Biosensors-Basel最新文献_第8页

Aptamer-Based Biosensors for the Detection of Malaria. 基于适配体的疟疾检测生物传感器。

IF 6.2 3区工程技术

Biosensors-Basel Pub Date : 2026-08-23 DOI: 10.3390/bios16090456

Josep J Centelles, Santiago Imperial

{"title":"Aptamer-Based Biosensors for the Detection of Malaria.","authors":"Josep J Centelles, Santiago Imperial","doi":"10.3390/bios16090456","DOIUrl":"10.3390/bios16090456","url":null,"abstract":"Malaria remains one of the most significant infectious diseases worldwide, requiring rapid, sensitive, and accessible diagnostic tools to improve disease management and control. Conventional diagnostic methods, including microscopy, rapid diagnostic tests, and nucleic acid amplification techniques, present limitations in sensitivity, specificity, cost, or field applicability. This review examines the emerging role of aptamer-based biosensors (aptasensors) as innovative alternatives for malaria detection. Aptamers are synthetic nucleic acid ligands that offer high affinity and specificity toward malaria biomarkers while providing advantages over antibodies, including improved stability, lower production costs, and ease of chemical modification. The review discusses aptamer selection methodologies, major Plasmodium biomarkers targeted for detection, and the integration of aptamers into electrochemical, optical, magnetic, and microfluidic biosensing platforms. Current advances demonstrate the potential of aptasensors to enable highly sensitive, selective, and portable point-of-care diagnostics for malaria surveillance and management.","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 9","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13604688/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041360","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}

引用次数: 0

An Intelligent Wearable EMG Sensing Framework for Athlete Neuromuscular Monitoring and Performance Progression Assessment. 一种用于运动员神经肌肉监测和运动进展评估的可穿戴式智能肌电传感框架。

IF 6.2 3区工程技术

Biosensors-Basel Pub Date : 2026-08-23 DOI: 10.3390/bios16090457

Kudratjon Zohirov, Sardor Boykobilov, Gulmira Pardayeva, Nilufar Akhmedova, Dilobar Ilmurodova, Iroda Uralova, Zavqiddin Temirov, Rashid Nasimov

{"title":"An Intelligent Wearable EMG Sensing Framework for Athlete Neuromuscular Monitoring and Performance Progression Assessment.","authors":"Kudratjon Zohirov, Sardor Boykobilov, Gulmira Pardayeva, Nilufar Akhmedova, Dilobar Ilmurodova, Iroda Uralova, Zavqiddin Temirov, Rashid Nasimov","doi":"10.3390/bios16090457","DOIUrl":"10.3390/bios16090457","url":null,"abstract":"Electromyography (EMG)-based sensing is an important tool for assessing neuromuscular activity and monitoring athlete development; its reliability depends on electrode placement, signal quality, and accurate identification of muscle activation periods. This study proposes an intelligent EMG sensing framework integrating preliminary electrode placement assessment, muscle activity detection, feature extraction, and regression-based progression prediction. A placement assessment indicated that positioning the electrode adjacent to the innervation zone produced the highest RMS under the tested conditions. A two-stage activity detection method based on clustering and probabilistic modeling achieved an average error of 1.5% and a temporal deviation of 19 ms. Nine time-domain EMG features extracted from the detected activity segments were used to characterize athlete progression and estimate the time required to reach a reference neuromuscular profile. Among the methods, Linear Regression provided the best fit to the data, obtaining R2 = 0.987 and RMSE = 4.21 and suggesting a predominantly linear relationship between the EMG-derived features and training duration within the dataset. However, these results were obtained from only six longitudinal observation periods for a single representative athlete, with each period represented by a 90-dimensional EMG feature vector derived from the ten movement classes. Therefore, the results should be interpreted as preliminary, athlete-specific goodness-of-fit findings rather than evidence of generalizable predictive performance. Validation using larger longitudinal cohorts and independent datasets is required. The proposed framework is compatible with future IoT-enabled wearable and edge-computing architectures; however, hardware-level implementation was beyond the scope of this study.","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 9","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13604646/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041370","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}

引用次数: 0

TAPGFusion: Anatomy-Aware Triple-Attention and MRI-Conditioned Prior Learning for Multimodal Medical Image Fusion. tapg融合：解剖意识三重注意和mri条件先验学习用于多模态医学图像融合。

IF 6.2 3区工程技术

Biosensors-Basel Pub Date : 2026-08-23 DOI: 10.3390/bios16090458

Liu Wang, Yang Zhou, Wenjia Li, Jian Zhao

{"title":"TAPGFusion: Anatomy-Aware Triple-Attention and MRI-Conditioned Prior Learning for Multimodal Medical Image Fusion.","authors":"Liu Wang, Yang Zhou, Wenjia Li, Jian Zhao","doi":"10.3390/bios16090458","DOIUrl":"10.3390/bios16090458","url":null,"abstract":"Multimodal medical image fusion combines anatomical and functional information from different imaging modalities. However, existing methods often struggle to preserve fine anatomical structures while incorporating complementary functional information. To address this problem, we propose TAPGFusion, an anatomy-aware multimodal medical image fusion network. It employs a Multi-Scale Encoder to capture fine local details and broad anatomical structures through parallel convolutions with different receptive fields. A Detail-Enhanced Attention Block further refines the extracted features through channel, spatial, and pixel attention. In addition, a Physiological Prior-Guided Attention Block dynamically balances anatomical and functional features using MRI-conditioned prior information and edge constraints. The main contribution of TAPGFusion is a unified framework that jointly addresses multi-scale feature representation, fine-grained feature selection, and spatially adaptive anatomical-functional fusion. Extensive experiments on three public medical imaging datasets demonstrate the effectiveness and robustness of the proposed method. TAPGFusion achieves CC values above 0.83 and SSIM values above 0.78 on the CT-MRI, PET-MRI, and SPECT-MRI fusion tasks. These results indicate that the proposed method effectively preserves anatomical structures while integrating complementary functional information.","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 9","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13604424/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041363","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}

引用次数: 0

A Low-Cost, Lightweight High-Frequency Ultrasound Transducer with Aluminum Electrodes and 3D-Printed Polymer Housing. 低成本，轻量级高频超声换能器与铝电极和3d打印聚合物外壳。

IF 6.2 3区工程技术

Biosensors-Basel Pub Date : 2026-08-22 DOI: 10.3390/bios16090455

Hyungjung Kim, Woohyun Jin, Do-Kyung Kim, Jaewoo Kim, Jeongwoo Park

{"title":"A Low-Cost, Lightweight High-Frequency Ultrasound Transducer with Aluminum Electrodes and 3D-Printed Polymer Housing.","authors":"Hyungjung Kim, Woohyun Jin, Do-Kyung Kim, Jaewoo Kim, Jeongwoo Park","doi":"10.3390/bios16090455","DOIUrl":"10.3390/bios16090455","url":null,"abstract":"There is an increasing demand for ultrasound imaging technologies, particularly wearable and portable systems, for continuous physiological monitoring applications. Although some recent flexible ultrasound devices have adopted polymer encapsulations, typical rigid transducer designs still include metal housings and costly electrodes, contributing to increased device weight and fabrication cost. To address these limitations, we developed an aluminum-electrode/3D-printed polymer-housing ultrasound transducer (APUT) utilizing a polyvinylidene fluoride piezoelectric film. Compared to a gold-electrode/metal-housing ultrasound transducer, the APUT material costs and total weight were approximately 66% and 86% lower, respectively. Acoustic evaluation revealed a center frequency of 24.5 MHz and a fractional bandwidth of 60.9%, with axial and lateral resolutions of 51 and 152 μm, respectively. Furthermore, during a 3-h pulsed operation test, the APUT exhibited an initial increase in capacitance followed by a relatively stable response, with no progressive surface-temperature increase detected within the accuracy of the measurement method. Finally, successful ex vivo imaging of chicken breast tissue confirms the APUT's biomedical applicability, highlighting its potential as a wearable, portable, and disposable ultrasound platform.","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 9","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13604671/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149040701","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}

引用次数: 0

A Wearable Respiratory Monitor for Home-Based Screening and Stratification of Obstructive Sleep Apnea: A Pilot Study in Participants with Intermediate-to-High STOP-Bang Scores. 用于家庭筛查和分层阻塞性睡眠呼吸暂停的可穿戴呼吸监测仪：一项在中高STOP-Bang评分参与者中的试点研究。

IF 6.2 3区工程技术

Biosensors-Basel Pub Date : 2026-08-20 DOI: 10.3390/bios16080454

Burcu Kolukisa Birgec, Beyza Toprak, Alexander Balfour Mullen

{"title":"A Wearable Respiratory Monitor for Home-Based Screening and Stratification of Obstructive Sleep Apnea: A Pilot Study in Participants with Intermediate-to-High STOP-Bang Scores.","authors":"Burcu Kolukisa Birgec, Beyza Toprak, Alexander Balfour Mullen","doi":"10.3390/bios16080454","DOIUrl":"10.3390/bios16080454","url":null,"abstract":"Access to in-laboratory polysomnography (PSG) is restricted by prolonged waiting lists, and first-night effects can distort typical sleep architecture. This study evaluates the PneumoWave biosensor as a scalable, unobtrusive alternative for longitudinal single-channel home sleep apnea monitoring. Over three nights in an uncontrolled home environment, the biosensor's respiratory rate agreement was evaluated against smartwatch-derived respiratory rate estimates, whilst apnea/hypopnea detection was compared with concurrent pulse oximetry. PneumoWave and smartwatch devices demonstrated good correlation (r = 0.870; p < 0.001). The PneumoWave device showed strong measurement agreement and provided a highly predictive screening pathway for patients with intermediate-to-high obstructive sleep apnea (OSA) risk. Longitudinal analysis confirmed consistent multi-night performance without first-night effect biases (ICC = 0.956, p < 0.001). Furthermore, its intuitive design yielded zero patient-induced setup errors, highlighting its operational robustness for self-administered use. Combining this continuous chest wall monitor with the STOP-Bang clinical questionnaire has the potential to provide an effective predictive screening pathway, improving community OSA screening and assisting clinical triage. Further validation against full polysomnography is warranted before clinical adoption.","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 8","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13511218/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148832489","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}

引用次数: 0

A Dual-Modal Biosensing Approach to Evaluate Cortico-Muscular Coupling in Adolescent Idiopathic Scoliosis. 双模态生物传感方法评估青少年特发性脊柱侧凸的皮质-肌肉耦合。

IF 6.2 3区工程技术

Biosensors-Basel Pub Date : 2026-08-20 DOI: 10.3390/bios16080451

Chen Liu, Bolin Mai, Kaiqi Wang, Xiaomin Chen, Yinling Sun, Honghai Liu, Honggen Du, Yixuan Sheng, Shao Chen

{"title":"A Dual-Modal Biosensing Approach to Evaluate Cortico-Muscular Coupling in Adolescent Idiopathic Scoliosis.","authors":"Chen Liu, Bolin Mai, Kaiqi Wang, Xiaomin Chen, Yinling Sun, Honghai Liu, Honggen Du, Yixuan Sheng, Shao Chen","doi":"10.3390/bios16080451","DOIUrl":"10.3390/bios16080451","url":null,"abstract":"Adolescent idiopathic scoliosis (AIS) is associated with central neural control and peripheral muscle abnormalities. However, dynamic cortico-muscular coupling (CMC) during fatigue remains poorly understood. We used synchronous 32-channel electroencephalography and 32-channel high-density electromyography (HD-EMG) to record data from 20 adolescents with AIS and 20 healthy controls during the Biering-Sørensen test. Wavelet coherence and topographic mapping were used to characterize CMC and its spatial distribution. Descriptive analyses indicated group- and fatigue-related patterns in HD-EMG activation, cortical connectivity, and CMC topographies. For the prespecified C3/C4 regional analyses, effect sizes, 95% confidence intervals, exact p values, and false-discovery-rate-adjusted p values are reported to support transparent interpretation. These multimodal observations provide exploratory physiological patterns that require confirmation in larger studies with prespecified primary outcomes.","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 8","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13511288/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148833938","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}

引用次数: 0

Quantitative Loop-Mediated Isothermal Amplification (qLAMP) for the Rapid Discrimination of Normal and Cancerous Tissue Models: An Arduino-Based Portable Cancer Detection System Assisted by a pH Microelectrode. 定量环介导等温扩增（qLAMP）用于快速区分正常和癌组织模型：一种基于arduino的便携式癌症检测系统，辅以pH微电极。

IF 6.2 3区工程技术

Biosensors-Basel Pub Date : 2026-08-20 DOI: 10.3390/bios16080453

Sergio Bravo-González, Luisa María Reyes-Cortés, Kristen Aideé Pérez-Alvarez, Grissel Trujillo-de Santiago, Mario Moisés Álvarez

{"title":"Quantitative Loop-Mediated Isothermal Amplification (qLAMP) for the Rapid Discrimination of Normal and Cancerous Tissue Models: An Arduino-Based Portable Cancer Detection System Assisted by a pH Microelectrode.","authors":"Sergio Bravo-González, Luisa María Reyes-Cortés, Kristen Aideé Pérez-Alvarez, Grissel Trujillo-de Santiago, Mario Moisés Álvarez","doi":"10.3390/bios16080453","DOIUrl":"10.3390/bios16080453","url":null,"abstract":"Cancer, the second leading cause of death worldwide, is a significant global challenge, and widespread, accessible, and early diagnostics are recognized as the most cost-effective strategies for reducing cancer burdens. Point-of-care (POC) systems offer an attractive alternative by enabling rapid and cost-effective diagnoses. We introduce a novel POC strategy for cancer biomarker identification based on monitoring the isothermal amplification of relevant cancer markers using a portable Arduino-based loop-mediated isothermal amplification (LAMP) system. The trajectory of the LAMP reaction during the first 3 min of the reaction is used as an indicator of the rate of amplification (defined as the mP3 value). We obtained sets of mP3 values that showed statistically significant differences in the genetic expression of four genes (ESR 1, PGR, Her2, and Ki67) within and between tissue spheroids derived from the MCF7, MDA-MB-231, Du145, and BJ fibroblast cell lines. We then used principal component analysis and clustering techniques to demonstrate that the mP3 value sets derived from the expression of the four selected genes are sufficient to distinguish tissue spheroids derived from four different commercial cell lines. Further qPCR and immunostaining assays confirmed the quantitative LAMP (qLAMP) experimental trends. The immunostaining results were consistent with previous literature reports and with our qLAMP and qPCR results. We present a proof-of-concept demonstration of the use of a LAMP-based POC platform for the identification or discrimination of cancer tissues. Our strategy can be extended to other diseases associated with altered gene expression in body tissues or fluids.","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 8","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13511430/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148833882","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}

引用次数: 0

DMG-GCN: A Dynamic Microstate-Guided Graph Convolutional Network for EEG Cognitive Workload Decoding in Air Traffic Control. DMG-GCN：一种用于空中交通管制脑电认知负荷解码的动态微状态引导图卷积网络。

IF 6.2 3区工程技术

Biosensors-Basel Pub Date : 2026-08-20 DOI: 10.3390/bios16080452

Yu Zhang, Quan Shao, Haihong Yang, Xiaosong Ren, Xiaolin Peng

{"title":"DMG-GCN: A Dynamic Microstate-Guided Graph Convolutional Network for EEG Cognitive Workload Decoding in Air Traffic Control.","authors":"Yu Zhang, Quan Shao, Haihong Yang, Xiaosong Ren, Xiaolin Peng","doi":"10.3390/bios16080452","DOIUrl":"10.3390/bios16080452","url":null,"abstract":"Complex inter-subject variability induces severe distribution shifts in the physiological features of electroencephalography (EEG) for air traffic controllers (ATCOs). These inter-subject shifts limit the generalization and interpretability of passive brain-computer interfaces (pBCIs) during cognitive workload decoding. To address this, a Dynamic Microstate-Guided Graph Convolutional Network (DMG-GCN) is proposed for robust cross-subject workload recognition. This approach utilizes a Dynamic Selective Kernel Temporal Convolutional Block (DSK-TCB) to adaptively extract multi-scale temporal-spectral dynamics, while concurrently constructing a time-evolving adjacency matrix via a Microstate-Guided Dynamic Graph Block (MG-DGB) to disentangle topological sub-networks. A spatiotemporal graph convolution module then aggregates these representations, and a temporal self-attention mechanism focuses on task-critical transition moments. Extensive experiments on simulated multi-level air traffic control tasks demonstrate that the proposed model achieves an overall average accuracy of 80.30% and an average F1-score of 78.63% in cross-subject evaluations, significantly outperforming state-of-the-art baselines. Moreover, an exploratory interpretability analysis suggests that the extracted topological sub-networks exhibit spatial patterns consistent with specific brain network reorganizations, which encompass the transition from global distributed monitoring to temporal multimodal integration and parietal-occipital parallel processing during workload regulation. The framework provides a robust and analytically transparent pBCI solution for adaptive automation in modern aviation.","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 8","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13510637/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148833607","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}

引用次数: 0

Ag/AgCl Nanoparticle Incorporation into Epipremnum aureum for Electrothermal Signal Amplification and Machine-Learning-Based Temperature Prediction. 银/银氯化银纳米颗粒入金层用于电热信号放大和基于机器学习的温度预测。

IF 6.2 3区工程技术

Biosensors-Basel Pub Date : 2026-08-19 DOI: 10.3390/bios16080450

Marco Merino-Treviño, Ana Beatriz Morales-Cepeda, Hernán Peraza-Vázquez, Edgar Onofre-Bustamante

{"title":"Ag/AgCl Nanoparticle Incorporation into Epipremnum aureum for Electrothermal Signal Amplification and Machine-Learning-Based Temperature Prediction.","authors":"Marco Merino-Treviño, Ana Beatriz Morales-Cepeda, Hernán Peraza-Vázquez, Edgar Onofre-Bustamante","doi":"10.3390/bios16080450","DOIUrl":"10.3390/bios16080450","url":null,"abstract":"Recently, plant-based bioelectronic systems have been explored for environmental sensing applications. However, their intrinsically low electrical conductivity often limits signal sensitivity and measurement reliability. In this work, the electrothermal behavior of living Epipremnum aureum plants incorporating Ag/AgCl nanoparticles supported on nanocellulose was investigated. Electrical and thermal responses were simultaneously measured under controlled environmental conditions using external shunt resistances of 1, 10, 100, and 1000 Ω. Compared with the control without nanoparticle incorporation, the nanoparticle-incorporated plant exhibited stronger electrical responses and distinct electrothermal behavior over the studied temperature range. The measured signals showed nonlinear responses, temporal asymmetry, and resistance-dependent modulation, suggesting changes in charge transport within the plant tissues. Silver-enriched regions and the co-detection of chlorine within the nanoparticle-incorporated plant tissues were identified by environmental scanning electron microscopy and energy-dispersive X-ray spectroscopy. Five machine-learning regression models were trained to estimate temperature using the measured electrothermal voltage signals as predictors. The best-performing model, MLP FitRNet, achieved a mean absolute error of 0.598 °C, a root mean square error of 0.748 °C, and an R2 value of 0.974. These results demonstrate the potential of nanoparticle-incorporated biohybrid plant systems for electrothermal signal analysis and data-driven temperature estimation, while providing a foundation for future intelligent environmental monitoring applications.","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 8","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13510313/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148833042","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}

引用次数: 0

Plasmonic Nanoarray Biosensors for Non-Invasive Cancer Diagnostics. 用于非侵入性癌症诊断的等离子体纳米阵列生物传感器。

IF 6.2 3区工程技术

Biosensors-Basel Pub Date : 2026-08-18 DOI: 10.3390/bios16080449

Se Eun Kim, Hye Kyu Choi, Jin-Ha Choi

{"title":"Plasmonic Nanoarray Biosensors for Non-Invasive Cancer Diagnostics.","authors":"Se Eun Kim, Hye Kyu Choi, Jin-Ha Choi","doi":"10.3390/bios16080449","DOIUrl":"10.3390/bios16080449","url":null,"abstract":"Early cancer detection can expand treatment options and improve patient survival, but it requires tests that can be repeated with minimal patient burden. Urine and saliva can be collected non-invasively and may contain cancer-associated nucleic acids, proteins, and extracellular vesicles. Clinical analysis of these body fluids is complicated by low biomarker abundance, inter-individual variation, and matrix components that interfere with surface-based sensing. Plasmonic nanoarray biosensors address some of these analytical constraints by concentrating local electromagnetic fields, supporting multiplexed optical readout, and accommodating surface chemistry and microfluidic handling. This review examines nanoarray architectures, fabrication methods, surface functionalization, and signal generation for cancer-associated biomarkers in urine and saliva. Localized surface plasmon resonance, surface-enhanced Raman scattering, and metal-enhanced fluorescence are discussed together with applications to bladder, prostate, pancreatic, oral, and head-and-neck cancers. Remaining barriers include biofouling, pre-analytical variation, fabrication reproducibility, limited validation using authentic biofluids, and incomplete sample-to-answer integration. Addressing these challenges through standardized biofluid processing, scalable nanoarray fabrication, and integrated microfluidic platforms will be essential for translating plasmonic nanoarray biosensors into clinically applicable cancer screening tools.","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"16 8","pages":""},"PeriodicalIF":6.2,"publicationDate":"2026-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13510375/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148833866","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}

引用次数: 0