ACS Sensors最新文献

Optical Aptamer-Based Cytokine Nanosensor Detects Macrophage Activation by Bacterial Toxins.

IF 8.2 1区化学

ACS Sensors Pub Date : 2024-06-27 DOI: 10.1021/acssensors.4c00887

Amelia K Ryan, Syeda Rahman, Ryan M Williams

{"title":"Optical Aptamer-Based Cytokine Nanosensor Detects Macrophage Activation by Bacterial Toxins.","authors":"Amelia K Ryan, Syeda Rahman, Ryan M Williams","doi":"10.1021/acssensors.4c00887","DOIUrl":"https://doi.org/10.1021/acssensors.4c00887","url":null,"abstract":"Overactive or dysregulated cytokine expression is a hallmark of many acute and chronic inflammatory diseases. This is true for acute or chronic infections, neurodegenerative diseases, autoimmune diseases, cardiovascular diseases, cancer, and others. Cytokines such as interleukin-6 (IL-6) are known therapeutic targets and biomarkers for such inflammatory diseases. Platforms for cytokine detection are, therefore, desirable tools for both research and clinical applications. Single-walled carbon nanotubes (SWCNT) are versatile nanomaterials with near-infrared fluorescence that can serve as transducers for optical sensors. When functionalized with an analyte-specific recognition element, SWCNT emission may become sensitive and selective toward the desired target. SWCNT-aptamer sensors are easily assembled, inexpensive, and biocompatible. In this work, we introduced a nanosensor design based on SWCNT and a DNA aptamer specific to IL-6. We first evaluated several SWCNT-aptamer constructs based on this simple direct complexation method, wherein the aptamer both solubilizes the SWCNT and confers sensitivity to IL-6. The sensor limit of detection, 105 ng/mL, lies in the relevant range for pathological IL-6 levels. Upon investigation of sensor kinetics, we found rapid response within seconds of antigen addition which continued over the course of 3 h. We found that this sensor construct is stable and the aptamer is not displaced from the nanotube surface during IL-6 detection. Finally, we investigated the ability of this sensor construct to detect macrophage activation caused by bacterial lipopolysaccharides (LPS) in an in vitro model of disease, finding rapid and sensitive detection of macrophage-expressed IL-6. We are confident that further development of this sensor will have novel implications for diagnosis of acute and chronic inflammatory diseases, in addition to contributing to the understanding of the role of cytokines in these diseases.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141453680","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}

引用次数: 0

Fragment-Fusion Transformer: Deep Learning-Based Discretization Method for Continuous Single-Cell Raman Spectral Analysis.

IF 8.2 1区化学

ACS Sensors Pub Date : 2024-06-27 DOI: 10.1021/acssensors.4c00149

Qiang Yu, Xiaokun Shen, LangLang Yi, Minghui Liang, Guoqian Li, Zhihui Guan, Xiaoyao Wu, Helene Castel, Bo Hu, Pengju Yin, Wenbo Zhang

{"title":"Fragment-Fusion Transformer: Deep Learning-Based Discretization Method for Continuous Single-Cell Raman Spectral Analysis.","authors":"Qiang Yu, Xiaokun Shen, LangLang Yi, Minghui Liang, Guoqian Li, Zhihui Guan, Xiaoyao Wu, Helene Castel, Bo Hu, Pengju Yin, Wenbo Zhang","doi":"10.1021/acssensors.4c00149","DOIUrl":"https://doi.org/10.1021/acssensors.4c00149","url":null,"abstract":"Raman spectroscopy has become an important single-cell analysis tool for monitoring biochemical changes at the cellular level. However, Raman spectral data, typically presented as continuous data with high-dimensional characteristics, is distinct from discrete sequences, which limits the application of deep learning-based algorithms in data analysis due to the lack of discretization. Herein, a model called fragment-fusion transformer is proposed, which integrates the discrete fragmentation of continuous spectra based on their intrinsic characteristics with the extraction of intrafragment features and the fusion of interfragment features. The model integrates the intrinsic feature-based fragmentation of spectra with transformer, constructing the fragment transformer block for feature extraction within fragments. Interfragment information is combined through the pyramid design structure to improve the model's receptive field and fully exploit the spectral properties. During the pyramidal fusion process, the information gain of the final extracted features in the spectrum has been enhanced by a factor of 9.24 compared to the feature extraction stage within the fragment, and the information entropy has been enhanced by a factor of 13. The fragment-fusion transformer achieved a spectral recognition accuracy of 94.5%, which is 4% higher compared to the method without fragmentation and fusion processes on the test set of cell Raman spectroscopy identification experiments. In comparison to common spectral classification models such as KNN, SVM, logistic regression, and CNN, fragment-fusion transformer has achieved 4.4% higher accuracy than the best-performing CNN model. Fragment-fusion transformer method has the potential to serve as a general framework for discretization in the field of continuous spectral data analysis and as a research tool for analyzing the intrinsic information within spectra.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141453679","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}

引用次数: 0

Self-Powered and Self-Recovered Mechanoluminescent Electronic Skins for Detecting and Distinguishing Diverse External Stimuli. 用于检测和区分各种外部刺激的自供电和自恢复机械发光电子皮肤。

IF 8.2 1区化学

ACS Sensors Pub Date : 2024-06-26 DOI: 10.1021/acssensors.4c01061

Nan Lin, Yang Zhang, Zhen Xiao, Yaowu Wang, Yongjie Yu, Shiqing Xu, Gongxun Bai

{"title":"Self-Powered and Self-Recovered Mechanoluminescent Electronic Skins for Detecting and Distinguishing Diverse External Stimuli.","authors":"Nan Lin, Yang Zhang, Zhen Xiao, Yaowu Wang, Yongjie Yu, Shiqing Xu, Gongxun Bai","doi":"10.1021/acssensors.4c01061","DOIUrl":"https://doi.org/10.1021/acssensors.4c01061","url":null,"abstract":"The concept of simulating external mechanical stimuli to generate luminescence has been a long-standing aspiration in real-time dynamic visualization. However, creating self-power and self-restoring mechanoluminescent electronic skins for artificial sensors poses significant challenges. In this study, we introduce a cutting-edge triboelectric-mechanoluminescent electronic skin (TMES) that exhibits a remarkable response to multiple external stimuli. This advancement is achieved by integrating a mechanoluminescent intermediate layer within a triboelectric nanogenerator (TENG). When pressure is applied to TMES, the maximum detection voltage can reach hundreds of volts and the maximum correlation sensitivity is 11.76 V/N. Moreover, we incorporate luminescence materials into mechanoluminescence layer, and the maximum absolute sensitivity SR can reach 1.41%. The device can not only distinguish between external stimuli such as pressing and bending but also continuously track external mechanical stimuli. A 4 × 4 matrix and motion prediction of 8 different postures were established to further demonstrate the significant advantages of the developed device in spatial detection. The versatility and performance of the TMES hint at its vast potential in areas such as human-computer interaction and wearable electronics, paving the way for more intuitive and dynamic technological interfaces.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141449032","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}

引用次数: 0

Biofluorometric Gas-Imaging System for Evaluating the Ripening Stages of "La France" Pear Based on Ethanol Vapor Emitted via the Epicarp. 基于外果皮散发的乙醇蒸汽评估 "La France "梨成熟阶段的生物荧光气体成像系统。

IF 8.2 1区化学

ACS Sensors Pub Date : 2024-06-25 DOI: 10.1021/acssensors.4c00642

Kenta Iitani, Kenta Ichikawa, Koji Toma, Takahiro Arakawa, Kohji Mitsubayashi

{"title":"Biofluorometric Gas-Imaging System for Evaluating the Ripening Stages of \"La France\" Pear Based on Ethanol Vapor Emitted via the Epicarp.","authors":"Kenta Iitani, Kenta Ichikawa, Koji Toma, Takahiro Arakawa, Kohji Mitsubayashi","doi":"10.1021/acssensors.4c00642","DOIUrl":"https://doi.org/10.1021/acssensors.4c00642","url":null,"abstract":"Fruits can emit ethanol, which is generated through fermentation during hypoxic storage. We imaged spatiotemporal changes in the gaseous ethanol emitted by \"La France\" pear via its epicarp. The gas-imaging system utilized enzymes to transduce the ethanol concentration into fluorescence intensity. Initially, the uniformity of the enzyme and coenzyme distribution was evaluated to validate the imaging capability. Subsequently, two surface-fitting methods were compared to accurately image ethanol emitted from three-dimensional (3D) objects with a double-curved surface. The imaging results of ethanol emitted from the pear indicated that the distribution of ethanol was related to lenticels, which have been reported to possess high ethanol diffusivity, on the epicarp. As quantified by the system (uniformity of coenzyme and enzymes was 93.2 and 98.8%, respectively; dynamic range was 0.01-100 ppm), ethanol concentration increased with the storage period under hypoxic conditions (0.4-5.3 ppm, from day 1 to 10). The system enables the observation of the location, quantity, and temporal pattern of ethanol release from fruit, which could be a useful technology for agricultural applications.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141449031","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}

引用次数: 0

Ultrathin WO₃ Nanosheets/Pd with Strong Metal-Support Interactions for Highly Sensitive and Selective Detection of Mustard-Gas Simulants. 具有强金属支撑相互作用的超薄 WO3 纳米片/钯用于高灵敏度和选择性检测芥子气模拟物。

IF 8.2 1区化学

ACS Sensors Pub Date : 2024-06-25 DOI: 10.1021/acssensors.4c01002

Haizhen Li, Gang Wu, Jina Wu, Jun Shen, Likun Chen, Jingjing Zhang, Yuyin Mao, Hefeng Cheng, Maolin Zhang, Qingyu Ma, Yongchao Zheng

{"title":"Ultrathin WO3 Nanosheets/Pd with Strong Metal-Support Interactions for Highly Sensitive and Selective Detection of Mustard-Gas Simulants.","authors":"Haizhen Li, Gang Wu, Jina Wu, Jun Shen, Likun Chen, Jingjing Zhang, Yuyin Mao, Hefeng Cheng, Maolin Zhang, Qingyu Ma, Yongchao Zheng","doi":"10.1021/acssensors.4c01002","DOIUrl":"https://doi.org/10.1021/acssensors.4c01002","url":null,"abstract":"Exposure to mustard gas can cause damage or death to human beings, depending on the concentration and duration. Thus, developing high-performance mustard-gas sensors is highly needed for early warning. Herein, ultrathin WO3 nanosheet-supported Pd nanoparticles hybrids (WO3 NSs/Pd) are prepared as chemiresistive sulfur mustard simulant (e.g., 2-chloroethyl ethyl sulfide, 2-CEES) gas sensors. As a result, the optimal WO3 NSs/Pd-2 (2 wt % of Pd)-based sensor exhibits a high response of 8.5 and a rapid response/recovery time of 9/92 s toward 700 ppb 2-CEES at 260 °C. The detection limit could be as low as 15 ppb with a response of 1.4. Moreover, WO3 NSs/Pd-2 shows good repeatability, 30-day operating stability, and good selectivity. In WO3 NSs/Pd-2, ultrathin WO3 NSs are rich in oxygen vacancies, offer more sites to adsorb oxygen species, and make their size close to or even within the thickness of the so-called electron depletion layer, thus inducing a large resistance change (response). Moreover, strong metal-support interactions (SMSIs) between WO3 NSs and Pd nanoparticles enhance the catalytic redox reaction performance, thereby achieving a superior sensing performance toward 2-CEES. These findings in this work provide a new approach to optimize the sensing performance of a chemiresistive sensor by constructing SMSIs in ultrathin metal oxides.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141449033","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}

引用次数: 0

Standalone Stretchable Biophysical Sensing System Based on Laser Direct Write of Patterned Porous Graphene/Co₃O₄ Nanocomposites. 基于激光直接写入图案化多孔石墨烯/Co3O4 纳米复合材料的独立可拉伸生物物理传感系统。

IF 8.2 1区化学

ACS Sensors Pub Date : 2024-06-25 DOI: 10.1021/acssensors.4c00916

Xiaohong Ding, Jin Xu, Jie Xu, Jinyun Zhao, Ruilai Liu, Longhui Zheng, Jun Wang, Yang Zhang, Zixiang Weng, Chen Zhang, Lixin Wu, Huanyu Cheng, Cheng Zhang

{"title":"Standalone Stretchable Biophysical Sensing System Based on Laser Direct Write of Patterned Porous Graphene/Co3O4 Nanocomposites.","authors":"Xiaohong Ding, Jin Xu, Jie Xu, Jinyun Zhao, Ruilai Liu, Longhui Zheng, Jun Wang, Yang Zhang, Zixiang Weng, Chen Zhang, Lixin Wu, Huanyu Cheng, Cheng Zhang","doi":"10.1021/acssensors.4c00916","DOIUrl":"https://doi.org/10.1021/acssensors.4c00916","url":null,"abstract":"Skin-interfaced wearable sensors can continuously monitor various biophysical and biochemical signals for health monitoring and disease diagnostics. However, such devices are typically limited by unsatisfactory and unstable output performance of the power supplies under mechanical deformations and human movements. Furthermore, there is also a lack of a simple and cost-effective fabrication technique to fabricate and integrate varying materials in the device system. Herein, we report a fully integrated standalone stretchable biophysical sensing system by combining wearable biophysical sensors, triboelectric nanogenerator (TENG), microsupercapacitor arrays (MSCAs), power management circuits, and wireless transmission modules. All of the device components and interconnections based on the three-dimensional (3D) networked graphene/Co3O4 nanocomposites are fabricated via low-cost and scalable direct laser writing. The self-charging power units can efficiently harvest energy from body motion into a stable and adjustable voltage/current output to drive various biophysical sensors and wireless transmission modules for continuously capturing, processing, and wirelessly transmitting various signals in real-time. The novel material modification, device configuration, and system integration strategies provide a rapid and scalable route to the design and application of next-generation standalone stretchable sensing systems for health monitoring and human-machine interfaces.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141445529","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}

引用次数: 0

Immunoassays for Extracellular Vesicle Detection via Transmembrane Proteins Using Surface Plasmon Resonance Biosensors. 利用表面等离子体共振生物传感器通过跨膜蛋白检测细胞外囊泡的免疫测定方法。

IF 8.2 1区化学

ACS Sensors Pub Date : 2024-06-24 DOI: 10.1021/acssensors.4c00558

Jesus M Lopez Baltazar, Wenchao Gu, Markéta Bocková, Qiuming Yu

{"title":"Immunoassays for Extracellular Vesicle Detection via Transmembrane Proteins Using Surface Plasmon Resonance Biosensors.","authors":"Jesus M Lopez Baltazar, Wenchao Gu, Markéta Bocková, Qiuming Yu","doi":"10.1021/acssensors.4c00558","DOIUrl":"https://doi.org/10.1021/acssensors.4c00558","url":null,"abstract":"Extracellular vesicles (EVs) are preeminent carriers of biomarkers and have become the subject of intense biomedical research for medical diagnostics using biosensors. To create effective EV-based immunoassays, it is imperative to develop surface chemistry approaches with optimal EV detection targeting transmembrane protein biomarkers that are not affected by cell-to-cell variability. Here, we developed a series of immunoassays for the detection of EVs derived from mouse monocyte cells using surface plasmon resonance (SPR) biosensors. We chemically immobilized antibodies onto mixed self-assembled monolayers of oligo ethylene glycol (OEG) alkanethiolates with carboxylic and hydroxylic terminal groups. The effects of antibody clonality (monoclonal vs polyclonal) and antibody surface coverage in targeting EVs via CD81 tetraspanins were investigated. We determined binding kinetic parameters, establishing trends from steric hindrance effects and epitope recognition properties of antibodies. Our results indicate that a 40% surface coverage of polyclonal antibodies covalently linked onto a mixed SAM with 10% of terminated -COOH groups yields a promising approach for EV detection with a linear range of 1.9 × 108-1.9 × 109 EVs/mL and a limit of detection of 5.9 × 106 EVs/mL. This optimal immunoassay exhibits a 1.92 nM equilibrium dissociation constant for bound EVs, suggesting a high binding affinity when CD81 is targeted. Our study provides important insights into surface chemistry development for EV detection targeted via transmembrane protein biomarkers using antibodies, which has promising applications for disease diagnostics.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141441708","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}

引用次数: 0

Antibody-Driven Assembly of Plasmonic Core-Satellites to Increase the Sensitivity of a SERS Vertical Flow Immunoassay. 抗体驱动的质子核心卫星组装提高了 SERS 垂直流免疫测定的灵敏度。

IF 8.2 1区化学

ACS Sensors Pub Date : 2024-06-24 DOI: 10.1021/acssensors.4c01052

Eunice Ebbah, Anthony Amissah, Jun-Hyun Kim, Jeremy D Driskell

{"title":"Antibody-Driven Assembly of Plasmonic Core-Satellites to Increase the Sensitivity of a SERS Vertical Flow Immunoassay.","authors":"Eunice Ebbah, Anthony Amissah, Jun-Hyun Kim, Jeremy D Driskell","doi":"10.1021/acssensors.4c01052","DOIUrl":"https://doi.org/10.1021/acssensors.4c01052","url":null,"abstract":"Here, we describe a SERS-based vertical flow assay as a platform technology suitable for point-of-care (POC) diagnostic testing. A capture substrate is constructed from filter paper embedded with spherical gold nanoparticles (AuNPs) and functionalized with an appropriate capture antibody. The capture substrate is loaded into a filtration device and connected to a syringe to rapidly and repeatedly pass the sample through the sensor for efficient antigen binding. The antigen is then labeled with a SERS-active detection probe. We show that only a few Raman reporter molecules, exclusively located adjacent to the plasmonic capture substrate, generate detectible signals. To maximize the signal from underutilized Raman reporter molecules, we employ a secondary signal enhancing probe that undergoes antibody-directed assembly to form plasmonic core-satellites. This facile enhancement step provides a 3.5-fold increase in the signal and a detection limit of 0.23 ng/mL (1.6 pM) for human IgG. This work highlights the potential to rationally design plasmonic architectures using widely available and reproducible spherical AuNPs to achieve large SERS enhancements for highly sensitive POC diagnostics.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141441707","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}

引用次数: 0

CS/PVP Hydrogel-Based Nanocapillary for Monitoring Bacterial Growth and Rapid Antibiotic Susceptibility Testing. 基于 CS/PVP 水凝胶的纳米毛细管，用于监测细菌生长和快速抗生素敏感性测试。

IF 8.2 1区化学

ACS Sensors Pub Date : 2024-06-22 DOI: 10.1021/acssensors.4c00381

Hai-Shan Cui, Zhang-Rong Wu, Xiao-Yan Shi, Gang-Qiang Dong, Shou-Nian Ding, Ning Bao, Chun-Mei Yu, Zeng-Qiang Wu

{"title":"CS/PVP Hydrogel-Based Nanocapillary for Monitoring Bacterial Growth and Rapid Antibiotic Susceptibility Testing.","authors":"Hai-Shan Cui, Zhang-Rong Wu, Xiao-Yan Shi, Gang-Qiang Dong, Shou-Nian Ding, Ning Bao, Chun-Mei Yu, Zeng-Qiang Wu","doi":"10.1021/acssensors.4c00381","DOIUrl":"https://doi.org/10.1021/acssensors.4c00381","url":null,"abstract":"Infection with drug-resistant bacteria poses a significant threat to human health. Judicious use of antibiotics could reduce the likelihood of bacterial resistance, which can be evaluated through antibiotic susceptibility testing (AST). This paper focuses on the application of a needle-like nanocapillary tip filled with chitosan (CS)/polyethylene pyrrolidone (PVP) hydrogel based on its specific pH-sensitive properties. The gel-filled nanocapillary has the potential to be used for electrical pH detection with a sensitivity of 3.06 nA/pH and a linear range from 7.3 to 4.3. Such sensitivity for pH measurement could be extended for monitoring of bacterial (such as Escherichia coli and Streptococcus salivarius) growth because of the relationship between pH and bacterial growth. Bacterial growth curves obtained using the hydrogel-filled nanocapillary showed good agreement with the OD600 method. Moreover, this device could be applied for rapid AST for tetracycline and norfloxacin on E. coli with minimum inhibitory concentrations of 2 and 0.125 μg/mL, respectively. This study expands the application of the hydrogel-based nanocapillary for bacterial research by monitoring changes in pH values.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141439885","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}

引用次数: 0

Room-Temperature Sensing Mechanism of GQDs/BiSbO₄ Nanorod Clusters: Experimental and Density Functional Theory Study. GQDs/BiSbO4 纳米棒团簇的室温传感机制：实验与密度泛函理论研究。

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-06-19 DOI: 10.1021/acssensors.4c00670

Zichen Zheng, Kewei Liu, Yiwen Zhou, Kaichun Xu, Marc Debliquy, Chao Zhang

{"title":"Room-Temperature Sensing Mechanism of GQDs/BiSbO4 Nanorod Clusters: Experimental and Density Functional Theory Study.","authors":"Zichen Zheng, Kewei Liu, Yiwen Zhou, Kaichun Xu, Marc Debliquy, Chao Zhang","doi":"10.1021/acssensors.4c00670","DOIUrl":"https://doi.org/10.1021/acssensors.4c00670","url":null,"abstract":"Creating high-performance gas sensors for heptanal detection at room temperature demands the development of sensing materials that incorporate distinct spatial configurations, functional components, and active surfaces. In this study, we employed a straightforward method combining hydrothermal strategy with ultrasonic processing to produce mesoporous graphene quantum dots/bismuth antimonate (GQDs/BiSbO4) with nanorod cluster forms. The BiSbO4 was incorporated with appropriate contents of GQDs resulting in significantly improved attributes such as heightened sensitivity (59.6@30 ppm), a lower threshold for detection (356 ppb), and quicker period for response (40 s). A synergistic mechanism that leverages the inherent advantages of BiSbO4 was proposed, while its distinctive mesoporous hollow cubic structure, the presence of oxygen vacancies, and the catalytic enhancement provided by GQDs lead to a marked improvement in heptanal detection. This work introduces a straightforward and effective method for crafting sophisticated micro-nanostructures that optimize spatial design, functionality, and active mesoporous surfaces, showing great promise for heptanal sensing applications.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141425619","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}

引用次数: 0