Thin Layer Identification of Jiedu Shengxue Granules and Determination of Notoginsenoside R1 Content

[Objectives]To establish the quality standard of hospital preparation Jiedu Shengxue granules.[Methods]Scleromitrion diffusum and Prunella vulgaris in Jiedu Shengxue granules were qualitatively identified by thin layer chromatography(TLC).A high performance liquid chromatography(HPLC)was established to determine the content of notoginsenoside R1 in the granule.[Results]The traditional Chinese medicinal materials in Jiedu Shengxue granules could be identified by TLC,and the characteristic spots were stable and clear.Notoginsenoside R1 had a good linear relationship in the range of 10.45-104.5μg/mL,with an average recovery of 98.52%and RSD=2.36%.[Conclusions]TLC and HPLC,as the quality control methods of Jiedu Shengxue granules,have high accuracy and good repeatability,which lays a foundation for the quality control of this mixture.

Preliminary studies on the early quality identification of A uric ularia auricular

In production industry of Auricularia auricular, the varieties quality is most important impact factor on output. For evaluating the early quality of the edible fungus, 9 varieties of Auricularia auricular (Au9, CF09, CF05, 29, 916, chang10, chang7, Au.Japanese and 8808) were cultured on the medium consists of potato dextrose agar (PDA) and sawdust to test their mycelium growth rate, endurance to high temperature, resistance to mildew, assimilation of nutriment, and resistance to drought. The result showed that the mycelium of Chang 10, CF09, 29 and Au.Japanese varieties had the eminent characteristics such as short lifespan, stronger assimilation of nutriment, and endurance to high temperature and steady growth. These four varieties are determined as superiority varieties of Auricularia auricular in accordance with the research results.

Study on Quality Standards of Jianjin Zhuanggu Paste

[Objectives]Some Chinese medicinal materials of Jianjin Zhuanggu Paste were microscopically identified,and several active ingredients were studied by thin-layer identification,which provides reference for further improving the quality standards of hospital preparations.[Methods]The effective components of Jianjin Zhuanggu Paste were qualitatively identified by thin-layer chromatography(TLC).[Results]The microscopic identification of the three Chinese medicinal materials in Jianjin Zhuanggu Paste showed the microscopic characteristics of Radix Codonopsis,Radix Astragali and Radix Notoginseng.TLC identification showed that there were characteristic spots of Radix Codonopsis,Radix Astragali,Radix Rehmanniae Preparata and Radix Notoginseng in Jianjin Zhuanggu Paste.[Conclusions]This study established the quality standard research method of Jianjin Zhuanggu Paste,which further strengthens the safety standards of hospital preparations,and improves the clinical efficacy of drugs,as well as the quality standards of hospital preparations to a certain extent.

Identification of Water Quality Model Parameter Based on Finite Difference and Monte Carlo

Identification results of water quality model parameter directly affect the accuracy of water quality numerical simulation. To overcome the difficulty of parameter identification caused by the measurement’s uncertainty, a new method which is the coupling of Finite Difference Method and Markov Chain Monte Carlo is developed to identify the parameters of water quality model in this paper. Taking a certain long distance open channel as an example, the effects to the results of parameters identification with different noise are discussed under steady and un-steady non-uniform flow scenarios. And also this proposed method is compared with finite difference method and Nelder Mead Simplex. The results show that it can give better results by the new method. It has good noise resistance and provides a new way to identify water quality model parameters.

Multispectral Imaging for Authenticity Identification and Quality Evaluation of <i>Flos carthami</i>

The identification and quality evaluation of Flos carthami were studied using tunable liquid spectral imaging instrument, to discuss the application range and advantages of spectral imaging technology in Chinese medicine identification and quality control field. The Flos carthami was indentified by extracting the normalized characteristic spectral curves of Flos carthami, Crocus sativus and Dendranthema morifolium, which were standard samples supplied by National Institute for Drug Control. The qualities of Flos carthamies collecting from different pharmacies were evaluated by extracting their normalized characteristic spectral curves. The imaging spectrum testing system was designed independently. The spectral resolution was 5 nm, and the spectral range was from 400 nm to 680 nm. The results showed that the normalized characteristic spectral curve of Flos carthami was significantly different from those of Crocus sativus’ and Dendranthema morifolium’s, and the fluorescence intensity of Flos carthami from different commercial sources were different. Spectral imaging technology could be used to identify and evaluate Flos carthami, and operation method was rapid, convenient and non-destructive.

A Novel Deep Learning Method for Application Identification in Wireless Network

In modern wireless communication network, the increased consumer demands for multi-type applications and high quality services have become a prominent trend, and put considerable pressure on the wireless network. In that case, the Quality of Experience(Qo E) has received much attention and has become a key performance measurement for the application and service. In order to meet the users' expectations, the management of the resource is crucial in wireless network, especially the Qo E based resource allocation. One of the effective way for resource allocation management is accurate application identification. In this paper, we propose a novel deep learning based method for application identification. We first analyse the requirement of managing Qo E for wireless communication, and review the limitation of the traditional identification methods. After that, a deep learning based method is proposed for automatically extracting the features and identifying the type of application. The proposed method is evaluated by using the practical wireless traffic data, and the experiments verify the effectiveness of our method.

Auto Identification of Rolling Layers in Roller-Compacted Concrete Dam

A scheme for identifying rolling layers in roller-compacted concrete (RCC) dam automatically was presented. First, a conceptual model was developed. Second, by using a computational geometry method, the auto identification of rolling layers and auto matching between rolling compaction machines and rolling layers were realized based on spatial control points. An application to the construction of Guandi RCC dam showed that the auto identification of rolling layers played an important role in ensuring the engineering quality.

Extraction Process and Quality Standard of Danshen Jianxin Capsules

[Objectives]This study was conducted to establish the quality standard of Danshen Jianxin Capsules.[Methods]Orthogonal design was adopted to optimize the water extraction process by taking the amount of water added,extraction time and extraction times as factors,and the content of tanshinone I as the index.Salviae Miltiorrhizae,Notoginseng Radix Et Rhizoma and Radix Astragali in the capsules were qualitatively identified by TLC,and the content of tanshinone I in the capsules was determined by HPLC.[Results]The best water extraction process included the steps of adding 12 times of water each time,extracting the materials twice,for 1 h each time.In TLC identification,the test samples showed spots of the same color at the positions corresponding to tanshinone II A,ginsenoside Rg1,notoginsenoside R1 and astragaloside IV reference samples.[Conclusions]Danshen Jianxin Capsules was prepared by the water extraction method,which is characterized by high efficiency and being suitable for mass production.The quality control method is reliable,fast and accurate,which can effectively control the quality of the product.

Link Budget Design with Performance Evaluation of Tunable Impulse-Based Ultra Wideband to Support the Integration of Wireless Sensing and Identifications Infrastructures

Recently, many studies propose the use of ultra-wideband technology for passive and active radio frequency identification systems as well as for wireless sensor networks due to its numerous advantages. By harvesting these advantages of IR-UWB technology at the physical-layer design, this paper proposes that a cross layer architecture platform can be considered as a good integrator for different wireless short-ranges indoor protocols into a universal smart wireless-tagged architecture with new promising applications in cognitive radio for future applications. Adaptive transmission algorithms have been studied to show the trade-off between different specific QoS requirements, transmission rates and distances at the physical layer level and this type of dynamic optimization and reconfiguration leads to the cross-layer design proposal in the paper. Studies from both theoretical simulation and statistical indoor environments experiments are considered as a proof of concept for the proposed architecture.

Identification of Citric Acid in Wuhuang Oral Liquid by Thin Layer Chromatography

[Objectives] To screen the identification conditions of citric acid in Wuhuang Oral Liquid by thin layer chromatography,and establish the quality control method for citric acid in Wuhuang Oral Liquid.[Methods] Different treatment methods were adopted for test sample,developing agent,and drying time,thin layer chromatography separation condition and spot definition were taken as indicators to conduct experiment,to select optimal thin layer identification method. [Results] Methanol was used as the extraction solvent,ultrasonic treatment,ether extraction,dissolution by anhydrous ethanol as treatment conditions of test sample; upper solution of butyl acetate-formic acid-water(4 ∶ 2 ∶ 2) after placing one hour was taken as developing agent; 0. 1% bromocresol green(BCG) as the developer; when developing the color in 3 hours after development,in thin layer chromatograph,there appeared the same strip in the same position of test sample of Wuhuang ORAL Liquid and control substance,no obvious trailing phenomenon,and the color was uniform and clear.[Conclusions]The thin layer chromatography identification conditions can be used as the method for quality control of Wuhuang Oral Liquid.

Preliminary Study on Quality Analysis of Yao Medicine Pileostegia tomentella Hand.-Mazz.

[Objectives]To establish a method for quality analysis of Medicine Pileostegia tomentella Hand.-Mazz.[Methods]According to the testing method of Chinese Pharmacopoeia(2020 Edition),the water content,total ash and alcohol-soluble extract of P.tomentella Hand.-Mazz.were determined.[Results]10 batches of P.tomentella Hand.-Mazz.from different habitats and in different collection time in Guangxi all had the same plant morphology and medicinal properties.The experimental results showed that the water content was 7.92%-10.35%,the total ash content was 5.53%-6.62%,the acid-insoluble ash content was 0.59%-0.76%,and the extract content was 11.63%-16.12%.[Conclusions]The identification method in this study can be used for the quality analysis of P.tomentella Hand.-Mazz.,and the experimental results can provide a scientific basis for the development and utilization of P.tomentella Hand.-Mazz.and the establishment of its quality standard.

桥梁健康监测数据的质量评估方法研究

桥梁健康监测数据的挖掘和分析工作只有在整体数据质量符合基本要求的有效数据基础上进行,才能保障如模态参数识别、损伤识别和状态评估等后续工作的准确性。因此,基于量化改进的探索性分析方法(Exploratory Data Analysis,EDA)和相关性分析从数据完整性、准确性和一致性的角度建立了桥梁健康监测静、动态数据的质量评估方法。对某大跨度斜拉桥健康监测系统的静、动态数据进行质量评估,通过对比分析了不同评估质量的温度数据、静挠度数据和不同评估质量的主梁竖向加速度动力信号的模态参数识别的稳定图,验证了所提方法的正确性。结果表明,所提评估方法能够快速有效地判断数据质量的好坏,进而确保桥梁结构的服役性能评估和预测的准确性,有利于提高健康监测数据的可用性和效能。

近红外光谱无损分析肉类品质的研究进展

近年来,近红外光谱分析技术以其无损、快速、高效、环境友好等特点,被广泛应用于肉类品质无损快速分析领域。然而,由于基质复杂、水分含量高,肉类常会对近红外光谱产生一定干扰,进而影响分析结果的准确度。为进一步明确近红外光谱分析技术在肉类品质无损分析方面的最新研究进展,本文对近年来近红外光谱技术在牛肉、羊肉、猪肉、鸡肉、水产品5种常见肉类的品质无损分析方面的应用进行梳理,包括品质检测、分类研究、真伪鉴别、质量安全4个方面,并就近红外光谱分析技术在肉类品质无损分析方面的应用进行总结与展望。可为近红外光谱分析技术在肉类品质无损检测、分类研究、真伪鉴别及质量安全方面的应用提供一定的参考与借鉴。

浮游生物对渭河水环境的响应机理及生态效应

【目的】为探究浮游生物对渭河陕西段水环境的响应机理及生态效应,【方法】以渭河陕西段为研究区,于2021年4月共设置14个采样点,采集14份水样,分析浮游生物群落结构空间分布特征;评估浮游生物群落的均匀性、物种丰富度和多样性时,常用Pielou指数、Margalef指数和Shannon-Weiner指数,并评价断面水环境质量;利用典范对应分析(CCA)和冗余分析(RDA)识别环境因子对浮游植物和浮游动物群落空间分布的影响程度。【结果】结果表明:渭河陕西段浮游植物共有7门55种,硅藻门种类数最多(49.09%),优势种有6种;浮游动物共3门22种,轮虫占比最高(68.18%),优势种有4种;浮游植物的H′、J及d变化范围分别为1.017~4.025、0.267~0.890、0.446~1.099,浮游动物其指数变化范围分别为0.811~2.459、0.754~1.000、0.126~0.542;CCA分析显示,影响浮游植物群落空间分布变化的环境因子主要有TP、NH_(3)-N和pH;根据RDA分析结果显示,对于浮游动物群落结构的主要影响因子,化学需氧量(COD)和水温(WT)起到了关键作用。【结论】结论显示:渭河陕西段浮游生物指数变化显示研究区域呈现清洁—中污染状态;根据《中国淡水藻类—系统、分类及生态》《环境和指示生物(水域分册)》中浮游植物和浮游动物的水污染指示物种判断水环境状况,对比本研究浮游植物和浮游动物的多样性指数评价水环境质量,得出浮游动物对水质评价的响应结果更加准确。通过构建水环境-浮游生物对比判断模型,选择区域更加准确的评价指标,有助于提高浮游生物对水生态环境指示作用的准确性,进而揭示浮游生物对水生态环境的响应机理。以上结果可为渭河流域水生态环境保护提供理论参考。

基于混合分解多尺度时频图和Res-GRU-AT的电能质量复合扰动识别

能源互联网背景下的电能质量问题越来越凸显,针对传统电能质量扰动(power quality disturbances,PQDs)识别过程中存在的信号特征提取复杂、算法识别能力不足和复合扰动区分困难等问题,提出了一种混合分量多尺度时频图和残差神经网络(residual neural network,ResNet)、门控循环单元(gated recurrent units,GRU)网络与注意力机制(attention,AT)组合的电能质量复合扰动识别新方法—Res-GRU-AT。首先利用奇异谱分解(singular spectrum decomposition,SSD)和逐次变分模态分解(successive variational mode decomposition,SVMD)对PQDs信号分别进行多尺度分解得到混合分量,再对混合分量进行希尔伯特黄变换(Hilbert-Huang transform,HHT),分析得到多尺度时频图。其次,利用Res-GRU-AT模型对多尺度时频图进行深层次特征提取、强化和识别。Res-GRU-AT模型能够利用ResNet的二维图像空间特征提取能力和GRU的时序特征提取能力进行特征融合,再通过AT进行特征加权强化,提高了PQDs的识别能力。不同方案的仿真结果表明,所提方法特征提取能力强且抗噪性能好,对复合扰动识别率高。

醋醅源非酿酒酵母的鉴定及其对葡萄酒品质的影响

为改善传统商业酿酒酵母酿造葡萄酒的风味与口感,以醋醅中分离的菌株JM为研究对象,对其进行形态学观察、分子生物学鉴定和耐受性分析;以菌株JM、商业酿酒酵母(SC)和安琪活性生香干酵母(ADY)单菌及混菌发酵酿造葡萄酒,并对其品质进行分析。结果表明,经鉴定,菌株JM被鉴定为扁平云假丝酵母(Candida humilis),在发酵液中总酯产量为2.64 g/L,其可耐受3.0%柠檬酸、温度35℃、体积分数6%的乙醇及4%NaCl。在不同组别葡萄酒样品中,JM+SC混菌制备的葡萄酒品质最佳,其酒体颜色为紫红色,L*值、a*值、b*值分别为53.93、20.38、4.85;糖度为7°Bx,总酸含量为3.38 g/L,还原糖含量为22.00 g/L,pH为3.58,花色苷含量为205.52 mg/L,酒精度为12.60%vol,总酯含量为1.47 g/L;1,1-二苯基-2-三硝基苯肼(DPPH)、2,2'-联氮-双(3-乙基苯并噻唑啉-6-磺酸)(ABTS)自由基清除率分别为42.21%、32.86%;酒样富含丙酸乙酯和乙酸戊酯,果香浓郁,清爽可口,具备酿造高品质葡萄酒的潜力。

基于ISSA-XGBoost的电能质量扰动识别方法研究

针对传统电能质量扰动(power quality disturbances,PQDs)识别中特征提取有冗余,识别精度不高等问题,提出了一种基于改进麻雀搜索算法(improved sparrow search algorithm,ISSA)优化特征选择和极致梯度提升(eXtreme gradient boosting,XGBoost)的电能质量扰动识别方法。首先对电能质量扰动信号进行S变换,提取61种电能质量特征。再通过ISSA同时选择最优特征子集和XGBoost中最优参数,剔除冗余特征,提高识别精度。最后根据优化后的最优特征子集和XGBoost实现电能质量扰动的识别。仿真结果表明,所提出的方法能有效选择最优特征子集,对噪声环境下的19种电能质量扰动信号进行高效识别,并且具有较高的识别精度。

逍遥散方质量控制技术研究进展

逍遥散方为治疗妇科诸疾、郁证的代表方,由柴胡、当归、茯苓、白芍、白术、甘草、生姜、薄荷8味饮片组成,具有疏肝解郁、养血健脾的功效。文章就近10年来逍遥散方在制备工艺、鉴别技术、含有量测定等方面出现的新方法、新技术进行归纳总结,以期为该方制剂的质量控制及进一步开发应用提供科学依据。

面向企业画像的高质量专利识别研究

高质量专利在揭示技术创新水平、推动科技应用以及强化企业竞争优势方面具有至关重要的作用。文章利用企业画像技术构建了高质量专利评价指标体系,通过采集异构数据、构建企业画像、搭建指标体系和识别高质量专利,进一步完善识别流程,形成了高质量专利识别模型。以南京南瑞集团公司为例,验证了该模型的科学性和实用性。研究结果充分展示了通过企业画像技术构建高质量专利识别模型的可行性和实际应用效果,为企业在创新发展中更好地把握高质量专利的方向提供了有价值的启示。

福建省水稻新品种米质鉴定与评价

为了解福建省水稻品比品种的稻米品质状况,对2021—2023年福建省水稻品比品种稻米品质作了鉴定与评价。结果表明:籼稻品种透明度、直链淀粉含量、胶稠度、整精米率等4项定级指标优质率均较高,但是综合优质率仍然较低,特别是达到部颁一等的优质稻品种数量极少。垩白度优质率仍然是6项定级指标中优质率最低的指标,而碱消值是仅次于垩白度的限制优质率的品质指标。因此,为提高籼稻品种优质率,垩白度和碱消值是今后籼稻育种应该重点考虑提升的指标。