Advanced Sensor Research最新文献

{"title":"Simultaneous Selective and Quantitative Sensing of Diclofenac and Metoprolol via Electrical Conductance of Two Polyelectrolyte Hydrogels","authors":"Anastasia Tsianaka,&nbsp;Kimberly Fichtel,&nbsp;Günter E.M. Tovar,&nbsp;Alexander Southan","doi":"10.1002/adsr.202400141","DOIUrl":"https://doi.org/10.1002/adsr.202400141","url":null,"abstract":"<p>Hydrogels containing functional groups are highly interesting for sensor applications as they can change their physical properties by interaction with their environment. In this study, it is demonstrated that by monitoring the conductance of two different functional hydrogels, the concentrations of two different drugs in aqueous solution can be selectively and quantitatively measured simultaneously based on non-specific interactions. Detailed characterization of the competitive drug adsorption on the hydrogels allows the description of both hydrogel conductances as a function of the drug concentrations based on physical models. The result is a system of non-linear equations that can be solved for the drug concentrations. The different affinities and conductance responses of the hydrogels for the two drugs is a prerequisite, which is usually achieved with different materials. This approach is demonstrated with hydrogels based on poly(ethylene glycol), functionalized with the ionic monomers [2-(acryloyloxy)ethyl] trimethylammonium chloride (AETA) and 3-sulfopropyl acrylate potassium salt (SPA), and the drugs diclofenac and metoprolol. The hydrogel conductance is found to be linear with drug concentration in the hydrogels, which in turn is described by a non-linear Langmuir-type competitive adsorption isotherm. The proposed approach thus shows potential for future studies on more complex mixtures by including a larger variety of functional hydrogels.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400141","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571225","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":"Noble Metal Nanoparticle-Based Aptasensors: A Powerful Tool for Exosomal Detection (Adv. Sensor Res. 1/2025)","authors":"Jingyu Sun,&nbsp;Wei Hu,&nbsp;Nuo Xu,&nbsp;Jonathan Makris,&nbsp;Felicia Spadavecchia,&nbsp;Hongjun Wang","doi":"10.1002/adsr.202570001","DOIUrl":"https://doi.org/10.1002/adsr.202570001","url":null,"abstract":"<p><b>Aptasensor</b></p><p>By utilizing the aptamers as the recognition elements, noble metal nanoparticle-based aptasensors offer a promising platform for rapid, cost-effective, and sensitive in situ detection of cell-secreted exosomes. More details can be found in article 2400002 by Hongjun Wang and co-workers.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202570001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113887","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":"Nonlinear Damping as the Fourth Dimension in Optical Fiber Anemometry (Adv. Sensor Res. 1/2025)","authors":"Jeremiah C. Williams,&nbsp;Hengky Chandrahalim","doi":"10.1002/adsr.202570003","DOIUrl":"https://doi.org/10.1002/adsr.202570003","url":null,"abstract":"<p><b>Nonlinear Optomechanical Anemometer</b></p><p>A fiber-tip optomechanical anemometer features a 3D rotor spinning in response to airflow, integrated with an optical fiber. Nonlinear damping, introduced as a fourth dimension, stabilizes the rotor for precise flow measurement using polydimethylsiloxane. This innovative design enables compact, accurate sensing of gaseous flows with broad optical compatibility, highlighting the breakthrough in fluid dynamic sensing technology. More details can be found in article 2400080 by Jeremiah C. Williams and Hengky Chandrahalim.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202570003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113888","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":"Masthead (Adv. Sensor Res. 1/2025)","authors":"","doi":"10.1002/adsr.202570002","DOIUrl":"https://doi.org/10.1002/adsr.202570002","url":null,"abstract":"","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202570002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113889","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":"Residual Lifetime Indicators for Respiratory Cartridges and Canisters: Challenges and Opportunities for Sensing","authors":"Adrian Trinchi,&nbsp;Ilias Louis Kyratzis,&nbsp;Jacob Oestreich,&nbsp;Robbie Wild,&nbsp;Matthew R. Hill","doi":"10.1002/adsr.202400029","DOIUrl":"https://doi.org/10.1002/adsr.202400029","url":null,"abstract":"<p>Canister-based air purification respirators are frontline personnel's first point of defense against airborne contaminants. Tremendous advancements in filtration and purification materials have occurred in recent years, particularly with the advent of multifunctional, high-surface-area materials. Despite these, a significant challenge remains for canisters, and that is knowing when, without a doubt, they should be replaced. Residual lifetime indicators (RLIs) are essential for informing wearers when to make an active decision to replace their canister. RLIs can also be used to inform policymakers of appropriate changeover schedules, thereby reducing the wearer's risk of becoming exposed to airborne contaminants. This paper discusses some of the challenges with current changeover approaches and examines key issues for incorporating RLIs into canister respirators. A variety of sensor technologies and methodologies are examined, along with some recent RLI developments in the research and patent literature. A discussion on the challenges for making RLIs more amenable for incorporation into canisters is provided, along with recommendations for future development.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380022","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":"Machine Learning-Enabled Triboelectric Nanogenerator for Continuous Sound Monitoring and Captioning","authors":"Majid Haji Bagheri,&nbsp;Emma Gu,&nbsp;Asif Abdullah Khan,&nbsp;Yanguang Zhang,&nbsp;Gaozhi Xiao,&nbsp;Mohammad Nankali,&nbsp;Peng Peng,&nbsp;Pengcheng Xi,&nbsp;Dayan Ban","doi":"10.1002/adsr.202400156","DOIUrl":"https://doi.org/10.1002/adsr.202400156","url":null,"abstract":"<p>Advancements in live audio processing, specifically in sound classification and audio captioning technologies, have widespread applications ranging from surveillance to accessibility services. However, traditional methods encounter scalability and energy efficiency challenges. To overcome these, Triboelectric Nanogenerators (TENG) are explored for energy harvesting, particularly in live-streaming sound monitoring systems. This study introduces a sustainable methodology integrating TENG-based sensors into live sound monitoring pipelines, enhancing energy-efficient sound classification and captioning by model selection and fine-tuning strategies. Our cost-effective TENG sensor harvests ambient sound vibrations and background noise, producing up to 1.2 <i>µ</i>W cm⁻² output power and successfully charging capacitors. This shows its capability for sustainable energy harvesting. The system achieves 94.3% classification accuracy using the Hierarchical Token Semantic Audio Transformer (HTS-AT) model identified as optimal for live sound event monitoring. Additionally, continuous audio captioning using the EnCodec Combining Neural Audio Codec and Audio-Text Joint Embedding for Automated Audio Captioning model (EnCLAP) showcases rapid and precise processing capabilities that are suitable for live-streaming environments. The Bidirectional Encoder representation from the Audio Transformers (BEATs) model also demonstrated exceptional performance, achieving an accuracy of 97.25%. These models were fine-tuned using the TENG-recorded ESC-50 dataset, ensuring the system's adaptability to diverse sound conditions. Overall, this research significantly contributes to the development of energy-efficient sound monitoring systems with wide-ranging implications across various sectors.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400156","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380399","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":"Rational Design of Palladium and Platinum Chemosensors for Bio-Applications","authors":"Daniel Nnaemaka Tritton,&nbsp;Chak-Shing Kwan,&nbsp;Fung-Kit Tang,&nbsp;Zongwei Cai,&nbsp;Min Li,&nbsp;Ken Cham-Fai Leung","doi":"10.1002/adsr.202400150","DOIUrl":"https://doi.org/10.1002/adsr.202400150","url":null,"abstract":"<p>Palladium and platinum are non-endogenous precious group 10 metals that are extensively used for catalytic materials, electronics, and drugs. These heavy metals have recently gained more attention in biomedical applications and drug development. At the same time, concerns arising from metal content in various sample types have provoked chemists to develop reliable analytical tools to evaluate the internalization of these metals. Fluorescence chemosensors serve as crucial tools for analytical chemistry and molecular imaging. In view of this, small molecular fluorescent chemosensors are attractive candidates because of their high sensitivity and non-destructive nature for molecular imaging. This mini-review summarizes recent examples of palladium and platinum chemosensors, and their detection mechanisms are highlighted with the applications used in the studies. Moreover, a brief discussion on sensor design and outlook is given as a reference for future palladium and platinum chemosensor development.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400150","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379849","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":"Monitoring HIV Antiretroviral Therapy via Aptamer-Based Measurements in Preclinical Animal Models, in Human Plasma","authors":"Jing Li,&nbsp;Vincent Clark,&nbsp;Chen-Hsu Yu,&nbsp;Karen Scida,&nbsp;Miguel Aller Pellitero,&nbsp;Rolando L. Albarracín Rivera,&nbsp;Wenrui Zhong,&nbsp;Erin Demek,&nbsp;Jeffrey Fountain,&nbsp;J.D. Mahlum,&nbsp;Richard E. Haaland,&nbsp;Gregory V. Carr,&nbsp;Jonathan Sczepanski,&nbsp;Netzahualcóyotl Arroyo-Currás","doi":"10.1002/adsr.202400191","DOIUrl":"https://doi.org/10.1002/adsr.202400191","url":null,"abstract":"<p>Monitoring the concentration of antiretroviral drugs is critical to ensuring patient adherence to HIV treatment and prevention regimens, which is crucial for drug efficacy. These tools may also be useful for screening samples at blood donation centers to avert potential new infections. The current benchmark method to support antiretroviral drug monitoring, liquid chromatography coupled to mass spectrometry (LC-MS), requires centralized facilities with costly instrumentation, and has blood-to-result turnaround times of days to weeks, making it impractical for effective drug monitoring. Seeking to overcome this issue, an aptamer is developed for the antiretroviral drug emtricitabine, which is present in most antiretroviral combination therapies in the market and used for both infection management and prevention. The aptamer has clinically relevant sensitivity in biofluids and is highly selective relative to close analogs such as cytosine, cytidine, fluorocytidine, and lamivudine (a.k.a. 3TC). Using this aptamer, two analytical assays are developed, one for continuous, in-vivo emtricitabine monitoring in rodent research models, and one for rapid and high-throughput screening of emtricitabine levels in human plasma. Through blinded analytical validation, this clinical assay achieved an 86.9% positive and 100% negative correlation, with an overall agreement rate of 95% relative to the benchmark LC-MS method.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400191","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571350","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":"Starting the 4th Volume of Advanced Sensor Research!","authors":"","doi":"10.1002/adsr.202400190","DOIUrl":"https://doi.org/10.1002/adsr.202400190","url":null,"abstract":"&lt;p&gt;As we dive into Volume 4, we are thrilled to announce that Advanced Sensor Research will receive its first Impact Factor this year, a significant achievement. All articles have already been indexed in Web of Science, and we can see how well they have been cited and received.&lt;/p&gt;&lt;p&gt;To sum up, 2024 was another very successful year for Advanced Sensor Research. We are proud to have published 107 research articles, 46 reviews, and 3 perspectives in 12 issues, covering all facets of sensor research.&lt;/p&gt;&lt;p&gt;Similarly to last year, we would like to take this opportunity to discuss some of the many wonderful articles we have published. Given the significant impact and prominence of Artificial Intelligence (AI) in contemporary scientific research, as also evidenced by the 2024 Nobel Prizes in Physics and Chemistry, we want to highlight three relevant contributions published in Advanced Sensor Research. In their article entitled “Artificial Intelligence-Based Medical Sensors for Healthcare System,” Haick and Tang et al., have provided a brief overview on the development of AI-enabled medical sensors for off-body detection, near-body monitoring, disease prediction, and clinical decision support systems (adsr.202300009).&lt;/p&gt;&lt;p&gt;A study focusing on optimization of microneedle designs with the aim of minimizing pain by way of machine learning, finite element analysis, and optimization tools was published by A. C. Abdullah and S. Tasoglu (adsr.202300181). Lastly, Zhang et al., have shown us how surface electromyogram signals from the wrist and forearm were collected by integrated electrodes for gesture recognition with the help of machine learning (adsr.202300164).&lt;/p&gt;&lt;p&gt;Providing further recognition of AI's transformative role in accelerating scientific discovery—we are also proud to present a dedicated virtual issue entitled “AI in Action” where you can find many more relevant articles published in our journal portfolio.&lt;/p&gt;&lt;p&gt;In addition to AI-related research, another highlight is the article by Yang and Bhaskaran et al., entitled “Miniaturized Optical Glucose Sensor Using 1600–1700 nm Near-Infrared Light,” which has been featured in numerous renowned news outlets. They describe a new optical sensor that has the potential to be used as a continuous glucose monitoring system, providing a non-invasive option for people with diabetes (adsr.202300160).&lt;/p&gt;&lt;p&gt;In 2024, we also published our first Special Issue. Our guest editor Hossam Haick has collected several studies from the dynamic field of “Wearable Chemical Sensors.” which includes 1 Perspective, 9 Reviews, and 6 Research Articles that provide a thorough overview of this emerging and crucial research field. Moreover, to stay updated on the latest advances in Wearable Sensors, we have launched a “Hot Topics” section. This section collects the most recent and relevant articles published in various journals.&lt;/p&gt;&lt;p&gt;We would also like to take this opportunity to introduce some of our best-cited articles from 2","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400190","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112511","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":"Integration of Nanoengineering with Artificial Intelligence and Machine Learning in Surface-Enhanced Raman Spectroscopy (SERS) for the Development of Advanced Biosensing Platforms","authors":"Farbod Ebrahimi,&nbsp;Anjali Kumari,&nbsp;Kristen Dellinger","doi":"10.1002/adsr.202400155","DOIUrl":"https://doi.org/10.1002/adsr.202400155","url":null,"abstract":"<p>Surface-enhanced Raman spectroscopy (SERS) has emerged as a powerful tool for biomedical diagnosis, combining heightened sensitivity with molecular precision. The integration of artificial intelligence (AI) and machine learning (ML) has further elevated its capabilities, refining data interpretation, pattern prediction, and bolstering diagnostic accuracy. This review chronicles advancements in SERS diagnostics, emphasizing the collaboration between ML and innovative nanostructures, substrates, and nanoprobes for SERS enhancement. The breakthroughs are highlighted in SERS-based point-of-care techniques and the nuanced detection of key biomarkers, from nucleic acids to proteins and metabolites. The article also addresses prevailing challenges, such as the need for standardized SERS methodologies and optimized platforms. Moreover, the potential of portable SERS systems is discussed for clinical deployment, as well as current efforts and challenges in clinical trials. In essence, this review positions the fusion of nanoengineering, AI, ML, and SERS as the frontier for next-generation biomedical diagnostics.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400155","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380727","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}