Effects of ultrasonic-assisted extraction on bioactive compounds,volatile flavors and antioxidant activities of vine tea water extracts

Background:Ampelopsis grossedentata,vine tea,which is the tea alternative beverages in China.In vine tea processing,a large amount of broken tea is produced,which has low commercial value.Methods:This study investigates the influence of different extraction methods(room temperature water extraction,boiling water extraction,ultrasonic-assisted room temperature water extraction,and ultrasonic-assisted boiling water extraction,referred to as room temperature water extraction(RE),boiling water extraction(BE),ultrasonic assistance at room temperature water extraction(URE),and ultrasonic assistance in boiling water extraction(UBE))on the yield,dihydromyricetin(DMY)content,free amino acid composition,volatile aroma components,and antioxidant properties of vine tea extracts.Results:A notable influence of extraction temperature on the yield of vine tea extracts(P<0.05),with BE yielding the highest at 43.13±0.26%,higher than that of RE(34.29±0.81%).Ultrasound-assisted extraction significantly increased the DMY content of the extracts(P<0.05),whereas DMY content in the RE extracts was 59.94±1.70%,that of URE reached 66.14±2.78%.Analysis revealed 17 amino acids,with L-serine and aspartic acid being the most abundant in the extracts,nevertheless ultrasound-assisted extraction reduced total free amino acid content.Gas chromatography-mass spectrometry analysis demonstrated an increase in the diversity and quantity of compounds in the vine tea water extracts obtained through ultrasonic-assisted extraction.Specifically,69 and 68 volatile compounds were found in URE and UBE extracts,which were higher than the number found in RE and BE extracts.In vitro,antioxidant activity assessments revealed varying antioxidant capacities among different extraction methods,with RE exhibiting the highest DPPH scavenging rate,URE leading in ABTS•+free radical scavenging,and BE demonstrating superior ferric ion reducing antioxidant activity.Conclusion:The findings suggest that extraction methods significantly influence the chemical composition and antioxidant properties of vine tea extracts.Ultrasonic-assisted extraction proved instrumental in elevating the DMY content in vine tea extracts,thereby enriching its flavor profile while maintaining its antioxidant properties.

Determination of REE,U,Тh,Ba,and Zr in simulated hydrogeological leachates by ICP-AES after matrix solvent extraction

A fast, reliable and precise method for the determination of Ba, Zr, Th, U, La, Ce, Eu, Hf and Gd in leaching solutions containing up to 1 mol/L FeCl3 by inductively coupled plasma-atomic emission spectrometry（ICP-AES） was described.Liquid-liquid extraction with diethyl ether was applied for selective and quantitative extraction of the iron with a decontamination factor of 65000.The study has enabled the determination of rare earth elements, U, Th Ba, and Zr, from the solution with high iron content with detection limits in the range of 1-24 ng/ml and a precision of 0.9%-4.6 % relative standard deviation.The developed method was simple and was adopted for implementation in a glove box for handling radioactive materials.

ICP-AES法测定电炉渣中二氧化硅

本文研究了采用酸溶的方式消解样品,ICP-AES光谱法测定电炉渣中二氧化硅的分析方法。采用浓盐酸和浓硝酸溶解电炉尾料样品,加入氢氟酸消解二氧化硅和硼酸络合氟离子,采用ICP-AES法测定电炉尾料样品中的二氧化硅含量。二氧化硅的相对标准偏差RSD为0.35%~0.58%,加标回收率为95.6%~102.3%。方法加标回收率好,满足分析方法要求。

电感耦合等离子体原子发射光谱(ICP-AES)法测定真空精炼镁合金物料中铁、铜、镍

真空精炼是目前镁金属提纯的重要工艺,工艺原料及真空精炼提纯镁金属过程残留物中Fe、Cu、Ni含量的准确测定对工艺参数的优化及调整具有重要的指导作用。传统测定方法中以邻二氮杂菲分光光度法、新亚铜灵分光光度法、丁二酮肟分光光度法测定三种元素含量,结果准确,但操作繁琐,周期较长,难以满足工业生产中高效、快速测定的需要,且方法中所需的有机萃取剂对环境污染较大。选择电感耦合等离子体发射光谱(ICP-AES)法测定真空蒸馏精炼镁合金物料中Fe、Cu、Ni,系统探究溶解酸、溶解温度、溶解时间对物料溶解和测定的影响,选择盐酸(1+1)和过氧化氢溶解体系,200℃加热条件下反应20 min为最佳消解镁合金原料条件;选择王水溶解体系,200℃加热条件下反应25 min为真空精炼残留物最佳溶解条件。并探讨ICP-AES测定过程中各元素的检出限和测定下限以及共存元素的干扰情况,建立了ICP-AES法测定真空精炼提纯镁合金物料的方法。测定结果的相对标准偏差(RSD,n=11)为Fe 5.9%~11.5%、Cu 2.6%~11.8%、Ni 3.4%~11.5%,各元素加标回收率为Fe 96.4%~102%、Cu 101%~108%、Ni 103%~105%;按照建立的方法测定镁合金原料、真空精炼残留物中的铁、铜、镍,并与国家标准方法测定结果进行对比,结果相一致。实现了ICP-AES法快速、准确测定真空蒸馏精炼镁合金物料中铁、铜、镍含量,对及时、高效、准确评估真空精炼提纯镁工艺及产品具有重要意义。

ICP-AES法测定废电解铝阳极碳块中铁、锂、钾、钙、镁含量

废电解铝阳极碳块经过高温碳化,通过盐酸-硝酸-高氯酸三酸溶解完全后,冷却,完全溶解盐类加入10 mL 1.19 g/mL的盐酸,在优选出最优的仪器工作状态下,创建了ICP-AES法测定废电解铝阳极碳块样品中Fe、Li、K、Ca、Mg的化学分析方法。每个元素的校准曲线相关系数均大于0.999,同时对以上多种元素进行检出限、加标回收试验研究,结果表明其相对标准偏差(n=8)为0.60%~2.24%,加标回收率在97.1%~104%。

硝酸镁氧化ICP-AES测定四川土壤全硫初探

采用改进的硝酸镁氧化提取法,在波长181.975 nm下,用ICP-AES对3种国家土壤标准物质(四川土壤)进行全硫含量的测定,结果表明:当硝酸镁溶液的加入量为1.25mL时,能够更好地提取出土壤中的全硫,精密度和准确度都较高,测定结果与标准值相符。该法操作简单,流程短,更节能环保,测定结果稳定可靠,适合大批量的土壤样品分析,可应用于四川低硫土壤全硫的测定。

A Review on Sources,Extractions and Analysis Methods of a Sustainable Biomaterial:Tannins

Condensed and hydrolysable tannins are non-toxic natural polyphenols that are a commercial commodity industrialized for tanning hides to obtain leather and for a growing number of other industrial applications mainly to substitute petroleum-based products.They are a definite class of sustainable materials of the forestry industry.They have been in operation for hundreds of years to manufacture leather and now for a growing number of applications in a variety of other industries,such as wood adhesives,metal coating,pharmaceutical/medical applications and several others.This review presents the main sources,either already or potentially commercial of this forestry by-materials,their industrial and laboratory extraction systems,their systems of analysis with their advantages and drawbacks,be these methods so simple to even appear primitive but nonetheless of proven effectiveness,or very modern and instrumental.It constitutes a basic but essential summary of what is necessary to know of these sustainable materials.In doing so,the review highlights some of the main challenges that remain to be addressed to deliver the quality and economics of tannin supply necessary to fulfill the industrial production requirements for some materials-based uses.

Feature extraction for machine learning-based intrusion detection in IoT networks

A large number of network security breaches in IoT networks have demonstrated the unreliability of current Network Intrusion Detection Systems(NIDSs).Consequently,network interruptions and loss of sensitive data have occurred,which led to an active research area for improving NIDS technologies.In an analysis of related works,it was observed that most researchers aim to obtain better classification results by using a set of untried combinations of Feature Reduction(FR)and Machine Learning(ML)techniques on NIDS datasets.However,these datasets are different in feature sets,attack types,and network design.Therefore,this paper aims to discover whether these techniques can be generalised across various datasets.Six ML models are utilised:a Deep Feed Forward(DFF),Convolutional Neural Network(CNN),Recurrent Neural Network(RNN),Decision Tree(DT),Logistic Regression(LR),and Naive Bayes(NB).The accuracy of three Feature Extraction(FE)algorithms is detected;Principal Component Analysis(PCA),Auto-encoder(AE),and Linear Discriminant Analysis(LDA),are evaluated using three benchmark datasets:UNSW-NB15,ToN-IoT and CSE-CIC-IDS2018.Although PCA and AE algorithms have been widely used,the determination of their optimal number of extracted dimensions has been overlooked.The results indicate that no clear FE method or ML model can achieve the best scores for all datasets.The optimal number of extracted dimensions has been identified for each dataset,and LDA degrades the performance of the ML models on two datasets.The variance is used to analyse the extracted dimensions of LDA and PCA.Finally,this paper concludes that the choice of datasets significantly alters the performance of the applied techniques.We believe that a universal(benchmark)feature set is needed to facilitate further advancement and progress of research in this field.

Experimental investigation on coal pore-fracture variation and fractal characteristics synergistically affected by solvents for improving clean gas extraction

Chemical solvents instead of pure water being as hydraulic fracturing fluid could effectively increase permeability and improve clean methane extraction efficiency.However,pore-fracture variation features of lean coal synergistically affected by solvents have not been fully understood.Ultrasonic testing,nuclear magnetic resonance analysis,liquid phase mass spectrometry was adopted to comprehensively analyze pore-fracture change characteristics of lean coal treated by combined solvent(NMP and CS_(2)).Meanwhile,quantitative characterization of above changing properties was conducted using geometric fractal theory.Relationship model between permeability,fractal dimension and porosity were established.Results indicate that the end face fractures of coal are well developed after CS2and combined solvent treatments,of which,end face box-counting fractal dimensions range from 1.1227 to 1.4767.Maximum decreases in ultrasonic longitudinal wave velocity of coal affected by NMP,CS_(2)and combined solvent are 2.700%,20.521%,22.454%,respectively.Solvent treatments could lead to increasing amount of both mesopores and macropores.Decrease ratio of fractal dimension Dsis 0.259%–2.159%,while permeability increases ratio of NMR ranges from 0.1904 to 6.4486.Meanwhile,combined solvent could dissolve coal polar and non-polar small molecules and expand flow space.Results could provide reference for solvent selection and parameter optimization of permeability-enhancement technology.

Preferentially selective extraction of lithium from spent LiCoO_(2)cathodes by medium-temperature carbon reduction roasting

Lithium recovery from spent lithium-ion batteries(LIBs)have attracted extensive attention due to the skyrocketing price of lithium.The medium-temperature carbon reduction roasting was proposed to preferential selective extraction of lithium from spent Li-CoO_(2)(LCO)cathodes to overcome the incomplete recovery and loss of lithium during the recycling process.The LCO layered structure was destroyed and lithium was completely converted into water-soluble Li2CO_(3)under a suitable temperature to control the reduced state of the cobalt oxide.The Co metal agglomerates generated during medium-temperature carbon reduction roasting were broken by wet grinding and ultrasonic crushing to release the entrained lithium.The results showed that 99.10%of the whole lithium could be recovered as Li2CO_(3)with a purity of 99.55%.This work provided a new perspective on the preferentially selective extraction of lithium from spent lithium batteries.

Automatic Extraction Method of 3D Feature Guidelines for Complex Cultural Relic Surfaces Based on Point Cloud

Cultural relics line graphic serves as a crucial form of traditional artifact information documentation,which is a simple and intuitive product with low cost of displaying compared with 3D models.Dimensionality reduction is undoubtedly necessary for line drawings.However,most existing methods for artifact drawing rely on the principles of orthographic projection that always cannot avoid angle occlusion and data overlapping while the surface of cultural relics is complex.Therefore,conformal mapping was introduced as a dimensionality reduction way to compensate for the limitation of orthographic projection.Based on the given criteria for assessing surface complexity,this paper proposed a three-dimensional feature guideline extraction method for complex cultural relic surfaces.A 2D and 3D combined factor that measured the importance of points on describing surface features,vertex weight,was designed.Then the selection threshold for feature guideline extraction was determined based on the differences between vertex weight and shape index distributions.The feasibility and stability were verified through experiments conducted on real cultural relic surface data.Results demonstrated the ability of the method to address the challenges associated with the automatic generation of line drawings for complex surfaces.The extraction method and the obtained results will be useful for line graphic drawing,displaying and propaganda of cultural relics.

超级微波消解-ICP-AES法测定铑炭催化剂中铑含量

建立一种采用超级微波消解,ICP光谱法测定5%Rh/C催化剂中Rh含量的方法。通过单因素实验和正交优化,对称样量、酸体系、消解温度、消解时间等因素进行考察,确定最佳消解方法:约0.10 g试样在密闭消解罐中,以9 mL硝酸和1 mL过氧化氢为酸体系,240℃消解温度下保持40 min,经赶酸定容后,采用ICP-AES法测定溶液中的贵金属含量。该方法简便、快捷,消解试样完全且结果稳定,相对标准偏差小于1.0%。

超级微波消解-ICP-AES法测定铑粉中16种杂质元素

在高温高压条件下用盐酸-双氧水消解铑粉样品,采用电感耦合等离子体发射光谱仪(ICP-AES)测定其中16种杂质元素[1]。进行了光谱干扰研究、谱线选择、加标回收、精密度以及基体匹配比对试验。该方法简便、快速、准确,其测定范围为0.0005%~0.10%,RSD在1.88%~12.15%之间,加标回收率在92.0%~114.6%之间,不同方法结果对照数据吻合良好。该方法可满足铑粉中16种杂质元素的测定要求。

电感耦合等离子体原子发射光谱(ICP-AES)法与EDTA滴定法联用测定含白云岩矿石中氟化钙

氟化钙的测定目前较多采用的是国家标准方法GB/T 5195.1—2017和DZG93-05非金属矿萤石分析规程两种方法,前者测定范围≥60%,后者测定范围>3%。两种方法各有优缺点,然而却都无法满足矿石中含有白云岩时的测定。对于萤石矿与白云岩共存样品,直接采用国家标准方法,测定结果偏高,行业标准方法测定的精密度和准确度也很难达到要求。通过对方法进行优化,在样品中加入含钙冰乙酸分离碳酸钙,过滤残渣用混合酸分解后,直接取澄清液在Ca 317.933 nm处,使用电感耦合等离子体原子发射光谱法(ICP-AES)测定氟化钙含量,根据测定结果,将氟化钙质量分数大于15%的样品用EDTA滴定法再次测定。按照实验方法测定实际样品,两种方法测定结果的相对标准偏差(RSD,n=11)分别为1.9%和0.77%,加标回收率为97.9%~102%,可满足含白云岩矿石中氟化钙的准确测定。

Effects of conductive agent type on lithium extraction from salt lake brine with LiFePO_(4) electrodes

Electrochemical lithium extraction from salt lakes is an effective strategy for obtaining lithium at a low cost.Nevertheless,the elevated Mg:Li ratio and the presence of numerous coexisting ions in salt lake brines give rise to challenges,such as prolonged lithium extraction periods,diminished lithium extraction efficiency,and considerable environmental pollution.In this work,Li FePO4(LFP)served as the electrode material for electrochemical lithium extraction.The conductive network in the LFP electrode was optimized by adjusting the type of conductive agent.This approach resulted in high lithium extraction efficiency and extended cycle life.When the single conductive agent of acetylene black(AB)or multiwalled carbon nanotubes(MWCNTs)was replaced with the mixed conductive agent of AB/MWCNTs,the average diffusion coefficient of Li+in the electrode increased from 2.35×10^(-9)or 1.77×10^(-9)to 4.21×10^(-9)cm^(2)·s^(-1).At the current density of 20 mA·g^(-1),the average lithium extraction capacity per gram of LFP electrode increased from 30.36 mg with the single conductive agent(AB)to 35.62 mg with the mixed conductive agent(AB/MWCNTs).When the mixed conductive agent was used,the capacity retention of the electrode after 30 cycles reached 82.9%,which was considerably higher than the capacity retention of 65.8%obtained when the single AB was utilized.Meanwhile,the electrode with mixed conductive agent of AB/MWCNTs provided good cycling performance.When the conductive agent content decreased or the loading capacity increased,the electrode containing the mixed conductive agent continued to show excellent electrochemical performance.Furthermore,a self-designed,highly efficient,continuous lithium extraction device was constructed.The electrode utilizing the AB/MWCNT mixed conductive agent maintained excellent adsorption capacity and cycling performance in this device.This work provides a new perspective for the electrochemical extraction of lithium using LFP electrodes.

Influence of the Extraction Process on the Characteristics of Romanian Mountain Walnut Oil

The objective of this work is to extract walnut oil using various processes in order to compare the influence on the nature of the components extracted, and thus identify the areas of potential use. We carried out the extractions by mechanical process, thanks to a press in reduced model provided with a worm. We obtained cold extracted oil whose characteristics slightly diverge from extra virgin oil found in shops in Romania, but its composition is similar. We were also able to extract by chemical process using two methods, Folch and Soxhlet. Commercially available table walnut oils are only cold extracted to avoid the presence of solvents. Those are difficult to remove and strongly oxidize the oil. Currently, consumers appreciate walnut oil for its taste and nutritional qualities. In nutrition, this oil is put forward for its composition rich in polyunsaturated fatty acids, which are needed for human body. Food supplements made from walnut oil are available today. For the moment, this is the only use of walnut oil. Indeed, there are some studies on other fields of application, but they remain in the field of research and nothing has yet been commercialized. In this present study, we compared the chemical and physical properties of cold-extracted oil with the solvent extraction of walnut kernel originating from the mountain region of Rumania. The cold extracted oil has a high content of polyunsaturated fatty acids (63%) and monounsaturated fatty acids (30%), a very low level of saturated fatty acid (7%) and no content of linolenic acid. The Soxhlet and Folch methods produced slightly different oils with increased amounts of minor components, which changes their characteristic. Even when solvent-extracted oils do not meet the standard criteria imposed by the Codex Alimentarius, they offer a possible use in the fields of food, cosmetics industries and biomedicine.

Development of a Simple Extraction Method for Tetracycline Analogues from Bovine Milk

Tetracycline and analogues are among the most used antibiotics in the dairy industry. Besides the therapeutic uses, tetracyclines are often incorporated into livestock feed as growth promoters. A considerable amount of antibiotics is released unaltered through milk from dairy animals. The presence of antibiotic residues in milk and their subsequent consumption can lead to potential health impacts, including cancer, hypersensitivity reactions, and the development of antibiotic resistance. Thus, it is important to monitor residual levels of tetracyclines in milk. The purpose of this study is to develop a quick and simple method for simultaneously extracting five tetracycline analogues from bovine milk. Specifically, five tetracycline analogues: Chlortetracycline (CTC), demeclocycline (DEM), doxycycline (DC), minocycline (MC), and tetracycline (TC) were simultaneously extracted from milk using trifluoroacetic acid. Subsequently, the extracted analogues were separated by reverse-phase high-performance liquid chromatography (RP-HPLC) and detected at 355 nm using UV/Vis. Calibration curves for all five tetracycline analogues show excellent linearity (r2 value > 0.99). Percent recovery for MC, TC, DEM, CTC, and DC were: 31.88%, 96.91%, 151.29, 99.20%, and 85.58% respectively. The developed extraction method has good precision (RSD < 9.9% for 4 of the 5 analogues). The developed method with minimal sample preparation and pretreatment has the potential to serve as an initial screening test.

A comprehensive review of existing corpora and methods for creating annotated corpora for event extraction tasks

Purpose:The purpose of this study is to serve as a comprehensive review of the existing annotated corpora.This review study aims to provide information on the existing annotated corpora for event extraction,which are limited but essential for training and improving the existing event extraction algorithms.In addition to the primary goal of this study,it provides guidelines for preparing an annotated corpus and suggests suitable tools for the annotation task.Design/methodology/approach:This study employs an analytical approach to examine available corpus that is suitable for event extraction tasks.It offers an in-depth analysis of existing event extraction corpora and provides systematic guidelines for researchers to develop accurate,high-quality corpora.This ensures the reliability of the created corpus and its suitability for training machine learning algorithms.Findings:Our exploration reveals a scarcity of annotated corpora for event extraction tasks.In particular,the English corpora are mainly focused on the biomedical and general domains.Despite the issue of annotated corpora scarcity,there are several high-quality corpora available and widely used as benchmark datasets.However,access to some of these corpora might be limited owing to closed-access policies or discontinued maintenance after being initially released,rendering them inaccessible owing to broken links.Therefore,this study documents the available corpora for event extraction tasks.Research limitations:Our study focuses only on well-known corpora available in English and Chinese.Nevertheless,this study places a strong emphasis on the English corpora due to its status as a global lingua franca,making it widely understood compared to other languages.Practical implications:We genuinely believe that this study provides valuable knowledge that can serve as a guiding framework for preparing and accurately annotating events from text corpora.It provides comprehensive guidelines for researchers to improve the quality of corpus annotations,especially for event extraction tasks across various domains.Originality/value:This study comprehensively compiled information on the existing annotated corpora for event extraction tasks and provided preparation guidelines.

ICP-AES法测定锌浮渣中镉、砷、锑、铋含量

锌浮渣样品通过盐酸-硝酸-氢氟酸-高氯酸溶解完全后,冷却,加入5 mL盐酸溶解盐类至溶液清亮,以基体匹配法绘制标准曲线避免基体的干扰,建立了电感耦合等离子体原子发射光谱法(ICP-AES)测定锌浮渣样品中Cd、As、Sb、Bi的化学分析方法。在确定的实验条件下,选择Cd 226.5 nm、As 189.0 nm、Sb 231.1 nm、Bi 190.1 nm为分析谱线,每个元素的校准曲线相关系数均大于0.999;同时对以上多种元素进行加标回收和精密度实验,结果表明其相对标准偏差(RSD,n=8)均小于2%,加标回收率为97.4%~103.2%。ICP-AES法操作简便、结果准确可靠,能够满足锌浮渣中多种元素精确测定的要求。

A Joint Entity Relation Extraction Model Based on Relation Semantic Template Automatically Constructed

The joint entity relation extraction model which integrates the semantic information of relation is favored by relevant researchers because of its effectiveness in solving the overlapping of entities,and the method of defining the semantic template of relation manually is particularly prominent in the extraction effect because it can obtain the deep semantic information of relation.However,this method has some problems,such as relying on expert experience and poor portability.Inspired by the rule-based entity relation extraction method,this paper proposes a joint entity relation extraction model based on a relation semantic template automatically constructed,which is abbreviated as RSTAC.This model refines the extraction rules of relation semantic templates from relation corpus through dependency parsing and realizes the automatic construction of relation semantic templates.Based on the relation semantic template,the process of relation classification and triplet extraction is constrained,and finally,the entity relation triplet is obtained.The experimental results on the three major Chinese datasets of DuIE,SanWen,and FinRE showthat the RSTAC model successfully obtains rich deep semantics of relation,improves the extraction effect of entity relation triples,and the F1 scores are increased by an average of 0.96% compared with classical joint extraction models such as CasRel,TPLinker,and RFBFN.