Optimization of extraction technology of Guizhi shaoyao zhimu decoction / 中国药房

OBJECTIVE To optimize the e xtraction technology of Guizhi shaoyao zhimu decoction （GSZD）. METHODS The contents of 9 components in GSZD were determined by HPLC ，such as ephedrine hydrochloride ，pseudoephedrine hydrochloride ， mangiferin，paeoniflorin，liquiritin，5-O-methylvisammioside，glycyrrhizic acid ，cinnamic acid ，6-gingerol. On the basis of single factor experiment ，taking material-liquid ratio ，extraction times and extraction time as inspection factors ，taking the contents of above 9 components and the yield of dry extract as evaluation indicators ，the analytic hierarchy process and entropy weight method were used to determine the composite weight of each index and calculate the comprehensive score ；the extraction technology parameters of GSZD were optimized by Box-Behnken response surface method ，and the validation tests were conducted. RESULTS The composite weight of the contents of ephedrine hydrochloride ，pseudoephedrine hydrochloride ，mangiferin，paeoniflorin， glycyrrhizin，5-O-methylvisa- midol ，glycyrrhizinate，cinnamic acid ，6-gingerol and the yield of dry extract were respectively 0.12，0.10，0.05，0.12，0.14，0.06，0.13，0.15，0.10，0.03. The optimal extraction technology of GSZD is that the ratio of material to liquid is 1 ∶ 14（g/mL），extraction is 2 times，and the extraction time is 3.0 h；average comprehensive score of the 3 verification tests was 95.879，and RSD was 0.50％（n＝3），the deviation from the predicted comprehensive score （94.328）was 1.64％. CONCLUSIONS In this study ，the optimal extraction technology of GSZD is determined.

Optimization of stir-frying with saltwater technology of Citrus reticulate by entropy weight method combined with central composite design-response surface method / 中国药房

O BJECTIVE To optimize stir-frying with saltwater technology of Citrus reticulata . METHODS Taking the contents of limonin ，nomilin and obacunone ，color difference value and free radical scavenging rate of 1，1-diphenyl-2-trinitrophenyl hydrazine （DPPH） as the indexes ，the entropy weight method was used for comprehensive evaluation. The stir-frying with saltwater technology of C. reticulata was optimized by central composite design-response surface method by using water-salt ratio ，stewing time，frying temperature and frying time as factors. RESULTS The optimal stir-frying with saltwater technology of C. reticulata included water-salt ratio of 8 ∶ 1（mL/g），stewing time of 22 min，frying time of 9 min and frying temperature of 158 ℃. After three times of validation tests ，the average comprehensive score of the optimized technology was 92.35（RSD＝2.19％），and its relative error with the predicted value （93.25）was 1.10％. CONCLUSIONS The optimal stir-frying with saltwater technology is stable and feasible.

Study on resource carrying capacity of pharmaceutical industry in various regions of China based on entropy weight TOPSIS method / 中国药房

OBJECTIVE To provide reference for improving resource carrying capacity of pharmaceutical industry and guaranteeing the healthy and sustainable development of pharmaceutical industry of China. METHODS The evaluation system of resource carrying capacity was constructed ，including 4 primary indicators and 17 secondary indicators. The data of above indicators were selected from 31 provinces（autonomous regions and municipalities ）（hereinafter referred to as provinces ）of China during 2013-2020. The index weight and regional relevance were calculated by entropy weight technique for order preference by similarity to ideal solution（TOPSIS）method. RESULTS & CONCLUSIONS The weights of 4 primary indicators were 0.182 0 （industrial scale ），0.349 5（industrial innovation resources ），0.211 5（economic resources ）and 0.257 1（industrial development foundation）. It indicated that industrial innovation resources were the main factor affecting the resource carrying capacity of pharmaceutical industry ，followed by industrial development foundation and economic resources ，and the impact of industrial scale was the least. From 2013 to 2016 and from 2018 to 2020，the average closeness of the pharmaceutical industry in China ’s provinces were 0.259 6，0.267 1，0.253 6，0.249 9，0.250 5，0.248 5 and 0.252 0，respectively. It indicated that the resource carrying capacity of China ’s pharmaceutical industry showed a stable development trend ，but the overall development was in low level. The top 5 regions in terms of closeness of carrying capacity were Jiangsu ，Guangdong，Shandong，Zhejiang and Beijing ；the regions in the bottom 5 were Gansu ，Hainan，Qinghai，Tibet and Ningxia. Overall ，the resource carrying capacity of China ’s pharmaceutical industry showed a gradual decreasing trend from the eastern coastal area to the western inland area. For the provinces with the highest resource carrying capacity of pharmaceutical industry ，further development can be carried out on the basis of maintaining the original carrying capacity ；for the provinces with the middle resource carrying cap acity of p harmaceutical industry ，enhancing the development potential and improving the industrialfoundation are the main methods to improve the resource carrying capacity of pharmaceutical industry ；for the provinces wangjl@126.com with low resource carrying capacity of pharmaceutical industry ， it can be considered to start from their own unique advantages ， make full use of characteri stic industrial resources ，form a characteristic industrial foundation ，actively promote interregional cooperation ，implement regional cluster development and improve the resource carrying capacity of pharmaceutical industry.

Systematic evaluation of scientific research output for disciplines of "Double First-Class" universities:an empirical case of the discipline of pharmacology and toxicology / 中国药科大学学报

@#To promote the construction of first-class disciplines of "Double First-Class" universities in China, the construction of a comprehensive evaluation system was explored, so as to provide suggestions for the development of these disciplines.Essential Science Indicators (ESI), InCites and Derwent Innovation Index databases, together with range transformation method and entropy weight method, were employed to analyze the data in the field of pharmacology and toxicology from some universities; the construction approaches and index performance of the system were studied. The score performances of the sample universities in the index system are different from their ESI rankings, suggesting that the system has certain practical value.ESI rankings cannot fully reflect the development levels of disciplines, while the multi-dimensional index evaluation system can overcome this shortcoming to a certain extent.This paper establishes an evaluation system with published papers and granted patents as the main evaluation objects, covering as many multi-angle indicators of scientific research output as possible, and trying to overcome the disadvantages due to lack of information in a single or few index systems.It is suggested that universities should formulate their discipline development plans from the perspectives of publishing high-quality original research results, leading or widely participating in scientific research cooperation, strengthening university-enterprise cooperation, promoting the application of research results, promoting open science and encouraging open access.

Process risk assessment of vaccine supply chain based on combination weighting method / 中国药房

OBJECTIVE To identify and evaluate the risk factors in the operation process of the vaccine supply chain ，clarify the importance of each process risk in the overall risk of the vaccine supply chain ，and provide reference for stakeholders in the vaccine supply chain to formulate risk management and control strategies. METHODS In the supply chain operation reference model，the risk factors existing in the operation of vaccine supply chain were identified ，and the vaccine supply chain risk evaluation index system was constructed. The best-worst method and entropy weight method were used to determine the subjective and objective weight of the index ，and the Lagrange multiplier method was used to solve the optimal combination weight value of the index. RESULTS & CONCLUSIONS A vaccine supply chain risk evaluation index system with 18 indexes was established. Only 67％ of the indexes reflected 85％ of the vaccine supply chain risk information. The construction of the system was reasonable. The results showed that the risk weight of production process was 0.607，which accounts for the highest weight in the overall risk of vaccine supply chain ，followed by procurement （0.234），distribution（0.102），planning（0.053）and return （0.004） process risk . When managing and controlling risks ，enterprises should attach great importance to the risk factors in vaccine production；at the same time ，enterprises should also focus on other risks such as unqualified materials for products ，mixed use of materials and so on.

Research on Q-markers of Polygoni Perfoliati Herba based on analytic hierarchy process-entropy weight method and fingerprints / 中国中药杂志

The potential quality markers(Q-markers) of Polygoni Perfoliati Herba were studied based on analytic hierarchy process(AHP)-entropy weight method(EWM), network pharmacology, and spectrum-effect relationship analysis. The AHP-EWM was used for quantitative identification of the Q-markers. To be specific, AHP was applied for the weight analysis of the validity, testability, and specificity of the first-level indexes, and EWM for the analysis of the second-level indexes supported by literature and experimental data. Based on literature and network pharmacology, the validity analysis was to study the component-target-disease-efficacy network, and select the components with the strongest correlation with the efficacy of clearing heat and removing toxin, diuresis and alleviating edema, and relieving cough. For the testability analysis, the high performance liquid chromatography(HPLC) and literature research were used to determine the 10 components in Polygoni Perfoliati Herba, and the fingerprints of Polygoni Perfoliati Herba were established at the same time. The specificity analysis was based on the statistics of the number of plants in which the components existed. Thereby, the 11 compounds: quercetin, oleanolic acid, ellagic acid, gallic acid, kaempferol, rutin, esculetin, quercetin-3-O-glucuronide, ursolic acid, protocatechuic acid, and ferulic acid, were identified as potential Q-markers. The 11 compounds were identified to have high anti-inflammatory activity, indicating that the 11 Q-markers may be the functional material basis. The result in this study is expected to serve as a reference for the quality control of Polygoni Perfoliati Herba.

Research on Q-markers of Eupatorium lindleyanum based on analytic hierarchy process-entropy weight method and network pharmacology / 中国中药杂志

The potential quality markers( Q-markers) of Eupatorium lindleyanum were studied with analytic hierarchy process(AHP)-entropy weight method(EWM) and network pharmacological method. Based on the concept of Q-markers of traditional Chinese medicine, AHP-EWM was employed to quantitatively identify the Q-markers of E. lindleyanum. AHP method was applied to the weight analysis of the validity, testability, and specificity of the first-level indexes, and EWM method was used to analyze the secondlevel indexes supported by literature and experimental data. At the same time, based on the theory and method of network pharmacology, the component-target-disease-efficacy network of E. lindleyanum was built, and the components most closely related to the efficacy of resolving phlegm and relieving cough and asthma were screened out. Through the integrated analysis of the results obtained with AHP-EWM and network pharmacological method, 13 compounds including rutin, quercetin, nepetin, cirsiliol, luteolin, hyperoside,isoquercitrin, kaempferol, caffeic acid, eupalinolide K, eupalinolide A, eupalinolide B, and eupalinolide C were comprehensively identified as the potential Q-markers of E. lindleyanum. The results provide a basis for the quality control of E. lindleyanum.

Quantitative identification of TCM Q-markers based on analytical hierarchy and the entropy weight comprehensive method by taking Shaoyao Gancao decoction as an example / 药学学报

The quality markers (Q-markers) of traditional Chinese medicine (TCM) have become a topic of interest in TCM research in recent years. Nonetheless, there is still no consensus on how to scientifically characterize TCM Q-markers. Our study establishes an identification method for TCM Q-markers based on the analytical hierarchy process (AHP) and the entropy weight comprehensive method. By constructing an evaluation system encompassing the target layer, the factor layer and the control layer, AHP can be used to analyze the weight of three core TCM quality attributes, including effectiveness, testability and specificity. Following that, the entropy weight method is employed to analyze the specific indicators for each attribute based on the literature and experimental data. Finally, the comprehensive weight of each index is obtained by combining the two weights, and the comprehensive weight and the specific value of each component is multiplied and summed to obtain the integrated score ranking, and thereby identify the TCM Q-markers. Taking Shaoyao Gancao decoction as an example, the analysis revealed that the top 8 components are as follows: paeoniflorin > quercetin > albiflorin > glycyrrhizic acid > naringenin > liquiritin > oxypaeoniflorin > benzoylpaeoniflorin, and can be identified as Q-markers of Shaoyao Gancao decoction. This study not only provides support for the establishment of quality standards and process quality control of TCM formulae, but also provides innovative ideas and methods for quantitative evaluation and accurate identification of TCM Q-markers.

Optimization of extraction process of Compound Guizhi Shaoyao Zhimu Granules by combination of response surface methodology with entropy weight method / 中草药

Objective: To optimize the extraction process parameters of Guizhi Shaoyao Zhimu Granules (GSZG). Methods: Using high performance liquid chromatography and Elisa, the extraction rate of trans-cinnamaldehyde, paeoniflorin, mangiferin, glycyrrhizic acid, the dry extract yield of extracted herbs and inflammatory factor IL-6 were comprehensively evaluated. The information entropy weighting method was used to determine the objective weight of each index, and response surface methodology was adopted to optimize the extraction process parameters of GSZG. Results: The method had good linear relationship within the range of 3.27-104.64 μg/mL for trans-cinnamaldehyde (r = 0.999 9), 8.16-261.03 μg/mL for paeoniflorin (r = 1.000 0), 1.39-89.27 μg/mL for mangiferin (r = 0.999 9), and 1.00-33.00 μg/mL for glycyrrhizic acid ammonium salt (r = 0.999 9). Guizhi-Shaoyao-Zhimu extraction had the effect of inhibiting the proliferation of MH7A cells (molded by TNF-α) with IC50 of 1.02 mg/mL, and had anti-inflammatory activity. Entropy method was more scientific, reasonable and stable. According to the comprehensive scoring results and practical situation, it was determined that the best extraction process of the preparation was to add 16 times the amount of water, and decocted three times for 1 h each time. The RSD of the predicted value was less than 3% compared with the measured value. Conclusion: The preferred process has high extraction rate, with good stability and repeatability, which is suitable for the mass production of GSZG.

Optimization of inclusion process of Huaweishu Granules volatile oil based on the multi-index comprehensive scoring method / 中草药

Objective: To optimize the inclusion process for the volatile oil in Huaweishu Granules. Methods: Taking the ratio of volatile oil to β-cyclodextrin, inclusion temperature, stirring speed and stirring time as the factors, the inclusion process conditions were optimized by orthogonal test, the weight coefficients of each index were determined by entropy weight method, and the inclusion complex was verified by thin layer chromatography. Results: The inclusion rate of volatile oil obtained by stirring method was the highest, with the ratio of β-cyclodextrin to volatile oil of 10:1, the inclusion temperature was 40 ℃, the stirring time was 1 h, and the stirring rate was 400 r/min. Conclusion: The optimized volatile oil inclusion process is stable and feasible, with high inclusion rate of volatile oil and yield of inclusion compound.

Multi-index optimization of extraction process of Fengyin Decoction based on BAS-GA-BP neural network combined with entropy weight method / 中国中药杂志

To optimize the ethanol extraction technology parameters of Fengyin Decoction by orthogonal experiment combined with beetle antennae search(BAS)-genetic algorithm(GA)-back propagation neural network(BPNN). Based on single factor investigation, the extraction temperature, ethanol volume, extraction time, and ethanol concentration were used as orthogonal experiment factors, and entropy weight method was used to calculate the comprehensive scores of aloe-emodin, glycyrrhizic acid ammonium salt, rhein, emodin, chrysophanol, physcion, cinnamaldehyde, 6-gingerol, extraction ratio and fingerprint similarity. BAS-BPNN model was established, and then, GA was used to predict the optimal extraction process. The results showed that BAS-BPNN was optimized to obtain the optimal ethanol extraction process of Fengyin Decoction as follows: extraction temperature of 87 ℃, adding 9 times of 75 % ethanol, and extracting for 47 minutes, with a comprehensive score of 1.052 9. Meanwhile, the optimal process parameters obtained by orthogonal design were as follows: the extraction temperature of 80 ℃, adding 10 times of 75% ethanol, extracting for 30 minutes, with a comprehensive score of 1.003 7. The comprehensive score of the process obtained from the BAS-BPNN model was slightly better than that from the orthogonal test, indicating that the optimized process from BAS-BPNN model was more ideal, so it was finally determined as the best extraction process for Fengyin Decoction. The process of Fengyin Decoction obtained from BAS-GA-BPNN has high extraction efficiency and good stability, which provides reference for the subsequent development and quality control.

Application research of entropy weight-based grey systematic theory in quality evaluation of Angelicae Sinensis Radix slices / 中国中药杂志

In order to discuss the "entropy weight method" for weighting various indicators in the comprehensive evaluation of Angelicae Sinensis Radix slices(ASR), the quality of ASR was comprehensively evaluated by entropy weight-based gray systematic theory and cluster analysis. In this study, the contents of ferulic acid, volatile oil, polysaccharide, alcohol extract, water extract, moisture, total ash and acid-insoluble ash in 44 batches of ASR from different sources were determined. The entropy weight method was used for objective weighting. With relative correlation(r_i) as a measure, a multi-index comprehensive evaluation model was constructed for the quality of ASR. The results showed that the relative correlation value of 44 batches of ASR ranged from 0.301 9 to 0.662 9. There were certain differences in the quality of ASR from different sources. The ASR S1-S8, traceable and standardized in processing techno-logy, showed a high relative correlation degree and high quality ranking, indicating that the implementation of systemic management of the production chain of Chinese herbal pieces was beneficial to the quality control of ASR. The quality evaluation results of 44 batches of ASR were consistent with those of traditional geo-authentic habitats for ASR and the mainstream varieties of ASR on market, and basically consistent with the results of cluster analysis. This study suggests that the gray systematic theory based on the entropy weighting method can be used for the quality evaluation of ASR. The objective weighting of the entropy weight method improves the reliability of the gray correlation method and the scientificity of ASR quality evaluation.

Optimization of spray drying technology of Liqi Huoxue Compound extract by Box-Behnken response surface method combined with G1-entropy weight method / 中草药

Objective: To optimize the spray drying process of Liqi Huoxue Compound (LHC) extract and evaluate the quality of extract powder. Methods: The drug concentration, inlet air temperature and air flow were used as independent variables, and the comprehensive scores of ferulic acid, tanshinone IIA, salvianolic acid B, puerarin content and flour extraction rate were used as the response values, and the test data were binomial fitting. The mathematical relationship between the comprehensive scoring index and their respective variables was established, and Box-Behnken design-response surface method combined with G1-entropy weight method was used to optimize the spray drying process of LHC extract. Results: The optimal spray drying process was a specific solution gravity of 1.08, inlet air temperature of 140 ℃, and an air flow of 40 m3/h. Under such conditions, the average content of ferulic acid, tanshinone IIA, salvianolic acid B and puerarin by the spray drying was 0.300 4 mg/g, 0.338 0 mg/g, 18.526 0 mg/g and 7.508 8 mg/g, respectively. The flour yield was 81.49%, the overall score was 94.69, and the RSD value was 0.99%. Conclusion: The preferred spray drying process of LHC extract is stable and feasible.

Multi-index optimization of water extraction process of Siwu Decoction by BP neural network combined with entropy weight method / 中草药

Objective: To optimize the water extraction process of Siwu Decoction by BP neural network combined with orthogonal experiment. Methods: The water amount, the extraction time, and the extraction times were taken as factors. Entropy weight method was used to calculate the comprehensive scores of the multi-indicators of eight active components of 5-hydroxymethylfurfural, chlorogenic acid, caffeic acid, paeoniflorin, ferulic acid, verbascoside, senkyunolide A, and ligustilide in R language environment. Using comprehensive score as an evaluation indicator, the BP neural network model was established by orthogonal experiment design, and the optimal water extraction process of Siwu Decoction was predicted through network training. Results: The optimized extraction process of Siwu Decoction was carried out by adding 8 times of water and extracting 3 times for 1 h. The relative error between the network predicted value and the actual measured value of the test sample was less than 1%. Conclusion: The established mathematical model can analyze and predict the water extraction process of Siwu Decoction. The obtained process is stable and feasible, and can effectively extract the active ingredients in Siwu Decoction.

Optimization of water extraction technology of Yiqi Huoxue Prescription based on orthogonal test design and BP neural network / 中草药

Objective: To optimize the water extraction technology parameters of Yiqi Huoxue Prescription (YHP). Methods: On the basis of single factor experiment, orthogonal experiment design was used to evaluate the transfer rate and extraction yield of salvianolic acid B and hydroxysafflower yellow A by using adding water, extraction time and soaking time as factors. The comprehensive score was obtained by G1-entropy weight method. The optimal water extraction technology was obtained by orthogonal test design, and another method-BP neural network modeling was used to optimize the network model and target optimization. The two analytical methods were compared in the verification experiment to find the optimal water extraction technology parameters of YHP. Results: Based on the comparison of the two analytical methods, it was found that the comprehensive score of the optimal water extraction technology obtained by orthogonal test analysis was slightly higher than that obtained by BP neural network modeling. Therefore, it was finally determined that the optimal water extraction technology parameters of YHP were as follow: water extraction for three times, soaking for 0.5 h, adding water of 20 times, and extracting time for 3.5 h. Conclusion: The optimal water extraction technology of YHP is stable and feasible, which provides new ideas and references for the development and modernization of new drugs of compound Chinese medicine.

Quality evaluation of Notopterygii Rhizoma et Radix slices by entropy weight and gray relative analysis method / 中草药

Objective: The entropy weight method and grey relative analysis (GRA) method were used to evaluate the quality of prepared Notopterygii Rhizoma et Radix (NRR) slices. Methods: The content of extracts (water and ethanol), volatile oil, notopterol and isoimperatorin in 42 batches of NRR slices from different areas was determined. Using GRA, the weight of the entropy weight method was used as the resolution coefficient ρ to construct the quality research model of the slices. Results: The relative correlation degree of each evaluation unit sequence was 0.241 1-0.679 5, which indicated that the quality of NRR slices from different producing areas and manufacturers were different. The implementation of standardized management of NRR traceable slices had a relatively high degree of correlation, and the quality ranking was in the front, which indicated that the implementation of decoction slices standardized management was beneficial to the quality control of NRR slices. The top five samples were S16, S18, S17, S34, and S33 based on these two methods. Conclusion: The comprehensive quality evaluation of NRR slices can be effectively evaluated by GRA and entropy weight method. Entropy weight method improves the reliability of GRA method and the scientificity of quality evaluation of NRR slices.

Application of infectious disease index to prediction of infectious diseases / 预防医学

Objective@#To establish a prediction model for infectious disease index（IDI）by autoregressive integrated moving average（ARIMA）,and to provide forcast of infectious diseases to the public. @*Methods@#The data of the percentage of influenza-like illness（ILI）,the incidence rates of hand-foot-mouth disease（HFMD）and other infectious diarrhea（OID）from the 1st week of 2014 to the 14th week of 2018,and Breteau index（BI）from the 1st week of 2016 to the 14th week of 2018 were collected. ARIMA models were built to predict the risk indicators of ILI,HFMD,OID and BI. The weights of the four indicators were evaluated seasonally by the entropy weight method. Then the IDI was calculated and the data of ILI,HFMD, OID and BI from 15th to 19th week in 2018 was used for verification. @*Results@#The forecast was in summer,so IDI=ROUND（0.33×risk index of ILI percentage +0.47×risk index of HFMD incidence +0.10×risk index of OID incidence+0.10×risk index of BI）. The predicted IDI would be 2（less safe）in the whole city and Xiangzhou District,and 1（safe）in Doumen District and Jinwan District. The consistency rates of IDI prediction was 97.50%,95.00%,97.50%,85.00% and 77.50% from 15th to 19th week in 2018,respectively.@*Conclusion@#It was feasible to use IDI for short-term risk prediction of infectious diseases.

Based on the entropy weight method of Urumqi municipal CDC in 2008-2017 comprehensive evaluation on the scientific research capability / 中华医学科研管理杂志

Objective Through the analysis of the data such as the publication of the paper and the scientific research project of urumqi disease prevention and control center from 2008 to 2017,the research ability level of the center is comprehensively evaluated.Methods In this paper,the entropy weight method is used to process and analyze the data.According to the results of information entropy and weight,the comprehensive scores of each index project are obtained and sorted.Results The information entropy of the paper is the smallest,the weight is the largest,the information entropy of the scientific progress award and the result identification is the largest,and the weight is the smallest.The top four years in the comprehensive score are:2016,2017,2014 and 2015;The ranking year is 2012,2010,2013 and 2011 respectively.The last two years are 2008 and 2009.Conclusions Urumqi center for disease control and prevention,2008-2017,scientific research and comprehensive ability level,although each year a little ups and downs,but overall present a curve upward trend,have a qualitative leap in the area of scientific research,achieved the zero breakthrough,and formed a "scientific promoting business,business support scientific research "as the new situation.

Fuzzy Comprehensive Evaluation of Extremity Muscle Strength in Elderly Based on Entropy Weight Method / 中国康复理论与实践

Objective To explore an objective evaluation model for the elderly extremity muscle strength. Methods Evaluation index system of extremity muscle strength was established by analyzing the structure and movement mechanism of the limbs of the elderly,and an evaluation model of extremity muscle strength of the elderly based on entropy weight-fuzzy comprehensive evaluation was proposed.More-over,the muscle strength data of the elderly are collected by the hand-held dynamometry MicroFet3.Results The entropy weight method was used to obtain the objective weight of each index,and the disadvantages of the given weight by the expert in the fuzzy comprehensive evaluation method were eliminated, which could effectively assist the doctor to give the correct evaluation. Conclusion Actual examples showed that the proposed evaluation model is effective and objective,which helps to overcome the subjectivity of manual muscle testing to achieve the rehabilitation treatment and classification management of the elderly.A new idea is put forward to evaluate the strength of the ex-tremity in the elderly.

Multi-objective optimization of purification technology for licorice flavonoids based on entropy-weight method / 中草药

Objective: To multi-objectively optimize the purification process parameters of licorice flavonoids using entropy-weight method, Plackett-Burman design (PBD), and Box-Behnken design (BBD). Methods: On the basis of HPLC fingerprints of licorice, the macroporous resin type was chosen using the recovery rates of six components (liquiritin apioside, liquiritigenin, isoliquiritin apioside, licuraside, isoliquiritin, and neoisoiiquiritin) as detection indexes. Weights of the recovery rates of six components were determined by entropy-weight method, in order to obtain the comprehensive index. The significantly influencing factors were firstly evaluated by PBD, then purification conditions were optimized by BBD. Results: ADS-7 type resin showed a high selectivity for six components. The optimized purification technology was as follows: pH value was 4.5, sample concentration was 0.20 g/mL, ratio of sample to resin was 1.0 g/g, flow rate was 0.6 mL/min, elution dosage was 6.7 BV, ethanol concentration was 83% of eluting agent, and elution rate was 1.0 mL/min. Under the conditions, the recovery rates of six components were 86%-97%, the theoretical and actual comprehensive indexes were 93.32% and 93.05%, respectively, with a relative error of 1.17%. Conclusion: Entropy-weight method combined with PBD and BBD-RSM used to optimize the purification process for the licorice flavonoids in this study is scientific and feasible, providing a new reference to realize the multi-objective optimization of the purification technology for active constituents in Chinese materia medica.