{"title":"Correction: Functionality integration in stereolithography 3D printed microfluidics using a \"print-pause-print\" strategy.","authors":"Matthieu Sagot, Timothée Derkenne, Perrine Giunchi, Yohan Davit, Jean-Philippe Nougayrède, Corentin Tregouet, Vincent Raimbault, Laurent Malaquin, Bastien Venzac","doi":"10.1039/d5lc90036k","DOIUrl":"https://doi.org/10.1039/d5lc90036k","url":null,"abstract":"<p><p>Correction for 'Functionality integration in stereolithography 3D printed microfluidics using a \"print-pause-print\" strategy' by Matthieu Sagot <i>et al.</i>, <i>Lab Chip</i>, 2024, <b>24</b>, 3508-3520, https://doi.org/10.1039/D4LC00147H.</p>","PeriodicalId":85,"journal":{"name":"Lab on a Chip","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143778564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lab on a ChipPub Date : 2025-04-04DOI: 10.1039/d5lc00119f
Pablo A Godoy, Alirza Orujov, Aurora Pérez Gramatges, Saman A Aryana
{"title":"Rock-on-a-chip: a novel method for designing representative microfluidic platforms based on real rock structures and pore network modelling.","authors":"Pablo A Godoy, Alirza Orujov, Aurora Pérez Gramatges, Saman A Aryana","doi":"10.1039/d5lc00119f","DOIUrl":"https://doi.org/10.1039/d5lc00119f","url":null,"abstract":"<p><p>Microfluidics is a key tool for studying pore-scale phenomena in porous media, with applications in oil recovery and carbon storage. However, accurately replicating rock pore structures in quasi-2D microfluidic platforms remains a challenge. Existing design strategies, including regular and irregular networks, fractal geometries, thin-section imaging, and multi-step methods using CT scans and SEM images, often fail to capture real pore space morphologies. To address these issues, we developed a multi-step workflow that preserves pore morphology and size distributions in quasi-2D microchips (rock-on-a-chip) by generating 2D pore throats from 3D network data of CT-scanned rock samples. The method showed strong agreement between 2D and 3D pore and throat size distributions in both designed patterns and fabricated microchips. A critical factor in achieving accurate pore geometry was precise mask alignment, which enabled the fabrication of microchips with narrower throats for relatively tight reservoir patterns. Permeability regulation was achieved by adjusting inlet areas while maintaining pore and throat size distributions similar to the original 3D subvolume. Flow simulations using the Hagen-Poiseuille equation within the OpenPNM framework showed differences between simulated and experimental permeability, especially in low-permeability designs, which were more sensitive to the etching process. Despite these challenges, the proposed approach minimizes common discrepancies between rock pore space morphologies and quasi-2D microchips, significantly improving the reliability of microfluidic studies for applications requiring accurate pore-scale structures.</p>","PeriodicalId":85,"journal":{"name":"Lab on a Chip","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143778568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lab on a ChipPub Date : 2025-04-04DOI: 10.1039/d4lc01090f
Bryan G Schellberg, Abigail N Koppes, Ryan A Koppes
{"title":"<i>In situ</i> monitoring of barrier function on-chip <i>via</i> automated, non-invasive luminescence sensing.","authors":"Bryan G Schellberg, Abigail N Koppes, Ryan A Koppes","doi":"10.1039/d4lc01090f","DOIUrl":"10.1039/d4lc01090f","url":null,"abstract":"<p><p>Over the past 30 years, organs-on-a-chip (OOCs) have emerged as a robust alternative to address the technological challenges associated with current <i>in vitro</i> and <i>in vivo</i> options. Although OOCs offer improved bio-relevance and controlled complexity, broad adoption has remained limited. Most approaches to characterize on-chip structure and function require human intervention, limiting device translation and feasibility. Here, we introduce a new fiber optic-based sensing platform that enables automated, temporal luminescence sensing on-chip, validated for real-time readout of epithelial and endothelial barrier function under cytokine-induced inflammation. Our platform, capable of at least 1 μM resolution, tracked paracellular transport <i>in situ</i> for 9 days of culture under perfusion on-chip. These results offer an alternative sensing approach for continuous, non-invasive luminescence monitoring in OOCs.</p>","PeriodicalId":85,"journal":{"name":"Lab on a Chip","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143778561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lab on a ChipPub Date : 2025-04-03DOI: 10.1039/d4lc00950a
Jihyeon Song, Yeji Lee, Min-Seok Kim, Giheon Ha, WonJun Jang, Ulziituya Batjargal, Younggyun Kim, Han-Jun Kim, Junmin Lee
{"title":"High throughput drug screening platform utilizing capillary and artery cell layered models based on tumor-vascular cell interactions.","authors":"Jihyeon Song, Yeji Lee, Min-Seok Kim, Giheon Ha, WonJun Jang, Ulziituya Batjargal, Younggyun Kim, Han-Jun Kim, Junmin Lee","doi":"10.1039/d4lc00950a","DOIUrl":"https://doi.org/10.1039/d4lc00950a","url":null,"abstract":"<p><p>Interactions between tumors and adjacent blood vessels are critical in the tumor microenvironment (TME) for influencing angiogenesis and hematogenous metastasis. Understanding these interactions within the native TME is vital for targeting various tumors, including brain tumors, due to the complexities of the blood-brain barrier. Developing an accurate tumor model that includes cell-cell and cell-matrix interactions, as well as blood flow-induced shear stress, is essential for high-throughput screening (HTS) of anti-cancer drugs. Here, we developed a glioblastoma (GBM) model surrounded by vascular cells. The arterial model was constructed by encapsulating GBM spheroids with layers of human smooth muscle cells (SMCs) and human umbilical vein endothelial cells (HUVECs), while the capillary cell layered model used only HUVECs. Comparative analysis with tumors from different organs revealed the significant role for platelet endothelial cell adhesion molecule (PECAM) in GBM-blood vascular cell interactions. Cytokine secretion analysis demonstrated PECAM's impact on tumor-specific angiogenic potential. Testing with anti-cancer drugs revealed increased expression of PECAM-associated proteins, drug resistance cytokines, and genes associated with tumor progression and metastasis. Additionally, we developed a HTS platform by encapsulating these tumor models in hydrogels and subjecting them to media circulation, effectively mimicking the dynamic TME, suitable for cancer treatment research and drug development.</p>","PeriodicalId":85,"journal":{"name":"Lab on a Chip","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143770764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lab on a ChipPub Date : 2025-04-03DOI: 10.1039/d5lc00171d
Mohamed Ishag Hassan Gama, Saminu Abdullahi, Marwa Omer Mohammed Omer, Zhu Yang, Xuzhong Wang, Yousuf Babiker M Osman, Yuhang Liu, Jingzhen Li, Yingtian Li, Xing Gao, Zedong Nie
{"title":"A novel manual rotating fluid control mechanism in a microfluidic device with a finger-actuated pump for dual-mode sweat sampling.","authors":"Mohamed Ishag Hassan Gama, Saminu Abdullahi, Marwa Omer Mohammed Omer, Zhu Yang, Xuzhong Wang, Yousuf Babiker M Osman, Yuhang Liu, Jingzhen Li, Yingtian Li, Xing Gao, Zedong Nie","doi":"10.1039/d5lc00171d","DOIUrl":"https://doi.org/10.1039/d5lc00171d","url":null,"abstract":"<p><p>Wearable sweat analysis using microfluidics offers a non-invasive approach for real-time health monitoring, with applications in chronic disease management, athletic performance optimization, and early-stage condition detection. However, most existing wearable sweat microfluidic devices are limited to single-mode operation either real-time or on-demand sampling and often lack precise control over sample volume, which compromises analytical accuracy and utility. To address these limitations, we present a novel wearable microfluidic device featuring a manual rotating fluid control mechanism and a finger-actuated pump for dual-mode sweat sampling. The rotational control mechanism directs sweat either into detection chambers for volume-independent sensor reactions or through the finger-actuated pump for precise volume control. The pump incorporates a dedicated collection chamber, enabling sweat accumulation and controlled delivery in a single actuation, ensuring reproducible sample volumes and facilitating on-demand analysis when required. Additionally, the device integrates two reaction chambers for simultaneous dual biomarker detection. Performance validation during a 40 minute exercise session, using a colorimetric glucose assay, demonstrated reliable sweat sampling and on-demand biochemical analysis. These results highlight the device's potential as a practical tool for personalized health monitoring and field applications.</p>","PeriodicalId":85,"journal":{"name":"Lab on a Chip","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143770763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lab on a ChipPub Date : 2025-04-03DOI: 10.1039/d4lc01037j
Haotian Cha, Lingxi Ouyang, Xiangxun Chen, Yuao Wu, Xiaoyue Kang, Hongjie An, Weihua Li, Nam-Trung Nguyen, Jun Zhang
{"title":"Leveraging dielectrophoresis in inertial flow for versatile manipulation of micro and nanoparticles.","authors":"Haotian Cha, Lingxi Ouyang, Xiangxun Chen, Yuao Wu, Xiaoyue Kang, Hongjie An, Weihua Li, Nam-Trung Nguyen, Jun Zhang","doi":"10.1039/d4lc01037j","DOIUrl":"https://doi.org/10.1039/d4lc01037j","url":null,"abstract":"<p><p>The manipulation of micro and nanoparticles has extensive applications in biomedical research, clinical diagnostics, environmental monitoring, drug discovery, and the mining industry. Dielectrophoresis (DEP) utilises nonuniform electric fields to manipulate particles, offering a label-free, high-precision, and non-invasive method for both natural and synthetic particles. DEP manipulation has been well studied in the Stokes flow region with ultra-low Reynolds numbers (Re ≪ 1), where viscous effects dominate. However, its application in the inertial flow regime remains largely unexplored. This study aims to bridge the gap by coupling DEP and inertial flow for the manipulation of particles across micro and nano scales. First, we theoretically analysed the physical coupling of DEP and inertial lift forces along the vertical direction in microchannels, utilising symmetrical interdigitated electrode (IDE) arrays patterned on the top and bottom channel surfaces. We then experimentally investigated how the vertical coupling of DEP and inertial lift forces affects particle lateral focusing properties. The effects of DEP along the vertical direction were leveraged and amplified by the inertial effects along the lateral direction. Finally, we applied DEP in the inertial flow regime for size-based and dielectric property-based separation of particles and cells, as well as nanoparticle focusing and filtration. We believe that leveraging DEP in inertial flow will advance the field by providing a versatile and powerful method for the manipulation of micro and nanoparticles.</p>","PeriodicalId":85,"journal":{"name":"Lab on a Chip","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143770765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lab on a ChipPub Date : 2025-04-02DOI: 10.1039/d4lc01000k
Raziyeh Bounik, Alex E Landolt, Jihyun Lee, Vijay Viswam, Fernando Cardes, Mario M Modena, Andreas Hierlemann
{"title":"Seamless integration of CMOS microsensors into open microfluidic systems.","authors":"Raziyeh Bounik, Alex E Landolt, Jihyun Lee, Vijay Viswam, Fernando Cardes, Mario M Modena, Andreas Hierlemann","doi":"10.1039/d4lc01000k","DOIUrl":"10.1039/d4lc01000k","url":null,"abstract":"<p><p>As traditional two-dimensional (2D) cell cultures offer limited predictive capabilities for drug development, three-dimensional (3D) tissue models, such as spherical microtissues, have been introduced to better reproduce physiological conditions. The hanging-drop method, used to cultivate microtissues at an air-liquid interface, proves to be effective for microtissue formation and maintenance. Using that technology, it is possible to fluidically interconnect several hanging drops hosting different models of human organs to recapitulate relevant tissue interactions. Here, we combine microfluidics with microelectronics (<i>i.e.</i>, complementary metal-oxide-semiconductor (CMOS) technology) and present a novel multifunctional CMOS microelectrode array (MEA) integrated into an open microfluidic system. The device can be used in hanging-drop mode for <i>in situ</i> microtissue readouts and in standing-drop mode like a conventional MEA. The CMOS-MEA chip features two reconfigurable electrode arrays with 1024 electrodes each, and enables electrophysiology, impedance spectroscopy, and electrochemical sensing to acquire a broad spectrum of biologically relevant information. We fabricated the chip using a 0.18 μm CMOS process and developed a strategy to integrate the CMOS-MEA chip into the open microfluidic system within a larger overall effort to incorporate discrete CMOS sensors into microfluidic devices. Proof-of-concept experiments demonstrate the capability to perform electrophysiology and impedance spectroscopy of human induced pluripotent stem cell (hiPSC)-derived cardiac microtissues, as well as electrochemical sensing of different analytes including hydrogen peroxide and epinephrine.</p>","PeriodicalId":85,"journal":{"name":"Lab on a Chip","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11962860/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143762760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lab on a ChipPub Date : 2025-03-31DOI: 10.1039/d4lc01078g
Johannes Heidenberger, Eva I Reihs, Jonathan Strauss, Martin Frauenlob, Sinan Gültekin, Iris Gerner, Stefan Tögel, Peter Ertl, Reinhard Windhager, Florien Jenner, Mario Rothbauer
{"title":"The effect of cyclic fluid perfusion on the proinflammatory tissue environment in osteoarthritis using equine joint-on-a-chip models.","authors":"Johannes Heidenberger, Eva I Reihs, Jonathan Strauss, Martin Frauenlob, Sinan Gültekin, Iris Gerner, Stefan Tögel, Peter Ertl, Reinhard Windhager, Florien Jenner, Mario Rothbauer","doi":"10.1039/d4lc01078g","DOIUrl":"https://doi.org/10.1039/d4lc01078g","url":null,"abstract":"<p><p>Osteoarthritis (OA) is a prevalent degenerative joint disorder characterized by cartilage degradation, chronic inflammation, and progressive joint dysfunction. Despite rising incidences driven by ageing and increasing obesity, potent treatments remain elusive, exacerbating the socioeconomic burden. OA pathogenesis involves an imbalance in extracellular matrix (ECM) turnover, mediated by inflammatory cytokines and matrix-degrading enzymes, leading to oxidative stress, chondrocyte apoptosis, and ECM degradation. Additionally, synovial inflammation (synovitis) plays a critical role in disease progression through molecular crosstalk with cartilage and other joint tissues. Existing <i>in vitro</i> and <i>in vivo</i> OA models face significant limitations in replicating human pathophysiology, particularly the complex interplay between joint tissues. Equine models, due to their anatomical and cellular similarities to humans, offer translational relevance but remain underutilized. This study aims to develop an advanced 3D coculture system using equine chondrocytes and synoviocytes to simulate tissue-level interactions and fluid mechanical forces involved in OA. By incorporating inflammatory stimuli and gravity-driven cyclic fluid actuation, this model enables the study of OA-related molecular interactions in both healthy and diseased conditions under dynamic fluid conditions. Findings from this research provide important insights into pathological tissue crosstalk. In turn, this can help to better understand underlying inflammatory pathways and the potential contribution of fluid flow as an influential factor on the tissue microenvironment.</p>","PeriodicalId":85,"journal":{"name":"Lab on a Chip","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine learning-assisted flexible dual modal sensor for multi-sensing detection and target object recognition in the grasping process.","authors":"Wentao Dong, Kaiqi Sheng, Chang Chen, Xiaopeng Qiu","doi":"10.1039/d5lc00020c","DOIUrl":"https://doi.org/10.1039/d5lc00020c","url":null,"abstract":"<p><p>Multi-modal information data is important for the grasping process of robotic fingers. Simultaneous bimodal perceiving of non-contact proximity distances and contact pressure stimuli is widely desired for artificial intelligence electronics, such as electronic skin and health monitoring. It is a challenge to independently detect and process different signals for target recognition without cross-coupling. A machine learning-assisted flexible dual modal sensor (FDMS) was developed for robotic electronic skin application to simultaneously engage in proximity distance and contact pressure measurements to fully process perception during grasping. FDMSs with a multi-layer structure (polydimethylsiloxane film, conductive silver paste, silicone rubber, and hydrogel film in layers) were developed for robotic electronic skin application. FDMSs with conductive silver coils were designed for proximity perception due to the variable capacitance value. A single electrode mode triboelectric nanogenerator (TENG) sensor with frictional electric effect and electrostatic induction was applied for contact pressure measurements. The AlexNet neural network was adopted to target material and hardness recognition from FDMSs in the robot-grasping process, and it achieved a success recognition rate of 93.49% for different materials and 92.22% for different hardness values. Compared to other algorithms, the performance of the AlexNet neural network was superior for target material recognition, which would improve human-robot interaction ability. The robot electronic skin exhibited dual perception feedback capability in proximity and contact perception with excellent flexibility and stability, which has great potential for human-robot interactions, soft robotics, and biomedical applications.</p>","PeriodicalId":85,"journal":{"name":"Lab on a Chip","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lab on a ChipPub Date : 2025-03-31DOI: 10.1039/d5lc00065c
Keitaro Kasahara, Johannes Seiffarth, Birgit Stute, Eric von Lieres, Thomas Drepper, Katharina Nöh, Dietrich Kohlheyer
{"title":"Unveiling microbial single-cell growth dynamics under rapid periodic oxygen oscillations.","authors":"Keitaro Kasahara, Johannes Seiffarth, Birgit Stute, Eric von Lieres, Thomas Drepper, Katharina Nöh, Dietrich Kohlheyer","doi":"10.1039/d5lc00065c","DOIUrl":"https://doi.org/10.1039/d5lc00065c","url":null,"abstract":"<p><p>Microbial metabolism and growth are tightly linked to oxygen (O<sub>2</sub>). Microbes experience fluctuating O<sub>2</sub> levels in natural environments; however, our understanding of how cells respond to fluctuating O<sub>2</sub> over various time scales remains limited due to challenges in observing microbial growth at single-cell resolution under controlled O<sub>2</sub> conditions and in linking individual cell growth with the specific O<sub>2</sub> microenvironment. We performed time-resolved microbial growth analyses at single-cell resolution under a temporally controlled O<sub>2</sub> supply. A multilayer microfluidic device was developed, featuring a gas supply above a cultivation layer, separated by a thin membrane enabling efficient gas transfer. This platform allows microbial cultivation under constant, dynamic, and oscillating O<sub>2</sub> conditions. Automated time-lapse microscopy and deep-learning-based image analysis provide access to spatiotemporally resolved growth data at the single-cell level. O<sub>2</sub> switching within tens of seconds, coupled with precise microenvironment monitoring, allows us to accurately correlate cellular growth with local O<sub>2</sub> concentrations. Growing <i>Escherichia coli</i> microcolonies subjected to varying O<sub>2</sub> oscillation periods show distinct growth dynamics characterized by response and recovery phases. The comprehensive growth data and insights gained from our unique platform are a crucial step forward to systematically study cell response and adaptation to fluctuating O<sub>2</sub> environments at single-cell resolution.</p>","PeriodicalId":85,"journal":{"name":"Lab on a Chip","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}