IF 8.9 1区化学

ACS Sensors Pub Date : 2024-10-21 DOI: 10.1021/acssensors.4c01097

Xingyu Ma, Da Chen, Quanlin Qu, Shengmei Liao, Menghan Wang, Hanning Wang, Ziyue Chen, Tong Zhang, Fei Wang, Yijian Liu

{"title":"Directional Characteristic Enhancement of an Omnidirectional Detection Sensor Enabled by Strain Partitioning Effects in a Periodic Composite Hole Substrate","authors":"Xingyu Ma, Da Chen, Quanlin Qu, Shengmei Liao, Menghan Wang, Hanning Wang, Ziyue Chen, Tong Zhang, Fei Wang, Yijian Liu","doi":"10.1021/acssensors.4c01097","DOIUrl":"https://doi.org/10.1021/acssensors.4c01097","url":null,"abstract":"An omnidirectional stretchable strain sensor with high resolution is a critical component for motion detection and human–machine interaction. It is the current dominant solution to integrate several consistent units into the omnidirectional sensor based on a certain geometric structure. However, the excessive similarity in orientation characteristics among sensing units restricts orientation recognition due to their closely matched strain sensitivity. In this study, based on strain partition modulation (SPM), a sensitivity anisotropic amplification strategy is proposed for resistive strain sensors. The stress distribution of a sensitive conductive network is modulated by structural parameters of the customized periodic hole array introduced underneath the elastomer substrate. Meanwhile, the strain isolation structures are designed on both sides of the sensing unit for stress interference immune. The optimized sensors exhibit excellent sensitivity (19 for 0–80%; 109 for 80%–140%; 368 for 140%–200%), with nearly a 7-fold improvement in the 140%–200% interval compared to bare elastomer sensors. More importantly, a sensing array composed of multiple units with different hole configurations can highlight orientation characteristics with amplitude difference between channels reaching up to 29 times. For the 48-class strain-orientation decoupling task, the recognition rate of the sensitivity-differentiated layout sensor with the lightweight deep learning network is as high as 96.01%, superior to that of 85.7% for the sensitivity-consistent layout. Furthermore, the application of the sensor to the fitness field demonstrates an accurate recognition of the wrist flexion direction (98.4%) and spinal bending angle (83.4%). Looking forward, this methodology provides unique prospects for broader applications such as tactile sensors, soft robotics, and health monitoring technologies.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142452415","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

Converting Multiple- to Single-DNA-Tethered Beads and Removing Only-One-End-Tethered DNA in High-Throughput Stretching 在高通量拉伸过程中将多DNA系留珠转换为单DNA系留珠，并去除仅一端系留的DNA

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-10-18 DOI: 10.1021/acssensors.4c02585

Er-Chi Zhou, Hang Fu, Hao-Ze Wang, Ya-Jun Yang, Xing-Hua Zhang

{"title":"Converting Multiple- to Single-DNA-Tethered Beads and Removing Only-One-End-Tethered DNA in High-Throughput Stretching","authors":"Er-Chi Zhou, Hang Fu, Hao-Ze Wang, Ya-Jun Yang, Xing-Hua Zhang","doi":"10.1021/acssensors.4c02585","DOIUrl":"https://doi.org/10.1021/acssensors.4c02585","url":null,"abstract":"S-DNA is a double-stranded DNA that forms under tensions of >65 pN. Here, we report that S-DNA resists the cleavage of Cas12a and the restriction endonuclease SmaI. Taking advantage of this resistance, in magnetic tweezer experiments, we developed an assay to convert multiple-DNA-tethered beads into single-DNA-tethered beads and remove the only-one-end-tethered DNA molecule by cleaving the DNA that does not transition to S-DNA at about 80 pN. When multiple DNA molecules are tethered to a single bead, they share the tension, exist in the B-form, and allow the cleavage. Only-one-end-tethered DNA molecules, free of tension, are also cleaved. In versatile types of experiments, we proved the broad applications of this assay: measuring the correct DNA elasticity and DNA condensation dynamics by avoiding the false results due to interference of only-one-end-tethered DNA molecules and quantifying the accurate cleavage rates of Cas12a and the restriction endonucleases by eliminating the error caused by multiple-DNA-tethered beads. This convenient assay ensures correct and accurate results in high-throughput DNA stretching experiments.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142449712","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

Multipedal DNA Walker: Engineering Strategy, Biosensing Application and Future Perspectives 多重 DNA Walker：工程策略、生物传感应用和未来展望

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-10-18 DOI: 10.1021/acssensors.4c02251

Xiuyuan Yao, Linyao Wang, Jie Luo, Chuyan Zhang, Yongxin Li

引用次数: 0

Influence of Carbon-Nitride Dot-Emitting Species and Evolution on Fluorescence-Based Sensing and Differentiation. 氮化碳点发光物种和演化对基于荧光的传感和分辨的影响

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-10-18 DOI: 10.1021/acssensors.4c01198

Eric R Westphal,Kenneth M Plackowski,Michael J Holzmann,Alexandra M Outka,Dongchang Chen,Koushik Ghosh,John K Grey

{"title":"Influence of Carbon-Nitride Dot-Emitting Species and Evolution on Fluorescence-Based Sensing and Differentiation.","authors":"Eric R Westphal,Kenneth M Plackowski,Michael J Holzmann,Alexandra M Outka,Dongchang Chen,Koushik Ghosh,John K Grey","doi":"10.1021/acssensors.4c01198","DOIUrl":"https://doi.org/10.1021/acssensors.4c01198","url":null,"abstract":"Carbon dots have attracted widespread interest for sensing applications based on their low cost, ease of synthesis, and robust optical properties. We investigate structure-function evolution on multiemitter fluorescence patterns for model carbon-nitride dots (CNDs) and their implications on trace-level sensing. Hydrothermally synthesized CNDs with different reaction times were used to determine how specific functionalities and their corresponding fluorescence signatures respond upon the addition of trace-level analytes. Archetype explosives molecules were chosen as a testbed due to similarities in substituent groups or inductive properties (i.e., electron withdrawing), and solution-based assays were performed using ratiometric fluorescence excitation-emission mapping (EEM). Analyte-specific quenching and enhancement responses were observed in EEM landscapes that varied with the CND reaction time. We then used self-organizing map models to examine EEM feature clustering with specific analytes. The results reveal that interactions between carbon-nitride frameworks and molecular-like species dictate response characteristics that may be harnessed to tailor sensor development for specific applications.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142449246","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

A Nonfouling Electrochemical Biosensor for Protein Analysis in Complex Body Fluids Based on Multifunctional Peptide Conjugated with PEGlyated Phospholipid 基于与 PEGlyated 磷脂共轭的多功能肽的用于复杂体液中蛋白质分析的防污电化学生物传感器

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-10-17 DOI: 10.1021/acssensors.4c02425

Yang Li, Rui Han, Baoping Zhu, Wenqing Wang, Zhen Song, Xiliang Luo

{"title":"A Nonfouling Electrochemical Biosensor for Protein Analysis in Complex Body Fluids Based on Multifunctional Peptide Conjugated with PEGlyated Phospholipid","authors":"Yang Li, Rui Han, Baoping Zhu, Wenqing Wang, Zhen Song, Xiliang Luo","doi":"10.1021/acssensors.4c02425","DOIUrl":"https://doi.org/10.1021/acssensors.4c02425","url":null,"abstract":"Developing antifouling biosensors capable of performing robustly in complex human body fluids is crucial for biomarker diagnosis and health monitoring. Herein, an antifouling and highly sensitive and stable biosensor was constructed through the self-assembly of the designed conjugates composed of a multifunctional peptide (MP) and PEGylated distearoylphosphatidylethanolamine (DSPE-PEG). The self-assembly capability of the DSPE-PEG-MP was demonstrated clearly through coarse-grained molecular dynamics simulation and transmission electron microscopy, and it can be effectively self-assembled onto the electrode surface modified with gold nanoparticles. The MP was designed to be antifouling and contained a peptide sequence that can specifically bind the target protein Annexin A1 (ANXA1), and the D-type amino acid composition of MP can enhance its resistance to enzymatic hydrolysis. The unique design of MP, in conjugation with the self-assembly capability of the PEGylated phospholipid DSPE-PEG, enabled the biosensor to exhibit excellent antifouling capability and stability in various complex human body fluids. The biosensor was capable of sensitively and selectively quantifying ANXA1 and achieved a limit of detection down to 0.12 pg mL–1. More importantly, the biosensor demonstrated satisfactory accuracy for ANXA1 detection in clinical serum samples, as verified by the enzyme linked immunosorbent assay (ELISA) kits. It is expected that various antifouling biosensors suitable for application in complex biological environments can be constructed by utilizing the strategy of designing similar DSPE-PEG-MP conjugates.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142444277","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

Multiwavelength Surface-Enhanced Raman Scattering Fingerprints of Human Urine for Cancer Diagnosis 用于癌症诊断的人体尿液多波长表面增强拉曼散射指纹图谱

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-10-17 DOI: 10.1021/acssensors.4c01873

Yuqing Gu, Jiayi Wang, Zhewen Luo, Xingyi Luo, Linley Li Lin, Shuang Ni, Cong Wang, Haoran Chen, Zehou Su, Yao Lu, Li-Yong Gan, Zhou Chen, Jian Ye

{"title":"Multiwavelength Surface-Enhanced Raman Scattering Fingerprints of Human Urine for Cancer Diagnosis","authors":"Yuqing Gu, Jiayi Wang, Zhewen Luo, Xingyi Luo, Linley Li Lin, Shuang Ni, Cong Wang, Haoran Chen, Zehou Su, Yao Lu, Li-Yong Gan, Zhou Chen, Jian Ye","doi":"10.1021/acssensors.4c01873","DOIUrl":"https://doi.org/10.1021/acssensors.4c01873","url":null,"abstract":"Label-free surface-enhanced Raman spectroscopy (SERS) is capable of capturing rich compositional information from complex biosamples by providing vibrational spectra that are crucial for biosample identification. However, increasing complexity and subtle variations in biological media can diminish the discrimination accuracy of traditional SERS excited by a single laser wavelength. Herein, we introduce a multiwavelength SERS approach combined with machine learning (ML)-based classification to improve the discrimination accuracy of human urine specimens for bladder cancer (BCa) diagnosis. This strategy leverages the excitation-wavelength-dependent SERS spectral profiles of complex matrices, which are mainly attributed to wavelength-related vibrational changes in individual analytes and differences in the variation ratios of SERS intensity across different wavelengths among various analytes. By capturing SERS fingerprints under multiple excitation wavelengths, we can acquire more comprehensive and unique chemical information on complex samples. Further experimental examinations with clinical urine specimens, supported by ML algorithms, demonstrate the effectiveness of this multiwavelength strategy and improve the diagnostic accuracy of BCa and staging of its invasion with SERS spectra from increasing numbers of wavelengths. The multiwavelength SERS holds promise as a convenient, cost-effective, and broadly applicable technique for the precise identification of complex matrices and diagnosis of diseases based on body fluids.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142448895","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

Aptamer-Based Electrochemical Biosensing Platform for Analysis of Cardiac Biomarkers 用于分析心脏生物标记物的基于色素的电化学生物传感平台

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-10-17 DOI: 10.1021/acssensors.4c01594

Mengjie Chen, Zelin Yang, Zhuoliang Hu, Yudan Hao, Jing Lu, Duanping Sun

{"title":"Aptamer-Based Electrochemical Biosensing Platform for Analysis of Cardiac Biomarkers","authors":"Mengjie Chen, Zelin Yang, Zhuoliang Hu, Yudan Hao, Jing Lu, Duanping Sun","doi":"10.1021/acssensors.4c01594","DOIUrl":"https://doi.org/10.1021/acssensors.4c01594","url":null,"abstract":"Monitoring biomarkers secreted by cardiomyocytes is critical to evaluate anticancer drug-induced myocardial injury (MI). Cardiac troponin I (cTnI) is considered the gold standard biomarker for MI. Herein, an electrochemical aptasensor is engineered for cTnI detection based on lanthanide europium metal–organic frameworks (Eu-MOFs) and a hybridization chain reaction-directed DNAzyme strategy. Three types of Eu-MOF morphologies were easily synthesized by changing the solvent, and the Eu-MOF modulated by mixing the solvent of dimethylformamide and H2O (D-Eu-MOF) exhibited the best performance compared to other morphologies of the Eu-MOFs. Multifunctional nanoprobes were constructed from D-Eu-MOF@Pt loaded with natural horseradish peroxidase and combined with an aptamer-initiated nuclear acid hybridization chain reaction to form G-quadruplex/hemin DNAzymes for signal amplification. A novel capture probe is constructed on the basis of DNA nanotetrahedrons modified on screen-printed gold electrodes to enhance the capture of the target and multifunctional nanoprobes for signal amplification. It exhibits a detection limit of 0.17 pg mL–1 and a linear range from 0.5 pg mL–1 to 15 ng mL–1. The practicality of the platform is evaluated by measuring cTnI in real samples and secreted by cardiomyocytes after drug treatment, which provides great potential in drug-induced MI evaluation for clinical application.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142444276","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

Parameter Optimization of Semiconductor Gas Sensor under AC Impedance Measurement 交流阻抗测量下半导体气体传感器的参数优化

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-10-16 DOI: 10.1021/acssensors.4c01903

Jifeng Chu, Zhuoli Deng, Jianbin Pan, Aijun Yang, Qiongyuan Wang, Hongye Yuan, Huan Yuan, Feng Xin, Mingzhe Rong, Xiaohua Wang

引用次数: 0

Integrated One-Step Fabrication of Protonic Sensing Devices for Respiratory Monitoring 一步法集成制造用于呼吸监测的质子传感设备

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-10-16 DOI: 10.1021/acssensors.4c01694

Mohammad Hosseini, Seyyed Ahmad Etghani, Narges Nobakht, Mohamad Ali Sanjari Shahrezaei, Seyed Hamed Aboutalebi

{"title":"Integrated One-Step Fabrication of Protonic Sensing Devices for Respiratory Monitoring","authors":"Mohammad Hosseini, Seyyed Ahmad Etghani, Narges Nobakht, Mohamad Ali Sanjari Shahrezaei, Seyed Hamed Aboutalebi","doi":"10.1021/acssensors.4c01694","DOIUrl":"https://doi.org/10.1021/acssensors.4c01694","url":null,"abstract":"The development of direct fabrication routes with seamless integration of both the macro/micropatterning process and nanostructure synthesis is crucial for the commercial realization of cost-effective nanoscale sensor devices. This, if realized, can liberate us from the conventional limitations inherent in nanoscale device manufacturing. Specifically, such fabrication routes can, in principle, address the challenges such as the complexity, multistep nature, and substantial costs associated with existing technologies, which are not suitable for widespread market adoption in everyday-use devices. Herein, we propose a novel yet facile one-step fabrication approach that simultaneously accomplishes both patterning and nanostructure synthesis by employing low-power, cost-effective laser technology with a minimal environmental footprint. Versatile in nature, this approach can enable the incorporation of diverse functionalities spanning a broad spectrum of technologies, encompassing fields such as sensors, catalysts, photonics, energy storage, and biomedical monitoring devices. As a proof of concept, using our approach, we fabricated an ultra responsive, high-speed protonic sensing device for real-time respiratory monitoring. The enhanced temporal characteristics of our as-fabricated device, particularly in the relative humidity levels of interest in breath monitoring (typically over 55%), exhibited a superior response/recovery time in rapid humidity fluctuations. We envisage that the advantages brought by the presented fabrication approach can pave the way to establish a new method for inexpensive large-scale functional-material-based device fabrication.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142440526","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

Breath Analysis Using Quartz Tuning Forks for Predicting Blood Glucose Levels Using Artificial Neural Networks 使用石英音叉进行呼吸分析，利用人工神经网络预测血糖水平

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-10-16 DOI: 10.1021/acssensors.4c01699

Bishakha Ray, Vijayaraj Sangavi, Satyendra Vishwakarma, Saurabh Parmar, Suwarna Datar

{"title":"Breath Analysis Using Quartz Tuning Forks for Predicting Blood Glucose Levels Using Artificial Neural Networks","authors":"Bishakha Ray, Vijayaraj Sangavi, Satyendra Vishwakarma, Saurabh Parmar, Suwarna Datar","doi":"10.1021/acssensors.4c01699","DOIUrl":"https://doi.org/10.1021/acssensors.4c01699","url":null,"abstract":"Diabetes Mellitus (DM), a widespread metabolic disorder, poses lifelong health implications, demanding timely diagnosis and cautious monitoring for effective disease management. Traditional blood glucose tests are invasive and require medical expertise for intermittent checking, motivating the investigation of alternative, noninvasive methods. This study introduces an approach employing breath analysis through a set of 12 quartz tuning fork-based sensors enhanced using nanomaterials and dedicated artificial neural network (ANN) algorithms for data interpretation. The breath analysis methodology involves capturing unique breath signatures using the frequency-based sensor array. The accompanying neural network classification algorithm, customized for the sensor data, enables precise classification of data from 245 individuals as diabetic, prediabetic, or healthy. A neural network regression algorithm predicted blood glucose values and was compared with the actual values obtained from medical blood glucose measurement. The clinical relevance of the predicted blood glucose has been examined using error grids. The sensor array coupled with the ANN algorithm can identify diabetic, prediabetic, and control samples with 97% test accuracy. Blood glucose was predicted using neural network regression with a correlation coefficient of 0.89 and a mean square error of 0.13.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142440527","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

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