Kaempferol(KA),as one of the flavonoids,has extensive pharmacological properties.However,the poor solubility of KA severely limits its clinical application.In our study,the kaempferol phospholipid complex(KA-PC)has be...Kaempferol(KA),as one of the flavonoids,has extensive pharmacological properties.However,the poor solubility of KA severely limits its clinical application.In our study,the kaempferol phospholipid complex(KA-PC)has been prepared by solvent evaporation for the enhancement of the bioavailability of KA.KA-PC was verified by scanning electron microscope characterization methods.Drug loading,solubility and long-term stability were measured.The characterization results showed that KA-PC was formed through the intermolecular interaction between KA and phospholipids.The solubility of KA-PC in water was 189 times higher than that of KA,and the solubility in n-octanol was also significantly improved.Besides,pharmacodynamic studies showed that KA-PC can significantly reduce the level of serum uric acid in mice without causing renal injury.This study expanded the clinical application of KA by preparing KA-PC.展开更多
In this work,the effect of ammonium sulfate on the adsorption characteristics of low-concentration Pb(Ⅱ)ions on the sulfidized hemimorphite surface was comprehensively investigated.The results showed that ammonium su...In this work,the effect of ammonium sulfate on the adsorption characteristics of low-concentration Pb(Ⅱ)ions on the sulfidized hemimorphite surface was comprehensively investigated.The results showed that ammonium sulfate could increase the maximum recovery of hemimorphite from 69.42%to 88.24%under a low concentration of Pb(Ⅱ)ions.On the hemimorphite surface pretreated with ammonium sulfate,the adsorption of Pb(Ⅱ)ions was enhanced and the main species of Pb adsorbed was changed from Pb―O/OH to PbS.This was due to the larger amount of ZnS providing more effective adsorption sites for Pb components to generate Pb S.Meanwhile,the intensity of ZnS decreased with the formation of PbS,demonstrating that ZnS was covered by PbS which formed later on the mineral surface.It was beneficial for the adsorption of butyl xanthate on the hemimorphite surface to form more hydrophobic substances.As a result,ammonium sulfate played a crucial role in realizing the efficient recovery of hemimorphite.展开更多
Colleges and universities, as important educational institutions of training professional personnel, should make a change to the curriculum setting along with the changed demands of market on personnel. In this proces...Colleges and universities, as important educational institutions of training professional personnel, should make a change to the curriculum setting along with the changed demands of market on personnel. In this process, art can be used by them as a key course in teaching. On the one hand, the improvement of art education in colleges and universities can provide students with increasingly more learning opportunities in professional learning, so that the professional quality of students can be promoted to reach a corresponding level in a certain period. On the other hand, art education has exerted a variety of positive roles in promoting the construction of campus culture, and especially has promoted the students in colleges and universities to get objective cultural knowledge in ideology. Therefore, this is analyzed by the author in this paper.展开更多
To explore the mechanism of hypolipidemic action of wolfberry polyphenols by using network pharmacology and molecular docking.The active ingredients and targets of wolfberry were searched by TCMSP,and the Cytoscape 3....To explore the mechanism of hypolipidemic action of wolfberry polyphenols by using network pharmacology and molecular docking.The active ingredients and targets of wolfberry were searched by TCMSP,and the Cytoscape 3.9.0 software was used to construct a“wolfberry component-target”network.The Gene Cards database was used to screen the hyperlipidemic targets and intersect them with the active targets of wolfberry to construct the PPI network using the STRING platform.The gene ontology(GO)function and Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis of the core targets were carried out on the Metascape platform,and molecular docking of the active ingredients to the core targets was performed using AutoDockTools software.A total of 33 active ingredients and 173 potential targets of wolfberry were screened,including 99 targets related to hyperlipidemia.The results of the analysis of 99 intersecting targets with the components of wolfberry identified the core active ingredients as quercetin,glycitein and atropine.The binding of the major components of wolfberry,including the polyphenolic compounds quercetin and glycitein,as well as atropine to the key targets AKT1,IL6 and TNF may be important mechanisms for the hypolipidemic therapeutic effect.GO functional enrichment analysis involves biological processes,cellular components,and molecular functions.The KEGG pathway enrichment analysis mainly involves the AGE-RAGE signaling pathway,fluid shear stress,and TNF signaling pathway.Molecular docking validated the good binding activity of the targets to the active ingredients.The binding of atropine and the polyphenolic compounds quercetin and glycitein to the key targets AKT1,IL6 and TNF may be an important mechanism for the hypolipidemic therapeutic effect of wolfberry.展开更多
Hyperuricemia is a metabolic condition caused by unbalanced production or excretion of serum uric acid(SUA)in the human body.Dietary polyphenols are non-nutritive compounds with prophylactic activity,mainly found in v...Hyperuricemia is a metabolic condition caused by unbalanced production or excretion of serum uric acid(SUA)in the human body.Dietary polyphenols are non-nutritive compounds with prophylactic activity,mainly found in vegetables,fruits and other foods and herbs.Polyphenols have antibacterial,anti-inflammatory,antithrombotic and anticancer properties.Studies have shown that dietary polyphenols,such as phenolic acids and flavonoids have a significant effect on hyperuricemia.Unlike chemical drugs,dietary plant polyphenols have few side effects in the treatment of hyperuricemia.This review comprehensively discusses the dietary polyphenols in fruits,including phenolic acids,flavonoids,stilbene and lignans,and expounds their mechanism of action,which can provide a reference for the consumption of fruits in patients with hyperuricemia.展开更多
Hyperuricemia(HUA)is a common metabolic condition associated with a variety of diseases,mainly manifested by the increase in uric acid(UA)levels.As xanthine oxidase(XOD)is the key enzyme in UA production,it has become...Hyperuricemia(HUA)is a common metabolic condition associated with a variety of diseases,mainly manifested by the increase in uric acid(UA)levels.As xanthine oxidase(XOD)is the key enzyme in UA production,it has become a target for treating HUA.In this study,an extract named EESJ was extracted from Sophora japonica using 80%ethanol solution and administered to HUA mice to verify its UA-lowering effect.The results confirmed that administering EESJ could reduce the UA levels in vivo by inhibiting XOD activity,and ameliorating renal injury in a dose-dependent manner.To further study the active components in EESJ,243 chemical components and 32 blood components were identified by the UHPLC-Q-TOF-MS/MS technology,of which flavonoids were the main constituents.The molecular docking results showed that the following six compounds,namely hydroxygenkwanin,genistein,tectorigenin,kaempferol,sophoricoside,and quercetin,had strong binding properties with XOD;among which hydroxygenkwanin had the best binding capacity.In conclusion,this study confirmed that EESJ could effectively reduce UA levels,and speculated the active compounds playing a role in lowering UA levels,which has certain guiding significance for Sophora japonica and natural compounds as potentially effective treatment options for HUA.展开更多
Genistein phospholipid complex(GS-PC)was produced in order to increase the solubility and antioxidant activity of genistein(GS),an insoluble natural polyphenol compound.By using the solvent evaporation process,GS-PC w...Genistein phospholipid complex(GS-PC)was produced in order to increase the solubility and antioxidant activity of genistein(GS),an insoluble natural polyphenol compound.By using the solvent evaporation process,GS-PC was produced.Several characteristics techniques were used to confi rm the production of GS-PC,and its physicochemical characteristics and antioxidant activity were investigated.The outcome showed that GS-PC had a recombination rate of 96.84%±0.51%.The characterization results confi rmed that GS-PC was formed by the intermolecular interaction between GS and phospholipids.In vitro antioxidant studies showed that GS-PC had a certain scavenging ability on DPPH free radicals,ABTS free radicals and hydroxyl free radicals.In summary,the results of this study indicated that GS-PC could be used as a formula to improve its solubility and antioxidant activity.展开更多
Degradation prediction of proton exchange membrane fuel cell(PEMFC)stack is of great significance for improving the rest useful life.In this study,a PEMFC system including a stack of 300 cells and subsystems has been ...Degradation prediction of proton exchange membrane fuel cell(PEMFC)stack is of great significance for improving the rest useful life.In this study,a PEMFC system including a stack of 300 cells and subsystems has been tested under semi-steady operations for about 931 h.Then,two different models are respectively established based on semi-empirical method and data-driven method to investigate the degradation of stack performance.It is found that the root mean square error(RMSE)of the semi-empirical model in predicting the stack voltage is around 1.0 V,while the predicted voltage has no local dynamic characteristics,which can only reflect the overall degradation trend of stack performance.The RMSE of short-term voltage degradation predicted by the DDM can be less than 1.0 V,and the predicted voltage has accurate local variation characteristics.However,for the long-term prediction,the error will accumulate with the iterations and the deviation of the predicted voltage begins to fluctuate gradually,and the RMSE for the long-term predictions can increase to 1.63 V.Based on the above characteristics of the two models,a hybrid prediction model is further developed.The prediction results of the semi-empirical model are used to modify the input of the data-driven model,which can effectively improve the oscillation of prediction results of the data-driven model during the long-term degradation.It is found that the hybrid model has good error distribution(RSEM=0.8144 V,R2=0.8258)and local performance dynamic characteristics which can be used to predict the process of long-term stack performance degradation.展开更多
Objectives:The composition and content of fatty acids are critical indicators of vegetable oil quality.To overcome the drawbacks of traditional detection methods,Raman spectroscopy was investigated for the fast determ...Objectives:The composition and content of fatty acids are critical indicators of vegetable oil quality.To overcome the drawbacks of traditional detection methods,Raman spectroscopy was investigated for the fast determination of the fatty acids composition of oil.Materials and Methods:Rapeseed and soybean oil at different depths of the oil tank at different storage times were collected and an eighth-degree polynomial function was used to fit the Raman spectrum.Then,the multivariate scattering correction,standard normal variable transformation(SNV),and Savitzky–Golay convolution smoothing methods were compared.Results:Polynomial fitting combined with SNV was found to be the optimal pretreatment method.Characteristic wavelengths were selected by competitive adaptive reweighted sampling.For monounsaturated fatty acids(MUFAs),polyunsaturated fatty acids(PUFAs),and saturated fatty acids(SFAs),44,75,and 92 characteristic wavelengths of rapeseed oil,and 60,114,and 60 characteristic wavelengths of soybean oil were extracted.Support vector regression was used to establish the prediction model.The R^(2)values of the prediction results of MUFAs,PUFAs,and SFAs for rapeseed oil were 0.9670,0.9568,and 0.9553,and the root mean square error(RMSE)values were 0.0273,0.0326,and 0.0340,respectively.The R^(2)values of the prediction results of fatty acids for soybean oil were respectively 0.9414,0.9562,and 0.9422,and RMSE values were 0.0460,0.0378,and 0.0548,respectively.A good correlation coefficient and small RMSE value were obtained,indicating the results to be highly accurate and reliable.Conclusions:Raman spectroscopy,based on competitive adaptive reweighted sampling coupled with support vector regression,can rapidly and accurately analyze the fatty acid composition of vegetable oil.展开更多
基金funded by Young and Middle Aged Teachers’Career Development Support Project of Shenyang Pharmaceutical University(ZQN2019005).
文摘Kaempferol(KA),as one of the flavonoids,has extensive pharmacological properties.However,the poor solubility of KA severely limits its clinical application.In our study,the kaempferol phospholipid complex(KA-PC)has been prepared by solvent evaporation for the enhancement of the bioavailability of KA.KA-PC was verified by scanning electron microscope characterization methods.Drug loading,solubility and long-term stability were measured.The characterization results showed that KA-PC was formed through the intermolecular interaction between KA and phospholipids.The solubility of KA-PC in water was 189 times higher than that of KA,and the solubility in n-octanol was also significantly improved.Besides,pharmacodynamic studies showed that KA-PC can significantly reduce the level of serum uric acid in mice without causing renal injury.This study expanded the clinical application of KA by preparing KA-PC.
基金the Fundamental Research Funds for the Central Universities(Nos.2022JCCXHH09 and 2022YJSHH01)the Yueqi Outstanding Scholar award of CUMTB+3 种基金the National Key R&D Program of China(No.SQ2022YFC2900065)the Ordos Science&Technology Plan(No.202204)the National Natural Science Foundation of China(No.52274283)the Open Research Fund of State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization(No.CNMRCUKF2107)。
文摘In this work,the effect of ammonium sulfate on the adsorption characteristics of low-concentration Pb(Ⅱ)ions on the sulfidized hemimorphite surface was comprehensively investigated.The results showed that ammonium sulfate could increase the maximum recovery of hemimorphite from 69.42%to 88.24%under a low concentration of Pb(Ⅱ)ions.On the hemimorphite surface pretreated with ammonium sulfate,the adsorption of Pb(Ⅱ)ions was enhanced and the main species of Pb adsorbed was changed from Pb―O/OH to PbS.This was due to the larger amount of ZnS providing more effective adsorption sites for Pb components to generate Pb S.Meanwhile,the intensity of ZnS decreased with the formation of PbS,demonstrating that ZnS was covered by PbS which formed later on the mineral surface.It was beneficial for the adsorption of butyl xanthate on the hemimorphite surface to form more hydrophobic substances.As a result,ammonium sulfate played a crucial role in realizing the efficient recovery of hemimorphite.
文摘Colleges and universities, as important educational institutions of training professional personnel, should make a change to the curriculum setting along with the changed demands of market on personnel. In this process, art can be used by them as a key course in teaching. On the one hand, the improvement of art education in colleges and universities can provide students with increasingly more learning opportunities in professional learning, so that the professional quality of students can be promoted to reach a corresponding level in a certain period. On the other hand, art education has exerted a variety of positive roles in promoting the construction of campus culture, and especially has promoted the students in colleges and universities to get objective cultural knowledge in ideology. Therefore, this is analyzed by the author in this paper.
文摘To explore the mechanism of hypolipidemic action of wolfberry polyphenols by using network pharmacology and molecular docking.The active ingredients and targets of wolfberry were searched by TCMSP,and the Cytoscape 3.9.0 software was used to construct a“wolfberry component-target”network.The Gene Cards database was used to screen the hyperlipidemic targets and intersect them with the active targets of wolfberry to construct the PPI network using the STRING platform.The gene ontology(GO)function and Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis of the core targets were carried out on the Metascape platform,and molecular docking of the active ingredients to the core targets was performed using AutoDockTools software.A total of 33 active ingredients and 173 potential targets of wolfberry were screened,including 99 targets related to hyperlipidemia.The results of the analysis of 99 intersecting targets with the components of wolfberry identified the core active ingredients as quercetin,glycitein and atropine.The binding of the major components of wolfberry,including the polyphenolic compounds quercetin and glycitein,as well as atropine to the key targets AKT1,IL6 and TNF may be important mechanisms for the hypolipidemic therapeutic effect.GO functional enrichment analysis involves biological processes,cellular components,and molecular functions.The KEGG pathway enrichment analysis mainly involves the AGE-RAGE signaling pathway,fluid shear stress,and TNF signaling pathway.Molecular docking validated the good binding activity of the targets to the active ingredients.The binding of atropine and the polyphenolic compounds quercetin and glycitein to the key targets AKT1,IL6 and TNF may be an important mechanism for the hypolipidemic therapeutic effect of wolfberry.
基金supported by Young and Middle Aged Teachers’Career Development Support Project of Shenyang Pharmaceutical University(ZQN2019005).
文摘Hyperuricemia is a metabolic condition caused by unbalanced production or excretion of serum uric acid(SUA)in the human body.Dietary polyphenols are non-nutritive compounds with prophylactic activity,mainly found in vegetables,fruits and other foods and herbs.Polyphenols have antibacterial,anti-inflammatory,antithrombotic and anticancer properties.Studies have shown that dietary polyphenols,such as phenolic acids and flavonoids have a significant effect on hyperuricemia.Unlike chemical drugs,dietary plant polyphenols have few side effects in the treatment of hyperuricemia.This review comprehensively discusses the dietary polyphenols in fruits,including phenolic acids,flavonoids,stilbene and lignans,and expounds their mechanism of action,which can provide a reference for the consumption of fruits in patients with hyperuricemia.
基金This research was funded by Young and Middle Aged Teachers’Career Development Support Project of Shenyang Pharmaceutical University(ZQN2019005).
文摘Hyperuricemia(HUA)is a common metabolic condition associated with a variety of diseases,mainly manifested by the increase in uric acid(UA)levels.As xanthine oxidase(XOD)is the key enzyme in UA production,it has become a target for treating HUA.In this study,an extract named EESJ was extracted from Sophora japonica using 80%ethanol solution and administered to HUA mice to verify its UA-lowering effect.The results confirmed that administering EESJ could reduce the UA levels in vivo by inhibiting XOD activity,and ameliorating renal injury in a dose-dependent manner.To further study the active components in EESJ,243 chemical components and 32 blood components were identified by the UHPLC-Q-TOF-MS/MS technology,of which flavonoids were the main constituents.The molecular docking results showed that the following six compounds,namely hydroxygenkwanin,genistein,tectorigenin,kaempferol,sophoricoside,and quercetin,had strong binding properties with XOD;among which hydroxygenkwanin had the best binding capacity.In conclusion,this study confirmed that EESJ could effectively reduce UA levels,and speculated the active compounds playing a role in lowering UA levels,which has certain guiding significance for Sophora japonica and natural compounds as potentially effective treatment options for HUA.
文摘Genistein phospholipid complex(GS-PC)was produced in order to increase the solubility and antioxidant activity of genistein(GS),an insoluble natural polyphenol compound.By using the solvent evaporation process,GS-PC was produced.Several characteristics techniques were used to confi rm the production of GS-PC,and its physicochemical characteristics and antioxidant activity were investigated.The outcome showed that GS-PC had a recombination rate of 96.84%±0.51%.The characterization results confi rmed that GS-PC was formed by the intermolecular interaction between GS and phospholipids.In vitro antioxidant studies showed that GS-PC had a certain scavenging ability on DPPH free radicals,ABTS free radicals and hydroxyl free radicals.In summary,the results of this study indicated that GS-PC could be used as a formula to improve its solubility and antioxidant activity.
基金supported by the National Key Research and Development Program of China(Grant No.SQ2021YFE011145)the Science and Technology Development Program of Jilin Province(Grant No.20200501010GX).
文摘Degradation prediction of proton exchange membrane fuel cell(PEMFC)stack is of great significance for improving the rest useful life.In this study,a PEMFC system including a stack of 300 cells and subsystems has been tested under semi-steady operations for about 931 h.Then,two different models are respectively established based on semi-empirical method and data-driven method to investigate the degradation of stack performance.It is found that the root mean square error(RMSE)of the semi-empirical model in predicting the stack voltage is around 1.0 V,while the predicted voltage has no local dynamic characteristics,which can only reflect the overall degradation trend of stack performance.The RMSE of short-term voltage degradation predicted by the DDM can be less than 1.0 V,and the predicted voltage has accurate local variation characteristics.However,for the long-term prediction,the error will accumulate with the iterations and the deviation of the predicted voltage begins to fluctuate gradually,and the RMSE for the long-term predictions can increase to 1.63 V.Based on the above characteristics of the two models,a hybrid prediction model is further developed.The prediction results of the semi-empirical model are used to modify the input of the data-driven model,which can effectively improve the oscillation of prediction results of the data-driven model during the long-term degradation.It is found that the hybrid model has good error distribution(RSEM=0.8144 V,R2=0.8258)and local performance dynamic characteristics which can be used to predict the process of long-term stack performance degradation.
基金funded by the Key Science and Technology Program of Henan Province under Grant No.212102110262Science and Technology Plan Project of Henan Provincial Market Supervision and Administration Bureau under Grant No.2021sj40+1 种基金the Key Research Program of Zhejiang Province under Grant No.2020C02018Scientific Research Projects for College Students under Grant No.2020KX0006,China.The authors acknowledge the support.
文摘Objectives:The composition and content of fatty acids are critical indicators of vegetable oil quality.To overcome the drawbacks of traditional detection methods,Raman spectroscopy was investigated for the fast determination of the fatty acids composition of oil.Materials and Methods:Rapeseed and soybean oil at different depths of the oil tank at different storage times were collected and an eighth-degree polynomial function was used to fit the Raman spectrum.Then,the multivariate scattering correction,standard normal variable transformation(SNV),and Savitzky–Golay convolution smoothing methods were compared.Results:Polynomial fitting combined with SNV was found to be the optimal pretreatment method.Characteristic wavelengths were selected by competitive adaptive reweighted sampling.For monounsaturated fatty acids(MUFAs),polyunsaturated fatty acids(PUFAs),and saturated fatty acids(SFAs),44,75,and 92 characteristic wavelengths of rapeseed oil,and 60,114,and 60 characteristic wavelengths of soybean oil were extracted.Support vector regression was used to establish the prediction model.The R^(2)values of the prediction results of MUFAs,PUFAs,and SFAs for rapeseed oil were 0.9670,0.9568,and 0.9553,and the root mean square error(RMSE)values were 0.0273,0.0326,and 0.0340,respectively.The R^(2)values of the prediction results of fatty acids for soybean oil were respectively 0.9414,0.9562,and 0.9422,and RMSE values were 0.0460,0.0378,and 0.0548,respectively.A good correlation coefficient and small RMSE value were obtained,indicating the results to be highly accurate and reliable.Conclusions:Raman spectroscopy,based on competitive adaptive reweighted sampling coupled with support vector regression,can rapidly and accurately analyze the fatty acid composition of vegetable oil.