建立一种采用液相色谱法同时测定亚麻荠植株中8种酚酸和黄酮化合物含量的方法,并探讨亚麻荠植株醇提物的体外抗氧化活性。试验确定采用体积分数75%乙醇回流提取样品,选用Angilent Eclipse XDB plus C_(18)柱为色谱柱。结果表明:8种化合...建立一种采用液相色谱法同时测定亚麻荠植株中8种酚酸和黄酮化合物含量的方法,并探讨亚麻荠植株醇提物的体外抗氧化活性。试验确定采用体积分数75%乙醇回流提取样品,选用Angilent Eclipse XDB plus C_(18)柱为色谱柱。结果表明:8种化合物的标准曲线回归方程线性关系良好,相关系数均大于0.999;8种化合物的加标回收率为95.26%~102.61%,建立的方法可以对不同产地的亚麻荠植株样品进行区分。抗氧化试验表明,亚麻荠植株醇提取物对羟基自由基与DPPH自由基具有较好的清除能力。展开更多
Taking Shandong Province as the research object,this paper uses the principal component analysis method to evaluate the status of the rural human settlement in Shandong Province.It establishes the evaluation index sys...Taking Shandong Province as the research object,this paper uses the principal component analysis method to evaluate the status of the rural human settlement in Shandong Province.It establishes the evaluation index system of the rural residential environment in Shandong Province,including living environment,economy,infrastructure,public service facilities,and ecological environment,in total five comprehensive index,and 20 secondary indexes.Through measurement and sorting of rural human environment development level of Shandong Province in 2010,the 17 cities are divided into-excellent,good,ordinary,poor-four development areas and are analyzed based on the restriction factor in the development of the region.展开更多
Keibul Lamjao National Park （KLNP）, a floating park in Loktak Lake, Manipur （India） was studied from Winter （WIN） to Post Monsoon （POM） for its zooplankton composition and some selected water parameters. The r...Keibul Lamjao National Park （KLNP）, a floating park in Loktak Lake, Manipur （India） was studied from Winter （WIN） to Post Monsoon （POM） for its zooplankton composition and some selected water parameters. The resultant data were subjected to multivariate techniques---Principal Component Analysis （PCA） and Canonical Correspondence Analysis （CCA）. Analyses of water parameters with PCA revealed that the first PC axis （PC 1） accounts for maximum variance in the seasonal data, explaining a variability of 91%. The PCA revealed that the seasonal variability in water parameters was due to the wet and dry cycle of seasons and the stations were distinguished on the basis of transparency and turbidity. Zooplankton abundance was dominated by copepods followed by cladocerans. Temporally, abundance of copepods reached a maximum during Post-monsoon （POM） （3 880 ind./L）. Spatially, $6 was found to be most abundant of the other stations in zooplankton. Copepodites and nauplii larvae were the major components of zooplankton. The Rotifera were the least abundant among the three zooplankton groups. Brachionus formed the major component of Rotifera zooplankton at all the stations during the study period. In the Cladocera, Macrothrix was present during all the four seasons, while Pleuroxus, Oxyurella, Kurzia and, Diaphanosoma were rare. The CCA shows that maximal temporal variability in zooplankton abundance was explained by temperature and rainfall. ANOVA revealed no significant difference in mean zooplankton abundance among the seasons, but there was a statistically significant difference among the sites.展开更多
A hundred and twenty-one households in Yujiang county, Jiangxi province were investigated by adopting questionnaire method, and the evaluation system of index was established according to the integrative, hierarchical...A hundred and twenty-one households in Yujiang county, Jiangxi province were investigated by adopting questionnaire method, and the evaluation system of index was established according to the integrative, hierarchical, scientific, practical, comparative and dynamic principles. The investigation data were firstly standardized and then processed with SPSS software. The index weight was confirmed by principal component analysis. Finally, the evaluation scale of ecoagriculture was calculated. The results showed that the evaluation value ranged from 0.141 to 0.689 for 121 households. Agricultural status of 113 households got the primary phase of ecoagriculture which accounting for 93.38%; 7 households into the second phase, representing 5.79% and only 1 household into the third phase according to the evaluation value. However, the ecoagriculture was divided into 5 stages, according to the evaluation value. Therefore, the ecoagriculture has huge potential to develop in red soil area, China.展开更多
文摘建立一种采用液相色谱法同时测定亚麻荠植株中8种酚酸和黄酮化合物含量的方法,并探讨亚麻荠植株醇提物的体外抗氧化活性。试验确定采用体积分数75%乙醇回流提取样品,选用Angilent Eclipse XDB plus C_(18)柱为色谱柱。结果表明:8种化合物的标准曲线回归方程线性关系良好,相关系数均大于0.999;8种化合物的加标回收率为95.26%~102.61%,建立的方法可以对不同产地的亚麻荠植株样品进行区分。抗氧化试验表明,亚麻荠植株醇提取物对羟基自由基与DPPH自由基具有较好的清除能力。
基金founded by the Social Science Planning and Research Project of Shandong Province (Grant No.09CJGZ45)
文摘Taking Shandong Province as the research object,this paper uses the principal component analysis method to evaluate the status of the rural human settlement in Shandong Province.It establishes the evaluation index system of the rural residential environment in Shandong Province,including living environment,economy,infrastructure,public service facilities,and ecological environment,in total five comprehensive index,and 20 secondary indexes.Through measurement and sorting of rural human environment development level of Shandong Province in 2010,the 17 cities are divided into-excellent,good,ordinary,poor-four development areas and are analyzed based on the restriction factor in the development of the region.
基金Supported by the University Grant Commission(UGC),New Delhi,India,under the Junior Research Fellowship(JRF-NET)scheme
文摘Keibul Lamjao National Park （KLNP）, a floating park in Loktak Lake, Manipur （India） was studied from Winter （WIN） to Post Monsoon （POM） for its zooplankton composition and some selected water parameters. The resultant data were subjected to multivariate techniques---Principal Component Analysis （PCA） and Canonical Correspondence Analysis （CCA）. Analyses of water parameters with PCA revealed that the first PC axis （PC 1） accounts for maximum variance in the seasonal data, explaining a variability of 91%. The PCA revealed that the seasonal variability in water parameters was due to the wet and dry cycle of seasons and the stations were distinguished on the basis of transparency and turbidity. Zooplankton abundance was dominated by copepods followed by cladocerans. Temporally, abundance of copepods reached a maximum during Post-monsoon （POM） （3 880 ind./L）. Spatially, $6 was found to be most abundant of the other stations in zooplankton. Copepodites and nauplii larvae were the major components of zooplankton. The Rotifera were the least abundant among the three zooplankton groups. Brachionus formed the major component of Rotifera zooplankton at all the stations during the study period. In the Cladocera, Macrothrix was present during all the four seasons, while Pleuroxus, Oxyurella, Kurzia and, Diaphanosoma were rare. The CCA shows that maximal temporal variability in zooplankton abundance was explained by temperature and rainfall. ANOVA revealed no significant difference in mean zooplankton abundance among the seasons, but there was a statistically significant difference among the sites.
文摘A hundred and twenty-one households in Yujiang county, Jiangxi province were investigated by adopting questionnaire method, and the evaluation system of index was established according to the integrative, hierarchical, scientific, practical, comparative and dynamic principles. The investigation data were firstly standardized and then processed with SPSS software. The index weight was confirmed by principal component analysis. Finally, the evaluation scale of ecoagriculture was calculated. The results showed that the evaluation value ranged from 0.141 to 0.689 for 121 households. Agricultural status of 113 households got the primary phase of ecoagriculture which accounting for 93.38%; 7 households into the second phase, representing 5.79% and only 1 household into the third phase according to the evaluation value. However, the ecoagriculture was divided into 5 stages, according to the evaluation value. Therefore, the ecoagriculture has huge potential to develop in red soil area, China.
