The results showed that the total average test score was increased by 4.44 after education.The average test scores was 9.37±0.45 after education and higher than before education (4.93±0.59) ( P <0.001).12.4% of the patients got full scores after education,34.1% of the patients got the excellent scores (≥8) before education.82.9% of patients got excellent scores after education.41.5% of the patients got low scores (<3) before education,and it was only 3.1% after education.For diabetic knowledge accumulating,the effects were significant ( P <0.001).The self care skill and knowledge such as self monitor of blood glucose and urine glucose,foot care were improved ( P <0.001).By education,diet control,exercise,oral hypoglycemic durgs and insulin treatment,FBS and PBS of patients were efficiently controled ( P <0.001).Conclusion Education is an important way for the patients to learn diabetic knowledge,improve the ability of self management
2.Comparative Analysis of the Components of Volatile Oil in Citrus medica from Different Producing Areas
Yongyan ZHAO ; Junyin ZHANG ; Teng PENG ; Peiyu HE ; Yu KUANG
China Pharmacy 2020;31(4):423-428
OBJECTIVE:To compare th e difference of the components of volatile oil in Citrus medica from different producing areas. METHODS :The volatile oil of C. medica from 10 different producing areas was extracted with steam distillation ,and the yield was calculated. The components of the volatile oil of C. medica from different producing areas were analyzed by GC-MS. The compounds were retrieved from NIST 14.L mass spectrum database and identified. Relative mass fraction of chemical component was determined by peak area normalization method. Cluster analysis of samples were performed by using SPSS 20.0 software. RESULTS:The yields of volatile oil of C. medica from 10 different producing areas were 0.10%-1.75%,among which sample from Qianwei county in Leshan city of Sichuan province was the highest (1.75%). A total of 66 components were identified in the volatile oil of C. medica from different producing areas ,with a relative molecular weight of 126.20-392.66. The majority was C 10 and C 15 compounds;isomers with relative molecular weight of 136,154 took up the great proportion ,which were mainly cycloalkane monoterpenes. There were 12 common components in the volatile oil of C. medica from different areas ,which were limonene(24.90%),terpinene(14.71%),(-)-4 terpineol(2.88%),citral(2.33%),α-myrrhene(2.33%),geraniol(1.52%), α-pinene(1.37%),trans bergamot olene (1.16%),isoterpinene(1.13%),methyl palmitate (1.12%),linalool(1.09%)and geranyl acetate(1.04%)according to relative mass fraction ;8 of them were monoterpenes ,2 were sesquiterpenes and 2 were esters. There were 4 categories of C. medica from different producing areas ,i.e. S 2,S4,S6 clustered into one ;S1,S3,S7,S8 clustered into one ; S5 and S 10 clustered into one ;S9 as one . CONCLUSIONS : There are some difference of the components in volatile oil of medica from different producing areas ,and the content of the same component also has great difference in the volatile oil of C. medica from different producing areas.
3.Study on the Separation and Purification Technology of Total Flavonoids from Sparganium stoloni by Box-Behnken Design- response Surface Methodology
Yu KUANG ; Yongyan ZHAO ; Peiyu HE ; Junyin ZHANG ; Yan ZHOU ; Teng PENG ; Chenghao YU
China Pharmacy 2019;30(11):1502-1506
OBJECTIVE: To optimize the purification technology of total flavonoids from Sparganium stoloniferum. METHODS: Separation and purification by macroporus adsorption resin, using sample solution pH, flow rate and concentration of eluent, the purification rate of total flavonoids as evalution indexes, the purification technology of total flavonoids from S. stoloniferum were optimized by Box-Behnken design-response surface methodology based on single factor test. Validation test was conducted. RESULTS: The optimal purification technology was sample solution pH 4.8, flow rate of eluent 2.0 BV/h, concentration of eluent 72%. The purification rate of total flavonoids in 3 batches of samples was 72.34% (RSD=1.77%, n=3) in validation test, relative errors of which to predicted value (73.99%) was 2.13%. CONCLUSIONS: The optimal purification technology is stable and feasible, and can be used for the purification of total flavonoids from S. stoloniferum.