Analysis & sensing最新文献

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Front Cover: Titanium Mxene: A Promising Material for Next-Generation Optical Biosensors and Machine Learning Integration (Anal. Sens. 2/2025) 封面二茂钛:下一代光学生物传感器和机器学习集成的前景看好的材料(Anal. Sens.)
IF 3.4
Analysis & sensing Pub Date : 2025-03-10 DOI: 10.1002/anse.202580201
Athulya Aravind, Durgalakshmi Dhinasekaran, Ajay Rakkesh Rajendran
{"title":"Front Cover: Titanium Mxene: A Promising Material for Next-Generation Optical Biosensors and Machine Learning Integration (Anal. Sens. 2/2025)","authors":"Athulya Aravind,&nbsp;Durgalakshmi Dhinasekaran,&nbsp;Ajay Rakkesh Rajendran","doi":"10.1002/anse.202580201","DOIUrl":"https://doi.org/10.1002/anse.202580201","url":null,"abstract":"<p><b>2D MXenes</b> offer exceptional advancements in biosensing owing to their tunable optical properties with large surface area of interaction and hydrophilicity. This revolutionizes the biosensing of analytes using advanced sensing modes such as surface enhanced Raman scattering (SERS), surface plasmon resonance (SPR), and colorimetry with high selectivity and sensitivity in biomedical application. More in the Review by Durgalakshmi Dhinasekaran and co-workers.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </p>","PeriodicalId":72192,"journal":{"name":"Analysis & sensing","volume":"5 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/anse.202580201","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581329","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
Front Cover: Metal-Organic Frameworks (MOFs) for Glucose Sensing: Advancing Non-Invasive Detection Strategies in Diabetes Management (Anal. Sens. 1/2025)
IF 3.4
Analysis & sensing Pub Date : 2025-01-13 DOI: 10.1002/anse.202580101
P. N. Blessy Rebecca, D. Durgalakshmi, R. Ajay Rakkesh
{"title":"Front Cover: Metal-Organic Frameworks (MOFs) for Glucose Sensing: Advancing Non-Invasive Detection Strategies in Diabetes Management (Anal. Sens. 1/2025)","authors":"P. N. Blessy Rebecca,&nbsp;D. Durgalakshmi,&nbsp;R. Ajay Rakkesh","doi":"10.1002/anse.202580101","DOIUrl":"https://doi.org/10.1002/anse.202580101","url":null,"abstract":"<p><b>Metal-organic frameworks</b> (MOFs) offer an impeccable platform for glucose sensing, contributing in both enzymatic- and non-enzymatic-based electrochemical detection. Comprising metal ions and organic ligands, MOFs with their exceptional properties including tunable porosity, high surface area, diverse structural configuration, strong adsorptive capacity, electrocatalytic behavior, and abundant active sites pave way for improving healthcare diagnostics. More in the Review by R. Ajay Rakkesh and co-workers.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </p>","PeriodicalId":72192,"journal":{"name":"Analysis & sensing","volume":"5 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/anse.202580101","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114926","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
Titanium Mxene: A Promising Material for Next-Generation Optical Biosensors and Machine Learning Integration 二茂钛:下一代光学生物传感器和机器学习集成的理想材料
IF 3.4
Analysis & sensing Pub Date : 2024-11-28 DOI: 10.1002/anse.202400095
Athulya Aravind, Durgalakshmi Dhinasekaran, Ajay Rakkesh Rajendran
{"title":"Titanium Mxene: A Promising Material for Next-Generation Optical Biosensors and Machine Learning Integration","authors":"Athulya Aravind,&nbsp;Durgalakshmi Dhinasekaran,&nbsp;Ajay Rakkesh Rajendran","doi":"10.1002/anse.202400095","DOIUrl":"https://doi.org/10.1002/anse.202400095","url":null,"abstract":"<p>Nano biosensors based on MXenes have been emerging as a promising tool in the detection of biomarkers, for the discrimination of diseases and in the detection of environmental pollutants. Their potential in sensing applications has also drawn a lot of attention to their unique qualities such as their high conductivity, huge surface area, outstanding hydrophilicity, biocompatibility, and simplicity of surface functionalization. The development of scalable synthesis techniques is essential to the large-scale manufacturing and broad application of MXene-based sensors. Furthermore, the stability of the MXene layers in diverse environmental circumstances continues to be a difficulty for their practical application. To increase the dependability and precision of MXene-based sensors, their selectivity must be increased through functionalization and tuning. With innovative technologies like machine learning, MXene biosensor is now taken advantage of new opportunities. Personalized healthcare solutions, remote data analysis, and real-time monitoring are all possible when MXene sensors and AI algorithms work together. Herein, the optical properties, synthesis approaches, role of MXene biosensors in machine learning, its significant challenges and future prospects of MXene-based nano(bio)sensors are deliberated.</p>","PeriodicalId":72192,"journal":{"name":"Analysis & sensing","volume":"5 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143582067","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
Front Cover: Signal Amplification by Reversible Exchange and its Translation to Hyperpolarized Magnetic Resonance Imaging in Biomedicine (Anal. Sens. 6/2024) 封面:可逆交换的信号放大及其在生物医学超极化磁共振成像中的应用(Anal. Sens.)
IF 3.4
Analysis & sensing Pub Date : 2024-11-15 DOI: 10.1002/anse.202480601
Dr. Andreas B. Schmidt, Prof. Dr. Eduard Y. Chekmenev, Henri de Maissin, Philipp R. Groß, Stefan Petersen, Luca Nagel, Prof. Dr. Franz Schilling, Dr. Ilai Schwartz, Prof. Dr. Thomas Reinheckel, Prof. Dr. Jan-Bernd Hövener, Dr. Stephan Knecht
{"title":"Front Cover: Signal Amplification by Reversible Exchange and its Translation to Hyperpolarized Magnetic Resonance Imaging in Biomedicine (Anal. Sens. 6/2024)","authors":"Dr. Andreas B. Schmidt,&nbsp;Prof. Dr. Eduard Y. Chekmenev,&nbsp;Henri de Maissin,&nbsp;Philipp R. Groß,&nbsp;Stefan Petersen,&nbsp;Luca Nagel,&nbsp;Prof. Dr. Franz Schilling,&nbsp;Dr. Ilai Schwartz,&nbsp;Prof. Dr. Thomas Reinheckel,&nbsp;Prof. Dr. Jan-Bernd Hövener,&nbsp;Dr. Stephan Knecht","doi":"10.1002/anse.202480601","DOIUrl":"https://doi.org/10.1002/anse.202480601","url":null,"abstract":"<p><b>Metabolic MRI</b> is a powerful new molecular imaging modality, and parahydrogen-based SABRE technology presents a promising approach to hyperpolarize metabolites with high throughput, low cost, and minimal methodological and instrumental burden. In the Concept Article by Andreas B. Schmidt, Stephan Knecht, and co-workers key advances are reviewed that have recently enabled the first in vivo metabolic imaging with hyperpolarized pyruvate using SABRE.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </p>","PeriodicalId":72192,"journal":{"name":"Analysis & sensing","volume":"4 6","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/anse.202480601","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642090","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
MAGPIX Assay for Influenza A Using Single Domain Antibodies
IF 3.4
Analysis & sensing Pub Date : 2024-11-05 DOI: 10.1002/anse.202400075
Dr. Ellen R. Goldman, Dr. Victor A. Sugiharto, Lisa C. Shriver-Lake, Andrew M. Garcia, Dr. Shuenn-Jue Wu, Dr. Sarah A. Jenkins, Dr. Hua-Wei Chen
{"title":"MAGPIX Assay for Influenza A Using Single Domain Antibodies","authors":"Dr. Ellen R. Goldman,&nbsp;Dr. Victor A. Sugiharto,&nbsp;Lisa C. Shriver-Lake,&nbsp;Andrew M. Garcia,&nbsp;Dr. Shuenn-Jue Wu,&nbsp;Dr. Sarah A. Jenkins,&nbsp;Dr. Hua-Wei Chen","doi":"10.1002/anse.202400075","DOIUrl":"https://doi.org/10.1002/anse.202400075","url":null,"abstract":"<p>Single domain antibodies (sdAbs) provide versatile binding reagents that offer advantages over conventional antibodies for use in immunoassays. SdAbs consist of the ~15 kDa variable heavy domain from the heavy chain-only antibodies found in camelids and can be engineered for integration in a variety of immunoassay formats. The Luminex MAGPIX instrument is a high-throughput platform that uses color-coded MagPlex beads to enable multiplexed immunoassays and is relatively fast and simple. We developed a MagPlex bead-based assay for the detection of influenza A virus (IAV), using sdAbs against IAV nucleoprotein (NP). To provide sensitive detection, the sdAbs were formatted into bivalent constructs; and the capture reagent was tailored to provide oriented immobilization on the bead. Using the best capture and reporter pair, we achieved detection of recombinant NP down to 1 ng/mL. Finally, we demonstrated that the developed immunoassay showed promise in detecting IAV in clinical samples.</p>","PeriodicalId":72192,"journal":{"name":"Analysis & sensing","volume":"5 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/anse.202400075","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581538","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
Electrochemical Sensing of Paracetamol Using Functionalized MWCNTs: Integrating Computational and Experimental Methods
IF 3.4
Analysis & sensing Pub Date : 2024-10-30 DOI: 10.1002/anse.202400098
Amit Lochab, Shefali Baweja, Kajal Jindal, Arijit Chowdhuri, Monika Tomar, Reena Saxena
{"title":"Electrochemical Sensing of Paracetamol Using Functionalized MWCNTs: Integrating Computational and Experimental Methods","authors":"Amit Lochab,&nbsp;Shefali Baweja,&nbsp;Kajal Jindal,&nbsp;Arijit Chowdhuri,&nbsp;Monika Tomar,&nbsp;Reena Saxena","doi":"10.1002/anse.202400098","DOIUrl":"https://doi.org/10.1002/anse.202400098","url":null,"abstract":"<p>An electrochemical sensing platform for the detection of paracetamol is proposed in this work. The sensor (Asp-MWCNTs/IL/ITO) is based on Indium Tin Oxide (ITO) electrode loaded with asparagine functionalised Multi Walled Carbon Nanotubes (MWCNTs) and Ionic Liquid (IL). Initially, <i>in-silico</i> studies were performed to check the favourable interaction of the drug with the nanocomposite. The potential energy surface of Asp-MWCNTs and paracetamol complexes were explored using density functional theory and single-point energy coupled cluster calculations. The analysis of non-covalent interactions showed hydrogen bonding interactions predominantly stabilising the complex. The interaction process between Asp-MWCNTs and paracetamol is spontaneous due to negative value of binding energy (−0.75 eV). The functionalised MWCNTs were characterised through different techniques. Asp-MWCNTs/IL/ITO electrode showed good sensitivity with a linear range from 20–300 μgL<sup>−1</sup> and limit of detection of 0.0194 μM for paracetamol in phosphate buffer as supporting electrolyte. The sensor showed excellent repeatability and reproducibility with a relative standard deviation of 1.45 % at 60 μgL<sup>−1</sup> concentration. The chemical functionalization resulted in providing extra stability as it retained 95 % of its signal response even after 45 days. The sensor's applicability was tested in real water samples with the help of spiking study which showed good recovery &gt;95 %.”</p>","PeriodicalId":72192,"journal":{"name":"Analysis & sensing","volume":"5 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143582074","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 Untargeted Puff-by-Puff Analysis of (Electronic) Cigarette Emissions by Concentric Dielectric Barrier Discharge Ionisation Mass Spectrometry
IF 3.4
Analysis & sensing Pub Date : 2024-10-27 DOI: 10.1002/anse.202400079
Yong-Qi Gao, Dr. Natalia Gasilova, Dr. Jan-Christoph Wolf, Dr. Luc Patiny, Dr. Laure Menin, Dr. Maria Pavlou
{"title":"Rapid Untargeted Puff-by-Puff Analysis of (Electronic) Cigarette Emissions by Concentric Dielectric Barrier Discharge Ionisation Mass Spectrometry","authors":"Yong-Qi Gao,&nbsp;Dr. Natalia Gasilova,&nbsp;Dr. Jan-Christoph Wolf,&nbsp;Dr. Luc Patiny,&nbsp;Dr. Laure Menin,&nbsp;Dr. Maria Pavlou","doi":"10.1002/anse.202400079","DOIUrl":"https://doi.org/10.1002/anse.202400079","url":null,"abstract":"<p>Despite the soaring popularity of e-cigarettes among teenagers and young adults, our understanding of the full extent of their health hazards have remained limited. This is due to the vast complexities of e-cigarette aerosols and the difficulty in their full characterisation. Conventional mass spectrometry methods of e-cigarette analysis, though pioneering in driving political and medical discourse, have been limited in their capabilities to uncover all compounds in its emissions due to prominent limitations in experimental setup. To overcome this major hurdle, we have developed a setup for puff-by-puff analysis of electronic and conventional cigarette emissions by concentric dielectric barrier discharge ionisation mass spectrometry. In this pilot study, the simple setup of in-line dilution and high-resolution mass spectrometry analysis allowed us to directly uncover 225 compounds in e-cigarette puffs across a wide spectrum of chemical classes in two sequential 5-minute runs. These include acids, carbonyls, aromatic cyclics, heterocyclics, unsaturated and saturated hydrocarbons, alcohols, esters, alkaloids, sulfur-containing compounds, oxides, and nitriles. As a result, our setup provided a significant improvement in rapid compound identification, and demonstrated a much broader chemical landscape in e-cigarette emissions than previously reported.</p>","PeriodicalId":72192,"journal":{"name":"Analysis & sensing","volume":"5 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/anse.202400079","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143582082","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
Functional Nucleic Acids as Bacterial Biosensors: A Focus on Clostridioides difficile Infection 作为细菌生物传感器的功能性核酸:聚焦艰难梭菌感染
IF 3.4
Analysis & sensing Pub Date : 2024-10-25 DOI: 10.1002/anse.202400056
Kristie Chow, Prof. Yingfu Li
{"title":"Functional Nucleic Acids as Bacterial Biosensors: A Focus on Clostridioides difficile Infection","authors":"Kristie Chow,&nbsp;Prof. Yingfu Li","doi":"10.1002/anse.202400056","DOIUrl":"https://doi.org/10.1002/anse.202400056","url":null,"abstract":"<p><i>Clostridioides difficile</i> (CD) is a Gram-positive, anaerobic, and spore-forming bacillus that colonizes the human gut and causes a range of diseases, such as pseudomembranous colitis and antibiotic-associated diarrhea, that are generally known as CD infection (CDI). Rapid and accurate detection of CDI with high sensitivity and specificity is crucial for patient treatment, infection control, and epidemiological monitoring. Current diagnostic methods for CDI have several limitations, such as high cost, long turnaround time, suboptimal sensitivity, and the need for specialized equipment. Hence, novel detection methods that can overcome these limitations are needed. Functional nucleic acids (FNAs) are a promising class of molecular recognition element (MRE) that can be incorporated into biosensors for detecting infectious pathogens. Several FNAs have been developed for detecting CD. In this review, an overview of CD, CDI, and current diagnostic methods for CDI and their drawbacks are provided. Furthermore, the design principles and working mechanisms of FNAs as well as their applications for the detection of pathogenic bacteria, including CD, are discussed. The potential for developing point-of-care paper sensors using currently available CD-selective FNAs is also highlighted. </p>","PeriodicalId":72192,"journal":{"name":"Analysis & sensing","volume":"5 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/anse.202400056","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143582059","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-Organic Frameworks (MOFs) for Glucose Sensing: Advancing Non-Invasive Detection Strategies in Diabetes Management
IF 3.4
Analysis & sensing Pub Date : 2024-10-23 DOI: 10.1002/anse.202400078
P. N. Blessy Rebecca, D. Durgalakshmi, R. Ajay Rakkesh
{"title":"Metal-Organic Frameworks (MOFs) for Glucose Sensing: Advancing Non-Invasive Detection Strategies in Diabetes Management","authors":"P. N. Blessy Rebecca,&nbsp;D. Durgalakshmi,&nbsp;R. Ajay Rakkesh","doi":"10.1002/anse.202400078","DOIUrl":"https://doi.org/10.1002/anse.202400078","url":null,"abstract":"<p>Effective glucose monitoring is critical for managing diabetes and preventing its associated complications. While commercial glucose monitoring devices predominantly rely on blood samples, emerging research focuses on detecting glucose in alternative biofluids, harnessing advanced nanomaterials. Among these, Metal-Organic Frameworks (MOFs), composed of metal ions and organic ligands, have garnered significant attention due to their unique properties, including tunable porosity, high surface area, and abundant active sites conducive to glucose interaction. MOFs present a versatile platform for glucose sensing, offering potential in both enzymatic and non-enzymatic detection methods. This review delves into the recent advancements in MOFs-based electrochemical glucose sensors, providing a comprehensive analysis of various MOFs and their composites as electrode materials. The discussion highlights the structural attributes, functionalization strategies, and electrochemical performance of MOFs in glucose sensing, emphasizing their role in the development of next-generation, non-invasive glucose monitoring technologies. The review provides a comprehensive overview on the application of MOFs and MOFs-based composites in both enzymatic and non-enzymatic electrochemical-based glucose sensing and highlights the synthesis, mechanism, functionalization and development in the detection strategy of MOFs in glucose sensing.</p>","PeriodicalId":72192,"journal":{"name":"Analysis & sensing","volume":"5 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118672","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
Self-Powered Wearable Pressure Sensors for Detection and Separation of Signals for Various Human Movements
IF 3.4
Analysis & sensing Pub Date : 2024-10-21 DOI: 10.1002/anse.202400062
Md. Abdul Momin, Mahdi Jazini, Mohammad Jellur Rahman, Tetsu Mieno
{"title":"Self-Powered Wearable Pressure Sensors for Detection and Separation of Signals for Various Human Movements","authors":"Md. Abdul Momin,&nbsp;Mahdi Jazini,&nbsp;Mohammad Jellur Rahman,&nbsp;Tetsu Mieno","doi":"10.1002/anse.202400062","DOIUrl":"https://doi.org/10.1002/anse.202400062","url":null,"abstract":"<p>A detailed study on the dynamic response of mountable pressure sensors is presented, with a focus on foot pressure sensors integrated with carbon nanotube (CNT)-coated cotton fibers. The research explores the sensor‘s sensitivity to pressure changes, repeatability, hysteresis, and durability through rigorous modeling and experimental validation. Computational simulations using Python (NumPy library) and experimental data demonstrate the sensor‘s nonlinear conductance response to applied force, attributed to the varying contact area and number of contact points among the fibers. Long-term outdoor exposure tests confirm the material‘s resilience to environmental stressors, maintaining its electrical conductivity and structural integrity. The study also investigates the sensor‘s capability to monitor human activities, such as walking, running, stair climbing, and jumping, by analyzing force profiles and step rates. Additionally, the sensors effectively detect muscle movements during swallowing, coughing, and speech, with potential applications in health monitoring and artificial voice synthesis. The Minimum Redundancy Maximum Relevance (MRMR) algorithm is utilized to implement feature selection methods aimed at distinguishing between various activities, thereby demonstrating the sensor‘s potential for activity recognition. An estimation of harvested electric power using a piezoelectric sensor on the pressure sensors has been done, which can provide power to the different wearable devices attached to our body. This work contributes to the advancement of self-powered wearable pressure sensors to monitor real-time human activity, with implications for healthcare, sports performance, and assistive technologies.</p>","PeriodicalId":72192,"journal":{"name":"Analysis & sensing","volume":"5 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143582029","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
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