Advanced Sensor Research最新文献_第5页

Towards Neural-Network-Based Optical Temperature Sensing of Semiconductor Membrane External Cavity Laser 基于神经网络的半导体膜外腔激光器光学温度传感研究

IF 3.5

Advanced Sensor Research Pub Date : 2025-06-09 DOI: 10.1002/adsr.70009

Jakob Mannstadt, Arash Rahimi-Iman

{"title":"Towards Neural-Network-Based Optical Temperature Sensing of Semiconductor Membrane External Cavity Laser","authors":"Jakob Mannstadt, Arash Rahimi-Iman","doi":"10.1002/adsr.70009","DOIUrl":"10.1002/adsr.70009","url":null,"abstract":"A machine-learning (ML) non-contact method to determine the temperature of a laser gain medium via its laser emission with a trained few-layer neural-network (NN) model is presented. The training of the feed-forward NN enables the prediction of the device's properties solely from spectral data, here recorded by visible-/nearinfrared-light (VIS/NIR) compact micro-spectrometers for both a diode pump laser and optically-pumped gain membrane of a semiconductor disk laser. Fiber spectrometers are used for the acquisition of large quantities of labeled intensity data, which can afterwards be used for the prediction process. Such pretrained deep NNs enable a fast, reliable and easy way to infer the temperature of a laser system such as our Membrane External Cavity Laser, at a later monitoring stage without the need of additional optical diagnostics or read-out temperature sensors. With the miniature mobile spectrometer and the remote detection ability, the temperature inference capability can be adapted for various laser diodes using transfer learning methods with pretrained models. Here, mean-square-error (mse) values for the temperature inference corresponding to sub-percent accuracy of our sensor scheme are reached, while computational cost can be saved by reducing the network depth at the here displayed cost of accuracy, as appropriate for different application scenarios.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 8","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.70009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145135380","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-Virus Stochastic Biosensing: Proof of Concept for SARS-CoV-2 Detection in Complex Medium Using CMOS-Based Nanocapacitor Arrays 单病毒随机生物传感：利用基于cmos的纳米电容器阵列在复杂介质中检测SARS-CoV-2的概念证明

IF 3.5

Advanced Sensor Research Pub Date : 2025-06-08 DOI: 10.1002/adsr.202400193

Suryasnata Tripathy, Mohammad Saghafi, Sudip Kumar Dutta, Stijn van der Ham, Diogenis Salvanos, Cecilia Laborde, Byron Martina, Serge G. Lemay

{"title":"Single-Virus Stochastic Biosensing: Proof of Concept for SARS-CoV-2 Detection in Complex Medium Using CMOS-Based Nanocapacitor Arrays","authors":"Suryasnata Tripathy, Mohammad Saghafi, Sudip Kumar Dutta, Stijn van der Ham, Diogenis Salvanos, Cecilia Laborde, Byron Martina, Serge G. Lemay","doi":"10.1002/adsr.202400193","DOIUrl":"10.1002/adsr.202400193","url":null,"abstract":"Stochastic detection opens a promising window toward improved biosensing assays, despite the challenges posed by the unpredictable behavior of nanoscale entities as well as interference from the target medium. This study presents a novel proof of concept for label-free detection of single virus particles in complex media at physiological salt concentrations using stochastic electrochemical impedance. SARS-CoV-2 particles are successfully detected in cell culture medium using thiolated aptamers that selectively bind to the virus's spike S1 proteins, enabling the identification of individual viral particles. Stochastic biosensing, which relies on large datasets, is powered here by CMOS-based nanocapacitor arrays with 65536 individually addressable electrodes serving as electrochemical transducers. This configuration allows for high-frequency impedance measurements under physiological conditions, demonstrating the potential for scalable, real-time, label-free virus detection.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 8","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400193","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145135362","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

Exploring Gelatin-A and Mouse Proline-Rich Protein 5 as Probes for Wine Polyphenol Analysis by Quartz Crystal Microbalance with Dissipation Monitoring 石英晶体微天平耗散监测明胶- a和小鼠富含脯氨酸蛋白5作为酒多酚分析探针的探索

IF 3.5

Advanced Sensor Research Pub Date : 2025-06-05 DOI: 10.1002/adsr.202400140

Giorgia Tori, Mariacristina Gagliardi, Francesco Lunardelli, Chiara Sanmartin, Isabella Taglieri, Gianmarco Alfieri, Margherita Modesti, Domenica Convertino, Andrea Bellincontro, Fabio Mencarelli, Marco Cecchini

{"title":"Exploring Gelatin-A and Mouse Proline-Rich Protein 5 as Probes for Wine Polyphenol Analysis by Quartz Crystal Microbalance with Dissipation Monitoring","authors":"Giorgia Tori, Mariacristina Gagliardi, Francesco Lunardelli, Chiara Sanmartin, Isabella Taglieri, Gianmarco Alfieri, Margherita Modesti, Domenica Convertino, Andrea Bellincontro, Fabio Mencarelli, Marco Cecchini","doi":"10.1002/adsr.202400140","DOIUrl":"10.1002/adsr.202400140","url":null,"abstract":"Polyphenols are significant compounds that impact the winemaking process, influencing key attributes such as wine quality, color, astringency, bitterness, and chemical stability. Traditionally, the wine polyphenolic content is assessed through conventional analytical methods, which are costly and time-consuming. Thus, developing novel strategies to overcome these limitations is highly desirable. Quartz Crystal Microbalance with Dissipation Monitoring (QCM-D) is an electromechanical sensor that has gained broad recognition as a fast, reliable, and label-free detection tool. The QCM-D is employed to investigate Gelatin Type A (Gel-A) and Mouse Proline-Rich Protein 5 (MP5) as probes for analyzing polyphenols in red wines. The probes have been successfully immobilized on the sensor surface, yielding molecular densities of 2.1 × 1014 and 5.1 × 1012 molecules cm−2 for MP5 and Gel-A, respectively. Both probes have shown promising performance in the analysis of polyphenols in wine, with both changes in the sensor's resonance frequency and dissipation with all tested samples. Notably, using MP5, a linear response of the dissipation has been observed with both the total polyphenol and hydroxybenzoic acid concentrations. These results indicate strong potential for developing a stand-alone sensor platform to directly monitor polyphenols during the winemaking process.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 8","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400140","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145135242","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

Colorimetric Sensors with Enhanced Sensitivity and Angle-independence 具有增强灵敏度和角度无关性的比色传感器

IF 3.5

Advanced Sensor Research Pub Date : 2025-06-04 DOI: 10.1002/adsr.70014

Hiu Ning Tiffany Chui, Shu Yang

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

IF 3.5

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":"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":3.5,"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

IF 3.5

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":"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":3.5,"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

IF 3.5

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":"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":3.5,"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

IF 3.5

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":"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":3.5,"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

Non-Invasive Diagnosis of Hypertrophic Cardiomyopathy by Breath 呼吸法无创诊断肥厚性心肌病

IF 3.5

Advanced Sensor Research Pub Date : 2025-05-19 DOI: 10.1002/adsr.70012

Yael Hershkovitz-Pollak, Manhal Habib, Yoav Y. Broza, Olga Katz, Harry Rakowski, Hossam Haick

{"title":"Non-Invasive Diagnosis of Hypertrophic Cardiomyopathy by Breath","authors":"Yael Hershkovitz-Pollak, Manhal Habib, Yoav Y. Broza, Olga Katz, Harry Rakowski, Hossam Haick","doi":"10.1002/adsr.70012","DOIUrl":"10.1002/adsr.70012","url":null,"abstract":"Undetected in many patients, hypertrophic cardiomyopathy (HCM) is a widespread genetic heart disorder. Conventional diagnosis is based on physiological metrics such as blood pressure, imaging techniques, and genetic testing. Detection of HCM is crucial for proper follow-up, family screening, early treatment, and risk stratification to prevent sudden cardiac death. Therefore, there is an unmet need for fast and reliable diagnostic methods. This study introduces an innovative approach for the noninvasive, rapid, and accurate diagnosis of HCM by detecting patterns of volatile organic compounds (VOCs) in the patient's breath. Breath from 157 volunteers is collected on sorbent tubes and analyzed using a two-step approach, gas chromatography-mass spectrometry (GC-MS), and a developed nano-based sensor array. Initially, statistically significant differences in VOC patterns among sampled groups are identified using GC-MS. Then, the sensor array is used to differentiate between HCM patients and controls, resulting in the testing set, with 92.9% accuracy, 75% specificity, and 94.7% sensitivity. The sensors can further classify subcategories of HCM with >70.3% accuracy for all cases in the testing set. These findings show the applicability of the sensors setup and suggest that VOCs may be a promising noninvasive and real-time HCM diagnosis option.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 7","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.70012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598321","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

Cost-Effective Hierarchical Cobalt Nanostructured Laser-Induced Graphene for Enhanced Uric Acid Detection 具有成本效益的分层钴纳米结构激光诱导石墨烯增强尿酸检测

IF 3.5

Advanced Sensor Research Pub Date : 2025-05-19 DOI: 10.1002/adsr.70003

Anju Joshi, Gymama Slaughter

{"title":"Cost-Effective Hierarchical Cobalt Nanostructured Laser-Induced Graphene for Enhanced Uric Acid Detection","authors":"Anju Joshi, Gymama Slaughter","doi":"10.1002/adsr.70003","DOIUrl":"10.1002/adsr.70003","url":null,"abstract":"This study presents an innovative, cost-effective strategy to develop a flexible, enzyme-free biosensor for the sensitive detection of uric acid (UA). Utilizing electrochemically modified cobalt nanostructured on laser-induced graphene electrodes (CoNCs/LIG), this approach surpasses traditional noble metal-based electrocatalysts in sensitivity and affordability. The one-step electrochemical modification method is efficient and straightforward, enabling the uniform deposition of hierarchical flower-like cobalt nanostructures. These structures synergistically enhance the performance of the LIG, resulting in a broad detection range of 5 to 700 µM with a sensitivity of 6.75 µA µM−1 cm−2 and a low detection limit of 3.66 µM for UA. The morphology and elemental composition of the CoNCs/LIG electrodes are characterized using scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS). Beyond sensitivity, the sensor exhibited excellent selectivity, reliably resisting interference from competing biologically species such as ascorbic acid, dopamine, glycine, and glucose. Clinical utility is demonstrated in serum and artificial urine samples, achieving recovery rates ranging from (102.47%–104.46%). This work highlights the exceptional electrocatalytic efficiency of CoNCs/LIG-based flexible biosensors, offering a highly sensitive, selective, and cost-effective platform for UA detection, with promising applications in clinical diagnostics and health monitoring.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 7","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.70003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598310","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