Biosensors and Bioelectronics: X最新文献

Feasibility study of a smart insole with triboelectric energy harvesters for early flatfoot detection 带摩擦电能量采集器的智能鞋垫早期平足检测的可行性研究

IF 10.61

Biosensors and Bioelectronics: X Pub Date : 2025-07-07 DOI: 10.1016/j.biosx.2025.100649

Mohammad Alghamaz, Leila Donyaparastlivari, Alwathiqbellah Ibrahim, Nelson Fumo

{"title":"Feasibility study of a smart insole with triboelectric energy harvesters for early flatfoot detection","authors":"Mohammad Alghamaz, Leila Donyaparastlivari, Alwathiqbellah Ibrahim, Nelson Fumo","doi":"10.1016/j.biosx.2025.100649","DOIUrl":"10.1016/j.biosx.2025.100649","url":null,"abstract":"<div><div>This study introduces a self-powered smart insole system designed for real-time monitoring of foot health, with a specific focus on detecting flatfoot conditions. The insole integrates multiple identical triboelectric energy harvesters strategically positioned to capture electrical signals generated from ground reaction forces during daily activities such as walking, jogging, and running. Proof-of-concept testing was conducted on a single participant under two conditions: a healthy foot and a simulated flatfoot created by reducing the medial arch height by approximately 70%. In the healthy foot trials, the system demonstrated consistent and reliable performance, with negligible electrical output from the medial arch sensor due to minimal ground contact in this region. In contrast, the simulated flatfoot condition produced a significant increase in voltage output from the medial arch sensor, successfully identifying the abnormal foot mechanics associated with arch collapse. Additionally, a neural network was implemented to classify healthy and flatfoot conditions from the collected data, achieving an accuracy of 86% and a precision of 96%, demonstrating the feasibility of machine learning integration for automated flatfoot detection. Overall, the findings validate the smart insole’s capability as a promising tool for continuous foot health monitoring, early diagnosis of flatfoot, and future applications in personalized rehabilitation and preventative care.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"26 ","pages":"Article 100649"},"PeriodicalIF":10.61,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144580058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Triple-mode point-of-care diagnostics for high-risk human papillomavirus in urine 尿中高危人乳头瘤病毒的三模式即时诊断

IF 10.61

Biosensors and Bioelectronics: X Pub Date : 2025-07-07 DOI: 10.1016/j.biosx.2025.100658

Duc Anh Thai , Jing Liu , Angel Gutierrez Ruiz , Yuqian Zhang , Marina Walther-Antonio , Yuguang Liu

{"title":"Triple-mode point-of-care diagnostics for high-risk human papillomavirus in urine","authors":"Duc Anh Thai , Jing Liu , Angel Gutierrez Ruiz , Yuqian Zhang , Marina Walther-Antonio , Yuguang Liu","doi":"10.1016/j.biosx.2025.100658","DOIUrl":"10.1016/j.biosx.2025.100658","url":null,"abstract":"<div><div>Human papillomavirus (HPV) screening is crucial for early diagnosis and prevention of cervical cancer, yet fast and convenient HPV detection remains challenging, especially in resource-limited areas. Herein, we developed a nucleic acid test named SSMG-LAMP, which combined loop-mediated isothermal amplification (LAMP) with an engineered DNA indicator (SYBR Safe – Malachite Green) for the point-of-care diagnosis of high-risk HPV strains (HPV 16 and 18) in urine. The assay can be completed within 45 min, including DNA extraction, SSMG-LAMP reaction, and signal readout using a simple, portable system. This system enabled the triple-mode detection of DNA targets using colorimetry, fluorometry, and electrochemistry, and can detect as low as 10 copies μL<sup>−1</sup> HPV DNA. As a preliminary validation, we used SSMG-LAMP for a blind test of 16 clinical urine samples to detect HPV 16 and 18, and results showed a sensitivity of >80 % and specificity of up to 96.2 %, with a 95 % confidence interval. This triple-mode HPV detection strategy holds potential for point-of-care cervical cancer screening in low-resource settings.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"26 ","pages":"Article 100658"},"PeriodicalIF":10.61,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Electrochemical immunosensors targeting hormonal biomarkers for polycystic ovary syndrome: Recent advances and analytical bottlenecks 针对多囊卵巢综合征激素生物标志物的电化学免疫传感器：最新进展和分析瓶颈

IF 10.61

Biosensors and Bioelectronics: X Pub Date : 2025-07-05 DOI: 10.1016/j.biosx.2025.100657

Aniket Nandi , Samuel W. Gillespie , S. Nick Ice , Divyanshi Thakur , Yash Kumar Gaur , Kamal Singh , Kalicharan Sharma

{"title":"Electrochemical immunosensors targeting hormonal biomarkers for polycystic ovary syndrome: Recent advances and analytical bottlenecks","authors":"Aniket Nandi , Samuel W. Gillespie , S. Nick Ice , Divyanshi Thakur , Yash Kumar Gaur , Kamal Singh , Kalicharan Sharma","doi":"10.1016/j.biosx.2025.100657","DOIUrl":"10.1016/j.biosx.2025.100657","url":null,"abstract":"<div><div>Polycystic Ovary Syndrome (PCOS) is a multifactorial endocrine disorder affecting up to 13 % of women of reproductive age, with nearly 70 % remaining undiagnosed due to the limitations of conventional diagnostic methods. These traditional approaches, based on imaging, hormonal assays, and symptom evaluation, are often delayed, nonspecific, and unsuitable for large-scale screening. Recent advances in electrochemical biosensors targeting hormonal biomarkers such as Anti-Müllerian Hormone (AMH), Sex Hormone-Binding Globulin (SHBG), and Follicle-Stimulating Hormone (FSH) offer a promising alternative for rapid, sensitive, and cost-effective PCOS diagnosis. This review critically evaluates electrochemical biosensor technologies developed in last five years for the detection of PCOS, discussing material choices, electrode fabrication strategies, signal transduction techniques (EIS, DPV, CV), and their analytical performance. Key limitations in analytical design, clinical validation, and commercialization are identified, including challenges with multiplexed detection, stability in real biological matrices, and scalability. Finally, solution strategies and future research directions are proposed to bridge the gap between laboratory innovation and real-world point-of-care diagnostic tools for PCOS.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"26 ","pages":"Article 100657"},"PeriodicalIF":10.61,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CIRCA: Circadian inference of rhythmicity using comparative analysis from non-invasive continuous measurements of cortisol and melatonin in passive perspiration CIRCA：利用被动排汗中皮质醇和褪黑激素的无创连续测量的比较分析来推断节律性

IF 10.61

Biosensors and Bioelectronics: X Pub Date : 2025-07-04 DOI: 10.1016/j.biosx.2025.100656

Annapoorna Ramasubramanya , Preeti Singh , Kai-Chun Lin , Shalini Prasad , Sriram Muthukumar

{"title":"CIRCA: Circadian inference of rhythmicity using comparative analysis from non-invasive continuous measurements of cortisol and melatonin in passive perspiration","authors":"Annapoorna Ramasubramanya , Preeti Singh , Kai-Chun Lin , Shalini Prasad , Sriram Muthukumar","doi":"10.1016/j.biosx.2025.100656","DOIUrl":"10.1016/j.biosx.2025.100656","url":null,"abstract":"<div><div>Cortisol and melatonin exhibit distinct circadian rhythms crucial for the regulation of stress and sleep-wake cycles. Precise and continuous evaluation of differential rhythmicity is essential for understanding and managing circadian health; however, current methods using salivary samples are inconvenient for continuous use and dynamic monitoring. In this work, we demonstrate the continuous and dynamic monitoring of cortisol and melatonin using a sweat based wearable sensor based on passive perspiration. Salivary levels mapped with sweat concentrations at sample collection times exhibited strong relationships (Pearson r = 0.92 for cortisol and r = 0.90 for melatonin), and Bland-Altman analysis verified matrix agreement (mean bias close to zero with narrow limits of agreement of −6.09 to 5.94 ng/mL for cortisol and −7.54 to 10.77 pg/mL for melatonin). CircaCompare was used to establish differential rhythmicity, and the results showed two separate peak phases: melatonin at 2AM and cortisol at 8AM when aggregated for all subjects; however, the phases and amplitudes shifted when the results were analyzed by age and by sex validating the dynamic expressions vary by subject and the importance of continuous monitoring of these circadian biomarkers. This study is the first to demonstrate that a passive perspiration based biosensing that continuously measures cortisol and melatonin would help stratify age-related and potentially environment/life-style related changes in hormonal phase and amplitude expression of the circadian biomarkers. Our research establishes sweat as an effective alternative to saliva for endocrine monitoring, facilitating tailored circadian health management, wearable chronotherapy, and continuous hormonal diagnostics.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"26 ","pages":"Article 100656"},"PeriodicalIF":10.61,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144563124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rapid, high-throughput isolation of tumor specific small extracellular vesicles using radial flow microfluidic chip with IEDDA chemistry (ExoOnco ChipEpCAM−TCO) 利用具有IEDDA化学功能的径向流微流控芯片（ExoOnco ChipEpCAM - TCO）快速、高通量分离肿瘤特异性细胞外小泡

IF 10.61

Biosensors and Bioelectronics: X Pub Date : 2025-07-03 DOI: 10.1016/j.biosx.2025.100652

Nnaemeka Onukwugha , Henry McEacheron , Scott Smith , Harrison Ball , Nithya Ramnath , Sunitha Nagrath

{"title":"Rapid, high-throughput isolation of tumor specific small extracellular vesicles using radial flow microfluidic chip with IEDDA chemistry (ExoOnco ChipEpCAM−TCO)","authors":"Nnaemeka Onukwugha , Henry McEacheron , Scott Smith , Harrison Ball , Nithya Ramnath , Sunitha Nagrath","doi":"10.1016/j.biosx.2025.100652","DOIUrl":"10.1016/j.biosx.2025.100652","url":null,"abstract":"<div><div>Extracellular vesicles (sEVs) are promise as biomarkers for early cancer diagnostics and prognostics. Immunoaffinity-based isolation techniques using antibodies for specific sEV surface proteins offer high specificity and purity. However, researchers struggle with isolating rare sEV subtypes, achieving sufficient throughput and managing harmless release. To address these challenges, we developed the ExoOnco chip, a microfluidic device featuring a radial flow design with bean-shaped micro-posts that create a varying shear rate profile for efficient sEV capture. This device integrates the catalyst-free, biocompatible, and biorthogonal Inverse electron demand Diels-Alder (IEDDA), conjugated with antibodies for the rapid and precise isolation of rare sEV subtypes. Additionally, our modified chemistry incorporates a reducible disulfide bridge for simple release of captured sEVs. We successfully captured and released sEVs expressing high levels of epithelial cellular adhesion molecule (EpCAM) from cell line media and non-small cell lung cancer (NSCLC) patient plasma. Following captured, we show the potential for characterizing isolated sEV using WB and micro-bicinchoninic acid assay. We have illustrated our device's specificity towards tumor derived sEVs (TDEs) utilizing patient and healthy plasma to show a significant difference in TAA expression level using dPCR analysis. By implementing the rapid IEDDA chemistry and functional disulfide bridge, the improved ExoOnco Chip facilitates the isolation and release of rare TDEs, enabling further investigation of their bioactive constituents. This technology opens avenues for advancements in early-stage cancer diagnosis and adaptive immunotherapies based on these bioactive constituents.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"26 ","pages":"Article 100652"},"PeriodicalIF":10.61,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A smart hip implant with embedded multidirectional sensing and wireless load monitoring for enhanced orthopedic care 一种内置多向传感和无线负荷监测的智能髋关节植入物，用于增强骨科护理

IF 10.61

Biosensors and Bioelectronics: X Pub Date : 2025-06-30 DOI: 10.1016/j.biosx.2025.100648

Leila Donyaparastlivari, Alwathiqbellah Ibrahim

{"title":"A smart hip implant with embedded multidirectional sensing and wireless load monitoring for enhanced orthopedic care","authors":"Leila Donyaparastlivari, Alwathiqbellah Ibrahim","doi":"10.1016/j.biosx.2025.100648","DOIUrl":"10.1016/j.biosx.2025.100648","url":null,"abstract":"<div><div>This study presents the development, integration, and experimental validation of a smart total hip replacement (THR) system that combines piezoelectric load sensing, energy harvesting, and wireless data transmission. The implant incorporates seven piezoelectric sensors embedded within the femoral head, strategically positioned using Finite Element Analysis (FEA) to identify high-strain contact zones during gait. A customized cam-driven benchtop setup simulated cyclic loading at walking (2 Hz), jogging (3 Hz), and running (4 Hz) frequencies to evaluate the sensor system under physiologically relevant conditions. The results confirmed the implant’s ability to capture localized load variations with high spatial fidelity and repeatability, as sensor output correlated strongly with applied force across dynamic trials. RMS voltage-load profiles and calibration curves were established, enabling accurate quantification of transmitted joint forces. Additionally, the harvested signals demonstrated sufficient power output for wireless communication and potential onboard functionality, positioning the device as a self-sustained biomechanical monitor. This multifunctional platform represents a significant advancement in orthopedic implant technology, offering real-time, in vivo assessment of implant loading to support personalized rehabilitation strategies, early failure detection, and long-term postoperative care.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"26 ","pages":"Article 100648"},"PeriodicalIF":10.61,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144562810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital sensing technologies in cancer care: A new era in early detection and personalized diagnosis 数字传感技术在癌症治疗：早期检测和个性化诊断的新时代

IF 10.61

Biosensors and Bioelectronics: X Pub Date : 2025-06-25 DOI: 10.1016/j.biosx.2025.100651

Muge Yucel , Ahmet Önder , Tolunay Kurt , Berfin Keles , Merve Beyaz , Yaren Karadağ , İrem Yaşyerli , A. Irem Celik , Fatih Sema , Senem Tetik , Sanem Dinçkal , Soner Karabacak , Palaniappan Alagappan , Bo Liedberg , Umit Hakan Yildiz

{"title":"Digital sensing technologies in cancer care: A new era in early detection and personalized diagnosis","authors":"Muge Yucel , Ahmet Önder , Tolunay Kurt , Berfin Keles , Merve Beyaz , Yaren Karadağ , İrem Yaşyerli , A. Irem Celik , Fatih Sema , Senem Tetik , Sanem Dinçkal , Soner Karabacak , Palaniappan Alagappan , Bo Liedberg , Umit Hakan Yildiz","doi":"10.1016/j.biosx.2025.100651","DOIUrl":"10.1016/j.biosx.2025.100651","url":null,"abstract":"<div><div>Digital sensor platforms are systems that integrate sensors with digital technology, which revolutionize data collection, processing, and transmission for enabling real-time, high-precision and automated diagnostics. These platforms often serve as the backbone of modern monitoring systems, enabling real-time data acquisition and analysis for a wide range of applications. Recent advancements in digital sensor platforms have paved the way for transformative innovations in cancer diagnosis. These cutting-edge technologies offer unprecedented opportunities to facilitate early detection, improve diagnostic accuracy, and personalize treatment methods. This review explores the landscape of digital sensor platforms in the context of cancer diagnosis, providing an overview of their principles, functionalities, and clinical applications. The review further illustrates that biosensors, lab-on-a-chip (LOC) devices and wearable sensors have leveraged on nanotechnology, biorecognition materials and artificial intelligence (AI) for revolutionizing cancer diagnosis. It consolidates the recent advances in digital sensor platforms for cancer diagnosis and the associated critical challenges, such as regulatory concerns, standardization, and ethical considerations. Further, the review summarizes the feasibility for the integration of digital sensor platforms with routine clinical practices for the development of efficient cancer diagnosis and treatment methods.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"26 ","pages":"Article 100651"},"PeriodicalIF":10.61,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144522770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nanostructure modified carbon thread as wearable patch for enzymatic and non-invasive monitoring of glucose from human samples 纳米结构修饰的碳线可穿戴贴片用于人体样品中葡萄糖的酶促和无创监测

IF 10.61

Biosensors and Bioelectronics: X Pub Date : 2025-06-25 DOI: 10.1016/j.biosx.2025.100653

Jithin Thomas Chacko , K. Niyas , Anson T. Mathew , P Abdul Rasheed

{"title":"Nanostructure modified carbon thread as wearable patch for enzymatic and non-invasive monitoring of glucose from human samples","authors":"Jithin Thomas Chacko , K. Niyas , Anson T. Mathew , P Abdul Rasheed","doi":"10.1016/j.biosx.2025.100653","DOIUrl":"10.1016/j.biosx.2025.100653","url":null,"abstract":"<div><div>Traditional blood-based glucose detection methods are invasive, inconvenient, and unsuitable for continuous monitoring, highlighting the critical need for a non-invasive alternative. To address this urgent need, we developed a non-invasive and wearable electrochemical glucose sensor patch based on a platinum-copper (Pt-Cu) nanocomposite electrodeposited on carbon cloth thread (CCT) electrode after functionalizing with an electropolymerized polyphenol (Pphe)-glucose oxidase (GOx) film. The immobilization of GOx via the formation of a polyphenol film was done by electropolymerization of phenol in presence of GOx. The detection capability of the developed sensor was evaluated by chronoamperometry analysis and found that the sensor is able to detect glucose with wide linear detection range from 100 to 1500 μM with an ultra-low limit of detection (LOD) of 31.1 μM and 64.4 μM for artificial sweat and urine respectively. In addition, the developed sensor is found to be reproducible, repeatable and highly selective in presence of common interfering molecules present in the human samples. Furthermore, the developed sensor was seamlessly integrated into a wearable prototype device on a commercial bandage with custom made potentiostat circuit called Nanopot. The developed wearable prototype sensor system also exhibits a wide linear detection range from 300 to 1500 μM and a promising LOD of 25.8 μM. These results further validate the reliability, consistency, and practical applicability of the sensor system with a promising potential to address the urgent demand for non-invasive, painless and user-friendly diabetes management.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"26 ","pages":"Article 100653"},"PeriodicalIF":10.61,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and analysis of a magneto-resistance-based device to mitigate risks from high magnetic field exposure 设计和分析一种基于磁电阻的装置，以减轻高磁场暴露的风险

IF 10.61

Biosensors and Bioelectronics: X Pub Date : 2025-06-25 DOI: 10.1016/j.biosx.2025.100654

Kazi Mustafizur Rahman, Md Mushfiqur Rahman, Sadia Islam, Hasib Md Abid Bin Farid, Md Faysal Nayan

{"title":"Design and analysis of a magneto-resistance-based device to mitigate risks from high magnetic field exposure","authors":"Kazi Mustafizur Rahman, Md Mushfiqur Rahman, Sadia Islam, Hasib Md Abid Bin Farid, Md Faysal Nayan","doi":"10.1016/j.biosx.2025.100654","DOIUrl":"10.1016/j.biosx.2025.100654","url":null,"abstract":"<div><div>The motivation is to develop a device for pacemaker-implanted patients that would automatically alert them in an intense magnetic field. Moreover, the employees working near any strong magnetic environment would benefit by avoiding high exposure. This research delves into a comprehensive process for the implementation and characterization of such a wearable based on the magnetoresistance effect, which is a function of the magnetic field. The program executes on the Arduino IDE platform. Samples are taken for varying magnetic flux density along each axis, for changes in distance of 2.5 mm. The calculations take place accordingly and provide outputs in microtesla units. Subsequently, the device is analyzed by plotting the responses, and it also helps to understand the working procedure. For a certain axis, the magnetic field is generally stronger than others. The goal is to determine the highest absolute value at any instance, including the Earth's geomagnetic field of 22–67 μT. Regulatory standards are followed to divide the magnetic flux density into four states: power saver (below 150 μT), safe (150–500 μT), unsafe (500–750 μT), and danger (over 750 μT). These values consist of ±20 μT error, which is quite insignificant. Depending on the state, the novel device generates different warning signals to mitigate risk from magnetic fields. From the error bar plot, it is realized that the percentage of error decreases while calculating higher magnetic flux. The errors could be reduced remarkably by ensuring better calibration and compensation techniques in the future.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"26 ","pages":"Article 100654"},"PeriodicalIF":10.61,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144522769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MoS2-Si3N4-based SPR biosensor for the detection of malaria at different stages: A theoretical insight 基于mos2 - si3n4的SPR生物传感器在不同阶段检测疟疾：一个理论见解

IF 10.61

Biosensors and Bioelectronics: X Pub Date : 2025-06-25 DOI: 10.1016/j.biosx.2025.100655

Talia Tene , Marco Guevara , Isaías Caicedo , Jose Luis Granizo Jara , Myrian Borja , Lala Gahramanli , Cristian Vacacela Gomez , Stefano Bellucci

{"title":"MoS2-Si3N4-based SPR biosensor for the detection of malaria at different stages: A theoretical insight","authors":"Talia Tene , Marco Guevara , Isaías Caicedo , Jose Luis Granizo Jara , Myrian Borja , Lala Gahramanli , Cristian Vacacela Gomez , Stefano Bellucci","doi":"10.1016/j.biosx.2025.100655","DOIUrl":"10.1016/j.biosx.2025.100655","url":null,"abstract":"<div><div>The accurate differentiation of malaria stages is essential for effective treatment and epidemiological control. This work presents a theoretical analysis of a multilayer surface plasmon resonance (SPR) biosensor for malaria stage detection based on refractive index variations of infected red blood cells. The sensor combines silver, silicon nitride (Si<sub>3</sub>N<sub>4</sub>), monolayer molybdenum disulfide (MoS<sub>2</sub>), and thiol-functionalized single-stranded DNA (ssDNA) on a BK7 prism. Using the transfer matrix method (TMM), we evaluate the sensor performance across Ring, Trophozoite, and Schizont stages through sensitivity, full width at half maximum (FWHM), quality factor (QF), detection accuracy (DA), limit of detection (LoD), and comprehensive sensitivity factor (CSF). The optimized configuration achieves angular sensitivities of 318.2 (Ring), 268.9 (Trophozoite), and 244.8 (Schizont) °/RIU, demonstrating clear stage discrimination and competitive performance compared to reported multilayer SPR sensors. The layered architecture was designed with experimentally accessible materials and configurations, supporting future translation to stage-specific diagnostic platforms.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"26 ","pages":"Article 100655"},"PeriodicalIF":10.61,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0