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  1. AU="Xueting Feng"
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  1. Article ; Online: Magnetic Technologies and Green Solvents in Extraction and Separation of Bioactive Molecules Together with Biochemical Objects

    Xueting Feng / Hang Song / Tenghe Zhang / Shun Yao / Yan Wang

    Separations, Vol 9, Iss 346, p

    Current Opportunities and Challenges

    2022  Volume 346

    Abstract: Currently, magnetic technology and green solvents are widely used in chemical engineering, environmental engineering and other fields as they are environmentally friendly, easy to operate and highly efficient. Moreover, a magnetic field has positive ... ...

    Abstract Currently, magnetic technology and green solvents are widely used in chemical engineering, environmental engineering and other fields as they are environmentally friendly, easy to operate and highly efficient. Moreover, a magnetic field has positive effect on many physicochemical processes. However, related new methods, materials, strategies and applications in separation science still need to be developed. In this review, a series of meaningful explorations of magnetic technologies for the separation of natural products and biologic objects, including magnetic ionic liquids and other magnetic solvents and fluids, magnetic nanoparticles and magnetic fields, and the development of magnetic separators were reviewed. Furthermore, the difficulties in the application and development of magnetic separation technology were discussed on the basis of comparison and data analysis, especially for the selection of magnetic materials and magnetic field sources. Finally, the progress in the development of magnetic separators was also elaborated for researchers, mainly including that of the new high-efficiency magnetic separator through multi-technology integration and the optimization of traditional magnetic separators, which help current techniques break through their bottleneck as a powerful driving force.
    Keywords magnetic separation ; magnetic ionic liquids ; magnetic materials ; magnetic field ; natural products ; biochemical objects ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 620
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Runoff time series prediction using LSTM dynamic neural network optimized by logistic chaotic mapping chicken swarm algorithm

    Wenyu Yang / Junfeng Li / XueGe Gu / Wenying Qu / Chengxiao Ma / Xueting Feng

    Journal of Water and Climate Change, Vol 14, Iss 9, Pp 2935-

    2023  Volume 2953

    Abstract: An algorithm, named long short-term memory (LSTM)-logistic chaos mapping chicken swarm algorithm (LCCSA), is proposed for initializing the weights and thresholds of LSTM neural networks using the Logistic chaotic mapping chicken swarm algorithm (CSA). ... ...

    Abstract An algorithm, named long short-term memory (LSTM)-logistic chaos mapping chicken swarm algorithm (LCCSA), is proposed for initializing the weights and thresholds of LSTM neural networks using the Logistic chaotic mapping chicken swarm algorithm (CSA). This algorithm aims to improve mid- to long-term runoff sequence prediction in river basins. In this model, the logistic chaotic mapping method is used to initialize the chicken swarm, and LCCSA is employed to pre-train the weights and thresholds of each layer of LSTM 50 times, using the training results' initial weights of LSTM to enhance convergence accuracy and speed. Taking the Manas river and Kuitun river, two typical basins in northern Xinjiang, China, as the research objects, LSTM-LCCSA was used to forecast the mean monthly runoff in the mid- to long-term under different lag time series by using the runoff evolution data within a certain period. The example using the basin located in northern Xinjiang demonstrates the effectiveness, stability, and generality of the LSTM-LCCSA method in mid- to long-term prediction of average monthly runoff, and the prediction accuracy and universality of LSTM-LCCSA are better than other data-driven models. HIGHLIGHTS Proposed an LSTM-LCCSA algorithm to address mid- to long-term runoff sequence prediction in river basins.; Initialization of the chicken swarm using a logistic chaotic mapping method improved population diversity and avoided CSA falling into a local extreme value.; The intercomparison of data-driven models (CM-SVM, GA-SAA, MRA, GA-FFNN) with respect to prediction accuracy and stability.;
    Keywords csa ; chaotic mapping ; lstm ; lstm-lccsa ; mid- to long-term runoff prediction ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350
    Subject code 629
    Language English
    Publishing date 2023-09-01T00:00:00Z
    Publisher IWA Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Bionic multi-tentacled ionic liquid-modified silica gel for adsorption and separation of polyphenols from green tea (Camellia sinensis) leaves

    Zhang, Wei / Shun Yao / Xueting Feng / Yohannes Alula

    Food chemistry. 2017 Sept. 01, v. 230

    2017  

    Abstract: For the first time, a new kind of bionic multi-tentacled ionic liquid-modified silica gel was synthesized and used as selective adsorbent in the preparative separation of tea polyphenols (TP) from green tea leaves. It was found that silica particles with ...

    Abstract For the first time, a new kind of bionic multi-tentacled ionic liquid-modified silica gel was synthesized and used as selective adsorbent in the preparative separation of tea polyphenols (TP) from green tea leaves. It was found that silica particles with polyvinyl alcohol chains modified by N-methyl imidazole proline salt (PVA·Im+·Pro−@SiO2) had the excellent performance in selective adsorption as well as fine separation for target compounds. The new adsorbent exhibited high adsorption capacity and good reusability, meanwhile the antioxidant activity of TP could be improved through its efficient enrichment. It properties and adsorption mechanism were also investigated comprehensively and compared with those reported sorbents. Finally, the preparative separation of individual catechin from crude extracts was successfully achieved on the chromatographic column packed with PVA·Im+·Pro−@SiO2 particles and four main constituents were obtained successively. The study was expected to provide a new way for the effective separation of similar bioactive compounds.
    Keywords adsorbents ; adsorption ; antioxidant activity ; bioactive compounds ; Camellia sinensis ; catechin ; chromatography ; green tea ; leaves ; polyphenols ; polyvinyl alcohol ; proline ; silica gel
    Language English
    Dates of publication 2017-0901
    Size p. 637-648.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 243123-3
    ISSN 1873-7072 ; 0308-8146
    ISSN (online) 1873-7072
    ISSN 0308-8146
    DOI 10.1016/j.foodchem.2017.03.054
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: Hierarchical Co₉S₈@Carbon Hollow Microspheres as an Anode for Sodium Ion Batteries with Ultralong Cycling Stability

    Yin, Mengmeng / Xueting Feng / Dan Zhao / Yun Zhao / Hansheng Li / Wei Zhou / Hongbo Liu / Xiaoping Bai / Hongxia Wang / Caihong Feng / Qingze Jiao

    ACS sustainable chemistry & engineering. 2019 Feb. 17, v. 7, no. 6

    2019  

    Abstract: Herein, hierarchical Co₉S₈@carbon hollow microspheres (Co₉S₈@CHSs) were designed and facilely prepared via a simple solvothermal approach, following a thermal treatment process. The surfaces of the hierarchical Co₉S₈ hollow microspheres are homogeneously ...

    Abstract Herein, hierarchical Co₉S₈@carbon hollow microspheres (Co₉S₈@CHSs) were designed and facilely prepared via a simple solvothermal approach, following a thermal treatment process. The surfaces of the hierarchical Co₉S₈ hollow microspheres are homogeneously coated by a fluffy ultrathin carbon layer, which not only acts as a buffer material to suppress pulverization but also serves as a conductive matrix to boost charge transfer. Leveraging the advantage of the fascinating hierarchical structure and the synergistic effect with carbon layers, they show impressive electrochemical properties. They deliver a large sodium storage capacity of 492 mAh g–¹ after 100 cycles at a current density of 0.5 A g–¹ and excellent rate performance. Additionally, a high capacity of 223 mAh g–¹ is maintained, even after 10 000 cycles at 5 A g–¹, demonstrating prolonged cycle stability. The remarkable sodium storage performance expects a future application for sodium ion batteries.
    Keywords anodes ; batteries ; carbon ; electrochemistry ; heat treatment ; microparticles ; sodium
    Language English
    Dates of publication 2019-0217
    Size p. 6122-6130.
    Publishing place American Chemical Society
    Document type Article
    ISSN 2168-0485
    DOI 10.1021/acssuschemeng.8b06345
    Database NAL-Catalogue (AGRICOLA)

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