Nine new gastrodin derivatives,including seven p-hydroxybenzyl-modified gastrodin ethers(1-7),6′-O-acetylgastrodin(8),and 4-[α-d-glucopyranosyl-(1→6)-β-d-glucopyranosyloxy]benzyl alcohol(9),together with seven kno...Nine new gastrodin derivatives,including seven p-hydroxybenzyl-modified gastrodin ethers(1-7),6′-O-acetylgastrodin(8),and 4-[α-d-glucopyranosyl-(1→6)-β-d-glucopyranosyloxy]benzyl alcohol(9),together with seven known derivatives,were isolated from an aqueous extract of Gastrodia elata(“tian ma”)rhizomes.Their structures were determined by spectroscopic and chemical methods as well as single crystal X-ray diffraction.Compounds 1-4,7,10,and 11 were also isolated from a reaction mixture by refluxing gastrodin and p-hydroxybenzyl alcohol in H2O.As both gastrodin and p-hydroxybenzyl alcohol exist in the plant,the reaction results provide evidence for the production and increase/decrease of potential effective/toxic components when“tian ma”is decocted solely or together with ingredients in Chinese traditional medicine formulations,though the isolates were inactive in the preliminarily cell-based assays at concentrations of 10μM.Moreover,using ultra-performance liquid chromatography high-resolution electrospray ionization mass spectrometry(UPLC-HRESIMS),4,7,10,and 11,as well as component variations,were detectable in the freshly prepared extracts of different types of samples,including the freeze-dried fresh G.elata rhizomes.展开更多
Size-resolved aerosol samples were collected by MOUDI in four seasons in 2007 in Beijing. The PM10 and PM1.8mass concentrations were 166.0 ± 120.5 and 91.6 ± 69.7 μg/m^3, respectively,throughout the measure...Size-resolved aerosol samples were collected by MOUDI in four seasons in 2007 in Beijing. The PM10 and PM1.8mass concentrations were 166.0 ± 120.5 and 91.6 ± 69.7 μg/m^3, respectively,throughout the measurement, with seasonal variation： nearly two times higher in autumn than in summer and spring. Serious fine particle pollution occurred in winter with the PM1.8/PM10 ratio of 0.63, which was higher than other seasons. The size distribution of PM showed obvious seasonal and diurnal variation, with a smaller fine mode peak in spring and in the daytime. OM（organic matter = 1.6 × OC（organic carbon）） and SIA（secondary inorganic aerosol） were major components of fine particles, while OM, SIA and Ca^2＋were major components in coarse particles. Moreover, secondary components, mainly SOA（secondary organic aerosol） and SIA,accounted for 46%-96% of each size bin in fine particles, which meant that secondary pollution existed all year. Sulfates and nitrates, primarily in the form of（NH4）2SO4, NH4NO3, Ca SO4, Na2SO4 and K2SO4, calculated by the model ISORROPIA II, were major components of the solid phase in fine particles. The PM concentration and size distribution were similar in the four seasons on non-haze days, while large differences occurred on haze days, which indicated seasonal variation of PM concentration and size distribution were dominated by haze days. The SIA concentrations and fractions of nearly all size bins were higher on haze days than on non-haze days, which was attributed to heterogeneous aqueous reactions on haze days in the four seasons.展开更多
Zhengzhou is a developing city in China, that is heavily polluted by high levels of particulate matter. In this study, fine particulate matter （PM2.5） was collected and analyzed for their chemical composition （solu...Zhengzhou is a developing city in China, that is heavily polluted by high levels of particulate matter. In this study, fine particulate matter （PM2.5） was collected and analyzed for their chemical composition （soluble ions, elements, elemental carbon （EC） and organic carbon （OC）） in an industrial district of Zhengzhou in 2010. The average concentrations of PM2.5 were 181, 122, 186 and 211 μg/m3 for spring, summer, autumn and winter, respectively, with an annual average of 175 μg/m3, far exceeding the PM2.5 regulation of USA National Air Quality Standards （15 μg/m3）. The dominant components of PM2.5 in Zhengzhou were secondary ions （sulphate and nitrate） and carbon fractions. Soluble ions, total carbon and elements contributed 41%, 13% and 3% of PM2.5 mass, respectively. Soil dust, secondary aerosol and coal combustion, each contributing about 26%, 24% and 23% of total PM2.5 mass, were the major sources of PM2.5, according to the result of positive matrix factorization analysis. A mixed source of biomass burning, oil combustion and incineration contributed 13% of PM2.5. Fine particulate matter arising from vehicles and industry contributed about 10% and 4% of PM2.5, respectively.展开更多
It is known that size alone, which is often defined as the volume-equivalent diameter, is not sufficient to characterize many particulate products. The shape of crystalline products can be as important as size in many...It is known that size alone, which is often defined as the volume-equivalent diameter, is not sufficient to characterize many particulate products. The shape of crystalline products can be as important as size in many applications, Traditionally, particulate shape is often defined by several simple descriptors such as the maximum length and the aspect ratio. Although these descriptors are intuitive, they result in a loss of information about the original shape. This paper presents a method to use principal component analysis to derive simple latent shape descriptors from microscope images of particulate products made in batch processes, and the use of these descriptors to identify batch-to-batch variations. Data from batch runs of both a laboratory crystalliser and an industrial crystallisation reactor are analysed using the described approach. Qualitative and quantitative comparisons with the use of traditional shape descriptors that have nhwical meanings and Fourier shape descriptors are also made.展开更多
基金Financial support from the National Natural Science Foundation of China(81630094,81502942,and 81730093)CAMS Innovation Fund for Medical Science of China(2016-I2M-1-004,2017-I2M-3-010,and 2016-I2M-1-010)Drug Innovation Major Project(2018ZX09711001-001-001,China)is gratefully acknowledged.
文摘Nine new gastrodin derivatives,including seven p-hydroxybenzyl-modified gastrodin ethers(1-7),6′-O-acetylgastrodin(8),and 4-[α-d-glucopyranosyl-(1→6)-β-d-glucopyranosyloxy]benzyl alcohol(9),together with seven known derivatives,were isolated from an aqueous extract of Gastrodia elata(“tian ma”)rhizomes.Their structures were determined by spectroscopic and chemical methods as well as single crystal X-ray diffraction.Compounds 1-4,7,10,and 11 were also isolated from a reaction mixture by refluxing gastrodin and p-hydroxybenzyl alcohol in H2O.As both gastrodin and p-hydroxybenzyl alcohol exist in the plant,the reaction results provide evidence for the production and increase/decrease of potential effective/toxic components when“tian ma”is decocted solely or together with ingredients in Chinese traditional medicine formulations,though the isolates were inactive in the preliminarily cell-based assays at concentrations of 10μM.Moreover,using ultra-performance liquid chromatography high-resolution electrospray ionization mass spectrometry(UPLC-HRESIMS),4,7,10,and 11,as well as component variations,were detectable in the freshly prepared extracts of different types of samples,including the freeze-dried fresh G.elata rhizomes.
基金supported by the National Natural Science Foundation of China (Nos. 41175018, 41475113)the special fund of the State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (No. LAPC-KF-2014-01)
文摘Size-resolved aerosol samples were collected by MOUDI in four seasons in 2007 in Beijing. The PM10 and PM1.8mass concentrations were 166.0 ± 120.5 and 91.6 ± 69.7 μg/m^3, respectively,throughout the measurement, with seasonal variation： nearly two times higher in autumn than in summer and spring. Serious fine particle pollution occurred in winter with the PM1.8/PM10 ratio of 0.63, which was higher than other seasons. The size distribution of PM showed obvious seasonal and diurnal variation, with a smaller fine mode peak in spring and in the daytime. OM（organic matter = 1.6 × OC（organic carbon）） and SIA（secondary inorganic aerosol） were major components of fine particles, while OM, SIA and Ca^2＋were major components in coarse particles. Moreover, secondary components, mainly SOA（secondary organic aerosol） and SIA,accounted for 46%-96% of each size bin in fine particles, which meant that secondary pollution existed all year. Sulfates and nitrates, primarily in the form of（NH4）2SO4, NH4NO3, Ca SO4, Na2SO4 and K2SO4, calculated by the model ISORROPIA II, were major components of the solid phase in fine particles. The PM concentration and size distribution were similar in the four seasons on non-haze days, while large differences occurred on haze days, which indicated seasonal variation of PM concentration and size distribution were dominated by haze days. The SIA concentrations and fractions of nearly all size bins were higher on haze days than on non-haze days, which was attributed to heterogeneous aqueous reactions on haze days in the four seasons.
基金part of the Science and Technology Plan Project in Zhengzhou funded by Henan Administration of Foreign Experts Affairs and Science and Technology Bureau of Zhengzhou City (grant no.094SYJH36069)support from Peking University and Taiwan Yunlin University of Science and Technology
文摘Zhengzhou is a developing city in China, that is heavily polluted by high levels of particulate matter. In this study, fine particulate matter （PM2.5） was collected and analyzed for their chemical composition （soluble ions, elements, elemental carbon （EC） and organic carbon （OC）） in an industrial district of Zhengzhou in 2010. The average concentrations of PM2.5 were 181, 122, 186 and 211 μg/m3 for spring, summer, autumn and winter, respectively, with an annual average of 175 μg/m3, far exceeding the PM2.5 regulation of USA National Air Quality Standards （15 μg/m3）. The dominant components of PM2.5 in Zhengzhou were secondary ions （sulphate and nitrate） and carbon fractions. Soluble ions, total carbon and elements contributed 41%, 13% and 3% of PM2.5 mass, respectively. Soil dust, secondary aerosol and coal combustion, each contributing about 26%, 24% and 23% of total PM2.5 mass, were the major sources of PM2.5, according to the result of positive matrix factorization analysis. A mixed source of biomass burning, oil combustion and incineration contributed 13% of PM2.5. Fine particulate matter arising from vehicles and industry contributed about 10% and 4% of PM2.5, respectively.
文摘It is known that size alone, which is often defined as the volume-equivalent diameter, is not sufficient to characterize many particulate products. The shape of crystalline products can be as important as size in many applications, Traditionally, particulate shape is often defined by several simple descriptors such as the maximum length and the aspect ratio. Although these descriptors are intuitive, they result in a loss of information about the original shape. This paper presents a method to use principal component analysis to derive simple latent shape descriptors from microscope images of particulate products made in batch processes, and the use of these descriptors to identify batch-to-batch variations. Data from batch runs of both a laboratory crystalliser and an industrial crystallisation reactor are analysed using the described approach. Qualitative and quantitative comparisons with the use of traditional shape descriptors that have nhwical meanings and Fourier shape descriptors are also made.
