Advanced Sensor Research最新文献

Ammonia Dynamics in the Human Body: Insights in Biomedical Sensing Technologies (Adv. Sensor Res. 7/2025) 人体氨动力学：生物医学传感技术的见解（ad . Sensor Res. 7/2025）

Advanced Sensor Research Pub Date : 2025-07-10 DOI: 10.1002/adsr.70037

Annelot Nijkoops, Manuela Ciocca, Martina Aurora Costa Angeli, Silvia Pogliaghi, Soufiane Krik, Enrico Avancini, Niko Münzenrieder, Paolo Lugli, Luisa Petti

引用次数: 0

Issue Information (Adv. Sensor Res. 7/2025) 发布信息（rev . Sensor Res. 7/2025）

Advanced Sensor Research Pub Date : 2025-07-10 DOI: 10.1002/adsr.70038

引用次数: 0

Zero-Power, Optical Toxic Gas and Vapor Sensors Utilizing Printed Nematic Liquid Crystal Patterns on Selectively Reactive Substrates (Adv. Sensor Res. 6/2025) 零功率，光学有毒气体和蒸汽传感器，利用印刷向列液晶图案在选择性反应基板上（ad . Sensor Res. 6/2025）

Advanced Sensor Research Pub Date : 2025-06-12 DOI: 10.1002/adsr.70023

Ryan A. Williams, Grace A. R. Rohaley, Ashwathanarayana Gowda, Gisele Pegorin, Andrea Oprandi, Denis Motovilov, Anthony Schneider, Elda Hegmann, Marianne E. Prévôt, Torsten Hegmann

引用次数: 0

Microwave Monitoring by Compact Carbon Nanotube Photo-Thermoelectric Sensors Beyond the Diffraction Limit Toward Ultrabroadband Non-Destructive Inspections (Adv. Sensor Res. 6/2025) 超绕线型碳纳米管光热电传感器在超宽带无损检测中的微波监测（ad . Sensor Res. 6/2025）

Advanced Sensor Research Pub Date : 2025-06-12 DOI: 10.1002/adsr.70021

Qi Zhang, Honghao Li, Ryo Koshimizu, Norika Takahashi, Yuya Kinoshita, Asumi Sano, Junyu Jin, Hiroki Okawa, Yuto Matsuzaki, Daiki Shikichi, Yukio Kawano, Kou Li

引用次数: 0

Issue Information (Adv. Sensor Res. 6/2025) 发布信息（Adv. Sensor Res. 6/2025）

Advanced Sensor Research Pub Date : 2025-06-12 DOI: 10.1002/adsr.70022

引用次数: 0

Microneedles for Continuous, Minimally Invasive Monitoring: A Technology Overview 用于连续、微创监测的微针：技术综述

Advanced Sensor Research Pub Date : 2025-06-09 DOI: 10.1002/adsr.202500057

Guillermo Conejo-Cuevas, Miguel Aller Pellitero, Leire Ruiz-Rubio, Francisco Javier del Campo

{"title":"Microneedles for Continuous, Minimally Invasive Monitoring: A Technology Overview","authors":"Guillermo Conejo-Cuevas, Miguel Aller Pellitero, Leire Ruiz-Rubio, Francisco Javier del Campo","doi":"10.1002/adsr.202500057","DOIUrl":"https://doi.org/10.1002/adsr.202500057","url":null,"abstract":"Microneedles are small piercing structures, with sizes in the micron-to-millimeter range, designed to penetrate painlessly the outer skin layer, known as stratum corneum, providing minimally invasive access to interstitial fluid (ISF), which enables the monitoring of biochemical parameters in real-time. This review covers recent progress to date in the area of electrochemical sensing using microneedles, and provides an overview of fabrication materials and processes, as well as applications. The main body of the review focuses on the fabrication of microneedle structures and their transformation into electrochemical biosensors for continuous monitoring. To this end, the main recognition elements and electrode functionalization ways are described, paying closer attention to aptamers and continuous aptamer-based sensing, whose importance, merits, and limitations are highlighted. In addition to covering the main current applications, the review discusses the future threats and opportunities of microneedle-based in vivo monitoring.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202500057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598623","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}

引用次数: 0

Machine Learning Enhanced Multimodal Bioelectronics: Advancement Toward Intelligent Healthcare Systems 机器学习增强多模态生物电子学：迈向智能医疗保健系统

Advanced Sensor Research Pub Date : 2025-06-02 DOI: 10.1002/adsr.202500028

Myoungjae Oh, Enji Kim, Jakyoung Lee, Inhea Jeong, Eunmin Kim, Joonho Paek, Taekyeong Lee, Dayeon Kim, Seung Hyun An, Sumin Kim, Jung Ah Lim, Jang-Ung Park

{"title":"Machine Learning Enhanced Multimodal Bioelectronics: Advancement Toward Intelligent Healthcare Systems","authors":"Myoungjae Oh, Enji Kim, Jakyoung Lee, Inhea Jeong, Eunmin Kim, Joonho Paek, Taekyeong Lee, Dayeon Kim, Seung Hyun An, Sumin Kim, Jung Ah Lim, Jang-Ung Park","doi":"10.1002/adsr.202500028","DOIUrl":"https://doi.org/10.1002/adsr.202500028","url":null,"abstract":"Multimodal bioelectronics has enabled comprehensive understanding of complex biological states by capturing diverse biosignals and interacting with the physiological changes with the biological environment. These systems are categorized into multi-sensing devices, which collect and analyze multiple biosignals concurrently, and multifunctional devices, which provide dynamic feedback through mechanisms such as drug release, electrical stimulation, and mechanical actuation. However, the acquisition and integrated analysis of heterogeneous data from these biosensors pose significant computational challenges, necessitating advanced analytical frameworks to extract meaningful insights. Machine learning has emerged as an essential tool for data interpretation and real-time decision-making through addressing challenges in broad data integration, feature extraction, and predictive modeling. Implementation of machine learning to multimodal devices extend their capabilities beyond conventional biosensors, performing crossmodal correlation analysis, real-time anomaly detection, and situation-dependent feedback. This review explores recent progress in multimodal bioelectronics and the integration of machine learning in multimodal bioelectronics. Moreover, evaluations of various machine learning applications are conducted by discussing key advancements, challenges, and future research directions in intelligent multimodal biosensor technology, which holds immense potential to revolutionize biomedical applications, facilitating the development of autonomous and responsive health monitoring systems.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202500028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598488","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}

引用次数: 0

Metal-Free Raman Sensing Platforms of Organic Nanowire Arrays Produced by High Energy Charged Particles 高能带电粒子制备有机纳米线阵列的无金属拉曼传感平台

Advanced Sensor Research Pub Date : 2025-06-02 DOI: 10.1002/adsr.202500042

Masaki Nobuoka, Shugo Sakaguchi, Yusuke Tsutsui, Akie Taguchi, Makito Takagi, Tomomi Shimazaki, Masanori Tachikawa, Akira Idesaki, Tetsuya Yamaki, Devesh Kumar Avasthi, Merry Gupta, Ramcharan Meena, Ambuj Tripathi, Shu Seki

{"title":"Metal-Free Raman Sensing Platforms of Organic Nanowire Arrays Produced by High Energy Charged Particles","authors":"Masaki Nobuoka, Shugo Sakaguchi, Yusuke Tsutsui, Akie Taguchi, Makito Takagi, Tomomi Shimazaki, Masanori Tachikawa, Akira Idesaki, Tetsuya Yamaki, Devesh Kumar Avasthi, Merry Gupta, Ramcharan Meena, Ambuj Tripathi, Shu Seki","doi":"10.1002/adsr.202500042","DOIUrl":"https://doi.org/10.1002/adsr.202500042","url":null,"abstract":"An organic nanowire fabrication technique, i.e., single-particle-triggered linear polymerization, which yields nanowires consisting of a wide range of organic molecules with perfectly controlled sizes, is developed via chemical reactions induced by a high-energy charged particle. A freestanding purely organic nanowire array (ONA) structure is fabricated to maximize the surface area with the designed surface affinity for analyte molecules. The ONA is demonstrated as an effective sensing platform for Raman spectroscopy with a high enough sensitivity against a series of analytes including rhodamine, crystal violet, methylene blue, neutral red, methyl orange, as well as oligopeptides. The designed electron transfer reactions between the analytes and nanowires provide Raman signal enhancement factors of up to 108 with the detection limit of the analytes as 10−9 M for the rhodamine, indicating the viability of these ONAs as a novel class of metal-free Raman sensing probes.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202500042","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598354","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}

引用次数: 0

Single-Layer Radially Compartmentalized Paper Chip (RCP-Chip) for Rapid Isothermal Multiplex Detection of SARS-CoV-2 Gene Targets 单层径向区隔纸芯片（RCP-Chip）用于SARS-CoV-2基因靶点的快速等温多重检测

Advanced Sensor Research Pub Date : 2025-06-01 DOI: 10.1002/adsr.70010

Pavithra Sukumar, Alla Saleh, Muhammedin Deliorman, Mohammad A. Qasaimeh

{"title":"Single-Layer Radially Compartmentalized Paper Chip (RCP-Chip) for Rapid Isothermal Multiplex Detection of SARS-CoV-2 Gene Targets","authors":"Pavithra Sukumar, Alla Saleh, Muhammedin Deliorman, Mohammad A. Qasaimeh","doi":"10.1002/adsr.70010","DOIUrl":"https://doi.org/10.1002/adsr.70010","url":null,"abstract":"The study presents the development of a radially compartmentalized paper chip (RCP-Chip) designed for the rapid detection of multiple gene targets of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay. The RCP-Chip features reaction chambers for multiplexing, fluidic resistors to prevent backflow, fluidic ports for excess fluid venting, and an outer ring to contain overflowing fluids, all within a single-layer cellulose paper platform. Optimization results successfully achieve a color readout sensitivity of 10 copies µL−1 RNA spiked in water (singleplex device) and 2040 copies µL−1 RNA spiked saliva samples (multiplex device). The chip demonstrates the capability to simultaneously detect the envelope (E) and nucleocapsid (N) genes of SARS-CoV-2 in a single run. Remarkably, the RCP-Chip technology enables rapid qualitative amplification of SARS-CoV-2 RNA in as little as 4 min using pH-based assay. It further enhances this visual detection by implementing in situ synthesis of gold nanoparticles (AuNPs) within the single-layer paper platform, achieving a total assay time of 9 min. The adaptability of RCP-Chip can extend beyond SARS-CoV-2 detection: It can be modified and optimized for detecting gene targets of other microbial pathogens across diverse environments pertaining to cause diseases.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.70010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598173","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}

引用次数: 0

Intelligent Eye Tracker Integrated with Cylindrical Capacitive Sensors for Chronic Fatigue Assessment 集成圆柱形电容传感器的智能眼动仪用于慢性疲劳评估

Advanced Sensor Research Pub Date : 2025-05-22 DOI: 10.1002/adsr.202500027

Tianyi Li, Seo-Hyun Park, Changwoo Lee, Shawn Kim, Younghoon Kwon, Hojun Kim, Jae-Hyun Chung

{"title":"Intelligent Eye Tracker Integrated with Cylindrical Capacitive Sensors for Chronic Fatigue Assessment","authors":"Tianyi Li, Seo-Hyun Park, Changwoo Lee, Shawn Kim, Younghoon Kwon, Hojun Kim, Jae-Hyun Chung","doi":"10.1002/adsr.202500027","DOIUrl":"https://doi.org/10.1002/adsr.202500027","url":null,"abstract":"Fatigue negatively impacts health, safety, and productivity, yet current monitoring methods are often subjective, labor-intensive, and inaccurate. To address these challenges, this study presents a capacitive sensor-based eye tracker (ET) leveraging cylindrical carbon nanotube-paper composite (CCPC) sensors for chronic fatigue (CF) assessment. Fabricated by novel wet-fracture and paper-rolling methods, CCPC sensors demonstrate superior proximity sensitivity with a small form factor. These 1D sensors are seamlessly integrated into an eyeglass frame for noncontact monitoring of blink rates and eye closures. Fifteen-minute testing protocol, combining cognitive tasks and noise exposure, is designed to induce acute fatigue and identify CF. By analyzing changes in the digital markers against established fatigue indicators, CF is assessed with the aid of machine learning models for the evaluation of accuracy, sensitivity, and specificity. This real-time, wearable monitoring platform provides an objective, effortless, and noncontact approach to fatigue assessment. With further testing and optimization, it holds the potential for user-friendly evaluation of acute fatigue or fatigue-associated diseases, such as myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202500027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598340","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}

引用次数: 0