Sensors International最新文献

{"title":"A novel system to record pulses, thrills, and bruit sounds generated by arteriovenous fistulas","authors":"Jessica Centracchio ,&nbsp;Eliana Cinotti ,&nbsp;Salvatore Parlato ,&nbsp;Paolo Bifulco ,&nbsp;Pasquale Zamboli ,&nbsp;Rosalba Liguori ,&nbsp;Giuseppe Longo ,&nbsp;Massimo Punzi ,&nbsp;Annalisa Liccardo ,&nbsp;Francesco Bonavolontà ,&nbsp;Giovanna Capolongo ,&nbsp;Emilio Andreozzi","doi":"10.1016/j.sintl.2025.100356","DOIUrl":"10.1016/j.sintl.2025.100356","url":null,"abstract":"<div><div>Arteriovenous fistulas (AVFs) are the preferred vascular accesses for hemodialysis and are made by anastomosing an artery and a vein. The arterial blood flowing into the anastomosed vein results in abnormal infrasonic and audible vibrations of venous walls, which produce tactile and audible sensations known as thrill and bruit sounds. Physical examination of AVFs is instrumental for early detection of stenoses, but it is operator-dependent. Several measurement systems have been proposed for quantitative analysis of bruit sounds, and only a few focused on thrill. However, none of these has demonstrated that the signals acquired correspond to the thrill and bruit sounds perceived by physicians.</div><div>This study presents, for the first time in literature, a novel AVF monitoring system that simultaneously records sphygmic pulses, thrills, and bruit sounds signals, also demonstrating that they share the same behaviors of tactile and audible sensations perceived by physicians. The proposed system is based on a small, non-invasive force sensor that captures both infrasonic and audible vibrations, and an <em>ad hoc</em> signal processing that accurately separates sphygmic pulses from thrills and bruit sounds. Experimental tests were carried out on 18 patients to assess two common behaviors observed during medical routine examinations. In particular, recordings were acquired on 3 measurement sites along the anastomosed vein, to verify the progressive amplitude reduction of thrill and bruit sounds from the anastomosis, and also their brisk amplitude reduction during vein occlusion tests. One-tailed Wilcoxon rank sum tests confirmed the expected amplitude reductions in both tests (p &lt; 0.00001). In conclusion, the proposed AVF monitoring system accurately captures all vibrations produced by AVFs, which could be used to quantitatively evaluate the health status of patients and improve their surveillance.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100356"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465646","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}

{"title":"Utility of organ and organoids-on-chip based in vitro models in gene expression profiling: An overview","authors":"Aiman Y. Alwadi ,&nbsp;Sadeq B. Abu-Dawas ,&nbsp;Sulaiman Al Salameh ,&nbsp;Eman A. Alshehri ,&nbsp;Muhammed Shabab ,&nbsp;Raja Chinnappan ,&nbsp;Ahmed Yaqinuddin ,&nbsp;Tanveer Ahmad Mir","doi":"10.1016/j.sintl.2026.100379","DOIUrl":"10.1016/j.sintl.2026.100379","url":null,"abstract":"<div><h3>Organ</h3><div>and organoid-on-a-chip (OoC) platforms provide microengineered human tissue models that reproduce key physiological features such as perfusion, mechanical cues, and multicellular interfaces while remaining compatible with established gene expression profiling (GEP) techniques. This review examines how conventional transcriptomic methods, including qPCR, microarrays, and bulk and single-cell RNA sequencing, are integrated with OoC systems and how microphysiological control reshapes the interpretation of gene expression data beyond static culture conditions. Representative applications across major organ systems are synthesized to illustrate how chip design parameters (cell source, architecture, flow, mechanical stimulation, and exposure route) influence transcriptional programs associated with disease phenotypes and drug responses. Rather than presenting OoC-derived gene signatures as stand-alone predictors, we emphasize their value as mechanistic endpoints that link controlled environmental perturbations to pathway-level biological responses. The analysis highlights both advantages, such as time-resolved sampling, improved contextual relevance, and reduced reliance on animal models, and persistent challenges, including device-to-device variability, low-input RNA handling, limited interlaboratory reproducibility, and incomplete standardization. Finally, emerging directions are discussed, including multi-organ integration, patient-specific iPSC-derived models, AI-assisted data analysis, and growing regulatory interest in New Approach Methodologies (NAMs) for safety and efficacy decision support. Together, these developments position OoC-coupled GEP as a promising but still maturing approach for translational research and personalized medicine.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100379"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394400","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}

{"title":"A comprehensive approach to airborne low-frequency acoustic field measurement using a drone-based system","authors":"Ramesh Raja Subramanyam ,&nbsp;Johan Christian van Aswegen ,&nbsp;Criostoir Gerasch ,&nbsp;Volker Wittstock ,&nbsp;Stefan Jacob","doi":"10.1016/j.sintl.2026.100384","DOIUrl":"10.1016/j.sintl.2026.100384","url":null,"abstract":"<div><div>The ability to map sound fields using airborne acoustic measurement drones opens up new opportunities for both engineering and research applications. In this study, we systematically evaluate the feasibility of drone-based acoustic measurements. Laboratory tests demonstrate that drones are well suited for low-frequency noise measurements, which are challenging for ground-based measurement systems due to the large spatial dimensions of typical noise emitters. We have developed a prototype drone system based on a correlation method between two microphones. The airborne system is validated with a controlled outdoor experiment that uses a self-calibrated low-frequency reference source. The system is capable of measuring radiation patterns and estimating the sound power level of a reference source with a deviation of less than 0.75 dB from its calibrated value following the ISO 3744 procedure. The mapped sound fields further enable source reconstruction and efficient characterization of far-field radiation. One possible application is the acoustic characterization of large energy converters, illustrated here through airborne measurements of noise produced by a wind turbine generator. Airborne acoustic measurements can, therefore, offer capabilities relevant for the commissioning and planning of industrial sites as well as for the validation of atmospheric sound propagation models.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100384"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147537867","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}

{"title":"Retraction notice to “Influence of nanotechnology to combat against COVID-19 for global health emergency: A review” [Sens. Int. 2 (2021) 100079]","authors":"Aswini Rangayasami ,&nbsp;Karthik Kannan ,&nbsp;S. Murugesan ,&nbsp;Devi Radhika ,&nbsp;Kishor Kumar Sadasivuni ,&nbsp;Kakarla Raghava Reddy ,&nbsp;Anjanapura V. Raghu","doi":"10.1016/j.sintl.2026.100383","DOIUrl":"10.1016/j.sintl.2026.100383","url":null,"abstract":"","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100383"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797908","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}

{"title":"Design, development, and analysis of an in-line capillary rheometer for melt viscosity measurement in twin-screw extrusion processes","authors":"Yasith S. Perera,&nbsp;Andrij Zadoroshnyj,&nbsp;Adrian L. Kelly,&nbsp;Jie Li,&nbsp;Chamil Abeykoon","doi":"10.1016/j.sintl.2026.100399","DOIUrl":"10.1016/j.sintl.2026.100399","url":null,"abstract":"<div><div>Polymer extrusion is a widely used manufacturing process in the plastics industry, where maintaining consistent melt viscosity is critical for achieving product quality and process stability. Conventional offline rheological measurements fail to capture dynamic viscosity variations during extrusion, limiting their use for real-time monitoring and control. This paper presents the design, development, and validation of an in-line capillary rheometer die integrated with a twin-screw extruder to enable continuous melt viscosity measurements under realistic extrusion conditions. The study provides a complete design methodology, covering the mechanical design, thermal management, and data acquisition framework of the in-line rheometer. Experimental trials were conducted using a ThermoFisher Scientific Haake PTW16 co-rotating twin-screw extruder with an extrusion-grade low-density polyethylene material. The performance of the in-line rheometer was validated by comparing its viscosity measurements with those obtained from a laboratory capillary rheometer under various screw speeds, feed rates, and temperature conditions. Results demonstrated good agreement between the two measurement methods, with deviations within ±23% across different operating conditions. The developed in-line rheometer provides real-time viscosity measurements suitable for soft sensor model development and process monitoring in twin-screw extrusion.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100399"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149211146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Selective detection of toxic Au3+ using novel dicyano-[5]helicene-based fluorescence sensor: Applications in real samples and human neuroblastoma cells","authors":"Raveewan Kittiyaphong ,&nbsp;Nirawit Kaewnok ,&nbsp;Pramsak Patawanich ,&nbsp;Pattarapapa Janthakit ,&nbsp;Vinich Promarak ,&nbsp;Anyanee Kamkaew ,&nbsp;Pattanawit Swanglap ,&nbsp;Jitnapa Sirirak ,&nbsp;Natdhera Sanmanee ,&nbsp;Krit Setthakarn ,&nbsp;Nantanit Wanichacheva","doi":"10.1016/j.sintl.2026.100372","DOIUrl":"10.1016/j.sintl.2026.100372","url":null,"abstract":"<div><div>Gold is a valuable noble metal having widespread applications across various fields. However, Au³⁺ accumulation in the human body and the environment can pose serious health and ecological risks. Therefore, effective methods for Au³⁺ detection must be developed. Herein, a fluorescence sensor was successfully synthesized, to the best of our knowledge, as the first dicyano-[5]helicene-based sensor (<strong>MP</strong>) for Au³⁺ detection. Spectroscopic techniques and single-crystal X-ray analysis were used to confirm the molecular structure and photophysical properties of <strong>MP</strong>. The sensor exhibited a large Stokes shift of 111 nm and a high fluorescence quantum yield. Upon exposure to Au³⁺ <strong>MP</strong> displayed a “turn-off” fluorescence response, which indicates its high selectivity toward Au³⁺ over other competing metal ions along with excellent sensitivity. The detection limit of <strong>MP</strong> reached 4.2 ppb, which is lower than the guideline value for Au³⁺ toxicity in freshwater environments. The sensing mechanism for Au³⁺ detection was proposed to rely on the alkynophilicity of Au³⁺, activating the triple bond and inducing hydration of the alkyne moiety. This mechanism was supported by Fourier transform infrared spectroscopy, ¹H nuclear magnetic resonance spectroscopy, high-resolution mass spectrometry, and molecular modeling. This sensor demonstrated high potential for qualitative fluorometric assays of Au³⁺ levels in diverse real samples, such as environmental water, drinking water, tap water, fertilizer solutions, cosmetic products, and human neuroblastoma cells. In addition, it could be applied for the quantitative detection of gold nanorods and further developed into a paper-based test strip for onsite Au³⁺ screening.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100372"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145975951","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}

{"title":"Primary and secondary resonance analyses of a curved microbeam for highly sensitive vacuum sensing","authors":"Zakaria Saibaa ,&nbsp;Mohamed Hemid ,&nbsp;Mehdi Ghommem ,&nbsp;Nouha Alcheikh","doi":"10.1016/j.sintl.2026.100387","DOIUrl":"10.1016/j.sintl.2026.100387","url":null,"abstract":"<div><div>Microelectromechanical systems (MEMS) resonators provide compact, low-power platforms for precision sensing; however, achieving high sensitivity across a broad pressure range remains a challenge. A low-vacuum pressure sensor is introduced in this paper, based on tracking the frequency shift of the device's primary and secondary (superharmonic) resonances. The microdevice is based on a doubly clamped, highly curved microbeam resonator fabricated via the SOI-MUMPs process and operated through AC and DC electrostatic actuations. The linear and non-linear responses of the first symmetric and first anti-symmetric modes are investigated experimentally using a Laser Doppler Vibrometer (LDV) and by tuning the AC and DC electrostatic actuations. The dynamic behavior is also confirmed through a multi-physics finite-element model (FEM). Moreover, the device's secondary (superharmonic) resonance is characterized under AC and DC electrostatic actuation. Two fundamental modes, namely the antisymmetric and symmetric modes, are consistently identified at approximately 147 kHz and 173 kHz, respectively. A secondary resonance appears near 151.5 kHz, confirming nonlinear modal coupling under high AC actuation voltages. The linear and nonlinear modal coupling between the three resonance frequencies is investigated under AC and DC electrostatic actuation to identify the optimal bias values and provide high sensitivity across the 7 – 760 Torr pressure range. By tracking the frequency shift between the primary and secondary frequency differences, the microsensor exhibits ultrahigh sensitivity within the low-vacuum regime, surpassing the state of the art. More than 50 times, sensitivity magnification is demonstrated compared to those operated based on tracking the frequency shift of the primary or secondary resonance alone. At a low-vacuum pressure range (7 – 20 Torr), the microsensor achieves a sensitivity of 1.77 <span><math><mrow><mo>×</mo></mrow></math></span> 10⁴ ppm/Torr with good linearity of R² = 0.9901. Although the present study focuses on a single-sensing application, the proposed design supports multimodal behavior, which can be further leveraged through multimodal excitation in future implementations to enable multi-sensing purposes. Hence, the demonstrated integration of geometric curvature and electrostatic actuation thus establishes a compact, low-power, and tunable framework for high-performance resonant MEMS pressure sensors.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100387"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147849985","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}

{"title":"Development of a standalone software application for the simulation and optimization of surface plasmon resonance-based biosensors","authors":"Innocent Kadaleka Phiri ,&nbsp;Mohssin Zekriti ,&nbsp;Tijani Bounahmidi","doi":"10.1016/j.sintl.2025.100352","DOIUrl":"10.1016/j.sintl.2025.100352","url":null,"abstract":"<div><div>Surface Plasmon Resonance (SPR) has emerged as a powerful biosensing technique, enabling real-time, label-free detection of target biomolecules with high sensitivity. However, the design and optimization of SPR-based biosensors remain challenging, requiring both theoretical expertise and access to specialized simulation tools. The growing demand for these biosensors highlights the need for advanced features and capabilities, such as automated computation of key biosensing metrics, user interactivity, real-time visualization, and dataset generation for machine learning applications. These capabilities are often lacking or scattered across different existing simulation platforms. To address this gap, we developed ‘SPR-Soft’, a new, standalone, PC-based software application for SPR biosensor simulation and optimization. Based on the Transfer Matrix Method (TMM), SPR-Soft features a user-friendly graphical interface that allows real-time input adjustments, live visualization of reflectivity/transmissivity curves, and automated computation of key performance metrics including sensitivity, Full Width at Half Maximum (FWHM), Detection Accuracy (DA), Figure of Merit (FoM), minimum reflectivity (R_min), and Field Enhancement (FE). Additionally, the software includes a dataset generation module to support machine learning-based applications in biosensor design. SPR-Soft's accuracy was validated through comparison with published simulation data and benchmarked against existing tools. A case study is also presented, demonstrating the software's capabilities by optimizing a gold-silver alloy-based SPR biosensor, achieving enhanced performance: sensitivity of 342°/RIU, FoM of 53.12/RIU, and R_min of 0.017 a.u. This development addresses long-standing limitations in biosensor modelling tools, improves research efficiency, enhances accessibility for non-expert users, and ultimately, supports the United Nations Sustainable Development Goals (SDGs #3 and #9).</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100352"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362185","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}

{"title":"Wearable sensors in Industry 4.0: Preventing work-related musculoskeletal disorders","authors":"Morteza Jalali Alenjareghi,&nbsp;Firdaous Sekkay,&nbsp;Camelia Dadouchi,&nbsp;Samira Keivanpour","doi":"10.1016/j.sintl.2025.100343","DOIUrl":"10.1016/j.sintl.2025.100343","url":null,"abstract":"<div><div>Work-related musculoskeletal disorders (WMSDs) are a global health and economic challenge, particularly in industrialized nations, accounting for up to 2 % of GDP losses due to disability and productivity reduction. Wearable sensors, driven by Industry 4.0 advancements, offer transformative potential for real-time ergonomic assessment and injury prevention. This systematic review analyzes 40 peer-reviewed studies (2013–2024) to evaluate the application of inertial measurement units (IMUs), electromyography (EMG) sensors, and pressure sensors in mitigating WMSD risks. Findings demonstrate that wearable technologies enhance workplace safety through real-time feedback, reducing ergonomic risks and improving productivity. Despite promising advancements, challenges such as scalability, user comfort, and data privacy persist. This review emphasizes the need for standardized protocols, ethical frameworks, and deeper integration with machine learning to optimize sensor accuracy and usability. Future research directions include advancing AI-driven predictive ergonomics, addressing privacy concerns, and improving sensor design for widespread industrial adoption. This study provides actionable insights to bridge the gap between academic research and practical deployment in diverse industrial settings.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100343"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144563796","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}

{"title":"Retraction notice to “Mathematical transmission analysis of SEIR tuberculosis disease model” [Sens. Int. 2 (2021) 100120]","authors":"Kalyan Das ,&nbsp;B.S.N. Murthy ,&nbsp;Sk Abdus Samad ,&nbsp;Md Haider Ali Biswas","doi":"10.1016/j.sintl.2026.100382","DOIUrl":"10.1016/j.sintl.2026.100382","url":null,"abstract":"","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100382"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797909","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}