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Objective To establish a method for simultaneous determination of 11 components of Solanum nigrum from different producing areas,and to evaluate the quality by chemometrics and entropy weight-technique for order preference by similarity to ideal solution(EW-TOPSIS).Methods The 17 batches of Solanum nigrum samples from 8 provinces were collected.The high performance liquid chromatography(HPLC)method was used to simultaneously determine the contents of medioresino,pinoresinol,quercetin,rutoside,solasonine,solamargine,khasianine,solasodine,desgalactotigonin,diosgenin and β-sitosterol,and the multi-components quantitative control mode of Solanum nigrum was established.The quality evaluation model of Solanum nigrum was established by using chemical recognition pattern and EW-TOPSIS method,and the overall quality was evaluated comprehensively.Results When the 11 components were in the 0.78-39.00,0.55-27.50,0.34-17.00,0.21-10.50,41.87-2 093.50,60.95-3 047.50,2.58-129.00,1.02-51.00,0.46-23.00,1.05-52.50 and 0.42-21.00 μg/mL(r＞0.999 0),their linear relationships were good.The average recovery was 96.81％-100.28％with the RSD＜2.0％(n=9).17 batches of samples clustered into 3 categories.Solamargine,solasonine,desgalactotigonin and medioresino may be the main potential markers affecting the quality of Solanum nigrum.The results of EW-TOPSIS method showed that,the quality evaluation closeness of 17 batches of Solanum nigrum were 0.433 6,0.416 8,0.624 2,0.500 8,0.479 1,0.636 1,0.568 3,0.250 0,0.190 9,0.222 1,0.170 7,0.720 0,0.698 3,0.744 7,0.717 9,0.720 9 and 0.718 3,respectively,indicating that the overall quality of Solanum nigrum from Liaoning,Jilin and Heilongjiang were better,followed by Jiangsu,Henan and Anhui.Conclusion The established HPLC method for simultaneous determination of 11 components in Solanum nigrum is convenient and accurate.Chemometrics and EW-TOPSIS method are objective and comprehensive,which can be used for the overall quality evaluation of Solanum nigrum.
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Objective To explore the strategy of constructing a scientific management system for antibiotics in a tertiary hospital,and to provide reference to strengthen the management and rational use of antibiotic.Methods Using PDCA management tools to build a scientifically effective antimicrobial drug management system.Evaluation of management quality of antimicrobial stewardship was constructed by 14 indicators of 5 dimensions.The entropy weight TOPSIS method was used to comprehensively evaluate and analyze the changes in various indicators after the implementation of PDCA improvement.Results Based on the entropy weight TOPSIS analysis,the management quality of antibiotics in 2018 was the lowest with the Ci value 0.313 5,and the management quality of antibiotics in 2022 was the highest with the Ci value 0.747 4.The evaluation of antimicrobial stewardship was divided into five dimensions:for the evaluation of antibiotics use density,the Ci value in 2017 was highest;for the evaluation of antibiotics usage rate,the Ci value in 2021 was the highest;for the evaluation of the submission rate before use of antibiotics,the Ci value in 2022 was the highest;for the evaluation of preventive medication for type I incisions,the Ci value was highest in 2022;the evaluation of the cost dimension of antibiotics for hospitalized patients showed the highest Ci value in 2022.The application of PDCA method for antibiotics management had shown an overall improvement trend.Conclusion Based on PDCA method,collaboration through multiple departments for antibiotics management had achieved significant results.The entropy weight TOPSIS method can be used to evaluate the effectiveness of antibiotics management,to provide reference for the direction of hospital antibiotics control and policy formulation.
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To address the problem of low accuracy in multi-classification recognition of motor imagery electroencephalogram(EEG)signals,a recognition method is proposed based on differential entropy and convolutional neural network for 4-class classification of motor imagery.EEG signals are extracted into 4 frequency bands(Alpha,Beta,Theta,and Gamma)through the filter,followed by the computation of differential entropy for each frequency band.According to the spatial characteristics of brain electrodes,the data structure is reconstructed into three-dimensional EEG signal feature cube which is input into convolutional neural network for 4-class classification.The method achieves an accuracy of 95.88%on the BCI Competition IV-2a public dataset.Additionally,a 4-class classification motor imagery dataset is established in the laboratory for the same processing,and an accuracy of 94.50%is obtained.The test results demonstrate that the proposed method exhibits superior recognition performance.
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Objective It aims to construct an evaluation index system for the development level of intelligent health insurance,which can serve as a reference for health insurance management departments in assessing the develop-ment level of intelligent health insurance and the implementation of health insurance informatization.Methods Key events in intelligent health insurance were identified based on event system theory and text analysis.The evaluation index system was determined through a combination of expert interviews and Delphi expert consultations.The entro-py method was used to calculate the weights of each index,followed by the assessment of the current and ideal de-velopment levels.Results A total of 16 experts were consulted.After two rounds of Delphi expert consultation,two first-level indicators and 18 second-level indicators were finally included in the system.The current development level of intelligent health insurance in China is at the intelligent development stage(2.524 points),while the ideal de-velopment level is at the intelligent improvement stage(4.073 points).The positivity coefficient of both rounds of Del-phi expert consultation was 100%,with an authority coefficient of 0.842,and the degree of expert coordination im-proved with each round.Conclusion The constructed evaluation index system exhibits high scientificity,stability,and generalizability.It can provide an effective evaluation tool for the development of intelligent health insurance in various pooled areas.
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Objective To establish the method for simultaneous determination of six index components in the water extract of Weile Prescription;To optimize the water extraction process.Methods UPLC-MS/MS was used with Waters CORTECS C18 column(2.1 mm×100 mm,1.6 μm)as the chromatographic conditions;the mobile phase was 0.1%formic acid water-acetonitrile with gradient elution;the flow rate was 0.25 mL/min;the column temperature was 40℃;the sample volume was 2 μL.Electrospray negative ion source,positive and negative ion switching multi-reaction monitoring(MRM)mode were detected.Taking the content of six index components(gallic acid,vitexin,paeoniflorin,naringin,hesperidin and glycyrrhizic acid)and extraction rate as evaluation indexes,the weight coefficient of each index was determined by G1-entropy weight method,and the optimum parameters of extraction process were determined by orthogonal experiment design with the amount of water,extraction time and extraction times as investigation factors.Results There was a good linear relationship of the six components in the water extract of Weile Prescription in the concentration range(r>0.999),and the average recovery rate was 96.83%-102.56%,RSD<4.0%.The best technological parameters were as follows:Chinese decoction pieces were soaked in 12 times of water for 2 h,and extracted twice,each time for 1.5 h.Conclusion The UPLC-MS/MS method established in the study for simultaneous determination of six components in Weile Prescription is rapid,simple and sensitive,and the optimized extraction process is stable and feasible,which provides experimental basis for the development and research of the preparation.
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Objective To optimize the granularity and decocting process of Codonopsis Radix decoction.Methods Adding water,soaking time and decoction time were set as examine factors,and flavonoids,total polysaccharides,and extract yield were set as the indexes,AHP-entropy weight method combined with the Box-Behnken design-response surface method were used to determine the best particle size and the technological parameters of Codonopsis Radix decoction.Results The optimum size of precise Codonopsis Radix decoction was 4.00-4.75 mm(4-5 mesh);the optimum decocting process was 13 times the amount of water added;the soaking time was 15 min;the decocting time was 10 min.Conclusion The granularity of Codonopsis Radix decocting powder optimized in this study is scientific and reasonable,which is suitable for practical production.The established decocting process is convenient,reasonable and feasible,and provides a theoretical basis for the industrial production of decocting powder.
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Objective To optimize the ethanol extraction technology parameters of Jinlei Compound through orthogonal experiment combined with beetle antennae search(BAS)-back propagation(BP)neural network.Methods On the basis of the optimal extraction concentration obtained by single factor investigation,the ratio of solid to liquid,extraction time and extraction times were set as the orthogonal test factors.The entropy weight method was used to calculate the comprehensive scores of the yield of luteolin,kaempferol,swertianin and dry paste.Then,the BAS-BP neural network model was established,and the optimum extraction process was predicted by the BAS.Results BAS-BP neural network optimized Jinlei Compound alcohol extraction process was as follows:solid-liquid ratio 1:10,extraction time of 0.5 h,extraction times of 3,the comprehensive score was 96.352 6.The optimal process parameters obtained by orthogonal design were:solid-liquid ratio 1:10,extraction for 0.5 h,extraction for 3 times,the comprehensive score 90.988 0.The comprehensive score of BAS-BP neural network model was slightly better than that of orthogonal experiment,but the difference between the two was small.The optimal extraction process of Jinlei Compound was determined by comprehensive production practice as the ratio of solid to liquid 1:10,extraction for 0.5 h,extraction for 3 times.Conclusion The optimized process based on BAS-BP neural network has higher extraction efficiency and good stability,which can provide reference for subsequent development and quality control.
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Objective To investigate the reliability and feasibility of spectral entropy in evaluate the effectiveness of analgesic sedation in patients with ischemic stroke.Methods A total of 64 patients with acute ischemic stroke admitted to Hongqi Hospital Affiliated to Mudanjiang Medical University from July 2021 to November 2022 were selected as study objects,and the included patients were divided into control group and experimental group according to random number table method,with 32 cases in each group.Patients in control group adjusted analgesia and sedation regimen according to Richmond agitation-sedation scale(RASS)score and critical-care pain observation tool(CPOT)score.Patients in experimental group adjusted the analgesic and sedation regimen according to the results of spectral entropy.The vital signs,C-reactive protein(CRP),dose of sedative and analgesic drugs and incidence of adverse reactions were compared between two groups.The correlation between spectral entropy and RASS score and CPOT score was used Spearman correlation analysis.Results The spectral entropy values were positively correlated with the RASS score and CPOT score,respectively(r=0.719,0.556,P<0.001).There were no significant differences in mean arterial pressure and percutaneous arterial oxygen saturation between two groups at different time points(P>0.05).The heart rate at T3 in experimental group was significantly lower than that in control group(P<0.05).At T1,T2 and T3,CRP levels in experimental group were significantly lower than those in control group(P<0.05).The dosage of sufentanil and midazolam in experimental group were significantly lower than those in control group(P<0.05).The incidence of adverse reactions in experimental group was significantly lower than that in control group(12.50%vs.34.38%,χ2=4.267,P=0.039).Conclusion Spectral entropy can be used as an objective method to monitor the depth of analgesia and sedation in patients with ischemic stroke,and has a good correlation with RASS score and CPOT score,which can reduce the incidence of adverse reactions,effectively avoid stress reactions,and reduce the application of analgesia and sedation drugs.
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OBJECTIVE Optimizing the water extraction technology of Xiangqin jiere granules. METHODS The orthogonal test of 3 factors and 3 levels was designed， and comprehensive scoring was conducted for the above indexes by using G1-entropy weight to obtain the optimized water extraction technology of Xiangqin jiere granules with water addition ratio， extraction time and extraction times as factors， using the contents of forsythoside A， baicalin， phillyrin， oroxylin A-7-O-β-D-glycoside， wogonoside， baicalein and wogonin， and extraction rate as evaluation indexes. BP neural network modeling was used to optimize the network model and water extraction process using the results of 9 groups of orthogonal tests as test and training data， the water addition multiple， decocting time and extraction times as input nodes， and the comprehensive score as output nodes. Then the two analysis methods were compared by verification test to find the best water extraction process parameters. RESULTS The water extraction technology optimized by the orthogonal test was 8-fold water， extracting 3 times， extracting for 1 h each time. Comprehensive score was 96.84 （RSD＝0.90%）. The optimal water extraction technology obtained by BP neural network modeling included 12-fold water， extracting 4 times， extracting for 0.5 h each time. The comprehensive score was 92.72 （RSD＝0.77%）， which was slightly lower than that of the orthogonal test. CONCLUSIONS The water extraction technology of Xiangqin jiere granules is optimized successfully in the study， which includes adding 8-fold water， extracting 3 times， and extracting for 1 hour each time.
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OBJECTIVE To evaluate the comprehensive quality of Houttuynia cordata from different producing areas. METHODS Using total flavonoids， water-soluble extract， moisture， total ash and acid-insoluble ash as indicators， the entropy weight method was used to objectively weigh each indicator， and the relative correlation degree （r）i calculated by grey correlation method was used as a measure to comprehensively evaluate the quality of H. cordata. RESULTS The weights of total flavonoids， total ash， moisture， acid-insoluble ash， and water-soluble extract were 0.295 5， 0.227 3， 0.188 7， 0.145 1， and 0.143 4， respectively. The weights of total flavonoids and total ash were relatively large. The ri of 30 batches of H. cordata ranged from 0.233 2 to 0.673 9； the average ri of samples from Quanzhou County and Ziyuan County of Guangxi Zhuang Autonomous Region were the highest， which were 0.638 3 and 0.598 7， respectively， followed by samples from Lingchuan County of Guangxi Zhuang Autonomous Region （0.556 1） and Jianshui County of Yunnan Province （0.452 8）. The quality of medicinal materials produced in the above producing areas was generally good and stable. CONCLUSIONS Entropy weight method combined with the grey correlation method can be used to comprehensively evaluate the quality of H. cordata. The overall quality of H. cordata produced in Quanzhou County of Guangxi Zhuang Autonomous Region is the best.
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Dissipative structure refers to a self-organized and orderly structure that exists far from equilibrium.The human body,considered a classical example,generates negative entropy through the exchange of matter,energy,and information with the environment to counteract the increase in entropy.In this paper,we organized theories and related research on dissipative structure and entropy,discussing their significance in regulating various aspects such as the human body,cancer,aging,and more.By selecting the special population of pregnant women,focusing on the information dimension,developing the corresponding information exchange scale(Cronbach's α>0.9),and proposing the information exchange index,we preliminarily explored the influence of the dissipative structure's information dimension on pregnancy health.The results showed a negative correlation between the information exchange index and anxiety scores during pregnancy(r =-0.35,P<0.001),with an OR value of 0.26(95%CI:0.08～0.80),preliminarily confirming the feasibility of conducting empirical research based on dissipative structure theory.If further relevant empirical studies are conducted,it is expected that new disease prevention strategies will be developed and new theories and methods will be provided for the field of public health.
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Most information used to evaluate diabetic statuses is collected at a special time-point, such as taking fasting plasma glucose test and providing a limited view of individual's health and disease risk. As a new parameter for continuously evaluating personal clinical statuses, the newly developed technique "continuous glucose monitoring" (CGM) can characterize glucose dynamics. By calculating the complexity of glucose time series index (CGI) with refined composite multi-scale entropy analysis of the CGM data, the study showed for the first time that the complexity of glucose time series in subjects decreased gradually from normal glucose tolerance to impaired glucose regulation and then to type 2 diabetes (P for trend < 0.01). Furthermore, CGI was significantly associated with various parameters such as insulin sensitivity/secretion (all P < 0.01), and multiple linear stepwise regression showed that the disposition index, which reflects β-cell function after adjusting for insulin sensitivity, was the only independent factor correlated with CGI (P < 0.01). Our findings indicate that the CGI derived from the CGM data may serve as a novel marker to evaluate glucose homeostasis.
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Humans , Glucose , Blood Glucose , Insulin Resistance/physiology , Diabetes Mellitus, Type 2/diagnosis , Blood Glucose Self-Monitoring , Time Factors , InsulinABSTRACT
ObjectiveBased on the supramolecular "imprinting template" theory， the autonomous action law of the component groups of Shentong Zhuyutang in the preparation process of medicinal materials-decoction pieces-formulas was studied to clarify the quantitative transfer law of its quality attributes. MethodUltra performance liquid chromatography（UPLC） fingerprint of Shentong Zhuyutang was established with mobile phase of 0.4% phosphoric acid aqueous solution（A）-acetonitrile（B） for gradient elution（0-2.5 min， 100%A； 2.5-6 min， 100%-96%A； 6-15 min， 96%-92%A； 15-25 min， 92%-88%A； 25-35 min， 88%-75%A； 35-50 min， 75%-65%A； 50-60 min， 65%-50%A； 60-65 min， 50%-30%A； 65-70 min， 100%A） and detection wavelength of 235 nm， and the total statistical moments， information entropy and primary feeding amount of fingerprint of medicinal materials， decoction pieces and benchmark samples were calculated. Dry extract rate of the benchmark samples， the transfer rates and the addition parameters of medicinal materials-decoction pieces-formulas were calculated. ResultSimilarities of the total statistical moments of UPLC fingerprint of 15 batches of medicinal materials and decoction pieces were>0.89， the relative standard deviations（RSDs） of information entropy of UPLC fingerprint of 12 medicinal materials and decoction pieces were<10%. RSDs of total first-order moment（MCRTT） and information entropy of Shentong Zhuyutang（medicinal materials） were 5.5% and 2.3%， while the RSDs of MCRTT and information entropy of Shentong Zhuyutang（decoction pieces） were 4.8% and 2.6%， respectively. The dry extract rate of 45 batches of Shentong Zhuyutang was 17.2%-20.2%. The transfer rate of medicinal materials to decoction pieces was within the range of data fluctuation， which was 70%-130% of the average value. The overall transfer rates of medicinal materials to decoction pieces and decoction pieces to benchmark samples were 101.8% and 83.0%， respectively. ConclusionThe quality properties of Shentong Zhuyutang benchmark samples can be studied by total statistical moment analysis and primary feeding amount analysis， which can confirm the supramolecular "imprinting template" theory to a certain extent.
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OBJECTIVE To optimize the extraction process of Sarcandra glabra. METHODS The contents of rosmarinic acid and isofraxidin in S. glabra were determined by HPLC； ultrasonic time， ultrasonic temperature， solid-liquid ratio （mL/g） and methanol volume fraction were investigated by single factor test. Based on the results of single factor test， experimental scheme was designed by Box-Behnken response surface method， and the entropy weight method was used to assign the weight of each index and calculate the comprehensive score. Taking the comprehensive score as the evaluation index， the extraction process of S. glabra was optimized， and then optimized extraction process was verified. RESULTS The optimal extraction technology of S. glabra included ultrasonic time of 40 min， ultrasonic temperature of 45 ℃， liquid-solid ratio of 50∶1， methanol volume fraction of 70%. The results of 3 times of verification experiment showed that average comprehensive score was 0.988 6， and the RSD was 0.50%. The deviation between the actual value and the predicted value （0.985 1） of each comprehensive score was within ±1%. CONCLUSIONS The optimized extraction method is stable， feasible and repeatable， which can provide reference for extraction of S. glabra.
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ObjectiveTo evaluate the quality of Mori Cortex from different producing areas by the entropy weight-technique for order preference by similarity to an ideal solution（TOPSIS）， and to provide a new evaluation method for the quality control of Mori Cortex. MethodAccording to the five key indexes of color， thickness， texture， powdery and cortex remain， a subjective scoring table was designed to evaluate the appearance of Mori Cortex. High performance liquid chromatography（HPLC） was used to determine the fingerprint and the contents of multiple components（mulberroside A， chlorogenic acid， oxyresveratrol， mulberroside C， sanggenone D， sanggenone C， morusin）， and chemometrics was used to explore the differential components of Mori Cortex from different habitats. On this basis， TOPSIS was used to comprehensively evaluate the quality of Mori Cortex from different habitats， and SPSS 22.0 software was used to carry out bivariate correlation analysis between thickness and appearance color with contents of seven components of Mori Cortex. ResultThose with lighter color， thicker root bark， tougher texture， sufficient powder and less cortex remain scored higher， and the top five were all from Anhui. The established fingerprint and determination methods were stable and reliable. Partial least squares-discriminant analysis（PLS-DA） screened three components with the variable importance in the projection（VIP） value>1（mulberroside A， sanggenone D， sanggenone C）， which made an important contribution to the difference in the origin of Mori Cortex. Correlation analysis showed that there was a significantly positive correlation between mulberroside C with lightness value（L*） and total chromaticity value（E*ab） and mulberroside A with yellow-blue value（b*）（P<0.05， P<0.01）， a significantly negative correlation between sanggenone C with b* and between morusin with L*（P<0.05， P<0.01）. And there was a significantly negative correlation between mulberroside A， chlorogenic acid， and morusin with thickness（P<0.01）， a clearly negative correlation between sanggenone D with thickness（P<0.05）， a significantly positive correlation between sanggenone C with thickness（P<0.01）. TOPSIS comprehensive scores showed that the samples from Anhui had a good score and ranked high. ConclusionThere are great differences in the quality of Mori Cortex from different habitats， and those with the close habitats show similar characteristics in appearance and component content， and lighter color and less cortex were positively correlated with the quality. Among them， the quality of Mori Cortex from Anhui is relatively good.
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Objective To predict the potential suitable habitat of Haemaphysalis concinna in Heilongjiang Province under different climatic scenarios. Methods The geographic locations of ticks in Heilongjiang Province from 1980 to 2022 were captured from literature review and field ticks monitoring data from Harbin Center for Disease Control and Prevention in Heilongjiang Province, and the tick distribution sites with spatial correlations were removed using the software ArcGIS 10.2. The environment data under historical climatic scenarios from 1970 to 2000 and the climatic shared socioeconomic pathways (SSP) 126 scenario model from 2021 to 2040 and from 2041 to 2060 were downloaded from the WorldClim website, and the elevation (1 km, 2010), population (1 km grid population dataset of China, 2010) and annual vegetation index (1 km, 2010) data were downloaded from the Resource and Environmental Science and Data Center, Institute of Geographical Sciences and Natural Resources, Chinese Academy of Sciences. The contribution of environmental factors to H. concinna distribution was evaluated and environmental variables were screened using the software MaxEnt 3.4.1 and R package 4.1.0, and the areas of suitable habitats of H. concinna and changes in center of gravity were analyzed using the maximum entropy model in Heilongjiang Province under different climatic scenarios. In addition, the accuracy of the maximum entropy model for prediction of H. concinna distribution was assessed using the area under curve (AUC) of the receiver operating characteristic curve. Results A total of 79 H. concinna distribution sites and 24 environmental variables were collected, and 70 H. concinna distribution sites and 9 environmental factors that contributed to distribution of the potential suitable habitats of H. concinna in Heilongjiang Province were screened. The three most significant contributing factors included precipitation seasonality, annual precipitation, and mean temperature of the driest quarter, with cumulative contributions of 60.7%. The total area of suitable habitats of H. concinna was 29.05 × 104 km2 in Heilongjiang Province under historical climatic scenarios, with the center of gravity of suitable habitats located at (47.31° N, 129.16° E), while the total area of suitable habitats of H. concinna reduced by 0.97 × 104 km2 in Heilongjiang Province under the climatic SSP126 scenario from 2041 to 2060, with the center of gravity shifting to (47.70° N, 129.28° E). Conclusions The distribution of suitable habitats of H. concinna strongly correlates with temperature and humidity in Heilongjiang Province. The total area of potential suitable habitats of H. concinna may appear a tendency towards a decline with climatic changes in Heilongjiang Province, and high-, medium- and low-suitable habitats may shift.
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According to the theory of acupuncture-moxibustion for the treatment of spirit, starting from the relationship between eye movement and spirit, the application of electrooculogram (EOG) signal acquisition and analysis technology for the clinical treatment of spirit by acupuncture-moxibustion is discussed. Based on the nonlinear dynamic characteristics of EOG signals, it is proposed to apply the approximate entropy algorithm to extract the EOG signal characteristics in autism spectrum disorder children under different behavior states, which could realize the preliminary exploration of the correlation between EOG signals and cognitive activities. This could provide a possibility to objectively reflect the patient' s current mental state, and could be used as a potential method to grasp spirit in clinical acupuncture- moxibustion treatment. Furthermore, considering the characteristics of acupoint stimulation on the body surface, the EOG signal acquisition and analysis technology could further be combined with biofeedback technology, and a new idea for clinical acupuncture-moxibustion to treat spirit guided by biofeedback of EOG is proposed.
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Child , Humans , Moxibustion , Electrooculography , Autism Spectrum Disorder , Entropy , Acupuncture Therapy , Acupuncture PointsABSTRACT
OBJECTIVE To comprehensively evaluate the quality of Eriobotrya japonica leaves from different producing areas. METHODS The contents of alcohol-soluble extracts were determined by hot-dipping method using 30 batches of E. japonica leaves from different producing areas as samples. The contents of total flavonoids and total triterpene acids were determined by ultraviolet spectrophotometry. The contents of five kinds of triterpenic acids （euscaphic acid，crataegolic acid，corosolic acid，oleanolic acid and ursolic acid） were determined by HPLC. The quality of E. japonica leaves from different producing areas was comprehensively evaluated by using entropy weight technique for order preference by similarity to an ideal solution （TOPSIS）. The bivariate correlation analysis of E. japonica leaves was conducted by SPSS 22.0 software in terms of weight， comprehensive evaluation value， the content of alcohol-soluble extract， the contents of total flavonoids， total triterpene acids and five triterpenic acids. RESULTS The contents of alcohol-soluble extract in 30 batches of E. japonica leaves were （24.56±0.08）%-（34.85±0.13）%； the contents of total flavonoids were （4.69±0.11）-（14.23±0.27） mg/g； the contents of total triterpene acid were （27.58±0.59）- （63.95±1.27） mg/g； the contents of euscaphic acid， crataegolic acid， corosolic acid， oleanolic acid and ursolic acid were （0.728± 0.011）-（6.064±0.063）， （0.526±0.013）-（3.245±0.022）， （1.222±0.025）-（8.807±0.094）， （0.856±0.021）-（2.931±0.075）， （4.704±0.087）-（11.806±0.283） mg/g， respectively. The analysis result of entropy weight TOPSIS method showed that the top three samples with comprehensive evaluation values （No.Kjcx-5） were S14 （Huotian Town， Yunxiao County， Zhangzhou，Fujian）， S19 （Qinnan District， Qinzhou， Guangxi） and S29 （Guoyang County， Bozhou， Anhui）. Comprehensive evaluation 0596-2559522。E-mail：jxrcwxp@163.com of E. japonica leaves was positively correlated with the contents of five kinds of triterpenic acids， such as euscaphic acid， crataegolic acid， corosolic acid， oleanolic acid and ursolic acid （P＜0.01）. The weight of E. japonica leaves was positively correlated with the comprehensive evaluation value （P＜0.01）. CONCLUSIONS The qualities of E. japonica leaves from different producing areas are very different. Among them， the qualities of E. japonica leaves from Huotian Town， Yunxiao County， Zhangzhou of Fujian， Qinzhou Qinnan District of Guangxi， and Bozhou Guoyang County of Anhui are relatively better. The weight of E. japonica leaves is positively correlated with their quality.
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Objective To optimize the extraction process of Puji disinfection oral liquid.Methods Based on Box-Behnken design,the extraction process of volatile oil was optimized with the extraction rate of volatile oil as index.Based on Box-Behnken design combined with G1-entropy weight method,the extraction rate and dry extract rate of(R,S)-epigoitrin,hesperidin,baicalin,berberine hydrochloride and arctiin were used as indices to optimize the water extraction process.Results The optimum extraction conditions of volatile oil from Puji disinfection oral liquid were as follows:adding 10 times of water,soaking time of 1.5 h and extraction time of 5 h.The optimal water extraction process was as follows:10 times of water,1.8 h of extraction time and 2 times of extraction.Under the optimal extraction conditions,there was no significant difference among the three batches of verification tests.Conclusion The optimized extraction process is stable and feasible,which can provide the basis for the subsequent experimental study and industrial production of Puji disinfection oral liquid.
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OBJECTIVE To optimize the molding process of Shuangye pipa granules based on the concept of quality by design （QbD） and analyze its physical fingerprint. METHODS The dry extract of Shuangye pipa granules was used as the main drug. The retention rate of total flavonoid， moisture absorption rate， dissolution rate， angle of repose and molding rate of the granules were selected as evaluation indexes. The single-factor test combined with the entropy weight method and Box-Behnken response surface design was used to optimize the molding process， and validation test was conducted. The physical fingerprints of 10 batches of Shuangye pipa granules prepared by the optimal process were comprehensively analyzed by eight secondary physical indexes （relative homogeneity， moisture， moisture absorption rate， Hausner ratio， angle of repose， bulk density， tap density and porosity）. RESULTS The optimal molding process of Shuangye pipa granules was as follows： soluble starch-maltodextrin-mannitol was 1∶1∶1 （m/m/m）， 95% ethanol was as wetting agent and the amount of it was 37%， the drug-assisted ratio was 1∶0.8 （m/m）， the drying temperature was 59 ℃， drying time was 28 min. The results of 3 validation tests showed that the average comprehensive score was 0.879 6， the RSD of which with prediction value （0.881 9 score） was 1.97%. The similarity between the physical fingerprints of 10 batches of Shuangye pipa granules and the control physical fingerprint was higher than 0.99. CONCLUSIONS The optimized molding process of Shuangye pipa granules is stable and feasible， and the physical property of Shuangye pipa granules is stable and controllable.