BIOMEDICAL MICRODEVICES生物医学微器件
BIOMEDICAL MICRODEVICES(英文缩写 BIOMED MICRODEVICES),ISSN 1387-2176,eISSN 1572-8781,中文译名:生物医学微器件 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 3.783 | Q3 |
| 2022 | 2.800 | Q3 |
| 2023 | 3.000 | Q3 |
| 2024 | 3.300 | Q2 |
| 2025 | 4.400 | Q2 |
BIOMEDICAL MICRODEVICES 最新收录文献
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1. Isolating viable bacteria from positive blood cultures: impedance cytometry analysis.
PMID:日期:2026-10-01Bloodstream infections (BSIs) lead to sepsis, an acute inflammatory response associated with high mortality. Current clinical treatment pathways rely on culture-based diagnostics to identify the infectious agent and determine its susceptibility to antibiotics, delaying targeted therapy. Recent approaches to accelerate this focus on the isolation of bacteria directly from blood cultures for rapid downstream analysis using haemolytic agents to replace the gold-standard purity plate subculture. However, many of these methods impact bacterial viability during the early stages of growth. Rapid phenotypic antimicrobial susceptibility testing requires a pure inoculum of actively dividing bacteria to deliver early results (within 3 h), but most isolation chemistries are developed for mass spectrometry identification which does not require viable bacteria. This is particularly relevant for Gram-positive pathogens, as these are more susceptible to detergent agents used for haemolysis. This study investigated five different blood lysis protocols for the isolation of two different bacteria; Escherichia coli (Gram-negative) and Staphylococcus aureus (Gram-positive) from positive blood bottles. Bacterial viability was determined with microfluidic impedance cytometry and standard colony counting, which was also used to determine the extraction efficiency. For all five protocols, the numbers of extracted bacteria were generally high for the two organisms when determined with colony counting (following overnight incubation). However, when determined immediately after extraction with impedance cytometry, the counts were lower for S. aureus. The bacterial viability was also investigated with optical flow cytometry immediately after extraction showing inhibition of S. aureus growth with Sepsityper but not with the milder detergent saponin.
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2. Functional assessment of cardiac beat dynamics under dynamic flow: insights from the Mera microphysiological system.
PMID:日期:2026-09-23Cardiac rhythm is a critical clinical indicator for cardiac arrhythmias and adverse events during drug toxicity studies. In vivo, cardiomyocyte responses to pharmacological agents occur within minutes and are strongly influenced by dynamic drug delivery through blood flow. However, conventional 2D and 3D static culture systems fail to replicate these fluid flow kinetics, limiting their physiological relevance for assessing beat rate responses. Here, we present Mera, a microphysiological system (MPS) developed by Hooke Bio, designed to support long-term culture and functional analysis of 3D cardiac spheroids composed of human induced pluripotent stem cell-derived cardiomyocytes and cardiac fibroblasts. Mera enables dynamic perfusion, allowing investigation of cardiomyocyte beat rates under physiologically relevant flow conditions. The platform is designed to support up to 640 spheroids per run across its modular architecture, and integrates automated imaging, fluid handling, and user-friendly software, operating under controlled physiological conditions (37 °C, 5% CO₂); flow rates are tunable between 0 and 12.5 mL/min to mimic in vivo environments. In the present study, we demonstrate its use at a smaller experimental scale (up to n = 18 per condition), with full-scale throughput and parallelisation remaining to be validated in future work. Pharmacological testing with verapamil, isoproterenol, calcium chloride, and propranolol demonstrated real-time, reversible modulation of beat rate under flow, including recovery following drug-induced suppression. System variability was comparable to a temperature-controlled reference platform, supporting robust statistical analysis. Dose-response studies yielded IC₅₀ values consistent with literature, confirming physiological relevance. Collectively, these results demonstrate that Mera provides a reproducible, human-relevant platform for modelling cardiomyocyte beat-rate responses to pharmacological modulation under dynamic flow. By enabling dynamic drug exposure and automated analysis, Mera represents a promising approach methodology (NAM) for cardiac drug response testing; incorporation of contractility and electrophysiological readouts will be an important next step toward supporting its use in predictive cardiac safety assessment.
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3. Deformable discoidal polymeric nanoconstructs: Design principles, therapeutic applications, and translational perspectives.
PMID:日期:2026-09-22Deformable Discoidal Polymeric Nanoconstructs (DPN) represent a biomimetic drug-delivery platform designed to overcome the limitations of conventional spherical nanoparticles. Their discoidal geometry, tunable deformability, and PLGA/PEG-based composition promote vascular margination, reduce phagocytic sequestration, prolong circulation, and enhance accumulation at pathological sites. This review highlights the design principles, fabrication strategies, therapeutic applications, and translational potential of DPN. In oncology, DPN have been engineered to improve the loading and sustained release of docetaxel through multi-passage fabrication, prodrug conjugation, and hierarchical micro-combinatorial hydrogel particles (µCGP). These discoidal particles enhanced therapeutic efficacy in preclinical models of triple-negative breast cancer, glioblastoma, and lung metastases. Beyond cancer, surface-functionalized DPN carrying tissue plasminogen activator improved clot targeting and thrombolysis while limiting neurological toxicity in ischemic stroke models. Overall, DPN integrate geometry, mechanics, and surface functionality to achieve vascular confinement, targeted delivery, and improved safety. Their modular design, biocompatible materials, and favorable preclinical performance support further development as versatile platforms for cancer therapy, metastatic disease, and thrombotic disorders.
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4. AlGaN/GaN heterojunction field-effect transistors for suppressing optical artifacts from integrated light-emitting diodes.
PMID:日期:2026-09-18The integrated photoelectrode probe capable of simultaneously stimulating neurons with light and collecting electrophysiological signals is the core device of optogenetics. In this paper, AlGaN/GaN heterojunction field-effect transistors (HFETs) are used instead of the traditional metal microelectrode to prepare brain neural probe, and then bonded with the LED photoelectrode probe to form an integrated photoelectrode probe. The AlGaN/GaN HFET structure brain neural probe has high sensitivity and biocompatibility, which can effectively improve the quality of neuronal signal acquisition. While the light stimulation signal of the LED photoelectrode probe will affect the AlGaN/GaN HFET, severely degrading the signal-to-noise ratio (SNR) of neuronal signal acquisition. We prepared multiple pairs of recording HFET (R-HFET) and differential HFET (D-HFET) at the tip of the brain nerve probe. The R-HFET has a bare gate region that is sensitive to changes in extracellular potential and is used for collecting neuronal signals. The gate region of D-HFET is covered with a SiO[Formula: see text] passivation film, which has low sensitivity to changes in extracellular potential and can hardly collect neuronal signals. D-HFET, like R-HFET, is sensitive to the light stimulation signal from the LED photoelectrode probe. By adjusting the drain-source bias of D-HFET and performing differential processing with the signal collected by R-HFET, the neuronal signal can be clearly separated. Simulated biological experiments in phosphate buffered saline solution have shown that the integrated photoelectrode probe can reduce artifacts by 90%.
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5. Hemodynamic disruption triggers glomerular barrier injury via endothelial glycocalyx degradation in nephrotic syndrome.
PMID:日期:2026-09-16Nephrotic syndrome (NS) is characterized by heavy proteinuria and is frequently accompanied by a hypercoagulable, hemorheologically abnormal state. Although glomerular filtration barrier (GFB) failure is central to proteinuria, the contribution of altered microhemodynamic cues to endothelial barrier injury remains incompletely defined. The endothelial glycocalyx (EG) is both a permeability barrier and a mechanosensor of fluid shear stress (FSS). We combined an adriamycin (ADR)-induced NS rat model with vascular-on-a-chip (VOAC) and glomerulus-on-a-chip (GOAC) platforms. In vivo, coagulation, hemorheology, EG structure and components, inflammatory adhesion molecules, and urinary protein excretion were assessed, with prednisone acetate and sulodexide used as mechanistically distinct comparators. In vitro, endothelial cells were exposed to defined flow-rate conditions to isolate the effect of reduced mechanical stimulation on EG integrity, cytoskeletal organization, inflammatory activation, and GOAC permeability. ADR-treated rats developed hypercoagulability and increased blood viscosity together with marked EG loss and proteinuria. Sulodexide ameliorated hemorheological abnormalities and restored the integrity of the EG, whereas prednisone acetate predominantly reduced proteinuria and inflammatory adhesion-molecule expression. In the chip models, stepwise reductions in perfusion flow rate were associated with progressive EG loss, cytoskeletal disorganization, endothelial activation, and increased glomerular barrier permeability. These complementary models support reduced flow-associated mechanical stimulation as a plausible contributor to EG dysfunction and glomerular barrier leakage in NS. These data did not confirm that ADR-induced injury was entirely mediated by hemodynamic alterations; rather, they uncovered an EG-centered mechanobiological pathway that may operate alongside direct toxic and inflammatory insults.
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6. Microwell platform for single-cell applications and future integration with artificial intelligence (AI).
6. 用于单细胞应用的微孔平台及其未来与人工智能（AI）的整合PMID:日期:2026-09-14Single-cell analysis has become an essential approach for understanding cellular heterogeneity and its implications in biological function, disease progression and therapeutic response. Microwell platforms provide a versatile approach for single-cell analysis by spatially confining individual cells while maintaining access for imaging, perturbation and downstream molecular measurements. This review examines how microwell engineering determines the information that can be obtained from individual cells. We first discuss how cell-loading strategies, well geometry, platform architecture and material selection influence cell capture, spatial organisation and experimental accessibility. Then, review major applications of microwell platforms in cellular behaviour and cell-cell interactions, secretome analysis, genomic and transcriptomic profiling, and drug screening and precision medicine. Across these applications, microwells provide a distinct advantage by preserving cell identity and enabling spatial, temporal, functional and molecular measurements to be linked within the same workflow. However, these capabilities also generate increasingly complex datasets that are difficult to analyse using conventional approaches. We therefore examine the emerging integration of artificial intelligence (AI) for automated image analysis, cell tracking, phenotype classification, behavioural analysis and prediction of cellular and drug responses. Above all, this review distinguishes AI approaches that have been directly demonstrated in microwell-based studies from those developed in the broader single-cell field that remain prospective for microwell applications. Finally, future opportunities for multimodal AI, foundation models, large language model agents and autonomous laboratory systems will be discussed. By linking microwell engineering with AI-driven analysis, this review highlights how experimental design can determine the information available for computational analysis and identifies opportunities to move microwell-based single-cell research from measurement towards prediction and autonomous discovery.
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7. Nanomedicine beyond carriers - devices, cells & living therapeutics.
7. 超越载体的纳米医学——器械、细胞与活体治疗PMID:日期:2026-09-08Nanomedicine has progressed far beyond its early role as an experimental drug-carrier toolbox and today stands as a clinically validated enabling technology. Liposomal formulations and albumin-bound nanoparticles have transformed cancer therapy, while lipid nanoparticle (LNP) platforms accelerated the rapid development and global deployment of SARS-CoV-2 mRNA vaccines-demonstrating how nanoscale engineering can reshape therapeutic response, manufacturing speed, and public health impact. With these successes as foundation, the field is rapidly expanding into more sophisticated delivery systems including cell-hitchhiking nanoparticles, biomimetic multivalent vaccines, implantable immunotherapy depots, high-loading polymeric micelles, organ-targeted gene and RNA carriers, and bio-hybrid extracellular vesicle and mitochondrial therapies. These platforms aim not only to transport drugs, but to modulate immunity, direct regeneration, and enable precision intervention at the cellular and molecular scale. This perspective summarizes the current landscape of biomedical nanotechnologies and outlines how their continued evolution positions nanomedicine as an enabling science driving the next generation of therapeutics.
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8. Geometry-driven miniaturization of a microfluidic paper-based analytical device for reagent-efficient colorimetric detection of dopamine.
PMID:日期:2026-09-07Microfluidic paper-based analytical devices (µPADs) have gained attention for clinical diagnostics due to low cost, simplicity, and suitability for point-of-care testing. However, high reagent and sample consumption, limited analytical efficiency, and non-optimized designs still restrict broader use. To overcome these limitations, we propose a miniaturized and re-optimized µPAD design for colorimetric dopamine that reduces the required assay time and minimizes reagent and sample consumption while maintaining reproducible analytical performance in biological samples. To achieve this goal, six distinct µPAD geometries were designed and evaluated to examine the effect of device architecture on colorimetric signal development, followed by optimization of the selected geometry and reaction conditions. Based on its temporal color development profile and signal intensity, the most suitable configuration was selected for further optimization This optimized platform was further evaluated or reagent consumption, response time, reproducibility, and analytical performance in biological samples. The optimized miniaturized µPAD design achieved more than a six-fold reduction in reagent usage and a two-minute decrease in drying time. The optimized configuration showed an LOQ of 0.0517 µmol/L in buffer, while the selectivity experiments showed signal deviations within ± 3% for the tested interferents. Furthermore, validation in spiked human serum and plasma samples yielded recoveries of 101-102.5%, supporting the feasibility of the proposed µPAD for dopamine analysis in complex biological matrices. Overall, these findings demonstrate the potential of the proposed design as a low-volume and reagent-efficient platform for point-of-care colorimetric sensing and provide a practical basis for further evaluation toward preliminary clinical screening applications.
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9. Engineering Lung-on-a-chip microdevices for respiratory disease modelling and drug testing: A fit-for-purpose framework for design and translational validation.
PMID:日期:2026-09-05Lung-on-a-chip (LoAC) technology has emerged as a human-relevant microphysiological approach for respiratory disease modelling and preclinical drug evaluation. However, substantial variation in device architecture, membrane properties, fluidic conditions, mechanical actuation, cellular composition, sensing and manufacturing limits cross-platform comparison and translational confidence. This structured narrative review examines LoAC systems from a fit-for-purpose engineering perspective, emphasising how quantitative design parameters influence biological performance within defined contexts of use. Recent platforms demonstrate application-dependent trade-offs in membrane and interface design, flow and shear conditions, breathing-related strain, cellular complexity, analytical accessibility, scalability and reproducibility. Evidence from cancer, inhalation toxicology, infection and radiation-injury models further shows that engineering choices can alter barrier function, inflammatory responses, cellular differentiation and therapeutic sensitivity rather than merely improve physiological resemblance. To support practical assessment of translational readiness, we propose an evidence-gated framework comprising engineering verification, biological qualification, disease or pharmacological validation, human concordance, and deployment and regulatory readiness. Importantly, physiological resemblance is distinguished from demonstrated concordance with patient-derived or clinical data and, where required by the context of use, from clinically anchored predictive performance for therapeutic or toxicological outcomes. Translation will require predefined context-of-use (CoU) criteria, quantitative engineering specifications, appropriate reference comparators, clinically anchored benchmarking, quality-controlled manufacturing, standardised reporting and inter-laboratory reproducibility. Prioritising validated, fit-for-purpose performance over maximal complexity may provide a more credible pathway for advancing LoAC platforms toward reliable respiratory research, drug development and regulatory decision-support applications.
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10. An ERβ electrochemical nano-receptor sensor for comparative analysis of estrogenic ligands: electrochemical responses and molecular recognition.
PMID:日期:2026-09-05Estrogen plays essential roles in female physiological regulation, and its biological effects are primarily mediated through interactions with estrogen receptors. Excessive exposure to estrogenic compounds and their analogs may cause adverse biological effects and pose potential risks to human health. Therefore, elucidating the molecular recognition mechanisms between estrogen receptor β (ERβ) and estrogenic ligands is of great importance. In this study, an ERβ electrochemical nano-receptor sensor based on an Au-MoS₂/NiO nanocomposite was constructed for the quantitative determination of ten estrogenic compounds. To complement the electrochemical investigation, molecular docking and molecular dynamics simulations were employed to investigate the interaction mechanisms between ERβ and ligand molecules. The electrochemical measurements revealed ligand-dependent response characteristics, with synthetic estrogenic compounds generally producing stronger electrochemical responses than natural estrogens. The apparent electrochemical response constants (Ka) derived from electrochemical response fitting ranged from 5.63 × 10⁻ to 3.08 × 10⁻ mol/L. The computational analyses suggested that key amino acid residues (Leu339, Arg346, and His475) and phenolic groups of ligands contributed to ERβ-mediated molecular recognition. This study integrates receptor-mediated electrochemical sensing with molecular docking and molecular dynamics simulations to establish an experimental-computational framework for comparative investigation of ERβ-ligand recognition mechanisms among structurally diverse estrogenic compounds.