Pedro Jesús Rodríguez de Rivera, Miriam Rodríguez de Rivera, Fabiola Socorro, Eduardo Garcia-Gonzalez, Elisabetta De Nigris, Jose A L Calbet, Manuel Rodríguez de Rivera
{"title":"Skin Calorimetry of the Vastus Lateralis During Incremental Exercise: Thermal Analysis and Modeling.","authors":"Pedro Jesús Rodríguez de Rivera, Miriam Rodríguez de Rivera, Fabiola Socorro, Eduardo Garcia-Gonzalez, Elisabetta De Nigris, Jose A L Calbet, Manuel Rodríguez de Rivera","doi":"10.3390/bios16090471","DOIUrl":"10.3390/bios16090471","url":null,"abstract":"<p><p>In this study, we examined the thermal response of the vastus lateralis muscle using a skin calorimeter designed for localized measurements. Five healthy young male participants (20-23 years old) performed an incremental test on a cycle ergometer at 20 W·min<sup>-1</sup> until exhaustion. The calorimeter's thermostat was maintained at 30 °C. Ambient temperature was 23 ± 1 °C, and relative humidity ranged from 55% to 60%. The measured heat flow was modeled using functions relating mechanical power output to the thermal response. The model included the exercise phase, recovery, and sweat evaporation. The proposed model accurately reproduced the experimental data and supported a physiological interpretation of the main thermal effects. Two major contributions were identified and physiologically interpreted as muscle warming due to increased metabolic activity and a cooling effect likely linked to changes in blood perfusion. For an area of 2 × 2 cm<sup>2</sup> and an incremental exercise of 20 W·min<sup>-1</sup>, the following values were obtained: (1) a resting heat loss of 150 ± 20 mW; (2) an exponential increase due to exercise of 0.4 ± 0.1 mW·W<sup>-1</sup>, with a time constant of 1.0 ± 0.3 min; and (3) a negative blood-flow contribution described by a function that, in the steady state, has an amplitude of -20 ± 9 mW. Since only five participants were included, correlations with anthropometric variables were treated as exploratory consistency checks. These results demonstrate the usefulness of the calorimeter for decomposing and quantifying muscle thermal dynamics during exercise.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 9","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13604136/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Boli Pan, Shuo Ding, Yingbo Geng, Jiacheng Liang, Fali Li, Gang Wang, Xirong Li, Yanbin Dong, Rihui Li
{"title":"Systematic Benchmarking of a Dry Electrode EEG Prototype Against Wet Electrode EEG Systems in Electrophysiological/Cognitive Scenarios.","authors":"Boli Pan, Shuo Ding, Yingbo Geng, Jiacheng Liang, Fali Li, Gang Wang, Xirong Li, Yanbin Dong, Rihui Li","doi":"10.3390/bios16090467","DOIUrl":"10.3390/bios16090467","url":null,"abstract":"<p><strong>Objective: </strong>Recent advances in dry electrode EEG have enabled rapid setup and recording in unconventional scenarios. However, past developments were primarily driven by brain-computer interfaces (BCI), leaving their comparability to wet electrodes in clinical and daily life applications an open question. Here, we developed a new dry EEG system and systematically benchmarked its performance against a commercial wet EEG system across various tasks.</p><p><strong>Methods: </strong>Participants (<i>n</i> = 19) underwent simultaneous recording using both devices. We first collected resting-state EEG under both eyes-closed and eyes-open conditions, followed by a steady-state visual evoked potential (SSVEP) task at different flicker frequencies and a motor imagery (MI) task. System performance was evaluated using power spectral density (PSD), signal to noise ratio (SNR), event-related spectral perturbation (ERSP), and single-trial classification accuracy.</p><p><strong>Results: </strong>The two systems performed similarly across different tasks. During the resting state, no statistically significant differences were observed between the two systems in the PSD of the five frequency bands (<i>p</i> > 0.05 in all cases). Similarly, SNR in the SSVEP task showed no significant differences at 8 Hz, 10 Hz, and 12 Hz after correction. For cognitive tasks, classification accuracies were comparable (SSVEP: dry 80.08% ± 7.1% vs. wet 81.10% ± 6.5%; MI: dry 72.46% ± 3.89% vs. wet 70.7% ± 2.37%).</p><p><strong>Conclusions: </strong>The developed dry EEG system can effectively record electrophysiological measurements commonly employed in research and clinical settings, with quality comparable to that of traditional wet EEG systems.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 9","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13604244/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Niusha Hassandoost, Leslie Munoz, Kerrigan Kotecki, Irina V Nesterova
{"title":"Yes/No Quantitative Analysis of Single-Stranded Oligonucleotides with Lateral Flow Assays.","authors":"Niusha Hassandoost, Leslie Munoz, Kerrigan Kotecki, Irina V Nesterova","doi":"10.3390/bios16090465","DOIUrl":"10.3390/bios16090465","url":null,"abstract":"<p><p>Accessible molecular diagnostics is fundamental to effective healthcare. While most current point-of-care devices detect only the presence of a molecular biomarker(s), biomarker quantification can be equally important for decision-making on disease treatment and containment. Here, we present a diagnostic platform that enables the equipment-free quantification of molecular biomarkers with the simplicity of a binary (yes/no) readout. This capability is achieved by integrating a stoichiometric quantitative approach with widely available and easy-to-use lateral flow dipsticks. To implement the approach, we engineer negative cooperativity into target-probe binding interactions for oligonucleotide targets as a model system. The resulting threshold-based semi-quantitative assay with lateral flow dipsticks quantifies targets in the low-nanomolar range and operates reliably in complex biological backgrounds. A key advantage of this platform is its potential adaptability to new and emerging targets: repurposing will require only reagent redesign, without the need for additional fabrication.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 9","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13604401/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthew A Crocker, Kevin A White, Mahdieh Darroudi, Vishnu Saket S Bapanapalli, Charles S Lipscomb, Benjamin S John, Brian N Kim
{"title":"A Dual-Mode Neural Amplifier Array for Biopotential and FSCV-Based Neurochemical Measurements.","authors":"Matthew A Crocker, Kevin A White, Mahdieh Darroudi, Vishnu Saket S Bapanapalli, Charles S Lipscomb, Benjamin S John, Brian N Kim","doi":"10.3390/bios16090466","DOIUrl":"10.3390/bios16090466","url":null,"abstract":"<p><p>The simultaneous measurement of biopotential and neurochemical signals provides a comprehensive view of the brain. Yet, most neural interfaces record solely biopotential or neurochemical activity. This work presents a complementary metal-oxide-semiconductor (CMOS) analog front-end (AFE) chip that integrates 32 biopotential amplifiers and 32 neurochemical amplifiers for parallel recording from 64 electrodes. The biopotential amplifier is a two-stage design providing a gain of 57.1 dB, a bandwidth of 0.4 Hz-6.2 kHz, and 6.7 µV<sub>RMS</sub> input-referred noise (20 kHz sampling rate). The neurochemical amplifier is a rail-to-rail folded-cascode operational amplifier with selectable transimpedance gain (91.9 kΩ to 851.9 kΩ), a dynamic range of ±15 μA to ±2 μA, respectively, a bandwidth of 12.6 kHz, and input-referred noise as low as 46.3 pA<sub>RMS</sub> (20 kHz sampling rate). The neurochemical amplifiers are designed for fast-scan cyclic voltammetry (FSCV) measurements. I/O complexity is minimized using a time-division multiplexing scheme for readout, enabling straightforward scalability. The chip is fabricated using a 0.35-µm CMOS process and occupies a 3.0 × 8.3 mm<sup>2</sup> area. In vitro recordings of catecholamines and neural spikes validate the chip's function. The chip enables scalable, low-noise, bimodal neural recording, supporting investigations into the dynamics between neuronal biopotential activity and neurochemical signaling.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 9","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13604892/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149040742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advances in Extracellular Vesicle-Based Surface-Enhanced Raman Spectroscopy for Cancer Diagnosis.","authors":"Shuyuan Zhao, Wen Lei, Juan Li, Jingjing Xia","doi":"10.3390/bios16090464","DOIUrl":"10.3390/bios16090464","url":null,"abstract":"<p><p>As a noninvasive liquid biopsy approach, extracellular vesicle (EV)-based detection offers significant advantages in reflecting real-time tumor dynamis and overcoming the limitations of conventional tissue biopsy. EVs, nanoscale vesicles secreted by cells, carry diverse biomolecules such as proteins and nucleic acids, playing key roles in tumor progression, metastasis, and immune evasion, and have emerged as promising biomarkers for cancer liquid biopsy. Surface-enhanced Raman spectroscopy (SERS), characterized by high sensitivity, resistance to photobleaching, minimal sample consumption, and multiplexing capability, has shown great potential in EV analysis. This review systematically summarizes current methods for EV isolation, characterization, and storage, with a focus on label-free and label-based SERS detection strategies for early cancer diagnosis, treatment response monitoring, and prognosis evaluation. Furthermore, the integration of SERS with machine learning and deep learning algorithms has substantially improved diagnostic accuracy and cancer subtyping. Despite remaining challenges, such as optimization of SERS substrate performance, intelligent processing of Raman spectral fingerprints, and clinical translation, EV-based SERS technology holds great promise for precision oncology.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 9","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13604868/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Label-Free Refractive-Index-Based Detection of Breast, Leukemia, and Prostate Cancer Cells Using a Tetra-Core PCF SPR Biosensor.","authors":"Amit Kumar Shakya, Mantas Grigalavičius","doi":"10.3390/bios16090463","DOIUrl":"10.3390/bios16090463","url":null,"abstract":"<p><p>In this research, a high-performance plasmonic refractive index (RI) biosensor based on an external metal deposition (EMD) technique and photonic crystal fiber (PCF) platform for potential cancer detection is presented, investigated, and linked with real-time cancer cells. Variations in the RI of biological fluids are closely associated with pathological conditions, including cancer, due to changes in cellular composition and biomolecular concentration. The proposed tetra-core PCF-SPR biosensor operates within the biologically relevant RI range of 1.33-1.37, enabling the detection of subtle RI variations corresponding to various cancerous cells. The sensing mechanism of the proposed sensor is based on surface plasmon resonance (SPR) and analyzed using coupled mode light theory for both x- and y- polarized modes. Key sensing performance parameters, including confinement loss (CL), wavelength sensitivity (WS), amplitude sensitivity (AS), sensor resolution (SR), and figure of merit (FOM) are systematically evaluated. The biosensor reports a WS of 9769 and 9069 nm/RIU for x-pol. and y-pol., respectively, AS of 623.182 and 645.087 RIU-1 for x-pol. and y-pol. respectively, SR in the order of 10-5 RIU, coefficient of determination (R2) of 0.97 and 0.96, and FOM of 60.17 and 53.01 RIU-1 for x-pol. and y-pol., respectively. Thus, the proposed PCF-SPR biosensor exhibits a dynamic range of 0.04 RIU. The sensing results demonstrate high sensitivity and strong resonance characteristics, indicating the capability of the proposed biosensor for label-free and non-invasive detection of cancer-associated RI changes in biological fluids. Thus, the presented biosensor offers a promising approach for the highly sensitive label-free detection of early-stage cancer cells by photonics sensing application.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 9","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13604071/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lyubov S Kuznetsova, Kristina D Ivanova, Jun Zhang, Vyacheslav A Arlyapov
{"title":"Redox Polymers in Electrochemical Biosensing: Molecular Design, Electron Transfer, and Hybrid Nanocomposites.","authors":"Lyubov S Kuznetsova, Kristina D Ivanova, Jun Zhang, Vyacheslav A Arlyapov","doi":"10.3390/bios16090462","DOIUrl":"10.3390/bios16090462","url":null,"abstract":"<p><p>Redox-active polymers have become an important component of second-generation electrochemical biosensors, solving the problem of efficient charge transfer between the biological recognition material and the electrode surface. In this review, we discuss the basic design principles, electron transfer mechanisms, and synthesis strategies from the perspective of biosensor applications. Three main classes of redox centers are considered-metal complexes, metallocenes, and organic radicals-as well as polymer matrices, and the factors affecting their stability and operability are discussed. Particular attention is paid to hybrid nanocomposites based on carbon nanotubes, graphene, and metal nanoparticles. The review concludes that despite significant advances in molecular design and the development of nanocomposites, the commercialization of biosensors based on redox polymers is hindered by unresolved issues related to biofouling, metal center instability, and low reproducibility. This emphasizes the need for standardized synthesis and integration of machine learning-based design to achieve a balance between electron transfer kinetics, biocompatibility, and operational properties.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 9","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13604726/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Minhui Liang, Yilong Zhou, Dawei Ming, Jiawei Lyu, Jianwei Zhong, Han Li, Lin Lin
{"title":"Simulation-Based Microfluidic Deformation Mapping for Region-Dependent Apparent Young's Modulus Estimation of Single Cells.","authors":"Minhui Liang, Yilong Zhou, Dawei Ming, Jiawei Lyu, Jianwei Zhong, Han Li, Lin Lin","doi":"10.3390/bios16090461","DOIUrl":"10.3390/bios16090461","url":null,"abstract":"<p><p>High-throughput microfluidic deformation assays enable label-free single-cell mechanophenotyping by quantifying how cells deform under controlled hydrodynamic loading. These approaches commonly extract deformation-related observables, such as projected area, axis ratio, and deformation index, and use them as indicators for cellular mechanical properties. However, deformation is not solely determined by stiffness; it is a coupled outcome of cell size, local hydrodynamic stress, and intrinsic mechanical response. Therefore, we present a simulation-based microfluidic framework for estimating region-dependent apparent Young's modulus (<i>E</i>, a quantitative indicator characterizing cellular mechanical stiffness) from diameter-deformation measurements at the single-cell level. A three-region microfluidic channel is designed to impose distinct hydrodynamic loading conditions, while numerical simulations establish quantitative maps linking cell diameter, deformation, and <i>E</i>. Based on these results, region-specific nonlinear surface models are constructed to invert experimental diameter-deformation measurements into <i>E</i> values. Finally, application to primary T cells and K562 cells demonstrates clear region-dependent differences in <i>E</i>, highlighting the influence of local loading conditions on inferred mechanical properties. Overall, this work provides a simplified but practical route for transforming deformation-based phenotypes into quantitative, loading-aware mechanical parameters for single-cell analysis.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 9","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13604120/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dalia Elsheakh, Ratshih Sayed, Hebatullah H Draz, Ghada H Ibrahim, Heba Shawkey
{"title":"A Multifrequency Millimeter-Wave CMOS Sensor for Non-Invasive Continuous Glucose Monitoring Using UMC 0.18 μm Technology.","authors":"Dalia Elsheakh, Ratshih Sayed, Hebatullah H Draz, Ghada H Ibrahim, Heba Shawkey","doi":"10.3390/bios16090460","DOIUrl":"10.3390/bios16090460","url":null,"abstract":"<p><p>Diabetes is a major worldwide health concern, which emphasizes the critical need for precise and continuous glucose monitoring devices. This paper introduces a novel, non-invasive method for continuous blood glucose monitoring using on-chip multi-arm sensors designed as earbuds by using UMC 0.18 μm technology. The proposed sensor uses the dielectric characteristics of the earbud to detect variations in glucose levels while operating at various resonant frequencies, including 32, 42, 64, and 94 GHz. The sensitivity of the proposed method was evaluated using a reflection coefficient criterion of ∣S11∣≤-6 dB, confirming its ability to achieve accurate detection when implemented within an earbud device. A 3D electromagnetic high-frequency structure simulator (HFSS) is used to validate the simulation. Only |S<sub>11</sub>| data are used to determine the glucose concentrations in the blinded prediction group. The results demonstrate a strong correlation between sensor responses and glucose levels. The sensor achieved a sensitivity of 12.4 MHz/mg/dL, 6 dB/mg/dL. Moreover, the earbud's homogeneous tissue architecture and naturally low eccrine sweat gland density lessen susceptibility to confounding physiological variables commonly observed in microwave-based glucose detection. As a major advancement in biomedical sensing technology, this wearable system provides a precise and useful method for non-invasive glucose monitoring.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 9","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13604410/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149040674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Triadic Mn-ZnS/MOF/MIP Fluorescent Sensor for Highly Sensitive and Selective Sulfathiazole Detection.","authors":"Fatih Pekdemir, İzzet Koçak","doi":"10.3390/bios16090459","DOIUrl":"10.3390/bios16090459","url":null,"abstract":"<p><p>Sulfathiazole (STH) pollution has been increasing, with a strong need for a sensitive and selective analysis method. In this paper, a three-component fluorescent sensing platform with Mn<sup>2+</sup>-doped ZnS quantum dots in a metal-organic framework coated with a surface molecularly imprinted polymer (Mn-ZnS-MOF-MIP) for selective sensing of sulfathiazole is proposed. This synergistic sensor platform combines Mn-ZnS-insensitive emission, MOF-assisted analyte enrichment, and imprinting-based molecular recognition. The sensing platform displays a characteristic turn-off fluorescence with a dominant static quenching mechanism. Under optimal conditions, a broad sensing range with a low detection limit of 13.75 nM can be obtained. Outstanding selectivity among similar sulfonamides, biomolecules, and metal ions were achieved with high reproducibility, stability, and reusability. This sensing platform was shown to analyze sulfathiazole accurately in aqueous samples and blood serum with high recoveries, within the range of 90.00-104.24%, compared to high-performance liquid chromatography methods.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 9","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13604594/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}