ACS Sensors最新文献

{"title":"Piezo-Capacitive Flexible Pressure Sensor with Magnetically Self-Assembled Microneedle Array","authors":"Shengbin Li, Yifan Wang, Yuanzhao Wu, Waqas Asghar, Xiangling Xia, Chenxu Liu, Xinyu Bai, Jie Shang, Yiwei Liu, Run-Wei Li","doi":"10.1021/acssensors.4c02895","DOIUrl":"https://doi.org/10.1021/acssensors.4c02895","url":null,"abstract":"Flexible pressure sensors are pivotal in advancing artificial intelligence, the Internet of Things (IoT), and wearable technologies. While microstructuring the functional layer of these sensors effectively enhances their performance, current fabrication methods often require complex equipment and time-consuming processes. Herein, we present a novel magnetization-induced self-assembly method to develop a magnetically grown microneedle array as a dielectric layer for flexible capacitive pressure sensors. By precisely controlling the magnetic particle concentration and dynamic magnetic field strength, we achieve a tunable microneedle morphology. The resulting sensor exhibits high sensitivity (4.11 kPa^–1), an ultrafast response time (20 ms), excellent cyclic stability (≈1700 cycles), and flexibility. We demonstrate real-time monitoring of various physiological signals including pulse, grip force, breathing rate, and head motion. This study introduces a promising approach for fabricating high-performance flexible sensors, potentially enabling more intuitive and effective human–machine interactions.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"116 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143044518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hierarchical Porous Aggregate-Enabled Chromatography-Inspired Single-Sensor E-Nose for Volatile Monitoring","authors":"Haowen Guo, Taoping Liu, Xingchun Zhai, Zhiyuan Qu, Yongheng Zhang, Junjie Wen, Shifan Xue, Junjie Li, Jing Tang, Tan-Phat Huynh, Mitch Guijun Li, Guoyue Shi, Min Zhang","doi":"10.1021/acssensors.4c03231","DOIUrl":"https://doi.org/10.1021/acssensors.4c03231","url":null,"abstract":"Monitoring volatile organic compounds (VOCs) is crucial for ensuring safety and health. In this study, we introduce a strategy to engineer a chromatography-inspired single-sensor (CISS) e-nose tailored for VOC monitoring. This approach overcomes the limitations of traditional methodologies and conventional e-noses. A hierarchical porous multicomponent aggregate, named CuP@G, was initially developed as the sole sensor material. This aggregate integrates a Cu²⁺–polydopamine (CuP) network with reduced graphene oxide, enhancing its chemoresistive properties. Using laser processing, we fabricated a grooved laser-induced graphene interdigitated electrode that is loaded with CuP@G ink and subsequently integrated into a compact laser-engraved microchamber. This process results in the production of the CISS e-nose. Notably, this e-nose enables swift, reversible, and precise detection of various VOCs using a time-space-resolved methodology. The developed module, known for its affordability and portability, is especially suitable for the point-of-care testing (POCT) of VOCs. Consequently, our research advances the development of streamlined cost-effective e-noses that are essential for proficient VOC monitoring.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"23 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143050625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lead Phosphate Material for Exclusive Detection of Hydrogen Sulfide Gas","authors":"Zhengkun Wu, Xu Cheng, Yifan Yang, Yanrong Wang, Xiurui Lv, Beixi An, Qiao Wang, Tingyu Zhang, Ruiqi Han, Erqing Xie","doi":"10.1021/acssensors.4c02774","DOIUrl":"https://doi.org/10.1021/acssensors.4c02774","url":null,"abstract":"Efficient gas sensors that can accurately detect and identify hydrogen sulfide are essential for various practical applications. Conventional resistive sensors often lack the necessary selectivity, which hampers timely and effective H₂S detection. This study presents lead phosphate-based gas sensors specifically designed for H₂S detection, which effectively eliminate interference effects. Notably, altering the metal element did not compromise the sensor’s exceptional selectivity. The sensing mechanism behind this excellent selectivity is explained. The findings demonstrate the potential for developing high-performance phosphate-based gas sensors for use under ambient conditions and offer a strategic reference for designing highly selective sensors.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"48 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143044519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Integrating Microfluidic System for Concentration Gradient Generation of Exosomes and Exosome-Assisted Single-Cell-Derived Tumor-Sphere Formation","authors":"Long Pang, Chang Tian, Qirui Wang, Zhaohua Zhao, Bofeng Pan, Zichun Luo, Shuqiang Wu, Xueping Li, Jianglin Fan","doi":"10.1021/acssensors.4c01542","DOIUrl":"https://doi.org/10.1021/acssensors.4c01542","url":null,"abstract":"To enhance exploration on tumor stem-like cells (TSCs) without altering their cellular biological characteristics, researchers advocate for application of single-cell-derived tumor-spheres (STSs). TSCs are regulated by their surrounding microenvironment, making it crucial to simulate a tumor microenvironment to facilitate STS formation. Recently, exosomes that originated from the tumor microenvironment have emerged as a promising approach for mimicking the tumor microenvironment. In the tumor microenvironment, various associated cells (such as fibroblasts, endothelial cells, and immune cells) play crucial roles. Utilizing exosomes derived from these cells enabled us to simulate the tumor microenvironment and promote STS formation. Herein, we have developed an integrated microfluidic platform to generate serial concentration gradients and evaluate the effects of multiple exosomes on STS formation. To demonstrate the feasibility of our approach, we generated serial concentration gradients of exosomes derived from two different cell types (HUVEC and NIH/3T3 cells) and assessed their effects on STS formation. Subsequently, we investigated the drug resistance of STSs treated with free doxorubicin and doxorubicin-loaded poly(lactic-<i>co</i>-glycolic acid) (PLGA) nanoparticles. Our findings revealed that the serial concentration gradients of mixed exosomes could be successfully generated, leading to an enhanced formation rate and size of STSs. Compared to exosomes derived from one cell type, the mixed exosomes exhibited superior promotion of STS formation. Additionally, nanomedicines demonstrated a reduction in the drug resistance of TSCs compared to free drug treatment, particularly in smaller and/or more deformable TSCs. This platform provides an innovative approach for STS formation enhancement and tumor microenvironment simulation.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"28 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143044515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative Analysis of Machine Learning Algorithms Used for Translating Aptamer-Antigen Binding Kinetic Profiles to Diagnostic Decisions","authors":"Sadman Sakib, Kulmanak Bajaj, Payel Sen, Wantong Li, Jimmy Gu, Yingfu Li, Leyla Soleymani","doi":"10.1021/acssensors.4c02682","DOIUrl":"https://doi.org/10.1021/acssensors.4c02682","url":null,"abstract":"Current approaches for classifying biosensor data in diagnostics rely on fixed decision thresholds based on receiver operating characteristic (ROC) curves, which can be limited in accuracy for complex and variable signals. To address these limitations, we developed a framework that facilitates the application of machine learning (ML) to diagnostic data for the binary classification of clinical samples, when using real-time electrochemical measurements. The framework was applied to a real-time multimeric aptamer assay (RT-MAp) that captures single-frequency (12.6 Hz) impedance data during the binding of viral protein targets to trimeric aptamers. The impedance data collected from 172 COVID-19 saliva samples were processed through multiple nonlinear regression models to extract nine key features from the transient signals. These features were then used to train three supervised ML algorithms─support vector machine (SVM), artificial neural network (ANN), and random forest (RF)─using a 75:25 training-testing ratio. Traditional ROC-based classification achieved an accuracy of 83.6%, while ML-based models significantly improved performance, with SVM, ANN, and RF achieving accuracies of 86.0%, 100%, and 100%, respectively. The ANN model demonstrated superior performance in handling complex and high-variance biosensor data, providing a robust and scalable solution for improving diagnostic accuracy in point-of-care settings.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"4 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143044516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CRISPR-Cas12a-Mediated Growth of Gold Nanoparticles for DNA Detection in Agarose Gel","authors":"Ruijie Fu, Yanzhong Wang, Sai Qiao, Peng Xu, Yunlei Xianyu, Jun Zhang","doi":"10.1021/acssensors.4c03461","DOIUrl":"https://doi.org/10.1021/acssensors.4c03461","url":null,"abstract":"The rapid, simple, and sensitive detection of nucleic acid biomarkers plays a significant role in clinical diagnosis. Herein, we develop a label-free and point-of-care approach for isothermal DNA detection through the trans-cleavage activity of CRISPR-Cas12 and the growth of gold nanomaterials in agarose gel. The presence of the target can activate CRISPR-Cas12a to cleave single-stranded DNA, thus modulating the length and number of DNA sequences that mediate the growth of gold nanoparticles (AuNPs) or gold nanorods (AuNRs). Due to the extraordinary plasmonic property of gold nanomaterials, they present characteristic absorption/color after the growth with unique shapes. The sensing strategy is applied to detect BRCA-1, a biomarker related to breast cancer, with limits of detection of 1.72 pM (AuNP-based) and 2.07 pM (AuNR-based). AuNPs/AuNRs can be immobilized in agarose gels that display different colors in the presence of target DNA sequences. The agarose gel-based test allows for a readout by the naked eye or the RGB value with a smartphone. The approach is isothermal and label-free without any surface modification of nanomaterials, which holds great potential for the detection of nucleic acids in clinical applications.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"114 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143031269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Color-Coded Traffic Signal Method Combined with Nanodiamond Quantum Sensing for Accurate miRNA Detection.","authors":"Wei Wang, Youqiang Xing, Lei Liu, Min Wu, Peng Huang, Bingjue Li, Ze Wu","doi":"10.1021/acssensors.4c02511","DOIUrl":"10.1021/acssensors.4c02511","url":null,"abstract":"<p><p>Background noise interferes with the accurate detection of early tumor biomarkers. This study introduces a method that effectively reduces background noise to enhance detection accuracy by combining a color-coded signaling approach with the unique fluorescent properties and room-temperature tunable quantum spin characteristics of fluorescent diamonds (FNDs) with nitrogen-vacancy centers. In this approach, a red signal indicates the presence of the target analyte within the spectral region, a green signal indicates its absence, and a yellow signal indicates the need for further analysis using FNDs' quantum spin properties for optical detection magnetic resonance (ODMR) to distinguish the FND signal from background noise. Preliminary results demonstrate that this method enables the detection of breast cancer-related miRNA-21 and miRNA-96 concentrations as low as 1 fM within a 100 × 100 μm² area, achieving single-molecule detection capability. This method is suitable for accurate biomarker identification and detection under high-background fluorescence conditions.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":"310-319"},"PeriodicalIF":8.2,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142875478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Some of Our Favorite Papers from the First 10 Years of ACS Sensors","authors":"J. Justin Gooding","doi":"10.1021/acssensors.4c03746","DOIUrl":"https://doi.org/10.1021/acssensors.4c03746","url":null,"abstract":"This issue is the first of the 10th volume of &lt;i&gt;ACS Sensors&lt;/i&gt;. On August 16th it will be exactly 10 years since the very first submissions to the journal. I was sitting in my hotel room in Boston, where the ACS Fall Meeting was being held, when I opened my computer to discover 7 papers on the morning after the very first day of submissions. I was stunned. After assigning the papers, I walked across Boston to a café where I met the first Managing Editor of &lt;i&gt;ACS Sensors&lt;/i&gt;, Antonella Mazur, for the very first time. She was equally surprised with the number of first day submissions, and &lt;i&gt;ACS Sensors&lt;/i&gt; has been exceeding expectations ever since. That first day success, and every day ever since, has been because of the support of the authorship. Back in 2015, there was clearly a thirst for a sensing journal that had a strong molecular focus and a thirst for a society journal in sensing. Fortunately, there still is, with the journal currently going through a rapid expansion phase as you, the authors, are submitting more and more great sensing papers. To mark this 10th year, and this very first issue of the 10th volume of &lt;i&gt;ACS Sensors&lt;/i&gt;, we asked our current editors to each pick their 5 favorite papers from the first 10 years. We have assembled these into a Collection that is also released at the beginning of 2025. These are all absolutely stunning papers; see them listed below, (1−49) many of which have been cited very well, but some less so because the work is so complete it is hard for others to improve upon. I asked myself if there are any trends in what the editors picked, other than the papers showcasing great work? The answer was, there definitely is! Of the trends we see, it is unsurprising that gas sensors and wearable sensors were the most popular subjects. These represent possibly the most successful area of sensing, gas sensors, and possibly the hottest trend in sensors at the moment, wearables. They are also highly cited areas of sensing with lots of researcher interest. In fact we are just completing a Special Issue on breath sensors which effectively joins gas sensors with wearable sensors. The third really popular topic is SERS sensors. This was less expected to me but reflects the continued growth of interest in Raman spectroscopy in sensing. What these three areas of popularity also share is a strong materials focus. In gas sensors a lot of the innovation comes from better performing materials with a strong focus on composition. With SERS there is a strong focus on the precision of synthesis of materials, and with wearables it is the physical properties of the materials, especially flexibility and electronic properties which are so vital. Apart from the type of sensor, there are other common themes in many of these papers. A lot of papers focus on how to make sensors that can operate in whole blood and &lt;i&gt;in vivo&lt;/i&gt;, which we see aligning with the focus of &lt;i&gt;ACS Sensors&lt;/i&gt; on showing how well the sensors perform in the","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"74 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultra-Sensitive Detection of Bacterial Spores via SERS.","authors":"Jonas Segervald, Dmitry Malyshev, Rasmus Öberg, Erik Zäll, Xueen Jia, Thomas Wågberg, Magnus Andersson","doi":"10.1021/acssensors.4c03151","DOIUrl":"https://doi.org/10.1021/acssensors.4c03151","url":null,"abstract":"<p><p>Bacterial spores are highly resilient and capable of surviving extreme conditions, making them a persistent threat in contexts such as disease transmission, food safety, and bioterrorism. Their ability to withstand conventional sterilization methods necessitates rapid and accurate detection techniques to effectively mitigate the risks they present. In this study, we introduce a surface-enhanced Raman spectroscopy (SERS) approach for detecting <i>Bacillus thuringiensis</i> spores by targeting calcium dipicolinate acid (CaDPA), a biomarker uniquely associated with bacterial spores. Our method uses probe sonication to disrupt spores, releasing their CaDPA, which is then detected by SERS on drop-dried supernatant mixed with gold nanorods. This simple approach enables the selective detection of CaDPA, distinguishing it from other spore components and background noise. We demonstrate detection of biogenic CaDPA from concentrations as low as 10³ spores/mL, with sensitivity reaching beyond CaDPA levels of a single spore. Finally, we show the method's robustness by detecting CaDPA from a realistic sample of fresh milk mixed with spores. These findings highlight the potential of SERS as a sensitive and specific technique for bacterial spore detection, with implications for fields requiring rapid and reliable spore identification.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":""},"PeriodicalIF":8.2,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visualization of Apical-Basal Stress Polarity Regulating Directed Cell Migration with a FRET-Based Biosensor","authors":"Cunli Wang, Dengyue Xu, Shuai Shao, Jinxin Han, Na Li, Zhengyao Zhang, Hangyu Zhang, Bo Liu","doi":"10.1021/acssensors.4c00628","DOIUrl":"https://doi.org/10.1021/acssensors.4c00628","url":null,"abstract":"Intracellular morphological apical-basal polarity, regulated by conserved polarity proteins, plays a crucial role in cell migration and metastasis. In this study, using a genetically encoded Förster resonance energy transfer (FRET) biosensor to visually present the spatiotemporal stress state between the lipid rafts on the membrane and the linked actin, we first provide the evidence for the existence of intrinsic apical-basal stress polarity in tumor cells and demonstrate that this polarity is a prerequisite for the formation of flow-induced front-back stress polarity. Interestingly, our study revealed that the front-back stress polarity disappeared upon the disruption of intrinsic apical-basal stress discrepancy, resulting in a large attenuated cell migration activity reduced from 76.2 ± 3.5% to 10 ± 4.9%. This unexpected discovery not only highlights the significance of apical-basal stress polarity as another factor influencing cell migration but also indicates that the disruption of apical-basal polarity in stress might be a novel therapeutic approach for tumor metastasis.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"13 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}