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    20 August 2024 Volume 37 Issue 4
      
    Traditional Chinese Medicine and Natural Active Products
    Optimization of activated charcoal impurity removal process for Xiaojianzhong mixture and its impacton the stability of the mixture’s preparations
    ZHANG Wei, LIU Zhenyuan, DU Haochen, GUO Tiantian, YANG Mei, WANG Shandong, HAN Pei, SONG Xiangyun, ZHANG Guimin
    Shandong Science. 2024, 37(4):  1-8.  doi:10.3976/j.issn.1002-4026.20230126
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    To improve the clarity and stability of Xiaojianzhong mixture, the activated charcoal impurity removal process was selected to purify Xiaojianzhong mixture. The orthogonal test evaluation method was used; the evaluation factors were the amount of activated charcoal, boiling time, and the temperature of the solution during charcoal removal. Furthermore, the transfer rates of paeoniflorin and dry matter were used as evaluation indicators. Variance and visual analyses as well as accelerated stability tests were conducted to optimize the activated charcoal purification process for Xiaojianzhong mixture.In order to carry out these above experiments, three batches of Xiaojianzhong mixture preparations were produced for long-term stability testing. Results showed that the optimal parameters for the activated charcoal boiling purification process of Xiaojianzhong mixture preparations were 0.4% activated charcoal usage, 30 min of activated charcoal boiling time, and a liquid temperature of 100 ℃ during filtration. The average transfer rates of paeoniflorin and dry matter in expanded production under these process conditions were 75.24% and 89.08%, respectively. The optimal activated charcoal boiling purification process obtained from this test can ensure the clarity and stability of Xiaojianzhong mixture preparations while maximizing the retention of paeoniflorin and dry matter, thereby ensuring stable and uniform drug efficacy. This study provides a scientific and reasonable basis forclarifying and optimizing the parameters of the activated charcoal boiling purification process for Xiaojianzhong mixture.

    Investigation of common diseases and pesticide use in Salvia miltiorrhiza
    ZHOU Bingqian, LU Heng, YANG Guohong, WANG Xiao, GUO Lanping, LIU Wei
    Shandong Science. 2024, 37(4):  9-16.  doi:10.3976/j.issn.1002-4026.20230154
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    There is currently an unmet need to improve disease prevention and control in Salvia miltiorrhiza. Here, we reviewed the literature as well as visited and surveyed multiple planting sitesand agricultural management units in Shandong’s main production areas, such as Jinan and Linyi,to investigate and summarize the common diseases, incidence patterns, medication types, and pesticide residue status of S.miltiorrhiza, which may also provide foundational data to aid in S. miltiorrhiza production.The findings showed 10 common diseases in S.miltiorrhiza, and a total of 20 categories and 43 types of pesticides, including biopesticides and compound formulations, were used in its management. The varieties of pesticides used were all in compliance with drug use regulations, but issues, such as the lack of pesticide registration,lack of guidance on prevention and control technology, and insufficient promotion of biological control, were found. This article aims to provide a basis for the scientific prevention and control of S. miltiorrhiza diseases, and to promote the green and sustainable development of the S. miltiorrhiza industry.

    A study on the quality standards of Huanglian Hupo Qingxin pills
    ZHANG Xiaodan, HE Xiaodong, GAO Yan, YANG Longfei, ZHANG Guanqun, YU Zixiang, LIU Mingjun, WANG Yafei, GENG Zangjia, ZHAO Bonian
    Shandong Science. 2024, 37(4):  17-25.  doi:10.3976/j.issn.1002-4026.20230165
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    To establish a method for the qualitative and quantitative assay of Huanglian Hupo Qingxin pills and provide abasis for the subsequent establishment of quality standards, the six ingredients in the formula (Aquilariae Lignum Resinatum, Fructus Choerospondiatis, Terminalia Chebula, CoptidisRhizoma, Flos Gossampini, and Semen Myristicae)were identified through microscopical observation. Thin-layer chromatography was used to identify Terminalia Chebula. Berberine hydrochloride concentration was assessed using high-performance liquid chromatography.Microscopical and thin-layer identifications of Huanglian Hupo Qingxin pills were conducted,which revealed a berberine hydrochloride concentration of 0.018 0~0.902 0 mg/mL,exhibiting a good linear relationship. The assay method was found to bescientific, sensitive, and reproducible, with relative standard deviations(RSDs)for precision, stability, and reproducibility tests all below 3.0%. The average recovery rate from spike-and-recovery testing was 101.29%, with an RSD of 2.30%.The established quality standardis simple and reproducible and can be used for studying the quality standards of Huanglian Hupo Qingxin pills.

    Pharmacology and Toxicology
    Study of the active components and mechanism of action of antithrombotic Xuefuzhuyu oral liquid based on network pharmacology and molecular docking technology
    LIN Shenghua, XUE Chang, MA honglin, FAN Wei, SHEN Chuanlin, CHEN Jiayu, SUN Botong, DU Xingshuo, ZHAN Wen, LI Xiaobin, ZHANG Shanshan, JIN Meng, HE Qiuxia
    Shandong Science. 2024, 37(4):  26-33.  doi:10.3976/j.issn.1002-4026.20230130
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    The aim of this study is to reveal the mechanism of Xuefuzhuyu oral liquid in treating thrombotic diseases and to explore its effective antithrombotic active ingredients. The Traditional Chinese Medicine Systems Pharmacology database was used to search for the active ingredients or related components of Xuefuzhuyu oral liquid. A protein-protein interaction network was constructed using the STRING database to obtain the core targets. A “component-target”network diagram was constructured using Cytoscape, which was used to perform topological,GO and KEGG enrichment analyses on core components to predict the antithrombotic mechanism action. Molecular docking was conducted on the key components and action targets according to the degree ranking. 81 core components, such as tumor necrosis factor (TNF), ALB, and AKT1 were obtained via network topology analysis screening.A total of 304 biological processes (BPs), 72 molecular functions, and 41 cell components were analyzed using GO enrichment analysis, and pathway enrichment yielded 80 signaling pathways, such as the coagulation cascade responseand TNF pathway.Molecular docking results showed that Sainfuran, Xambioona, and 7-methoxy-2-methyl isoflavone have good affinity with target proteins ESR1, F2, IL-2, KDR, MET, and MMP3. This study provides a reference for the application of Xuefuzhuyu oral liquid in antithrombotic therapies.

    The mechanism by which Gandouling tablets improve ferroptosis in hepatolenticular degeneration through PKCβⅡ/ACSL4/ALOX5 signaling pathway regulation
    WU Bojin, DONG Ting, WEN Yuya, TIAN Liwei, ZHAO Chenling
    Shandong Science. 2024, 37(4):  34-44.  doi:10.3976/j.issn.1002-4026.20230170
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    This study investigates the effects of Gandouling (GDL) tablets on ferroptosis in hepatolenticular degeneration in TX mice and their mechanism of action on the ferroptosis of HT22 cells induced by CuCl2, based on the PKCβII/ACSL4/ ALOX5 signaling pathway. TX mice were divided into five groups: control, model, GDL tablet, Fer-1, and Glutathione. HT22 cells were also divided into five groups: control, model, GDL tablet, Fer-1, and GDL tablet + Fer-1. Hematoxylin and eosin staining was used to detect the pathological changes in the hippocampus tissues of the mice. Western blotting was used to detect the expression of PKCβⅡ, ACSL4, and ALOX5 in the hippocampus tissues and HT22 cells of the mice, as well as the expression of SLC7A11 and GPX4 in HT22 cells. The content of Fe2+ in the hippocampus tissues of the mice was detected via microassay. The levels of SOD, MDA, and GSH-Px in HT22 cells were detected by microplate assay. Finally, the expression of PKCβⅡ, ACSL4, and ALOX5 mRNA in HT22 cells was detected by quantitative real-time polymerase chain reaction. Compared with the control group, the hippocampus tissues of mice in the model group showed clear damage; the protein expression of PKCβⅡ, ACSL4, and ALOX5 showed a clear increase; the protein expression of SLC7A11 and GPX4 decreased significantly; and Fe2+content increased significantly (P<0.05). Compared with the model group, the pathological damage to hippocampus tissues showed improvements in the GDL tablet, Fer-1, and Glutathione group with the effects being noticeable in the GDL tablet group. It was possible to inhibit ferroptosis of HT22 cells in the GDL tablet and Fer-1 group and significantly lower their expression of PKCβⅡ, ACSL4, and ALOX5 protein and mRNA in comparison to the model group(P<0.05). The MDA contentalso decreased significantly (P<0.05) while the SOD activity and the GSH-Px content increased significantly(P<0.05). Thus, GDL tablets can inhibit ferroptosis in hippocampus tissues of TX mice andinhibit ferroptosis induced by CuCl2 in HT22 cells. Moreover, the ferroptosis mechanism may be related to the down-regulation of the PKCβⅡ, ACSL4, and ALOX5 signaling pathway and the attenuation of intracellular lipid peroxidation.

    The mechanism of Fritillariae Thunbergii Bulbus-Trichosanthis Fructu pairing in regulating heart failure complicated by chronic obstructive pulmonary disease based on systems pharmacology and molecular docking
    FANG Mengxiang, CHENG Cheng, CAO Mingchen, REN Wei, YANG Zhiwei, LI Wenjing, XIN Xiaowei, LIU Yuefen, XU Long
    Shandong Science. 2024, 37(4):  45-55.  doi:10.3976/j.issn.1002-4026.20230131
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    We used the Gene Expression Omnibus database to identify targets associated with chronic obstructive pulmonary disease (COPD) and heart failure(HF). Then, we explored the chemical composition and targets of Fritillaria thunbergii-Trichosanthis fructus to determine their potential to regulate COPD complicated by HF. We analyzed the target function and pathway annotation to create a network of tissue-specific protein-protein interactions (PPI).A total of 227 targets were involved in regulating COPD complicated by HF progression through Fritillaria thunbergii-Trichosanthis fructus, including 153 upregulated and 74 downregulated genes.Topological analysis showed that the average median of the PPI network was 0.4, and the average degree value was 1.83, with key targets including RPS23, SNU13, NOL6, ELAVL1. The cellular components were mainly located in the endomembrane system, nuclear endosomes, and extracellular vesicles. Biological processes mainly involved vesicle-mediated transport, microtubule-based motility, and intracellular protein transport.The relevant signaling pathway was the MAPK signaling pathway.MCODE analysis revealed two core clusters: Cluster 1 involves genes such as TKT,ENO1, NCL, and KIF1B, which are involved in regulating the Golgi transport of kinesin and estrogen, and Cluster 2 involves genes such as SIN3B, PHF20, CTBP1, and XPNPEP1, which are involved in the regulation of histone-associated responses.Tissue-specific PPI networks in the auricles, left ventricle, and lungs suggest that the Fritillaria thunbergii-Trichosanthis fructus pairing may affect the progression of COPD complicated by HF through the regulation of the ELAVL1-ENO1-NCL axis.Molecular docking showed that the binding of trichosanic acid, the main active ingredient involved in relieving the chest and dispersing mass, and peimisine, the main ingredient involved in dissipating phlegm and dispersing mass, to the protein targets ELAVL1, ENO1, and NCL was highly stable, and that the binding of peimisine to said three target proteins was stronger than that of trichosanic acid.This indicates that the combination of the two ingredients is first used to treat the lungs and then to regulate the heart, and that they are mutually necessary, resulting in therapeutic effects on both the heart and lungs.

    New Materials
    Prediction of mechanical properties of asphalt mixtures based on optimized neural networks
    WANG Xiaoyang, WAN Chenguang, WANG Xiaofeng
    Shandong Science. 2024, 37(4):  56-64.  doi:10.3976/j.issn.1002-4026.20230149
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    The existing fatigue life prediction of asphalt mixtures is mostly based on traditional fatigue equation fitting; however, due to the multidirectionality of pavement structure and the complexity of materials, the prediction accuracy is often not satisfactory. Therefore, this article establishes an optimized neural network-based model for predicting the strength and fatigue life of asphalt mixtures using indoor indirect tensile tests and verifies the accuracy of the prediction model. The experimental results show that the accuracy of Genetic Algorithm-Back Propagation neural network to predict the fatigue mechanical properties for asphalt mixture is within 4%, which is far superior to traditional fatigue prediction equations and can be used as an effective method to obtain data on the fatigue characteristics of asphalt mixtures.

    Properties of radiative-cooling nylon filaments and their knitted fabrics
    HUANG Jing, BAI Zhihao, WU Ke, DU Lixin, ZHANG Ruiyun, LI Hong, HUANG Liqian
    Shandong Science. 2024, 37(4):  65-74.  doi:10.3976/j.issn.1002-4026.20240031
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    Radiative-cooling nylon is a filament with a passive radiative cooling function and is made of high-infrared-emitting inorganic particle SiO2 and infrared-transmitting material polyamide 6 (PA6) using the industrial melt spinning method. In this study, the surface morphology, aggregated structure, chemical composition, mechanical properties, thermal properties, and surface friction properties of three types of radiative-cooling nylon filaments and an ordinary nylon filament were compared. The thermal conductivity, cool feeling at instant contact, and indoor cooling performance of the four knitted fabrics were further tested. The results show that the knitted fabric interwoven with the radiative-cooling PA6/PE sheath-core composite yarn, which is spun with SiO2-added radiative-cooling PA6 as the skin material and polyethylene (PE) as the core material, and radiative-cooling nylon filament with circular cross-section demonstrate the best thermal conductivity and cooling performance. Its infrared thermal imaging temperature was approximately 1.8 ℃ higher than that of the ordinary nylon knitted fabric, indicating that the knitted fabric exhibits a higher infrared transmittance and better cooling effect. Thus, the radiative-cooling nylon knitted fabric possesses excellent radiative cooling performance and wearability and can be used for the development of radiative-cooling textiles.

    Energy and Power
    Numerical simulation study of sistributed disc-type submerged combustion evaporator
    FENG Hao, WANG Jie, SUI Chunjie, CHEN Wei, ZHANG Bin
    Shandong Science. 2024, 37(4):  75-83.  doi:10.3976/j.issn.1002-4026.20230143
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    Submerged combustion evaporation technology is a heat exchange technology that uses high-temperature flue gas as the heat source to evaporate the liquid in direct contact with it. However, existing research lacks thermal state simulations of the immersed combustion evaporation process and investigations on the impact of the inclination angle of the distribution disc inside the evaporator on the evaporation. In this study, we conducted a thermal state numerical simulation on the structural parameters of the distributed disc-type submerged combustion evaporator using the Euler method. Herein, the flue gas distribution inside the evaporator was obtained by studying the gas-liquid two-phase flow. Additionally, the impact of different distribution disc inclination angles on the evaporation amount and pressure fluctuation was explored. The numerical simulation results indicate that the angle of the distribution disc affects the distribution of flue gas in the liquid. Moreover, the pressure fluctuation at the inlet of the submerged tube can be reduced by increasing the distribution disc’s angle, thereby increasing backpressure stability in the burner. Conversely, the heat exchange effect between gas and liquid can be enhanced by decreasing the distribution disc’s angle, thereby enhancing evaporation efficiency.

    Study on gas-liquid phase equilibrium properties of ionic liquid absorption refrigeration working pairs and their molecular dynamics simulations
    ZHANG Haoran, CHEN Wei
    Shandong Science. 2024, 37(4):  84-92.  doi:10.3976/j.issn.1002-4026.20230138
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    To overcome the shortcomings of traditional absorption refrigeration working pairs, ionic liquid refrigeration working pairs have been widely developed and used as ideal substitutes. Herein, the gas-liquid phase equilibrium properties of the [EMIM]BF4/CH3OH ionic liquid binary system were investigated using static experiments and molecular dynamics simulations. The results reveal that this binary solution shows favorable gas-liquid phase equilibrium properties, and its saturated vapor pressure is experimentally measured to be approximately 21% lower than that of other alcohol-based ionic liquid solutions. In addition, the simulation results exhibit the same order of magnitude and trend as the experimental results, and the relative errors are generally less than 8%. These findings provide physical property database for screening ionic liquid refrigeration working pairs and studying the theoretical cycle system as well as a new method for simulating and predicting the basic properties of ionic liquids.

    Study on supercritical carbon dioxide energy storage system and its operating characteristics
    JIANG Jiahui, WANG Zijie, CHI Ran, CHEN Wei, XUE Xiaodai, ZHANG Tong, ZHANG Xuelin, ZHANG Bin
    Shandong Science. 2024, 37(4):  93-104.  doi:10.3976/j.issn.1002-4026.20230127
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    As a novel energy storage method, compressed supercritical carbon dioxide (sCO2) energy storage offers several advantages, such as high energy storage density, compact structure, long service life, and negative carbon emissions. Therefore, it has a broad application prospect in the energy storage and conversion. In this study, a dynamic mathematical model for the compressed sCO2 energy storage system (SC-CCES) was established based on the mass conservation and energy conservation laws and the reliability of the model was verified. Additionally, dynamic simulations of the SC-CCES system with single-stage compression and single-stage expansion were performed using Matlab/Simulink. Under the designed operating conditions, the energy storage efficiency of the SC-CCES system was found to be 51.98%, with an energy storage density of 447.8 kWh/m3. The energy storage density of the SC-CCES system was more than 20 times higher than that of a traditional compressed air energy storage system. Furthermore, the impact of different high-pressure tank inlet pressures on system performance was analyzed. The results showed that the energy storage efficiency increases with the increase of the inlet pressure of the high-pressure storage tank, while the energy storage density is exactly the opposite. This study provides a basis for the development of compressed carbon dioxide energy storage.

    Traffic and Transportation
    Durability and resilience of Nanjing Rail Transit Network
    GAO Zhanyi, ZHU Chengjuan, HAN Linghui
    Shandong Science. 2024, 37(4):  105-111.  doi:10.3976/j.issn.1002-4026.20230093
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    This study first constructs a topological structure model of the rail transit network based on the Space L network topology method. Herein, upon analyzing network characteristics using UCINET as a basis, the maximum connected subgraph ratio and overall network efficiency are selected as indicators to analyze the resilience of the rail transit network. Then, the article comprehensively analyzes the attribute values of nodes and employs the TOPSIS method to rank the importance of nodes using the coefficient of variation for weighting. Then network resilience is analyzed by destroying individual nodes with high importance, and network recovery is achieved through indicator-based ranking restoration strategies, ultimately yielding the average resilience value of the rail transit network. Furthermore, the resilience and robustness of the rail transit network of Nanjing in 2022 is analyzed based on the established model. Results show that nodes with high degree values often have a greater impact on resilience than other indicators. Prioritizing the repair of nodes with the highest degree values leads to the greatest increase in network efficiency, whereas repairing nodes with the highest closeness to the center has less impact on network efficiency.

    Study on short-term passenger flow prediction for a subway airport line based on Stacking ensemble learning
    YANG An’an, HAN Xingyu, TIAN Kuang, LIU Zeyuan, MING Wei
    Shandong Science. 2024, 37(4):  112-120.  doi:10.3976/j.issn.1002-4026.20230123
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    The highly dynamic nature of subway airport line passenger flows and their susceptibility to the influence of airport flight schedules present challenges for accurate short-term forecasting of passenger flow. This study integrates airport flight information and historical passenger flow data from airport lines to construct a short-term passenger flow forecasting model based on a stacking ensemble model. The model incorporates random forest (RF), LightGBM (light gradient boosting machine), gradient boosting decision tree (GBDT), and logistic regression algorithms to act as ensemble learners. The proposed model is validated using data from the Beijing Subway Daxing Airport Line and is compared against two baseline models, namely informer and long short-term memory (LSTM) networks. The results indicate that the dual-channel prediction, which considers flight information and historical passenger flows, outperforms the single-channel prediction solely based on historical passenger flows. The results also indicate that the stacking model demonstrates superior performance across all metrics. Particularly, the best prediction performance is achieved at a 96 step (24 h) forecast horizon, with mean absolute error of 7.66 and 4.67 for inbound and outbound passenger flow predictions, respectively. Analysis of the impact of flight information characteristics on the prediction model reveals that departure flight information is of relatively lower importance than that of arrival flights, which is attributed to large differences in advance arrival times for departing passengers.

    Study on comprehensive utilization of high-speed railway hub stations
    ZHANG Jie, HE Shiwei, ZHAO Rixin, CHEN Minyu, LIU Jie
    Shandong Science. 2024, 37(4):  121-130.  doi:10.3976/j.issn.1002-4026.20230098
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    To make comprehensive use of the passenger transportation resources in a high-speed railway hub, this study explores the division of labor among passenger stations within a high-speed railway hub. Herein, a multiobjective programming model was developed with the objectives of minimizing the total train operation time and coordinating the capacities of the stations in the hub. The augmented ε-constraint algorithm was used to solve the approximate nondominated frontier of the model. Using the Zhengzhou high-speed railway hub as a case study, the differences between the existing plan and the optimized plan and their adaptabilities were qualitatively and quantitatively compared to validate the feasibility and effectiveness of the proposed model and algorithm. The results show that the augmented ε-constraint algorithm can identify high-quality representative nondominated solutions for the proposed model. Moreover, the optimized plan can reduce the train operation time within the hub and enhance the coordination of station capacity utilization. Thus, this study provides reliable references and reasonable suggestions for decision-making regarding capacity expansion, transformation, and optimization of high-speed railway hub areas.

    Block Chain
    Network security of university library information systems based on blockchain hierarchical storage and domestic commercial cryptographic technology
    LI Yingxin, GUO Zhen, ZHAO Lei, FU Guorui
    Shandong Science. 2024, 37(4):  131-135.  doi:10.3976/j.issn.1002-4026.20230169
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    To enhance the network security capability of library information systems and ensure their safe and stable operation, we have conducted research on various network security issues, such as identity counterfeiting, data leakage, data tampering, data destruction, and difficult to trace important operations, and proposed practical and completely autonomous solutions and methods. These methods include data storage security for library information systems based on blockchain hierarchical storage, identity authentication, data encryption, data integrity, and operational authenticity and repudiation protection based on domestic commercial cryptographic technology. This study is crucial for the construction of a comprehensive and effective network security system for library information systems and the improvement of their network security capability.