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Portable Photoactivated Room-Temperature Gas Sensor for On-Site Methanol Monitoring 用于现场甲醇监测的便携式光活化室温气体传感器
IF 8.9 1区 化学
ACS Sensors Pub Date : 2026-11-10 DOI: 10.1021/acssensors.6c03752
Haoshuang Zhang,Tianshuang Wang,Guoxuan Gu,Xueying Kou,Yongshun Liu,Peng Sun,Geyu Lu
{"title":"Portable Photoactivated Room-Temperature Gas Sensor for On-Site Methanol Monitoring","authors":"Haoshuang Zhang,Tianshuang Wang,Guoxuan Gu,Xueying Kou,Yongshun Liu,Peng Sun,Geyu Lu","doi":"10.1021/acssensors.6c03752","DOIUrl":"https://doi.org/10.1021/acssensors.6c03752","url":null,"abstract":"Methanol is an essential chemical feedstock and renewable fuel, yet its high volatility and flammability necessitate intrinsically safe room-temperature detection for safe deployment. Current room-temperature methanol sensing technologies, however, suffer from inadequate sensitivity and high detection limits, hindering reliable early leakage warning. Herein, we report a photoactivated room-temperature, chemiresistive methanol sensor based on bimetallic PdPt clusters-decorated W18O49. Bimetallic PdPt clusters with tunable compositions dramatically improve the sensor receptor function via selectively increasing the adsorption of chemisorbed oxygen species and methanol molecules, as revealed by theoretical calculations. Meanwhile, ultraviolet (UV) photoactivation replaces thermal activation by promoting charge-carrier generation and surface redox reactions, while the Schottky barrier enables efficient charge-carrier separation, thereby enhancing the sensor transducer function. The enhanced sensing reaction pathway is elucidated by in situ diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) under UV irradiation. Accordingly, the sensor exhibits a more than fourfold enhancement in response, low detection limit (100 ppb), and stable operation for over 30 days in ambient air at room temperature. Finally, we integrate the sensor into a portable on-site monitoring device, providing an intrinsically safe platform for real-time methanol leakage monitoring and early warning in hazardous industrial environments.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"86 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149374720","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
Multilevel Integration of Artificial Intelligence and Wearable Biosensors for Precision Health and Clinical Translation 人工智能和可穿戴生物传感器的多级集成,用于精准健康和临床翻译
IF 8.9 1区 化学
ACS Sensors Pub Date : 2026-11-10 DOI: 10.1021/acssensors.6c03672
Longhua Ding,Aizhu Wang,Lihan Cai,Mengxiao Chen,Xun Han,Xin Yu
{"title":"Multilevel Integration of Artificial Intelligence and Wearable Biosensors for Precision Health and Clinical Translation","authors":"Longhua Ding,Aizhu Wang,Lihan Cai,Mengxiao Chen,Xun Han,Xin Yu","doi":"10.1021/acssensors.6c03672","DOIUrl":"https://doi.org/10.1021/acssensors.6c03672","url":null,"abstract":"Wearable biosensors are evolving from passive data loggers toward proactive tools for health monitoring, playing an increasingly important role in personalized and decentralized healthcare. Artificial intelligence (AI) helps address key limitations in this field, including constrained sensing accuracy, complex signal interpretation, and challenges in multimodal data integration. This review summarizes a three-level integration framework, in which AI supports primary-level integration by interpreting acquired signals, secondary-level integration by co-optimizing the sensing process, and tertiary-level integration by producing system-level health judgments. From a technical perspective, AI is progressing from a data-processing tool to a co-design framework that jointly optimizes materials, devices, and signal processing strategies, thereby improving overall performance and stability. In application scenarios, multimodal data fusion and intelligent modeling support decision pipelines that are oriented toward closed-loop operation, enabling more accurate prediction and management of stress, metabolic disorders, neurological diseases, and ophthalmic conditions. These advances are gradually shifting healthcare paradigms from diagnosis-oriented approaches toward earlier and more proactive intervention. Nevertheless, challenges remain in data standardization, model interpretability, and the trade-off between system integration and energy consumption. Future progress is likely to be driven by generative AI, physics-informed modeling, personalized digital twins, and decentralized health systems, collectively pushing wearable biosensors toward higher levels of autonomy and clinical translation.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"289 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149374714","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 Hybrid Fluorescence-Optoelectronic Nanoscale Sensor for the Early Diagnosis of Tau Pathology 荧光-光电复合纳米传感器在Tau病理早期诊断中的应用
IF 8.9 1区 化学
ACS Sensors Pub Date : 2026-11-10 DOI: 10.1021/acssensors.6c00511
Santi M. Mandal,Md Emdadul Hoque,Prabhakar Bandaru,Gourisankar Ghosh
{"title":"A Hybrid Fluorescence-Optoelectronic Nanoscale Sensor for the Early Diagnosis of Tau Pathology","authors":"Santi M. Mandal,Md Emdadul Hoque,Prabhakar Bandaru,Gourisankar Ghosh","doi":"10.1021/acssensors.6c00511","DOIUrl":"https://doi.org/10.1021/acssensors.6c00511","url":null,"abstract":"Early detection of tauopathies is crucial for identifying disease onset and enabling effective management of disorders such as corticobasal degeneration (CBD), progressive supranuclear palsy (PSP), and Alzheimer’s disease (AD). Here, we present a highly sensitive and specific method for detecting early, non-fibrillar Tau oligomers before tangle formation. Among a series of synthesized quantum dots, only the nitrogen–phosphorus-doped carbon quantum dots (N,P-CQDs) demonstrated the desired specificity. These N,P-CQDs are derived from phosphoserine dimers linked through an unusual phosphate ester bond rather than a conventional amide bond. They are characterized as 3–7 nm in diameter and emit bright red fluorescence at 600 nm, enabling the specific detection of toxic oligomeric and fibrillar Tau species in vitro and in tau pathogenic brain tissues and cerebrospinal fluid (CSF). The N,P-CQD nanoprobe offers an advantage over conventional Thioflavin T staining because of its large 300-nm Stokes shift between excitation and emission, which minimizes background noise. The calculated fluorescence half-life (t1/2) was 1.66 μs, with a fluorescence decay time (τ) of approximately 3.0 μs, demonstrating the potential of the probe for ultrasensitive detection. The proposed integrated bio-opto-electronic platform, leveraging the specific and highly sensitive spectral response of N,P-CQD-functionalized nanoneedles to oligomeric tau aggregates, as determined in conjunction with biolayer interferometry (BLI), establishes a foundation for a real-time, minimally invasive future diagnostic tool for the detection of neurodegenerative disorders.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"17 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149374715","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
Design of Enhanced Multicomponent Gas Sensor Based on Neural Network Cross-Architecture Knowledge Distillation Algorithm 基于神经网络跨架构知识蒸馏算法的增强型多组分气体传感器设计
IF 8.9 1区 化学
ACS Sensors Pub Date : 2026-11-10 DOI: 10.1021/acssensors.6c03483
Jiawei Wu,Yunping Lan,He Zhang,Yingtian Xu,Chunyu Song,Jilong Tang,Zhipeng Wei,Chao Ge
{"title":"Design of Enhanced Multicomponent Gas Sensor Based on Neural Network Cross-Architecture Knowledge Distillation Algorithm","authors":"Jiawei Wu,Yunping Lan,He Zhang,Yingtian Xu,Chunyu Song,Jilong Tang,Zhipeng Wei,Chao Ge","doi":"10.1021/acssensors.6c03483","DOIUrl":"https://doi.org/10.1021/acssensors.6c03483","url":null,"abstract":"To satisfy the demand for high-precision online monitoring of early signature gases, carbon dioxide (CO2) and carbon monoxide (CO), in lithium-ion battery thermal runaway, we propose a multi-component gas sensing system based on a Convolutional Neural Network (CNN) via Cross-Architecture Knowledge Distillation (CAKD). Prior knowledge learned by the teacher model from noisy second harmonic (2ƒ) signals is distilled into a structurally simpler student model, reducing inference latency and computational burden. Under laboratory conditions, the system achieved concentration fitting accuracies of 0.9997 for CO2 and 0.9990 for CO. The mean absolute errors (MAE) for CO2 and CO were 62.615 and 30.110 ppm, respectively, and the mean relative errors (MRE) were 0.500% and 1.759%. Allan deviation analysis further yields detection limits of 3.1171 ppm for CO2 at an averaging time of 146 s and 1.6604 ppm for CO at 122 s. Deployed on a Raspberry Pi, the system achieved an average per-sample inference time of 0.2037 ms, satisfying real-time online monitoring requirements. The model parameter count and computational cost were reduced by 88.47% and 94.10%, respectively, compared with the teacher model. The sensor was further applied to real-time monitoring of CO2 and CO during lithium-ion battery thermal runaway, successfully identifying characteristic gas signals 874 s before thermal runaway onset. These results demonstrate that CAKD significantly reduces model complexity and inference latency while maintaining accurate trace gas detection, demonstrating its application value in embedded safety monitoring systems.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"13 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149374717","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
Engineering DNA Nanoflowers with Programmable Architectures: From Design Paradigms to Biosensing 具有可编程架构的工程DNA纳米花:从设计范式到生物传感
IF 8.9 1区 化学
ACS Sensors Pub Date : 2026-11-10 DOI: 10.1021/acssensors.6c00214
Mengpan Zhang,Yifu Wang,Yunli Zhao,Jiayi Lu,Mengfei Wu,Wei Liu,Leiliang He
{"title":"Engineering DNA Nanoflowers with Programmable Architectures: From Design Paradigms to Biosensing","authors":"Mengpan Zhang,Yifu Wang,Yunli Zhao,Jiayi Lu,Mengfei Wu,Wei Liu,Leiliang He","doi":"10.1021/acssensors.6c00214","DOIUrl":"https://doi.org/10.1021/acssensors.6c00214","url":null,"abstract":"It is of great significance to design and fabricate multifunctional engineered nanostructures by loading functional components on demand in a simplified manner, to achieve sensitive and reliable sensing of targets in complex environments. DNA nanoflowers (DNFs) with precisely compartmentalizable design are a type of emerging three-dimensional hybrid nanomaterial. Compared with traditional DNA self-assembly structures, DNF integrates efficient one-step synthesis, significantly enhanced structural robustness, superior biological delivery efficiency, and powerful modular functional integration capabilities. It can break through the limitations of traditional detection methods in terms of insufficient sensitivity and single functionality, and is a promising practical sensing material. This review first provides a concise summary of the synthetic methods and structural advantages of DNFs. On this foundation, a systematic framework is established to elaborate the diverse design paradigms of engineered DNFs, including acyclic, single-ring, and dual- or multiring designs. Furthermore, recent advances in the application of engineered DNFs to in vitro biosensing and bioimaging (especially pathogen imaging) are comprehensively summarized. Finally, perspectives on the current challenges and future development directions of DNF-based biotechnology are articulated, aiming to furnish valuable insights for researchers in relevant disciplines.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"30 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149374719","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
Coupled Molecular Crowding and Spatial Confinement Enable Reversible Sensing of Dissolved Chlorine Dioxide 耦合分子拥挤和空间限制使可逆传感溶解二氧化氯
IF 8.9 1区 化学
ACS Sensors Pub Date : 2026-11-10 DOI: 10.1021/acssensors.6c04233
Huisi Li,Simin Lin,Lejie Liu,Hao Bai,Zhouyu Chen,Jiancheng Zhou,Shenghui Zhang,Leyi Lü,Ruijuan Wen,Yinan He,Yanyan Luo,Ling-Ya Peng,Haonan Peng,Yu Fang
{"title":"Coupled Molecular Crowding and Spatial Confinement Enable Reversible Sensing of Dissolved Chlorine Dioxide","authors":"Huisi Li,Simin Lin,Lejie Liu,Hao Bai,Zhouyu Chen,Jiancheng Zhou,Shenghui Zhang,Leyi Lü,Ruijuan Wen,Yinan He,Yanyan Luo,Ling-Ya Peng,Haonan Peng,Yu Fang","doi":"10.1021/acssensors.6c04233","DOIUrl":"https://doi.org/10.1021/acssensors.6c04233","url":null,"abstract":"Reversible fluorescence sensing of chlorine dioxide (ClO2) is challenging because its strong oxidizing character commonly drives irreversible probe conversion. Here, we show that a porous polymer microenvironment can activate reversible ClO2 sensing in a luminogen that is essentially unresponsive in homogeneous solution. A tripodal o-carborane luminogen, Ph-3Na, was designed to combine molecular crowding with efficient charge-transfer and aggregation-induced emission, affording a 577-fold aggregation-induced fluorescence enhancement and an aggregate-state quantum yield of 47.6%. Immobilization of Ph-3Na within cross-linked porous polystyrene generated a bright sensing material that undergoes pronounced fluorescence attenuation upon exposure to dissolved ClO2 without detectable bulk analyte consumption. Time-resolved fluorescence measurements reveal a shortened excited-state lifetime upon ClO2 exposure, supporting a dynamic-quenching contribution, while calculated frontier-orbital alignment is consistent with a possible photoinduced electron transfer (PET) pathway. The material responds within 45 s over 0.31–20 mg L–1 and retains reversible switching over 150 cycles. Integration into a flow-through device further enables quantitative ClO2 monitoring in environmental and food-disinfection samples. These results establish spatial confinement as a means to promote analyte access and activate reversible PET-based fluorescence sensing beyond conventional molecular probe design.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"19 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149374722","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
Universal Covalent Functionalization of Two-Dimensional Transition Metal Dichalcogenides for Sarin Simulant Detection 二维过渡金属二硫族化合物在沙林模拟物检测中的通用共价功能化
IF 8.9 1区 化学
ACS Sensors Pub Date : 2026-11-10 DOI: 10.1021/acssensors.6c02692
Hao Jiang,Xiao Chang,Wei Zheng,Yongchao Zheng,Jun Shen,Haizhen Li,Xianghong Liu,Nicola Pinna,Jun Zhang
{"title":"Universal Covalent Functionalization of Two-Dimensional Transition Metal Dichalcogenides for Sarin Simulant Detection","authors":"Hao Jiang,Xiao Chang,Wei Zheng,Yongchao Zheng,Jun Shen,Haizhen Li,Xianghong Liu,Nicola Pinna,Jun Zhang","doi":"10.1021/acssensors.6c02692","DOIUrl":"https://doi.org/10.1021/acssensors.6c02692","url":null,"abstract":"The detection of chemical warfare agents such as sarin is essential for public security, yet conventional sensors lack sufficient sensitivity for trace-level vapor detection. To address this, we developed a universal covalent functionalization approach for two-dimensional transition metal dichalcogenides (including MoS2, MoSe2, WS2, WSe2, and In2Se3), enabling highly sensitive detection of dimethyl methylphosphonate (DMMP), a sarin simulant. Using a custom-synthesized diazonium salt (4-HFBD) with KI assistance, we rapidly graft acidic groups onto inert TMD surfaces while enhancing their n-type semiconductor characteristics. This design leverages directional hydrogen bonding between the functionalized surface and DMMP, resulting in exceptional room-temperature sensitivity. The optimized MoS2 sensor achieves selective and reversible DMMP detection with a low detection limit of 42 ppb and a fast response time of 4.6 s, surpassing most reported analogues. This work provides a versatile and tunable platform for trace chemical threat detection, representing a major advance in sensing technology.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"15 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149374716","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
Al-Modulated Y2O3 Multishelled Hollow Spheres for Ultrasensitive Acetone Cataluminescence Sensing and Catalytic Removal 铝调制Y2O3多壳空心球用于超敏丙酮催化发光传感和催化去除
IF 8.9 1区 化学
ACS Sensors Pub Date : 2026-11-10 DOI: 10.1021/acssensors.6c03495
Min Li,Pengjun Duan,Xiang Ni,Yuxuan Xie,Xiaozheng Han,Xuebo Zhou,Xiaowei Yu,Qiaomei Sun,Fengmao Chen,Jianzhong Zheng
{"title":"Al-Modulated Y2O3 Multishelled Hollow Spheres for Ultrasensitive Acetone Cataluminescence Sensing and Catalytic Removal","authors":"Min Li,Pengjun Duan,Xiang Ni,Yuxuan Xie,Xiaozheng Han,Xuebo Zhou,Xiaowei Yu,Qiaomei Sun,Fengmao Chen,Jianzhong Zheng","doi":"10.1021/acssensors.6c03495","DOIUrl":"https://doi.org/10.1021/acssensors.6c03495","url":null,"abstract":"Ultrasensitive detection and efficient removal of airborne acetone are vital for environmental monitoring; however, achieving both functions with a single material presents a significant challenge. Here, we developed a Y1.3Al0.7O3 bimetallic oxide multishelled hollow sphere (BMHS), which function as a high-performance cataluminescence (CTL) sensor for ultrasensitive acetone detection and as an efficient catalyst for acetone gas removal from air. Regulation aluminum distribution in the Y1.3Al0.7O3 BMHSs enabled the achievement of an ultrasensitive acetone detection limit of 412 ppt at a working temperature of 150 °C and wavelength of 620 nm. The sensor exhibited excellent sensitivity, selectivity, and repeatability for acetone detection, with spike recoveries ranging from 94.79% to 101.15% in acetone-spiked breath samples from three healthy volunteers. Meanwhile, the Y1.3Al0.7O3 BMHS catalyst achieves complete (100%) acetone removal efficiency without any inactivation during a 24 h continuous operation test. The superior catalytic performance is ascribed to the high specific surface area, abundant surface-adsorbed oxygen species, and the effects of aluminum doping. DFT calculations and in situ IR spectroscopy suggest that the incorporation of nonprecious aluminum (Al) effectively lowers the acetone adsorption energy compared to pure Y2O3 while also enhancing electron transport, thus significantly promoting catalytic oxidation of acetone and improving overall sensing performance. The proposed non-noble metal-doping strategy not only offers a promising approach to enhance the catalytic performance of bimetal oxide multishelled hollow spheres but also crucially addresses the challenge of integrating both detection and removal capabilities into a single functional material.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"44 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149374718","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
Renewable Sandwich Roll-Like Electrode Based on Hollow Ni-NiCx Microsphere and MXene for Constructing a Portable Non-Enzymatic Glucose Sensor 基于空心Ni-NiCx微球和MXene的可再生夹层卷状电极构建便携式无酶葡萄糖传感器
IF 8.9 1区 化学
ACS Sensors Pub Date : 2026-11-09 DOI: 10.1021/acssensors.6c03053
Xinghao Wang,Binghui Shen,Yong Zhang
{"title":"Renewable Sandwich Roll-Like Electrode Based on Hollow Ni-NiCx Microsphere and MXene for Constructing a Portable Non-Enzymatic Glucose Sensor","authors":"Xinghao Wang,Binghui Shen,Yong Zhang","doi":"10.1021/acssensors.6c03053","DOIUrl":"https://doi.org/10.1021/acssensors.6c03053","url":null,"abstract":"A renewable electrode without relying on traditional supporting electrodes is expected to reduce the use-cost and improve the testing efficiency. Herein, a novel renewable electrode that is hollow Ni-NiCx microspheres@carbonized rice-paper@few-layer Ti3C2Tx nanosheets (Ni-NiCx@CRP@Ti3C2Tx) is prepared through the processes of drop-casting, curling, pyrolysis, and molding. Such a Ni-NiCx@CRP@Ti3C2Tx electrode with sandwich roll-like structure can be directly utilized as the working electrode for non-enzymatic glucose sensing. The main performance parameters include 0.5–280.0 μM of linear detection range, 79 nM of detection limit, and 2860 μA mM−1 cm−2 of sensitivity. The high-performance behaviors of Ni-NiCx@CRP@Ti3C2Tx electrode are attributed to the optimized interlayer relationships of the sandwich roll-like structure. First, the Ni-NiCx layer provides high-efficiency active sites for the electrochemical oxidation of glucose. Second, the Ti3C2Tx layer provides an excellent conductive network for the collection of electrochemical signals. More importantly, the rapidly renewable strategy of Ni-NiCx@CRP@Ti3C2Tx electrode is proposed through the self-designed electrode shear for 1st−10th cutting. Ultimately, a prototype of portable electrochemical sensor composed of the renewable Ni-NiCx@CRP@Ti3C2Tx electrode, the adjustable working electrode system and the self-designed electronic system is established for detecting glucose in urine sample. Our work presents a novel approach for developing renewable electrodes for electrochemical sensing.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"261 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149368257","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
Visual Detection of Foodborne Viruses in Leafy Greens Using an AsCas12f-Split-G-Quadruplex Sensor 利用ascas12f - split - g -四重传感器视觉检测绿叶蔬菜食源性病毒
IF 8.9 1区 化学
ACS Sensors Pub Date : 2026-11-09 DOI: 10.1021/acssensors.6c03711
Tom Kasputis,Mathew Landivar,Lijuan Yuan,R. Clay Wright,Chenming Zhang,Juhong Chen
{"title":"Visual Detection of Foodborne Viruses in Leafy Greens Using an AsCas12f-Split-G-Quadruplex Sensor","authors":"Tom Kasputis,Mathew Landivar,Lijuan Yuan,R. Clay Wright,Chenming Zhang,Juhong Chen","doi":"10.1021/acssensors.6c03711","DOIUrl":"https://doi.org/10.1021/acssensors.6c03711","url":null,"abstract":"Foodborne viruses are responsible for a substantial burden of disease worldwide, with fresh produce serving as the most abundant vehicle for transmission. However, rapid detection in solid produce, such as leafy greens, remains underdeveloped, as conventional methods often require labor-intensive sample preparation and specialized instrumentation. Herein, we present a colorimetric CRISPR-split-G4 biosensor for rapid viral surveillance in leafy greens that combines reverse transcription recombinase polymerase amplification (RT-RPA), AsCas12f-mediated trans-cleavage, and a modular split-G-quadruplex (split-G4) reporter system. In this system, target recognition activates the trans-cleavage activity of AsCas12f, resulting in degradation of a blocker strand and subsequent assembly of a catalytically active G4-hemin DNAzyme that generates a visible signal easily detectable by the naked eye. Using norovirus as a model pathogen, the platform exhibited high analytical sensitivity and specificity, enabling reliable detection of viral particles with minimal instrumentation. To evaluate practical applicability, the assay was coupled with a simplified leaf-disk extraction workflow and successfully applied to contaminated romaine lettuce and baby spinach samples without requiring viral nucleic acid purification. The platform achieved detection limits of 1000 and 5000 viral copies per 100 mg of romaine lettuce and spinach tissue, respectively. From sample processing to visual readout, the entire assay was completed in approximately 2 h. By integrating isothermal amplification, CRISPR-based target recognition, and instrument-free signal generation into a streamlined workflow, this strategy provides a promising platform for decentralized food safety monitoring and establishes a flexible framework for the on-site detection of viral pathogens in complex food matrices.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"8 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149368258","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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