Md Sazid Bin Sadeque, Mahmudur Rahman, Md Mehdi Hasan, Mustafa Ordu
{"title":"Thermal Drawing of MoS2 Integrated PVDF Triboelectric Fiber for Continuous Respiration Monitoring","authors":"Md Sazid Bin Sadeque, Mahmudur Rahman, Md Mehdi Hasan, Mustafa Ordu","doi":"10.1002/adsr.202400114","DOIUrl":"https://doi.org/10.1002/adsr.202400114","url":null,"abstract":"<p>Triboelectric nanogenerators (TENGs) are environmentally sustainable energy harvesting devices that can convert mechanical and biomechanical energy into electrical output through the synergistic process of triboelectrification and electrostatic induction. Incorporating polyvinylidene fluoride (PVDF) and its copolymers into flexible TENG is particularly advantageous because of the abundance of highly electronegative fluorine ions and high dielectric constant. MoS<sub>2</sub> can interact with PVDF dipoles to improve PVDF's <i>β</i> phase content, thereby improving the triboelectric property of the polymer nanocomposite fibers. In this study, thermally drawn PVDF TENG fibers are fabricated, incorporating various concentrations of MoS<sub>2</sub> for the first time. The enhanced <i>β</i> phase property in the nanocomposite fiber improves the triboelectric output where 3 wt.% MoS<sub>2 –</sub> PVDF fiber demonstrates a maximum peak power output of 17.64 µW, exhibiting a threefold increment compared to 0 wt.% MoS<sub>2 –</sub> PVDF fiber. Simultaneous integration of multiple nanomaterials (MoS<sub>2</sub> and graphene) is also investigated to analyze the triboelectric fiber's <i>β</i> phase formation and electrical performance. Harnessing the superior sensitivity of the MoS<sub>2</sub> integrated triboelectric fiber, a self-powered wearable mask is designed for continuous human respiration monitoring.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400114","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571384","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":"Point-of-Care Health Diagnostics and Food Quality Monitoring by Molecularly Imprinted Polymers-Based Histamine Sensors","authors":"Shahzad Ahmed, Arshiya Ansari, Zhixuan Li, Hirak Mazumdar, Moin Ali Siddiqui, Afzal Khan, Pranay Ranjan, Ajeet Kaushik, Ajayan Vinu, Prashant Kumar","doi":"10.1002/adsr.202400132","DOIUrl":"https://doi.org/10.1002/adsr.202400132","url":null,"abstract":"<p>Histamine, a biogenic amine (BA), plays a significant role in various pathophysiological processes and is present in food supplies, serving as an indicator of freshness and microbial degradation. It is a major cause of food poisoning outbreaks, triggering allergic inflammatory responses. Detecting histamine in food is crucial because its toxic threshold does not affect the food's taste, making contaminated items appear normal. To address this challenge, label-free and bioactive-free electrochemical sensors utilizing molecularly imprinted polymers (MIPs) offer the desired selectivity, scalability, and efficiency. MIPs are synthetic materials designed to mimic biological receptors. This paper reviews a decade of research on MIP-assisted electrochemical sensors for histamine detection, focusing on their scalability, robustness, speed, and selectivity. The review critically analyzes the performance of these sensors in detecting histamine in food, beverages, human serum, and body diagnostics. Additionally, the current understanding of the physiological effects of endogenous and ingested histamine is reviewed, highlighting both established and emerging methods for its quantification in food and health management. The potential for transforming healthcare delivery through personalized Point-of-Care (POC) systems, integrated with Artificial Intelligence (AI) and Internet-of-Medical Things (IoMT) technologies, is also discussed.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400132","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380570","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":"Advanced Neural Probe Sensors toward Multi-Modal Sensing and Modulation: Design, Integration, and Applications","authors":"Tiansong Wang, Yanze Chen, Yi Wang, Sung-Ho Lee, Yuan-Shin Lee, Jingyan Dong","doi":"10.1002/adsr.202400142","DOIUrl":"https://doi.org/10.1002/adsr.202400142","url":null,"abstract":"<p>Neural probe devices have undergone significant advancements in recent years, evolving from basic single-functional devices to sophisticated integrated systems capable of sensing, stimulating, and regulating neural activity. The neural probes have been demonstrated as effective tools for diagnosing and treating numerous neurological disorders, as well as for understanding sophisticated connections and functions of neuron circuits. The multifunctional neural probe platforms, which combine electrical, optical, and chemical sensing capabilities, hold promising potential for revolutionizing personalized healthcare through closed-loop neuromodulation, particularly in the treatment of conditions such as epilepsy, Parkinson's disease, and depression. Despite these advances, several challenges remain to be further investigated, including biocompatibility, long-term signal quality and stability, and miniaturization, all of which hinder their broader clinical application. This paper provides an overview of the design principles of the neural probe structures and sensors, fabrication strategies, and integration techniques for the advanced multi-functional neural probes. Key electrical, optical, and chemical sensing mechanisms are discussed, along with the selection of corresponding functional materials. Additionally, several representative applications are highlighted, followed by a discussion of the challenges and opportunities that lie ahead for this emerging field.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400142","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380698","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":"Self-Powered, Soft and Breathable Human–Machine Interface Based on Piezoelectric Sensors (Adv. Sensor Res. 12/2024)","authors":"Zhipeng Jiang, Chi Zhang, Sun Hwa Kwon, Lin Dong","doi":"10.1002/adsr.202470035","DOIUrl":"https://doi.org/10.1002/adsr.202470035","url":null,"abstract":"<p><b>Smart Human-Machine Interface</b></p><p>In article 2400086, Lin Dong and co-workers introduce a self-powered human-machine interface with piezoelectric sensors for precise body motion monitoring. Enhanced sensitivity and a novel control algorithm enable the translation of muscle signals into Morse code and control of a robotic hand to perform tasks like drinking water.\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":"3 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202470035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142868352","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":"Nanoflowers Templated CuO/Cu Hybrid Metasurface for Sensitive THz-TDS Detection of Acetylcholine (Adv. Sensor Res. 12/2024)","authors":"Soo Hyun Lee, Taeyeon Kim, Minah Seo","doi":"10.1002/adsr.202470033","DOIUrl":"https://doi.org/10.1002/adsr.202470033","url":null,"abstract":"<p><b>Terahertz Metasurface Biosensors</b></p><p>In article 2400041, Minah Seo and co-workers demonstrate the sensitive detection of acetylcholine through the integration of CuO nanoflowers with Cu nanoslots at the terahertz range. The enhanced optical hotspots by the nanoflowers resulted in sufficient signal variations, highlighting their potential for sensitive detection and quantitative analysis of trace substances.\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":"3 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202470033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142868354","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":"Wearable Single-Electrode Capacitive Sensor with Large Penetration Depth for Intelligent Deep Tissue and Hemorrhage Monitoring","authors":"Yu-Jen Cheng, Shawn Kim, Nathan White, Xu Wang, Kristyn Ringgold, Lauren Neidig, Younghoon Kwon, Jae-Hyun Chung","doi":"10.1002/adsr.202400143","DOIUrl":"https://doi.org/10.1002/adsr.202400143","url":null,"abstract":"<p>Monitoring deep tissue biometrics is crucial in various clinical settings, including internal hemorrhage. Although optical and impedance tomography techniques offer real-time monitoring with minimal medical infrastructure, they still face challenges in accurately assessing deeper tissues in wearable formats. This study introduces a novel single-electrode capacitive sensor designed to measure deep tissue capacitance changes caused by variations in dielectric constant and pressure. The sensor features a carbon nanotube-paper composite (CPC) electrode integrated with a multi-walled carbon nanotube (MWCNT)-embedded foam. The CPC electrode, with its large surface area and high-aspect-ratio fibers, generates a high electric field for deeper tissue penetration, improving deep tissue monitoring performance. Penetration depth is characterized using surrogate tissue, heart, and lung models. Additionally, the integration of pressure-sensitive MWCNT foam significantly enhances the sensitivity, enabling precise detection of regional blood volume and tissue displacement. The novel sensing mechanism is applied to detect internal hemorrhage in a porcine model. By employing a machine learning algorithm, the sensor accurately estimates the severity of internal hemorrhage, offering a noninvasive alternative to catheter-based systems. This advancement lays the foundation for a real-time wearable system that monitors deep tissue health metrics, such as blood volume, blood pressure, as well as heart and lung functions.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400143","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380472","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":"3D-Assembled Bionic Tactile Sensing “Skin” for Soft Machines","authors":"Ruiping Zhang, Yihao Chen, Ziheng Wang, Ziwei Liang, Yinji Ma, Ying Chen, Xue Feng","doi":"10.1002/adsr.202400102","DOIUrl":"https://doi.org/10.1002/adsr.202400102","url":null,"abstract":"<p>Soft machines such as bionic soft robotics attract tremendous interest. Environmental awareness between the “skin” of robotics and the contact surface is essential for motion control. Contact sensing requires not only bionic tactile perception but also high adaptability to their skin's soft nature. However, most tactile sensors can only measure normal pressure and are not adapted to large-area soft surfaces. Here, a multi-directional bionic tactile sensing “skin” (MBT-Skin) for soft machines is developed. The skin can detect pressure and friction simultaneously with its 3D structure. Through curvature-controlled transfer printing and multi-step 3D assembly, multiple 3D structures with a small size (1.4 mm × 1.2 mm × 4 mm) are fabricated efficiently. The sensor possesses high sensitivity (P: −0.013N<sup>−1</sup>; f: 0.036 N<sup>−1</sup>), good linearity (P: R<sup>2</sup> = 0.990; f: R<sup>2</sup> = 0.999), and robust repeatability (≈1000). For MBT-Skin, stretchable interconnections are designed to adapt to the large skin deformation of soft machines. It is mounted on a soft snake-like cylinder and detects multi-direction force mimicking tactile perception during soft robotics movement. The results show that MBT-Skin is capable of detecting pressure and friction with minimal interference from machine bending, which demonstrates its potential future applications in environmental awareness for bionic soft robotics.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400102","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112014","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}
Thuc Anh Ngo, Tanju Yildirim, Meng-Qun Feng, Kosuke Minami, Kota Shiba, Genki Yoshikawa
{"title":"Empirical Modification of Force Fields for the Development of Peptide-Based Gas Sensors","authors":"Thuc Anh Ngo, Tanju Yildirim, Meng-Qun Feng, Kosuke Minami, Kota Shiba, Genki Yoshikawa","doi":"10.1002/adsr.202400122","DOIUrl":"https://doi.org/10.1002/adsr.202400122","url":null,"abstract":"<p>Molecular dynamics models combined with computational approaches can be used as advanced screening techniques for finding highly efficient material-molecule interactions based on binding affinity, including in the development of gas sensors. However, most models are originally designed for liquid phase interactions, which do not align with gas sensing conditions, resulting in lower-than-expected performance. This study introduces an empirical modification method to adjust peptide interaction models for a gas phase, aiming to better accommodate the interaction between pentapeptides and target gas molecules. By adapting the weights of terms in the Gibbs free energy equation given in an empirical force field model, we demonstrate a significant increase in the absolute value of coefficient of determination (<i>R</i><sub>0</sub><sup>2</sup>) , from an average of 0.05 with conventional liquid phase models to 0.90 with proposed gas phase models. An empirical modification technique for gas phase interactions markedly enhances the prediction accuracy of models, facilitating the effective development of peptide-based gas sensors.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400122","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818792","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}
Moutoshi Chakraborty, Shamsul Arafin Bhuiyan, Simon Strachan, Muhammad J.A. Shiddiky, Nam-Trung Nguyen, Narshone Soda, Rebecca Ford
{"title":"A Sensitive, Specific and Fast Electrochemical-based Nanobiosensor Diagnostic for Xanthomonas albilineans, the Cause of Sugarcane Leaf Scald Disease","authors":"Moutoshi Chakraborty, Shamsul Arafin Bhuiyan, Simon Strachan, Muhammad J.A. Shiddiky, Nam-Trung Nguyen, Narshone Soda, Rebecca Ford","doi":"10.1002/adsr.202400103","DOIUrl":"https://doi.org/10.1002/adsr.202400103","url":null,"abstract":"<p>Leaf scald (LS) caused by <i>Xanthomonas albilineans</i> (<i>Xalb</i>), is a major bacterial disease of sugarcane. The unreliable symptom expressions make traditional visual detection challenging. The molecular methods of detection require expensive equipment, labor-intensive, and time-consuming. This study proposes a novel electrochemical (EC)-approach, that is relatively easy to use and less expensive to detect <i>Xalb</i> DNA in LS-infected sugarcane leaves, meristematic tissue, and xylem sap samples. This method involves three key steps: i) DNA isolation from sugarcane samples via boiling lysis; ii) magnetic purification of target sequences from the lysate using magnetic bead-bound capture probes; and iii) EC detection of the target DNA. The method shows excellent detection sensitivity (10 cells µL<sup>−1</sup>), reproducibility (Standard deviation, SD <5%, for <i>n</i> = 3), and a wide linear dynamic range (1 nM–1 fM or 10<sup>6</sup>–10° copies µL<sup>−1</sup>, <i>r</i> = 0.99). The EC assay has a strong negative correlation with quantitative polymerase chain reaction (qPCR) results (<i>r</i> = −0.95–0.97, <i>n</i> = 24, <i>p <</i> 0.001), and weak or no correlation with the varietal resistance ratings. This EC-based assay can be a commercially viable alternative, providing a DNA isolation/purification-free solution, and can potentially be adapted into a handheld device for on-farm detection and quantification of the LS-causing pathogen.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400103","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120551","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}