Wood Science and Technology最新文献

{"title":"Elemental synergy strategies for wood flame retardancy: from mechanisms to multicomponent systems","authors":"Rongjie Zeng,&nbsp;Wenqing Xiao,&nbsp;Guijun Xie,&nbsp;Qiaoguang Li","doi":"10.1007/s00226-026-01816-0","DOIUrl":"10.1007/s00226-026-01816-0","url":null,"abstract":"<div><p>The inherent flammability of wood constrains its application in scenarios demanding high safety standards. Conventional single-element flame-retardant strategies struggle to reconcile flame-retardant efficiency, smoke suppression, and durability, which has driven a paradigm shift toward multi-element synergistic design. Framed around flame-retardant element combinations, this review systematically examines the key mechanisms by which P, N, Si, B, S, and metals/inorganics function in both the condensed and gas phases, with particular emphasis on the construction strategies of binary and multi-element synergistic systems, including P–N, P–Si, and P–metal. The review demonstrates that the P–N binary system, relying on the acid-source/gas-source synergistic mechanism, currently represents the most widely applied and most efficient foundational strategy. The incorporation of a third component, such as metal, Si, or B, can compensate for the inherent deficiencies of binary systems, namely the susceptibility of the char layer to oxidation and insufficient smoke suppression, thereby enabling multi-functional integration. Finally, the design principles of multi-element synergistic systems are summarized, and future research directions are outlined, including green bio-based feedstocks, low-cost processing, durability, and validation under realistic fire scenarios, aiming to provide a theoretical reference for the development of next-generation high-performance, environmentally friendly flame-retardant wood.</p></div>","PeriodicalId":810,"journal":{"name":"Wood Science and Technology","volume":"60 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149189931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biogenic silver and iron oxide nanoparticles from beech steaming condensate for antimicrobial activity and methylene blue removal","authors":"Rahime Dündar,&nbsp;Osman Akmeşe,&nbsp;Hüseyin Sivrikaya,&nbsp;Bill Jaures Chimi,&nbsp;Cemalettin Baltacı","doi":"10.1007/s00226-026-01814-2","DOIUrl":"10.1007/s00226-026-01814-2","url":null,"abstract":"<div><p>This study reports a biogenic and eco-friendly approach for the synthesis of silver (BSCAgNPs) and iron oxide nanoparticles (BSCFeNPs) using Oriental beech (<i>Fagus orientalis</i> L.) steaming condensate (BSC) as a dual reducing and stabilizing matrix, enabling the valorization of an underutilized wood-industry by-product. Transmission electron microscopy revealed distinct nanostructures, with BSCAgNPs ranging from 11 to 38 nm and highly uniform ultrasmall BSCFeNPs of 3 to 6 nm, while Fourier transform infrared spectroscopy (FTIR) and EDX analyses revealed changes in BSC-derived functional groups associated with NP formation, while EDX confirmed the elemental presence of Ag and Fe in the respective samples (Ag 60.26% and Fe 68.12%). Relative to the raw condensate, NP formation resulted in a marked enhancement of functional performance, reflecting effective surface functionalization by bioactive constituents. BSCAgNPs exhibited pronounced antimicrobial activity, particularly against Gram-negative bacteria, with minimum inhibitory concentration (MIC) values as low as 0.04 mg/mL for <i>Escherichia coli</i> and <i>Bacillus cereus</i>, supporting their potential relevance to biodeterioration control. In parallel, both NP systems demonstrated efficient removal of methylene blue from aqueous media, with both PFO and PSO models providing good empirical descriptions of the kinetic data and the PSO model showing a slightly better fit (R² &gt; 0.99), with Langmuir-derived Qmax estimates of 84.4 mg/g for BSCAgNPs and 55.4 mg/g for BSCFeNPs at the lowest tested adsorbent dosage of 1 mg/mL. The functional differences observed after NP formation were accompanied by changes in redox-related properties and surface-associated functional groups. Overall, these findings demonstrate that beech wood steaming condensate can be transformed into a functional biogenic nanoplatform that combines antimicrobial efficacy with dye-removal capability, providing a sustainable proof-of-concept platform with potential relevance to biodeterioration control and environmental remediation.</p></div>","PeriodicalId":810,"journal":{"name":"Wood Science and Technology","volume":"60 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149189941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Explainable deep learning for predicting lignin removal efficiency in deep eutectic solvent-based biomass fractionation","authors":"Diksha Garg,&nbsp;Sumit Bansal,&nbsp;Saroj Bala,&nbsp;Tavisha Singh","doi":"10.1007/s00226-026-01813-3","DOIUrl":"10.1007/s00226-026-01813-3","url":null,"abstract":"<div><p>Lignocellulosic biomass is an abundant renewable resource with significant potential for sustainable biofuel and biorefinery applications. Efficient lignin removal is a critical step in biomass valorization because it improves cellulose accessibility and enhances downstream conversion efficiency. Recently, deep eutectic solvents (DES) have emerged as promising green solvents for biomass pretreatment due to their biodegradability, low toxicity, tunable properties, and environmentally friendly nature. However, the efficiency of DES-based lignin extraction is governed by complex nonlinear interactions among the solvent composition, biomass characteristics, and pretreatment conditions, making process optimization challenging. In this study, a deep learning–driven framework is proposed to accurately predict lignin removal efficiency and elucidate the underlying mechanisms of DES-based biomass fractionation. A comprehensive dataset comprising 509 experimental conditions was compiled, incorporating biomass composition, DES properties, and pretreatment parameters. A deep neural network (DNN) model was developed using PyTorch and optimized <i>via</i> the Optuna framework to capture nonlinear relationships and interaction effects. The proposed model achieved strong predictive performance on an independent test set dataset, with R² = 0.86 ± 0.01, RMSE = 6.0 ± 0.2, and MAE = 4.8 ± 0.2, demonstrating high accuracy and generalizability. To enhance interpretability, SHapley Additive exPlanations (SHAP) were employed to quantify feature contributions. The analysis revealed that the hydrogen bond donor acidity/basicity (HBD-pKa/pKb) is the most influential factor, while interaction features such as LSR × LogR₀ and the HBD/HBA ratio × LogR₀ significantly influence lignin removal efficiency. These findings highlight that lignin extraction is governed primarily by interaction-driven mechanisms rather than isolated variables. Compared with conventional tree-based models, the proposed DNN framework more effectively captures higher-order dependencies and provides deeper mechanistic insights. Overall, this study demonstrates the potential of integrating deep learning with explainable AI for the rational design and optimization of DES systems. The findings can support the development of efficient and sustainable biomass pretreatment strategies for future biorefinery applications.</p></div>","PeriodicalId":810,"journal":{"name":"Wood Science and Technology","volume":"60 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149189061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to: Strong–weak acid modulation for constructing F modified mesoporous UiO-66-F4 in hierarchically porous carbonized wood for efficient CO2 capture","authors":"Changzhu Huang,&nbsp;Yaqin Zhu,&nbsp;Yilong Luo,&nbsp;Bin He,&nbsp;Yunfei Wu,&nbsp;Chunmei Zhang,&nbsp;Gaigai Duan,&nbsp;Xiaoshuai Han,&nbsp;Rongfei Zhou,&nbsp;Shuijian He,&nbsp;Shaohua Jiang","doi":"10.1007/s00226-026-01805-3","DOIUrl":"10.1007/s00226-026-01805-3","url":null,"abstract":"","PeriodicalId":810,"journal":{"name":"Wood Science and Technology","volume":"60 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic headspace extraction combined with thermal desorption and gas chromatography-olfactometry as a suitable tool for the investigation of odor profiles from wood by aroma extract dilution analysis for the creation of a database of wood odors","authors":"Valentin Schierer,&nbsp;Erwin Rosenberg,&nbsp;Cornelia Rieder-Gradinger","doi":"10.1007/s00226-026-01811-5","DOIUrl":"10.1007/s00226-026-01811-5","url":null,"abstract":"<div><p>Odorous volatile organic compound (OVOC) emissions from wood materials can significantly impact air quality in indoor environments which in turn can influence human health and wellbeing. Increasing use of resin-rich softwoods, such as pine, for the purpose of furniture or indoor panel construction therefore brings challenges of odor management, and the need to understand and archive odorant activity across wood types and materials. Dynamic headspace extraction thermal desorption-gas chromatography-olfactometry (DHS-TD-GC-O) in combination with aroma extract dilution analysis (AEDA) was used for the determination of odorant activity expressed as flavor dilution factor (FD factor) from three different types of softwood (<i>Pinus sylvestris</i> L., <i>Pinus strobus</i> L. and <i>Pinus cembra</i> L.). In combination with flame ionization detection (GC-FID) and mass spectrometry (GC-MS) analysis it was possible to identify over 25 individual odor compounds. By DHS-TD-GC-O 40 individual odor impressions could be reported. By variation of the split ratio, it was possible for the first time to obtain FD factors via the use of thermal desorption, spanning a wide range of 6 to 3072. Octanal, with a factor of 3072 and 2-nonenal with 1536, along with (E, Z)-2,6-nonadienal, 1-octen-3-on, α-pinene and hexanal with 768 were found to possess the highest odor activities for the <i>Pinus sylvestris</i> L. sample. Additionally, a panel of 20 testers revealed sensory profiles in good accordance with the findings by DHS-TD-GC-O, describing a musty-type aroma for <i>Pinus sylvestris</i> L. These findings demonstrate the usefulness of combining DHS-TD with GC-O for the quantitative detection of odorants and efficient determination of their FD factors by aroma extract dilution analysis (AEDA). This represents a big initial step towards the standardization of odor descriptors and FD factors assessment for the creation of a database for softwood odors.</p></div>","PeriodicalId":810,"journal":{"name":"Wood Science and Technology","volume":"60 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00226-026-01811-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal variation and structural maturation of bamboo fiber assemblies: explaining post-height growth elongation through dissociation analysis","authors":"Changlai Liu,&nbsp;Fanfan He,&nbsp;Mengxiao Wang,&nbsp;Jianjun Zhang,&nbsp;Long Tong,&nbsp;Liang Yuan,&nbsp;Guohua Liu","doi":"10.1007/s00226-026-01806-2","DOIUrl":"10.1007/s00226-026-01806-2","url":null,"abstract":"<div><p>The apparent increase in bamboo fiber length after culm height growth has ceased remains unresolved. Using a 600-culm population baseline, representative Bambusa rigida culms and the 11th internode were selected by Gaussian modeling. Manual microscopy, high-throughput Fiber Quality Analysis (FQA), an L25(5³) orthogonal maceration experiment, and chemical and elemental analyses were integrated to distinguish maturation from dissociation-related measurement effects. Fiber proportion peaked in the middle culm, whereas measured fiber length was greatest in the outer culm wall. From 1 to 3 years, measured fiber length increased from 1593.24 to 1754.12 μm, wall thickness from 2.76 to 4.58 μm, and the Runkel ratio from 3.66 to 9.54. Vascular-bundle cap enlargement and compound middle lamella densification accompanied these changes. Among the tested maceration factors, the H₂O₂:HAc volume ratio contributed most strongly to the principal FQA responses. Across matched L25 treatments, 3-year-old material retained longer and coarser FQA-detected objects, produced fewer fines, and showed lower mean broken-end rates than 1-year-old material, consistent with greater resistance to fragmentation under the tested conditions. With increasing culm age, lignin content rose from 22.15% to 27.51%, while Ca and Si accumulation was associated with wall-thickening traits. RDA summarized elemental–structural associations, with the first two axes explaining 75.51% of standardized trait variance. Convergent anatomical, chemical, elemental, and maceration-sensitivity evidence supports the Aggregation/Adhesion Hypothesis: apparent age-dependent lengthening may largely reflect maturation-associated structural integration and greater fiber retention during dissociation rather than continued elongation. This framework advances understanding of bamboo fiber maturation and supports age- and position-informed utilization.</p></div>","PeriodicalId":810,"journal":{"name":"Wood Science and Technology","volume":"60 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study of a copper-lignin with laccase-mediated polymerization treatment for wood preservation: determination of durability in marine environment using novel technologies","authors":"Cristian Bolaño Losada,&nbsp;Carmen Fernández-Costas,&nbsp;Diego Moldes","doi":"10.1007/s00226-026-01808-0","DOIUrl":"10.1007/s00226-026-01808-0","url":null,"abstract":"<div><p>Wood durability in marine environments is significantly compromised by harsh conditions and the presence of marine xylophages. Biocide treatments are often employed to extend service life, however, its leaching into the environment has driven the development of alternative treatments due to environmental concerns. This study evaluates a treatment for Scots pine based on copper and Kraft lignin, polymerized via laccase enzyme. In this treatment, Kraft lignin was intended to work as copper adsorbent, while laccase-assisted polymerization ensures fixation onto the wood. In order to distinguish the contribution of each component, a set of samples was prepared with different combinations of the three components, including untreated controls. Wood samples were immersed for one year in the Vigo estuary (NW Spain). Biofouling coverage was monitored throughout the immersion period, and the final accumulated biomass was measured. Marine xylophage attack was quantitatively evaluated using X-ray computerized tomography (CT). Copper retention and spatial distribution were analyzed by ICP-OES and XRF, respectively. Cooper-based treatments reduced biofouling and limited attack by marine xylophages. However, the inclusion of Kraft lignin restricted the impregnation depth, resulting in a lower copper content compared to the samples containing only copper. Nonetheless, XRF analysis showed better copper retention in the areas where Kraft lignin was highly present. Also, the reduced penetrability of lignin solution limited the assessment of the role of laccase in lignin polymerization. Additionally, a set of novel technologies for the study of wood in marine environments was integrated in this study. These included X-ray CT and the Itrax Core Scanner, a device that allows the acquisition of high-quality images, energy dispersive X-ray fluorescence and X-ray radiography.</p></div>","PeriodicalId":810,"journal":{"name":"Wood Science and Technology","volume":"60 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00226-026-01808-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149133152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of moisture gradients and time scales in wood mechanosorption","authors":"Júlio O. Amando de Barros,&nbsp;Falk K. Wittel","doi":"10.1007/s00226-026-01802-6","DOIUrl":"10.1007/s00226-026-01802-6","url":null,"abstract":"<div><p>The mechanical behavior of wood has been widely investigated, but its deformation under combined load and moisture changes remains difficult to describe and predict. The resulting deformation cannot be described by the simple superposition of the individual effects, a phenomenon known as mechanosorption. While mechanosorption is generally attributed to the structural complexity of wood and the rearrangement of hydrogen bonds, key aspects of this phenomenon, including the interplay between viscoelastic and diffusive time scales and the role of internal moisture gradients, remain debated. To address these open questions, a Diffusion-Dependent Stick–Slip Fiber Bundle Model is proposed that couples moisture transport with a mechanical description of deformation mechanisms in hygroresponsive materials. The competition between viscoelastic and diffusion time scales is analyzed through dimensionless numbers across cyclic moisture periods. The results show that longer moisture cycles lead to higher cyclic strain amplitudes, which result in greater mechanosorptive strains. Simulations with and without moisture gradients presented only minor differences in global strain. While gradients induce higher hygromechanical stresses and increased damage, their influence on the overall bundle response is mitigated by the coexistence of tension and compression zones. Finally, surrogate-model-assisted fitting to experimental data showed good agreement with consecutive mechanosorptive and constant-moisture viscoelastic responses. In addition, the results show that mechanosorptive behavior varies significantly across different combinations of mechanical-response parameters, providing insight into the origin of the distinct mechanosorption magnitudes observed in different wood anatomical directions.</p></div>","PeriodicalId":810,"journal":{"name":"Wood Science and Technology","volume":"60 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00226-026-01802-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149035088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deciphering wood pyrolysis dynamics: SHAP-enhanced machine learning models for biochar optimisation","authors":"Günay Özbay,&nbsp;Fatma Pinar Goksal","doi":"10.1007/s00226-026-01809-z","DOIUrl":"10.1007/s00226-026-01809-z","url":null,"abstract":"<div><p>Biochar derived from biomass pyrolysis is an essential resource for carbon sequestration and renewable energy generation, but the complex, nonlinear relationships between feedstock biochemistry and operational variables often hinder the efficiency of conventional experimental methods. This study aims to investigate the thermochemical dynamics of wood pyrolysis using a high-fidelity “Digital Twin” framework integrating Artificial Neural Networks (ANNs) and SHapley Additive exPlanations (SHAP). Based on primary experimental data from <i>Pinus sylvestris</i> L. and <i>Fagus orientalis</i> Lipsky, a Multilayer Perceptron (MLP) model was developed with remarkable prediction accuracy for biochar yield (R² = 0.987) and carbon content (R² = 0.991). In addition to the statistical results, SHAP analysis was also used to interpret the model’s “black box” logic in a mechanistic manner. As demonstrated, while pyrolysis temperature is the most important factor in reducing yield due to the volatile phase transition, lignin content contributes to a structural resistance mechanism that stabilises the carbon skeleton, particularly during intense thermal decomposition at approximately 500 °C. These findings, corroborated with recent literature (2022–2025), indicate that the ANN-SHAP coupling is a suitable compromise between machine learning and chemical kinetics. The paper presents a scalable, explainable AI pathway for evaluating compositional and operational interactions in woody biomass pyrolysis.</p></div>","PeriodicalId":810,"journal":{"name":"Wood Science and Technology","volume":"60 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149034923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On thermal diffusivity anisotropy of dry and wet woods","authors":"A. Bedoya,&nbsp;E. Marín","doi":"10.1007/s00226-026-01810-6","DOIUrl":"10.1007/s00226-026-01810-6","url":null,"abstract":"<div><p>Wood is hygroscopic, taking on moisture from the surrounding environment. Therefore, moisture content is one of the most important properties of wood. Knowing the thermal properties of wood as a function of moisture content is important for understanding how this material insulates, dries, and behaves when it is exposed to fire or during industrial processing. Here, we use laser spot lock-in thermography (LS-LIT) to measure the anisotropy in planar thermal diffusivity (<i>D</i>) of wood samples. It is well known that LS-LIT yields the correct values of <i>D</i> only along the directions of the principal axes of the sample, while the resistivity to heat diffusion (<i>r</i> = 1/<i>D</i>) is the recovered parameter along any other spatial direction. The difference between <i>D</i> and 1/<i>r</i> as a function of angular orientation is here defined as the excess curve of thermal diffusivities. We study how these parameters change for wet and air-dry samples of low- and high- density wood species, such as balsa (<i>Ochroma pyramidale</i>) and cocobolo (<i>Dalbergia retusa</i>), respectively.</p></div>","PeriodicalId":810,"journal":{"name":"Wood Science and Technology","volume":"60 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149034720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}