Advanced Sensor Research最新文献_第2页

A Portable and Low-Cost Single Board Computer-Based Spectrophotometric Platform for Optical Analysis in the UV and Visible Range

Advanced Sensor Research Pub Date : 2025-02-14 DOI: 10.1002/adsr.202400163

Alessandro Tonelli, Anna Tortone, Alessandro Grazioli, Francesco Pasquali, Michele Sozzi, Alessandro Candiani, Luca Capelli, Alessandro Bertucci

{"title":"A Portable and Low-Cost Single Board Computer-Based Spectrophotometric Platform for Optical Analysis in the UV and Visible Range","authors":"Alessandro Tonelli, Anna Tortone, Alessandro Grazioli, Francesco Pasquali, Michele Sozzi, Alessandro Candiani, Luca Capelli, Alessandro Bertucci","doi":"10.1002/adsr.202400163","DOIUrl":"https://doi.org/10.1002/adsr.202400163","url":null,"abstract":"The growing ability of high-performance consumer electronics is fostering innovation in prototyping and research. Although the Raspberry Pi single-board computer (SBC) is widely used across various fields, including diagnostics, applications involving UV-based reading remain underexplored. In this study, a simple, low-cost (less than 100 euros), and portable device for UV–vis measurements based on Raspberry Pi is presented. The system integrates the AS7341 multi-channel multispectral digital sensor, offering analytical performance comparable to two commercial spectrophotometers – one benchtop and one portable – in terms of linearity, limit of detection, quantitation, and repeatability. Furthermore, the device demonstrates reliable performance both in analyzing real wine samples using two different commercial enzymatic kits and in quantifying different concentrations of synthetic DNA oligonucleotides. By providing a ready-to-use, portable, and affordable platform for UV–vis diagnostics, this prototype is well-suited for resource-limited settings, educational environments, and IoT applications where numerous distributed sensors are required for specific diagnostic tasks.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400163","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818706","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

Computer-Aided Design of Integrated Digital Strain Sensors for Hardware-Based Recognition and Quantification of Human Movements 基于硬件识别和量化人体运动的集成数字应变传感器的计算机辅助设计

Advanced Sensor Research Pub Date : 2025-02-14 DOI: 10.1002/adsr.202400146

Hudson Gasvoda, Mengchu Li, Andrea Pader, Rana Altay, Nick Cmager, Tripti Pandey, Tsun-Ming Tseng, Ismail Emre Araci

{"title":"Computer-Aided Design of Integrated Digital Strain Sensors for Hardware-Based Recognition and Quantification of Human Movements","authors":"Hudson Gasvoda, Mengchu Li, Andrea Pader, Rana Altay, Nick Cmager, Tripti Pandey, Tsun-Ming Tseng, Ismail Emre Araci","doi":"10.1002/adsr.202400146","DOIUrl":"https://doi.org/10.1002/adsr.202400146","url":null,"abstract":"An integrated strain sensor system that has a unique response to a specific (set of) human movement(s) has the potential to impact various musculoskeletal health tracking applications akin to the step counter's impact on physical activity tracking. It is determined that an open circuit state of a sensor can be used as such a unique response. With this consideration, a digital strain sensor (DigSS) that exhibits a binary (i.e., ON/OFF) response when a threshold strain level is exceeded is developed. The channel geometry dependence of the corner flow in capillaric strain sensors (CSS) resulting in an electrofluidic switch is used. It is demonstrated that through the coalescence and breakup of a liquid meniscus, DigSS operates for hundreds of cycles with a strain limit of detection of 0.0026. To facilitate integration, a linear optimization-based computer-aided design tool for the integrated DigSS (iDigSS) is created. Experimental validation shows that the iDigSS distinguishes a target strain-field profile from 35 of 36 theoretically distinguishable profiles without requiring signal processing. Human subject trials demonstrate the system's ability to differentiate a specific shoulder movement from five others and to wirelessly record wrist extension counts and durations.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400146","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818647","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

Complementary Cost-Effective Electrochemical Platforms for Point-Of-Use Biosensing (Adv. Sensor Res. 2/2025)

Advanced Sensor Research Pub Date : 2025-02-10 DOI: 10.1002/adsr.202570004

Mason Monaco, Marjon Zamani, Ava Sarram, Chao-Chi Kuo, Chathurika Abeyrathne, Miaosi Li, Ariel L. Furst

引用次数: 0

Issue Information (Adv. Sensor Res. 2/2025)

Advanced Sensor Research Pub Date : 2025-02-10 DOI: 10.1002/adsr.202570005

引用次数: 0

Sensor-enabled Orthopedic Implants for Musculoskeletal Monitoring

Advanced Sensor Research Pub Date : 2025-02-09 DOI: 10.1002/adsr.202400138

Jincai Huang, Hanqing Dong, Wanmei Zhang, Jixin Cui, Qingang Li, Junqiang Wang, Zhe Zhao, Xining Zang

引用次数: 0

A Standalone and Quantitative Point-of-Need Testing Platform with Manual Readout Capability Based on Smart Hydrogel Strands

Advanced Sensor Research Pub Date : 2025-02-09 DOI: 10.1002/adsr.202400134

Saeed Boroomand, Navid Farhoudi, Christopher F. Reiche, Jules J. Magda, Florian Solzbacher, Lars B. Laurentius

{"title":"A Standalone and Quantitative Point-of-Need Testing Platform with Manual Readout Capability Based on Smart Hydrogel Strands","authors":"Saeed Boroomand, Navid Farhoudi, Christopher F. Reiche, Jules J. Magda, Florian Solzbacher, Lars B. Laurentius","doi":"10.1002/adsr.202400134","DOIUrl":"https://doi.org/10.1002/adsr.202400134","url":null,"abstract":"Smart hydrogels hold great promise as sensing elements that can be tailored to respond to a wide array of biomarkers and can be integrated with different readout modalities. However, a major challenge with these sensors is response time, which depends on the hydrogel swelling behavior and is limited by diffusion. While geometrical miniaturization can accelerate response time, it often requires complex readout systems to detect volume changes, which is detrimental for use in point-of-need (PoN) applications. This study introduces a novel approach for hydrogel-based platforms that realizes important PoN requirements such as sensitivity, cost-effectiveness, instrument-free, and fast response time. The proposed sensing mechanism involves constraining a hydrogel strand at both ends and utilizing a visually observable buckling behavior instead of directly measuring a volume change. The sensing principle is validated by measuring glucose, an important biological analyte, and examines measurement repeatability, response time, sensitivity, and dynamic range. The performance is also demonstrated in blood and serum. The effects of design parameters such as strand length and diameter on sensor performance are also investigated. This new sensor offers a straightforward visual readout without requiring complex instrumentation, paving the way for more accessible and affordable PoN devices.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400134","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571382","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

Electrocrystallization of Copper 7,7,8,8-Tetracyanoquinodimethane Charge-Transfer Complex on Flexible Substrates for Real-Time Ammonia Gas Sensing

Advanced Sensor Research Pub Date : 2025-02-02 DOI: 10.1002/adsr.202400167

Ren Wang, Mohamed Kilani, Jiancheng Lin, Rona Chandrawati, Guangzhao Mao

{"title":"Electrocrystallization of Copper 7,7,8,8-Tetracyanoquinodimethane Charge-Transfer Complex on Flexible Substrates for Real-Time Ammonia Gas Sensing","authors":"Ren Wang, Mohamed Kilani, Jiancheng Lin, Rona Chandrawati, Guangzhao Mao","doi":"10.1002/adsr.202400167","DOIUrl":"https://doi.org/10.1002/adsr.202400167","url":null,"abstract":"Real-time monitoring of public safety, individual health, and environmental conditions relies on accurate continuous data collected by gas sensors, which provide users with cost-effective insights to support informed decision-making. This study presents an innovative approach that simplifies the manufacturing process of nanowire (NW)-based gas sensors by enabling direct electrodeposition of NW crystals on various substrates, such as silicon wafers and polyethylene terephthalate (PET). Copper 7,7,8,8-Tetracyanoquinodimethane (CuTCNQ), a charge-transfer complex, is electrodeposited directly onto photolithographically patterned interdigitated triangle-tip electrodes and functions as a chemiresistive gas sensor that responds to ammonia gas through charge interactions. The sensor's performance can be precisely controlled using electrochemical techniques, allowing for tailored sensitivity across different concentration ranges. To enhance the practical application of this technology, a flexible, near-field communication-based passive tag is developed by integrating the CuTCNQ gas sensor with a flexible printed circuit board. This device enables on-demand ammonia concentration analysis and operates battery-free and wireless through mobile phone scanning. This capability is crucial for wearable or industrial devices and aligns with the increasing demand for robust environmental monitoring solutions. This approach represents a significant step forward in improving both human health and environmental protection through accessible and efficient gas sensing technology.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400167","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571248","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

Ultrathin Screen-Printed Plant Wearable Capacitive Sensors for Environmental Monitoring

Advanced Sensor Research Pub Date : 2025-01-28 DOI: 10.1002/adsr.202400177

Elliot J. Strand, Anupam Gopalakrishnan, Catherine A. Crichton, Mallory J. Palizzi, Owen Lee, Tomoko Borsa, Eloise Bihar, Payton Goodrich, Ana Claudia Arias, Sean E. Shaheen, Robert R. McLeod, Gregory L. Whiting

{"title":"Ultrathin Screen-Printed Plant Wearable Capacitive Sensors for Environmental Monitoring","authors":"Elliot J. Strand, Anupam Gopalakrishnan, Catherine A. Crichton, Mallory J. Palizzi, Owen Lee, Tomoko Borsa, Eloise Bihar, Payton Goodrich, Ana Claudia Arias, Sean E. Shaheen, Robert R. McLeod, Gregory L. Whiting","doi":"10.1002/adsr.202400177","DOIUrl":"https://doi.org/10.1002/adsr.202400177","url":null,"abstract":"Printable and wearable plant sensors offer an approach for collecting critical environmental data at high spatial resolution to understand plant conditions and aid land management practices. Here, screen printed capacitive devices that can measure relative humidity (RH) directly at the plant-environment interface, are demonstrated in an ultra-thin (<6 µm) form factor. Using screen printing and a temporary tattoo transfer process, a simple technique is established to: 1) enclose printed electronic features between two layers of ethyl cellulose (EtC), 2) mount printed microparticle carbon-based electronics onto a variety of plant structures, and 3) dramatically increase the capacitance and sensitivity for humidity sensors when compared to unencapsulated devices. This sandwich tattoo capacitor (STC) platform exhibits an RH sensitivity up to 1000 pF/%RH and stability while mounted to living plant leaves over several days. Electrochemical impedance spectroscopy (EIS) validates the formation of electric double layers within the EtC films that encapsulate the printed electrodes providing tunable capacitance values based on the ionic concentration of the device transfer fluid.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400177","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571387","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

Automated Microfluidic Platform for High-Throughput Biosensor Development

Advanced Sensor Research Pub Date : 2025-01-23 DOI: 10.1002/adsr.202400116

Shitanshu Devrani, Daniel Tietze, Alesia A. Tietze

{"title":"Automated Microfluidic Platform for High-Throughput Biosensor Development","authors":"Shitanshu Devrani, Daniel Tietze, Alesia A. Tietze","doi":"10.1002/adsr.202400116","DOIUrl":"https://doi.org/10.1002/adsr.202400116","url":null,"abstract":"Biorecognition elements immobilized into nanopores have transformed point-of-care (POC) diagnostics by converting molecular interactions into electrical and fluorescent signals.This study introduces Bio-Sensei, a high-throughput screening (HTS) microfluidic platform based on nanopore biosensing. Integrating a robotic sampler, electrochemical, and fluorescence setup, Bio-Sensei operates as an Internet of Things (IoT) platform with integrated data analysis. The platform's utility is demonstrated on functionalized with an amino terminal Cu(II)- and Ni(II)-binding (ATCUN) peptide ion track-etched membrane. Automated testing achieves a significantly higher F-stat value than the critical threshold, while unsupervised clustering reveals optimal nanopores pore size. The biosensor demonstrates remarkable stability, selectivity, and sensitivity with detection limits of 10−6 using fluorescence and 10−15 M using cyclic voltammetry measurements. Combining these methods enhances machine learning models for Cu2+ concentration prediction, achieving receiver operating characteristic area under the curve values exceeding 95%.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400116","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571200","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

Ultrasensitive Isomer Discrimination: A Joint Surface-Enhanced Raman Scattering (SERS) Spectroscopy and Machine Learning Strategy

Advanced Sensor Research Pub Date : 2025-01-21 DOI: 10.1002/adsr.202400160

Verónica Montes-García, Victor F. Martín, Manuel Obelleiro-Liz, Ignacio Pérez-Juste, Artur Ciesielski, Paolo Samorì

{"title":"Ultrasensitive Isomer Discrimination: A Joint Surface-Enhanced Raman Scattering (SERS) Spectroscopy and Machine Learning Strategy","authors":"Verónica Montes-García, Victor F. Martín, Manuel Obelleiro-Liz, Ignacio Pérez-Juste, Artur Ciesielski, Paolo Samorì","doi":"10.1002/adsr.202400160","DOIUrl":"https://doi.org/10.1002/adsr.202400160","url":null,"abstract":"Isomer discrimination is of paramount importance across various sectors, including pharmaceuticals, agriculture, and the food industry, owing to their unique physicochemical characteristics. Because of their extremely similar characteristics, traditional analytical methods fail or encounter severe limitations in isomer discrimination. To overcome this grand challenge, a novel sensing strategy is proposed based on surface-enhanced Raman scattering (SERS) substrates (i.e., plasmonic platforms) combined with machine learning algorithms. These plasmonic platforms exhibit exceptional signal uniformity across wide regions and sensitivity, enabling the discrimination of structural isomers (hydroquinone, resorcinol, pyrocatechol), geometric isomers ((Z/E)-stilbene, (Z/E)-resveratrol), and optical isomers (R/S-ibuprofen). Notably, for the analysis of optical isomers, 1-naphthalenethiol is employed as a probe to facilitate specific isomer orientation on the surface of the plasmonic platform through, for the first time, π–π interactions. The integration of machine learning methodologies, such as Partial Least Squares Regression and Artificial Neural Networks, significantly enhances both quantitative analysis and classification accuracy, achieving detection limits as low as 2 × 10⁻⁸ m. Validation with commercially available ibuprofen samples shows excellent agreement with traditional circular dichroism results, highlighting the method's robustness and precision. The strategy provides a versatile, ultrasensitive, and reliable solution for isomer discrimination, with broad applications in pharmaceuticals, environmental monitoring, and clinical diagnostics.","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400160","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571430","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