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  1. Article ; Online: Recycling and Degradation of Polyamides.

    Zheng, Lin / Wang, Mengjin / Li, Yaoqin / Xiong, Yan / Wu, Chonggang

    Molecules (Basel, Switzerland)

    2024  Volume 29, Issue 8

    Abstract: As one of the five major engineering plastics, polyamide brings many benefits to humans in the fields of transportation, clothing, entertainment, health, and more. However, as the production of polyamide increases year by year, the pollution problems it ... ...

    Abstract As one of the five major engineering plastics, polyamide brings many benefits to humans in the fields of transportation, clothing, entertainment, health, and more. However, as the production of polyamide increases year by year, the pollution problems it causes are becoming increasingly severe. This article reviews the current recycling and treatment processes of polyamide, such as chemical, mechanical, and energy recovery, and degradation methods such as thermal oxidation, photooxidation, enzyme degradation, etc. Starting from the synthesis mechanism of polyamide, it discusses the advantages and disadvantages of different treatment methods of polyamide to obtain more environmentally friendly and economical treatment schemes. Finding enzymes that can degrade high-molecular-weight polyamides, exploring the recovery of polyamides under mild conditions, synthesizing environmentally degradable polyamides through copolymerization or molecular design, and finally preparing degradable bio-based polyamides may be the destination of polyamide.
    Language English
    Publishing date 2024-04-11
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules29081742
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.MO 81: Show issues

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  2. Article ; Online: Aboveground Biomass Retrieval in Tropical and Boreal Forests Using L-Band Airborne Polarimetric Observations

    Wang, Mengjin / Zhang, Wangfei / Ji, Yongjie / Marino, Armando / Xu, Kunpeng / Zhao, Lei / Shi, Jianmin / Zhao, Han

    Forests. 2023 Apr. 26, v. 14, no. 5

    2023  

    Abstract: Forests play a crucial part in regulating global climate change since their aboveground biomass (AGB) relates to the carbon cycle, and its changes affect the main carbon pools. At present, the most suitable available SAR data for wall-to-wall forest AGB ... ...

    Abstract Forests play a crucial part in regulating global climate change since their aboveground biomass (AGB) relates to the carbon cycle, and its changes affect the main carbon pools. At present, the most suitable available SAR data for wall-to-wall forest AGB estimation are exploiting an L-band polarimetric SAR. However, the saturation issues were reported for AGB estimation using L-band backscatter coefficients. Saturation varies depending on forest structure. Polarimetric information has the capability to identify different aspects of forest structure and therefore shows great potential for reducing saturation issues and improving estimation accuracy. In this study, 121 polarimetric decomposition observations, 10 polarimetric backscatter coefficients and their derived observations, and six texture features were extracted and applied for forest AGB estimation in a tropical forest and a boreal forest. A parametric feature optimization inversion model (Multiple linear stepwise regression, MSLR) and a nonparametric feature optimization inversion model (fast iterative procedure integrated into a K-nearest neighbor nonparameter algorithm, KNNFIFS) were used for polarimetric features optimization and forest AGB inversion. The results demonstrated the great potential of L-band polarimetric features for forest AGB estimation. KNNFIFS performed better both in tropical (R² = 0.80, RMSE = 22.55 Mg/ha, rRMSE = 14.59%, MA%E = 12.21%) and boreal (R² = 0.74, RMSE = 19.82 Mg/ha, rRMSE = 20.86%, MA%E = 20.19%) forests. Non-model-based polarimetric features performed better compared to features extracted by backscatter coefficients, model-based decompositions, and texture. Polarimetric observations also revealed site-dependent performances.
    Keywords aboveground biomass ; algorithms ; boreal forests ; carbon ; carbon cycle ; climate change ; models ; polarimetry ; texture ; tropical forests
    Language English
    Dates of publication 2023-0426
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article ; Online
    ZDB-ID 2527081-3
    ISSN 1999-4907
    ISSN 1999-4907
    DOI 10.3390/f14050887
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Forest total and component biomass retrieval via GA-SVR algorithm and quad-polarimetric SAR data

    Shi, Jianmin / Zhang, Wangfei / Marino, Armando / Zeng, Peng / Ji, Yongjie / Zhao, Han / Huang, Guoran / Wang, Mengjin

    International Journal of Applied Earth Observation and Geoinformation. 2023 Apr., v. 118 p.103275-

    2023  

    Abstract: A reliable evaluation of biomass is a vital prerequisite for realizing the international goal of "emission peak and carbon neutrality". It is critical to estimate the components of forest biomass, for ecosystem management. Additionally, working on ... ...

    Abstract A reliable evaluation of biomass is a vital prerequisite for realizing the international goal of "emission peak and carbon neutrality". It is critical to estimate the components of forest biomass, for ecosystem management. Additionally, working on components we may solve the saturation problems in AGB estimation using remote sensing features. In our previous works we proposed GA-SVR (Genetic algorithms and support vector regression) algorithm with polarimetric SAR (Synthetic Aperture Rader) to retrieve total forest Above Ground Biomass (AGB) estimation in our previous works, however, the potential of GA-SVR algorithm applied in component AGB estimation especially using combination of multi-frequency polarimetric SAR features deserves further exploration. In this study, we use quad-polarimetric SAR data at C- and L- bands, extracting the backscatter coefficients and polarimetric features derived from four polarization decomposition methods (Yamaguchi 3-component decomposition, Freeman 2-component decomposition, H/A/alpha decomposition, and TSVM decomposition) as the input to the GA-SVR for forest component AGB estimation. The effectiveness of 66 polarimetric features derived from C-, L-band at each test site was evaluated for forest component AGB prediction at two test sites. The outcomes demonstrated that the GA-SVR attained high estimation accuracy according to the values of coefficient of determination R², root mean square error, relative root mean square error, mean deviation, mean absolute deviation, mean percentage error, and mean absolute percentage error. The highest attained values of them were 0.77, 1.01 Mg/ha, 23.02%, −0.07 Mg/ha, 0.71 Mg/ha, 0.15%, and 18.42%, respectively. The study reconfirmed the robustness of GA-SVR algorithm and effectiveness of polarimetric SAR features extracted from four decomposition methods for forest total and AGB estimation. It also revealed that the capability of combining C- band L-band SAR polarimetric features for improving forest total and component AGB relies on the difference of forest structures.
    Keywords aboveground biomass ; algorithms ; carbon ; ecosystem management ; forests ; polarimetry ; prediction ; regression analysis ; spatial data ; GA-SVR ; Forest total and component AGB ; Wavelength ; Polarimetric SAR
    Language English
    Dates of publication 2023-04
    Publishing place Elsevier B.V.
    Document type Article ; Online
    Note Use and reproduction
    ISSN 1569-8432
    DOI 10.1016/j.jag.2023.103275
    Database NAL-Catalogue (AGRICOLA)

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  4. Article ; Online: Kilogram-Scale Fabrication of a Robust Olefin-Linked Covalent Organic Framework for Separating Ethylene from a Ternary C

    Wang, Zhifang / Zhang, Yushu / Lin, En / Geng, Shubo / Wang, Mengjin / Liu, Jinjin / Chen, Yao / Cheng, Peng / Zhang, Zhenjie

    Journal of the American Chemical Society

    2023  Volume 145, Issue 39, Page(s) 21483–21490

    Abstract: One-step adsorptive purification of ethylene ( ... ...

    Abstract One-step adsorptive purification of ethylene (C
    Language English
    Publishing date 2023-09-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3155-0
    ISSN 1520-5126 ; 0002-7863
    ISSN (online) 1520-5126
    ISSN 0002-7863
    DOI 10.1021/jacs.3c07224
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Genetic diversity and population structure of Polygonatum cyrtonema Hua in China using SSR markers.

    Liu, Heng / Cheng, He / Xu, Jun / Hu, Jiayi / Zhao, Chenchen / Xing, Lihua / Wang, Mengjin / Wu, Zhendong / Peng, Daiyin / Yu, Nianjun / Liu, Junling

    PloS one

    2023  Volume 18, Issue 8, Page(s) e0290605

    Abstract: Polygonatum cyrtonema Hua is a perennial herbaceous plant of the Polygonatum genus, belonging to the Liliaceae family, with significant medicinal and nutritional value. In China, this species is a traditional medicinal and edible herb with a long history ...

    Abstract Polygonatum cyrtonema Hua is a perennial herbaceous plant of the Polygonatum genus, belonging to the Liliaceae family, with significant medicinal and nutritional value. In China, this species is a traditional medicinal and edible herb with a long history of application and is widely appreciated by the people. However, as the demand for medicinal herbs continues to grow, excessive harvesting has led to the depletion of wild resources and the risk of genetic erosion. In addition, the chaotic cultivation of varieties and the lack of high quality germplasm resources have led to inconsistent quality of medical materials. Therefore, it is urgent to conduct genetic diversity evaluation of this species and establish a sound conservation plan. This study assessed the genetic diversity and population structure of 96 samples collected from seven regions in China using the simple sequence repeat (SSR) molecular marker technology. In this study, a total of 60 alleles (Na) were detected across the 10 polymorphic SSR markers used, with an average of 6.0 alleles generated per locus. The values of polymorphic information content (PIC) values ranged from 0.3396 to 0.8794, with an average value of 0.6430. The average value of the effective number of alleles (Ne) was 2.761, and the average value of the Shannon's information index (I) was 1.196. The population structure analysis indicates that the Polygonatum cyrtonema Hua germplasm can be classified into three subpopulations (JZ, QY, JD) at the molecular level, which corresponds to the previous subgroups identified based on individual plant phenotypic traits. Analysis of Molecular Variance (AMOVA) showed that 74% of the genetic variation was between individuals within populations in different regions. The phylogenetic analysis of the 96 germplasm samples divided them into three main populations. The QY and JD subpopulations are largely clustered together, which could be attributed to their mountainous distribution and the local climate environment. The genetic differentiation coefficient (Fst) value was low at 0.065, indicating relatively low population differentiation. The ratio of the genetic differentiation coefficient (Fst) between the JZ population and the other two populations (QY and JD) is much higher than the ratio between the QY and JD populations. Based on the clustering results and the ratio of the genetic differentiation coefficient (Fst), it can be inferred that the genetic relationship between the QY and JD subpopulations is closer, with a certain degree of genetic differentiation from the JZ subpopulation. This study supports the conservation of germplasm resources of Polygonatum cyrtonema Hua in China and provides new parental material for germplasm genetic improvement and breeding programs.
    MeSH term(s) Humans ; Polygonatum/genetics ; Phylogeny ; Plant Breeding ; China ; Microsatellite Repeats/genetics ; Genetic Variation
    Language English
    Publishing date 2023-08-31
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0290605
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  6. Article ; Online: Phase Transition, Dielectrics, Single-Ion Conductance, and Thermochromic Luminescence of a Inorganic-Organic Hybrid of [Triethylpropylammonium][PbI

    Wang, Meng-Jin / Chen, Xuan-Rong / Tong, Yuan-Bo / Yuan, Guo-Jun / Ren, Xiao-Ming / Liu, Jian-Lan

    Inorganic chemistry

    2017  Volume 56, Issue 16, Page(s) 9525–9534

    Abstract: In this study, we used the facile solvent evaporation method to achieve the inorganic-organic hybrid crystals of [triethylpropylammonium][ ... ...

    Abstract In this study, we used the facile solvent evaporation method to achieve the inorganic-organic hybrid crystals of [triethylpropylammonium][PbI
    Language English
    Publishing date 2017-08-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1484438-2
    ISSN 1520-510X ; 0020-1669
    ISSN (online) 1520-510X
    ISSN 0020-1669
    DOI 10.1021/acs.inorgchem.7b00881
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Optimization of Conditions for Collagen Extraction from the Swim Bladders of Grass Carp (Ctenopharyngodon idella) by Response Surface Methodology

    Zhang, Bao / Chen, Yunzhong / Wei, Xuefei / Li, Mingqi / Wang, Mengjin

    International journal of food engineering

    Volume v. 6,, Issue no. 3

    Abstract: The effects of liquid-solid ratio, acetic acid concentration and extraction time on the yield of acid-soluble collagen(ASC) from the swim bladders of grass carp were optimized by statistical analysis using response surface methodology. The response ... ...

    Abstract The effects of liquid-solid ratio, acetic acid concentration and extraction time on the yield of acid-soluble collagen(ASC) from the swim bladders of grass carp were optimized by statistical analysis using response surface methodology. The response surface methodology (RSM) was used to optimize the yield of ASC by implementing the Box-Wilson design. Statistical analysis of the results showed that the linear and quadric terms of these three variables had significant effects. However, no interactions between the three variables were found to contribute to the response at a significant level. The optimal conditions for higher yield of ASC were a liquid-solid ratio of 17.85, an acetic-acid concentration of 0.54 M and a time of 34 h. Under these conditions, the model predicted an ASC yield of 8.39%. Verification of the optimization showed that an ASC yield of 8.21±0.15% was observed under the optimal conditions. The experimental values agreed with the predicted values, using analysis of variance, indicating an excellent fit of the model used and the success of response surface methodology for modeling extraction of ASC from the swim bladders of grass carp.
    Keywords models ; Ctenopharyngodon idella ; acetic acid ; collagen ; analysis of variance ; response surface methodology
    Language English
    Document type Article
    ISSN 1556-3758
    Database AGRIS - International Information System for the Agricultural Sciences and Technology

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