Chemical Engineering and Processing - Process Intensification最新文献

{"title":"Design and numerical investigations of mixing enhancement for single-layer SAR micromixer with localized offsets and slots","authors":"Priya Ranjan ,&nbsp;Basanta Kumar Rana ,&nbsp;Jitendra Kumar Patel","doi":"10.1016/j.cep.2025.110360","DOIUrl":"10.1016/j.cep.2025.110360","url":null,"abstract":"<div><div>The present work focuses on developing a single-layer separation and recombination <strong>(SAR)</strong> based micromixer to enhance the mixing process of two miscible fluids. As in recent findings, separation and recombination type micromixers demonstrate their outstanding mixing efficiency in diverse flow scenarios. An accurate and stable platform, OpenFOAM V21 is used to perform the numerical investigations. We propose the four noteworthy SAR-based micromixers, which are designed by integrating the offsets and slots in selected micromixers. The first micromixer is without offset and slots, while the offsets are provided in the second, and slots are integrated into the third variant. The final design comprises both offset and slots by superimposing the above mentioned micromixers. We critically analyze the flow physics in these micromixers by detailing the concentration contours, streamlines, and velocity vectors. The results indicate that the inclusion of the offset promotes the twisting flow, while slots are responsible for stretching and folding phenomena. We found micromixer with offsets and slots provides the highest mixing index than the other proposed designs. Furthermore, it achieves 99.99% mixing efficiency across a wide range of Reynolds numbers, including low values (<span><math><mrow><mi>R</mi><mi>e</mi><mo>≥</mo><mn>20</mn></mrow></math></span>), and we also provide data on pressure drop and mixing cost to facilitate optimal design selection. At last, the present obtained results are compared with the existing two-layer micromixers which are found to be on par or even superior for a wide range of Reynolds numbers.</div></div>","PeriodicalId":9929,"journal":{"name":"Chemical Engineering and Processing - Process Intensification","volume":"215 ","pages":"Article 110360"},"PeriodicalIF":3.8,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prior knowledge-based multi-round multi-objective Bayesian optimization: continuous flow synthesis and scale-up of O-methylisourea","authors":"Jiapeng Guo ,&nbsp;Kejie Chai ,&nbsp;Guihua Luo ,&nbsp;Weike Su ,&nbsp;An Su","doi":"10.1016/j.cep.2025.110376","DOIUrl":"10.1016/j.cep.2025.110376","url":null,"abstract":"<div><div>Optimizing and scaling up chemical reactions is a critical step in transitioning from laboratory to industrial production, often involving trade-offs between multiple objectives such as production efficiency and cost. Meanwhile, the traditional synthesis process for the key pharmaceutical intermediate <em>O</em>-methylisourea no longer meets the demands of modern smart and green production, requiring urgent improvement. This study demonstrates the use of multi-objective Bayesian optimization (MOBO) for the continuous flow synthesis of <em>O</em>-methylisourea. By leveraging historical reaction data, we accelerated optimization as parameter ranges changed, enabling rapid inference and adjustment. Using a scaled-up continuous flow system equipped with MOBO and transfer learning capabilities, we identified optimal conditions along the Pareto front, achieving a production rate of up to 52.2 g/h and an E-factor as low as 0.557 during the third round of optimization, while maintaining a yield of approximately 75 %. These results highlight the scalability and efficiency of Bayesian optimization in accelerating reaction optimization and facilitating the transition from laboratory to industrial-scale production.</div></div>","PeriodicalId":9929,"journal":{"name":"Chemical Engineering and Processing - Process Intensification","volume":"215 ","pages":"Article 110376"},"PeriodicalIF":3.8,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Bayesian optimization approach for stochastic data-driven Petlyuk distillation columns design","authors":"Alexander Panales-Pérez ,&nbsp;Antonio Flores-Tlacuahuac ,&nbsp;Luis Fabián Fuentes-Cortés ,&nbsp;Miguel Angel Gutierrez-Limon ,&nbsp;Mauricio Sales-Cruz","doi":"10.1016/j.cep.2025.110349","DOIUrl":"10.1016/j.cep.2025.110349","url":null,"abstract":"<div><div>In recent years, the drive to enhance process efficiency and reduce energy consumption has spurred interest in alternative systems, such as Petlyuk distillation columns. These systems have been demonstrated to achieve significant energy and cost savings compared to conventional distillation columns. Consequently, from an economic standpoint, the feasibility of a process is not solely defined by achieving high-purity products. Instead, achieving a balance between product purity and cost requires a multi-objective optimization approach. While traditional optimization methods are effective, emerging strategies such as Bayesian optimization offer distinct advantages for handling complex systems without requiring explicit mathematical models. Bayesian optimization can effectively handle the optimization process even when starting from a single initial point. However, as a black-box method, it demands careful examination of the impact of hyperparameters on the optimization process. This study explores two Petlyuk distillation columns as case studies, introducing a bi-level strategy for hyperparameter selection, including the acquisition function, kernel type, and the number of initial points. Furthermore, the influence of uncertainty in the Bayesian optimization process is explored, as this factor is critical in addressing real-world challenges. To simulate such conditions, the study incorporates scenarios designed to mimic the effects of uncertainty, providing valuable insights into its role in optimization outcomes.</div></div>","PeriodicalId":9929,"journal":{"name":"Chemical Engineering and Processing - Process Intensification","volume":"215 ","pages":"Article 110349"},"PeriodicalIF":3.8,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the performance of batch, tubular coiled and coil flow invertor reactors in biodiesel production from karanja and used cooking oil","authors":"Ajeet Kumar Prajapati,&nbsp;Amit Kumar Gomey,&nbsp;Deepak Dwivedi,&nbsp;Rakesh Kumar","doi":"10.1016/j.cep.2025.110375","DOIUrl":"10.1016/j.cep.2025.110375","url":null,"abstract":"<div><div>Current research evaluates the performance of three different contacting schemes: the batch reactor, tubular coiled reactor (TCR), and coiled flow inverter (CFI). Experiments utilized a 1.5 wt. % KOH catalyst with varying methanol/oil molar ratios in both batch and continuous reactors. The TCR and CFI were tested at a 9:1 methanol/oil molar ratio with flow rates ranging from 2–10 ml/min, using Karanja oil and Used Cooking Oil. Notably, the biodiesel produced in this study met the key fuel property requirements such as kinematic viscosity, density, flash point, and calorific value according to the American Society for Testing and Materials (ASTM) biodiesel standards. The highest biodiesel yield in the batch reactor was 90.63 % at 900 RPM. The continuous flow reactors achieved an 82.52 % yield in the TCR with a diameter of 1.65 mm and a length of 4 m, and a 92.6 % yield in the U-shaped CFI at a flow rate of 8 ml/min. Notably, the highest yield for Karanja oil and used cooking oil was observed in the CFI (U-shape) compared to the TCR, CFI (L-shape), and batch reactor. This study showed an improvement in biodiesel properties by using two-stage esterification-transesterification methods.</div></div>","PeriodicalId":9929,"journal":{"name":"Chemical Engineering and Processing - Process Intensification","volume":"215 ","pages":"Article 110375"},"PeriodicalIF":3.8,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interpretable and uncertainty-aware machine learning for trustworthy prediction in batch crystallization","authors":"Fernando Arrais R.D. Lima ,&nbsp;Marcellus G.F. de Moraes ,&nbsp;Carine Menezes Rebello ,&nbsp;Amaro G. Barreto Jr. ,&nbsp;Argimiro R. Secchi ,&nbsp;Maurício B. de Souza Jr. ,&nbsp;Idelfonso B.R. Nogueira","doi":"10.1016/j.cep.2025.110350","DOIUrl":"10.1016/j.cep.2025.110350","url":null,"abstract":"<div><div>Symbolic regression was applied to model the nucleation and crystal growth in potassium sulfate batch crystallization. A methodology combining multivariable analysis, symbolic regression, meta-heuristic optimization, and statistical analysis was developed and compared with an alternative neural network-based approach. Experimental data were used to identify models via symbolic regression for predicting the first four moments of the crystal size distribution (CSD) and to train neural networks for the same purpose. Both methods efficiently modeled the crystallization process, achieving similar mean squared error (MSE) values. Additionally, solute concentration predictions were successful. The models were tested on simulated batches with supersaturation conditions not present in the experimental dataset. Both approaches performed comparably to the population balance model (PBM). However, symbolic regression required fewer parameters than neural networks. Parameter estimation for symbolic regression was done using particle swarm optimization (PSO), and confidence regions were constructed via Fisher’s test, revealing ellipsoidal shapes for most variables. For the zero-order moment, reparameterization achieved well-defined confidence regions. Symbolic regression provided interpretable and generalizable models that describe key phenomena, such as nucleation and crystal growth, aligning with population balance theory. These models offer advantages for modeling, controlling, and optimizing crystallization processes over traditional ODE systems.</div></div>","PeriodicalId":9929,"journal":{"name":"Chemical Engineering and Processing - Process Intensification","volume":"215 ","pages":"Article 110350"},"PeriodicalIF":3.8,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental investigation on an efficient continuous liquid-solid separator with particle automatic recovery and anti-damage","authors":"Hongyan Liu ,&nbsp;Jia Su ,&nbsp;Hang Xiao ,&nbsp;Haidong Zhang ,&nbsp;Ping Li ,&nbsp;Qingshan Huang","doi":"10.1016/j.cep.2025.110367","DOIUrl":"10.1016/j.cep.2025.110367","url":null,"abstract":"<div><div>Traditional liquid-solid separation technology has significant limitations in regulating particle morphology, increasing particle size, and realizing perfusion process because of low solid content, insufficient handling capacity, poor separation accuracy, and discontinuity. Therefore, a continuous liquid-solid separator (CLSS) with circulation settlement, microporous filtration, solid recycling, and extraction separation is proposed to achieve in-situ liquid-solid separation for efficient and continuous reaction in the multiphase reactor. Three typical solid materials (<em>i.e.</em>, cathode material, aluminum hydroxide, and brown corundum) with different physical properties were employed to investigate the effects of operating parameters (<em>i.e.</em>, solid feeding concentration, clear liquid handling capacity, and running time) on the slurry flow regime and separation performance. It is found that the defined slurry circulation and separation performance are affected by the coupling of particle properties and operating parameters. The filter intercepts almost 100 % of solid particles, achieving particle recycling and increasing solid concentration. The particle recovery concentration of the separator can reach more than 3 times the feeding concentration, enriching particle concentration more than 50 wt.%. The beneficial supergravity separation is promoted as the particle size increases, decreasing the particle axial diffusion along the separation zone. The mechanisms of slurry directional flow and solid-liquid separation in the CLSS are revealed through force analysis, which enhances particle retention and separation performance. The CLSS can transform some intermittent reactions into continuous ones, reducing production costs and improving product quality and safety, shedding new light on upgrading various industries, such as biological fermentation, solid catalysis, and reaction crystallization.</div></div>","PeriodicalId":9929,"journal":{"name":"Chemical Engineering and Processing - Process Intensification","volume":"215 ","pages":"Article 110367"},"PeriodicalIF":3.8,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144098455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrified dehydrogenation of methyl-cyclohexane: reactor modeling and process integration","authors":"Luca Vergani,&nbsp;Matteo Ambrosetti,&nbsp;Gianpiero Groppi","doi":"10.1016/j.cep.2025.110368","DOIUrl":"10.1016/j.cep.2025.110368","url":null,"abstract":"<div><div>Liquid Organic Hydrogen Carriers (LOHC) have been proposed as hydrogen transport technology to overcome limitations related to its low volumetric density. However, the dehydrogenation step represents the technological bottleneck of the LOHC storage cycle. In this work, a process layout based on the adoption of an electrified packed foam reactor for the dehydrogenation of the LOHC pair Methyl-cyclohexane/Toluene (MCH/TOL) is reported for an intensified CO₂-free cycle. The effects on reactor performance of operating parameters such as Gas Hourly Space Velocity (GHSV), outlet pressure, and inlet temperature are studied. The proposed reactor reaches volumetric hydrogen productivity, expressed in terms of H₂ lower heating value of 3.18 <span><math><mrow><mi>k</mi><msub><mi>W</mi><mrow><msub><mi>H</mi><mn>2</mn></msub><mo>−</mo><mtext>LHV</mtext></mrow></msub><msubsup><mrow><mspace></mspace><mi>L</mi></mrow><mrow><mi>R</mi></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msubsup></mrow></math></span> with 95 % of MCH conversion, improving the results of intensified reactor configurations reported in the literature. The reactor is then integrated into a process layout considering a large-scale hydrogen refueling station as a case study, and process-related KPIs are calculated. The designed dehydrogenation process provides 1000 kg day^-1 of hydrogen, with a purity of 99.8 %, and a specific consumption of 13.46 <span><math><msubsup><mrow><mtext>kWh</mtext><mspace></mspace><mtext>kg</mtext></mrow><mrow><msub><mi>H</mi><mn>2</mn></msub></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msubsup></math></span> This work represents the first application of an electrified packed-foam reactor to LOHC dehydrogenation and its integration in process simulation. It also potentially represents the starting point for future optimization studies to assess the competitiveness of this hydrogen transport technology.</div></div>","PeriodicalId":9929,"journal":{"name":"Chemical Engineering and Processing - Process Intensification","volume":"215 ","pages":"Article 110368"},"PeriodicalIF":3.8,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Oily wastewater treatment via a visible-light-responsive slurry membrane photocatalytic reactor incorporating Bi2WO6-based photocatalysts","authors":"Mohammad Reza Akrami ,&nbsp;Zahra Sadeghian ,&nbsp;Seyed Nezameddin Ashrafizadeh","doi":"10.1016/j.cep.2025.110365","DOIUrl":"10.1016/j.cep.2025.110365","url":null,"abstract":"<div><div>This study focuses on the development and integration of Bi₂WO₆-based visible-light-responsive photocatalysts with a zirconia/alumina ultrafiltration membrane in a slurry photocatalytic ceramic membrane reactor (SPCMR) for oily wastewater treatment, highlighting the synergistic effect of combining photocatalysis with membrane separation. To this end, several visible-light-active photocatalysts, including NH₂-MIL-125(Ti)/Bi₂WO₆, WO₃/Bi₂WO₆, and Bi₂O₃/Bi₂WO₆, were synthesized via hydrothermal methods and characterized using X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and nitrogen adsorption–desorption analyses. The filtration performance of the system was evaluated under varying oil concentrations ranging from 1000 to 3000 ppm, at natural pH, with a photocatalyst dosage of 1 g/L over a 4-hour operational period. Removal efficiency was assessed based on total organic carbon (TOC) content. Results showed that membrane performance declined at higher concentrations (3000 ppm) due to surface fouling; however, this limitation was mitigated by incorporating the SPCMR system. TOC removal varied depending on parameters such as transmembrane pressure (TMP), flow rate, and light intensity. Among the tested photocatalysts, NH₂-MIL-125(Ti)/Bi₂WO₆ exhibited the highest efficiency, achieving up to 92% TOC removal. These findings highlight the potential of Bi₂WO₆-based composite photocatalysts in SPCMR systems as a promising approach for sustainable oily wastewater remediation.</div></div>","PeriodicalId":9929,"journal":{"name":"Chemical Engineering and Processing - Process Intensification","volume":"215 ","pages":"Article 110365"},"PeriodicalIF":3.8,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144098456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dilution and flocculation prediction of a pilot-scale thickener feedwell by hybrid modelling approach","authors":"Xiaoyu Wang ,&nbsp;Baoyu Cui ,&nbsp;Xuetao Wang ,&nbsp;Qiang Zhao ,&nbsp;Yiye Zhang ,&nbsp;Yunhai Zhang","doi":"10.1016/j.cep.2025.110364","DOIUrl":"10.1016/j.cep.2025.110364","url":null,"abstract":"<div><div>Dilution plays a significant role in the flocculation process, which relies on the structure and dimensions of the dilution port. The dilution port was optimized by the hybrid modelling approach between Response Surface Methodology (RSM) and Computational Fluid Dynamics (CFD), considering the interactive impact of sidewall immersion length (L), reference angle (α) to bending pipe, and width of the cuboid (W). Batch simulation tests were performed to explore the effect of structure and dimension on dilution quantity. A quadratic regression model forecasted the optimal feedwell would be capable of a self-diluting water volume of 1.53 L/s compared to the basic case of negative1.32 L/s, and the α was most sensitive factor that influence the dilution quantity. Subsequently, the flow characteristics and flocculation performance were compared between the two cases using the coupled CFD-Population Balance Model (PBM) approach. Results showed that the outer well was subdivided into four zones following the predicted variation of floc size along the vertical direction. The optimal case exhibited better flocculation performance than the basic case evaluated by the mean floc size distribution in and around the feedwell, thereby guiding the design of feedwell dilution ports for enhancing the flocculation performance.</div></div>","PeriodicalId":9929,"journal":{"name":"Chemical Engineering and Processing - Process Intensification","volume":"215 ","pages":"Article 110364"},"PeriodicalIF":3.8,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144115130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrochemical CO2 reduction from NH4HCO3 in ammonia-based carbon capture: Comparison of external and in-situ carbon sources","authors":"Huiyi Li ,&nbsp;Jianmin Gao ,&nbsp;Qian Du ,&nbsp;Yu Zhang ,&nbsp;Xin Guo ,&nbsp;Zhijiang Wang","doi":"10.1016/j.cep.2025.110361","DOIUrl":"10.1016/j.cep.2025.110361","url":null,"abstract":"<div><div>Combining ammonia-based carbon capture technology with electrocatalytic reduction powered by excess energy from power plants enables efficient use of captured carbon products while avoiding energy-intensive CO₂ release and compression process. Revealing the impact of <em>in-situ</em> carbon sources on reaction activity and product selectivity is crucial in the direct electrocatalytic reduction of ammonium bicarbonate (NH₄HCO₃). This study compares the reduction performance of <em>in-situ</em> and external carbon source systems via potentiostatic reduction on Ag-based electrodes in Ar- or CO₂-saturated bicarbonate electrolytes. We found that high NH₄HCO₃ concentrations in the <em>in-situ</em> system enhance CO₂ and intermediate adsorption on Ag-based catalysts, achieving CO production efficiencies comparable to external carbon sources, with a peak CO Faradaic efficiency of 62.2 % at −0.6 V and a current density of 9.84 mA·cm⁻² at −0.8 V. NH₄⁺ has a larger ionic radius, which increases local CO₂ concentration and proton availability, enhancing CO yield and catalytic efficiency over <em>K</em>⁺ in <em>in-situ</em> carbon source systems. It also promotes hydrogen evolution reactions (HER), enabling efficient syngas production via dual-reaction synergy. We hope these findings provide theoretical support and guidance for system control strategies in the ammonia-based carbon capture coupled with electrocatalytic conversion technology.</div></div>","PeriodicalId":9929,"journal":{"name":"Chemical Engineering and Processing - Process Intensification","volume":"215 ","pages":"Article 110361"},"PeriodicalIF":3.8,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}