ACS Sensors最新文献_第9页

Atomic Layer-Modified 3D Pd Nanochannels for High-Performance Hydrogen Sensing 用于高性能氢传感的原子层修饰3D Pd纳米通道

IF 8.2 1区化学

ACS Sensors Pub Date : 2025-05-15 DOI: 10.1021/acssensors.5c0088610.1021/acssensors.5c00886

Ahyeon Cho, Hojin Kang, Youngwook Cho, Hee-Tae Jung*, Heeyeop Chae* and Soo-Yeon Cho*,

{"title":"Atomic Layer-Modified 3D Pd Nanochannels for High-Performance Hydrogen Sensing","authors":"Ahyeon Cho, Hojin Kang, Youngwook Cho, Hee-Tae Jung*, Heeyeop Chae* and Soo-Yeon Cho*, ","doi":"10.1021/acssensors.5c0088610.1021/acssensors.5c00886","DOIUrl":"https://doi.org/10.1021/acssensors.5c00886https://doi.org/10.1021/acssensors.5c00886","url":null,"abstract":"Palladium (Pd), known for its excellent H2 adsorption properties and ability to form palladium hydride (PdHx), is extensively utilized as a key material in hydrogen (H2) sensing technologies. Nevertheless, conventional Pd-based H2 sensors have shown limited performance enhancements due to challenges in precisely controlling the microscopic interfaces between Pd nanograins, which determine the total resistance signal of the sensors. This limitation arises from the lack of a technique capable of precisely manipulating these interfaces at the atomic level. In this study, we develop an atomic layer etching (ALE) technique to enhance the performance of Pd-based H2 sensors by enabling precise atomic-scale control over the surface of Pd nanochannels. We fabricated 3D Pd nanopatterns with ultrasmall grain sizes through a top-down nanolithography process, followed by an ALE process that achieved atomic-level precision (10 Å resolution) without compromising material crystallinity. Our two-step ALE process, comprising surface modification with Cl2 plasma and removal with NH3 ligand addition, enables uniform etching across a 4 in. wafer with less than 1% variation in etch per cycle (EPC). This atomic-level modulation of Pd nanochannels resulted in significantly enhanced H2 sensitivity, demonstrating a maximum 130-fold increase in response to 1% H2 concentration compared to nonatomically controlled sensors. Such substantial enhancement has been difficult to achieve through conventional structural tuning methods and is attributed to the maximized volume change of PdHx resulting from the expanded gaps between Pd grains. This platform provides a promising avenue for developing high-performance H2 sensors and other noble-metal-based applications requiring atomic-level structural precision.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"10 5","pages":"3774–3784 3774–3784"},"PeriodicalIF":8.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144114604","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

Colorimetric Optode Sensor with Tripodal Ionophore for Rapid Urinary Ammonium Determination. 三脚架离子载体比色光电传感器快速测定尿铵。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-05-14 DOI: 10.1021/acssensors.5c00756

Fangmei Fu,XinYu Zhang,Wei Wang,Xiaojiang Xie

引用次数: 0

A Self-Developed Fire Early Warning System Based on Gas Detection and Graph Convolution Calculation Method 基于气体检测和图卷积计算方法的火灾预警系统

IF 8.2 1区化学

ACS Sensors Pub Date : 2025-05-14 DOI: 10.1021/acssensors.4c0365610.1021/acssensors.4c03656

Yanwei Wang, Yang Yu, Boxu Zhou, Chongbo Yin, Yan Shi* and Hong Men*,

{"title":"A Self-Developed Fire Early Warning System Based on Gas Detection and Graph Convolution Calculation Method","authors":"Yanwei Wang, Yang Yu, Boxu Zhou, Chongbo Yin, Yan Shi* and Hong Men*, ","doi":"10.1021/acssensors.4c0365610.1021/acssensors.4c03656","DOIUrl":"https://doi.org/10.1021/acssensors.4c03656https://doi.org/10.1021/acssensors.4c03656","url":null,"abstract":"This study develops an artificial olfactory system for the early monitoring of fire risk in electric cabinets. Compared with existing fire detection methods such as temperature, smoke, sound, and current, the detection object of artificial olfactory sensors is abnormal odor, the diffusion of odor does not consider the complex structure of the electrical cabinet, and the detection results do not need to distinguish variable electrical conditions. In the study, we develop an artificial olfactory training device equipped with a sensory data collector to collect odor information from six combustible materials under smoke-free conditions. Based on the designed fast Pearson graph convolutional network (FPGCN), volatile gases from different overheated materials are identified with high performance under different heating times (at 1–350 s, an accuracy of 98.08%, a precision of 98.21%, and a recall of 98.01% are achieved), which proves the feasibility of the artificial olfactory training device.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"10 5","pages":"3484–3492 3484–3492"},"PeriodicalIF":8.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144114587","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

Solid/Liquid/Gas Three-Phase Interface Enzymatic Reaction-Based Lactate Biosensor with Simultaneously High Sensitivity and Wide Linear Range 基于固/液/气三相界面酶促反应的乳酸生物传感器，同时具有高灵敏度和宽线性范围

IF 8.2 1区化学

ACS Sensors Pub Date : 2025-05-14 DOI: 10.1021/acssensors.4c0335310.1021/acssensors.4c03353

Lihui Huang, Mengli Zeng, Yaolan Li, Zhiping Liu, Jun Zhang* and Xinjian Feng*,

{"title":"Solid/Liquid/Gas Three-Phase Interface Enzymatic Reaction-Based Lactate Biosensor with Simultaneously High Sensitivity and Wide Linear Range","authors":"Lihui Huang, Mengli Zeng, Yaolan Li, Zhiping Liu, Jun Zhang* and Xinjian Feng*, ","doi":"10.1021/acssensors.4c0335310.1021/acssensors.4c03353","DOIUrl":"https://doi.org/10.1021/acssensors.4c03353https://doi.org/10.1021/acssensors.4c03353","url":null,"abstract":"Electrochemical lactate biosensors with simultaneously high sensitivity and wide linear detection range are desirable for health monitoring. Nevertheless, the low oxygen level in biological fluids compromises oxidase enzymatic kinetics, which consequently results in a narrow linear detection range and/or low sensitivity. In this study, we addressed this issue by fabricating a solid/liquid/gas three-phase enzyme electrode with sufficiently high oxygen levels in the local reaction zone and much enhanced oxidase enzymatic kinetics. The three-phase enzyme electrode was fabricated by successively immobilizing H2O2 electrocatalyst and lactate oxidase (LOx) on a superhydrophobic porous carbon substrate. Owing to the much-enhanced oxidase enzymatic kinetics, the linear detection upper limit of the three-phase lactate biosensor was increased up to 40 mM, about 57-fold higher than that of the conventional two-phase system (0.7 mM), while a sensitivity as high as 22.28 μA mM–1 cm–2 was maintained. Moreover, a sweat lactate sensing device was fabricated based on the three-phase enzyme electrode and utilized for lactate detection in undiluted sweat during exercise. This three-phase enzyme electrode with both high sensitivity and wide linear range provides a new approach for the development of high-performance lactate sensing systems.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"10 5","pages":"3433–3440 3433–3440"},"PeriodicalIF":8.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144114809","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

Solid/Liquid/Gas Three-Phase Interface Enzymatic Reaction-Based Lactate Biosensor with Simultaneously High Sensitivity and Wide Linear Range 基于固/液/气三相界面酶促反应的乳酸生物传感器，同时具有高灵敏度和宽线性范围

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-05-14 DOI: 10.1021/acssensors.4c03353

Lihui Huang, Mengli Zeng, Yaolan Li, Zhiping Liu, Jun Zhang, Xinjian Feng

{"title":"Solid/Liquid/Gas Three-Phase Interface Enzymatic Reaction-Based Lactate Biosensor with Simultaneously High Sensitivity and Wide Linear Range","authors":"Lihui Huang, Mengli Zeng, Yaolan Li, Zhiping Liu, Jun Zhang, Xinjian Feng","doi":"10.1021/acssensors.4c03353","DOIUrl":"https://doi.org/10.1021/acssensors.4c03353","url":null,"abstract":"Electrochemical lactate biosensors with simultaneously high sensitivity and wide linear detection range are desirable for health monitoring. Nevertheless, the low oxygen level in biological fluids compromises oxidase enzymatic kinetics, which consequently results in a narrow linear detection range and/or low sensitivity. In this study, we addressed this issue by fabricating a solid/liquid/gas three-phase enzyme electrode with sufficiently high oxygen levels in the local reaction zone and much enhanced oxidase enzymatic kinetics. The three-phase enzyme electrode was fabricated by successively immobilizing H2O2 electrocatalyst and lactate oxidase (LOx) on a superhydrophobic porous carbon substrate. Owing to the much-enhanced oxidase enzymatic kinetics, the linear detection upper limit of the three-phase lactate biosensor was increased up to 40 mM, about 57-fold higher than that of the conventional two-phase system (0.7 mM), while a sensitivity as high as 22.28 μA mM–1 cm–2 was maintained. Moreover, a sweat lactate sensing device was fabricated based on the three-phase enzyme electrode and utilized for lactate detection in undiluted sweat during exercise. This three-phase enzyme electrode with both high sensitivity and wide linear range provides a new approach for the development of high-performance lactate sensing systems.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"29 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143979934","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 Self-Developed Fire Early Warning System Based on Gas Detection and Graph Convolution Calculation Method 基于气体检测和图卷积计算方法的火灾预警系统

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-05-14 DOI: 10.1021/acssensors.4c03656

Yanwei Wang, Yang Yu, Boxu Zhou, Chongbo Yin, Yan Shi, Hong Men

引用次数: 0

An Artificial Olfactory System Based on Synaptic Transistors for Precepting Hazardous Gas to Simulate Organ Injury 基于突触晶体管的模拟有害气体感知器官损伤的人工嗅觉系统

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-05-14 DOI: 10.1021/acssensors.5c00400

Junshuai Dai, Li Yuan, Yunkuan Wei, Jixing Zhou, Longwei Xue, Xudong Zhang, Jianhua Zhang, Longlong Chen, Xingwei Ding, Hai Liu, Tingting Zhao

{"title":"An Artificial Olfactory System Based on Synaptic Transistors for Precepting Hazardous Gas to Simulate Organ Injury","authors":"Junshuai Dai, Li Yuan, Yunkuan Wei, Jixing Zhou, Longwei Xue, Xudong Zhang, Jianhua Zhang, Longlong Chen, Xingwei Ding, Hai Liu, Tingting Zhao","doi":"10.1021/acssensors.5c00400","DOIUrl":"https://doi.org/10.1021/acssensors.5c00400","url":null,"abstract":"Recent advances in artificial olfactory systems have attracted significant attention for their potential applications in humanoid robots and intelligent nasal devices capable of identifying objects and sensing hazards; however, the memory function is absent in traditional gas sensors, which is crucial to assess the long-term exposure risks. Meanwhile, due to the high operation temperature requirement, the gas sensors are usually difficult to integrate with the synaptic devices to form artificial olfactory systems. Here, we propose a novel artificial olfactory synaptic device to obtain and memorize formaldehyde information. The device is composed of an ion gel synaptic transistor integrated with a Ag–ZnO gas sensor, which can simulate the adverse effects of formaldehyde exposure to the human body and make an early warning. The Ag–ZnO gas sensor can detect and recognize different concentrations of formaldehyde as the chemiresistive signal at room temperature with ultraviolet irradiation instead of at high temperatures. The formaldehyde-induced resistive changes are transmitted to the gate voltage of the synaptic transistor, modulating the channel conductance to generate varying postsynaptic currents and to store gas information to realize the memory function. In addition, the postsynaptic current data of different concentrations can be imported into a support vector machine (SVM) for accurate identification, and early warning of different concentrations can be realized through the system. This bionic olfactory system provides a promising strategy for the development of advanced artificial intelligence and danger warnings.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"123 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143979935","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

An Artificial Olfactory System Based on Synaptic Transistors for Precepting Hazardous Gas to Simulate Organ Injury 基于突触晶体管的模拟有害气体感知器官损伤的人工嗅觉系统

IF 8.2 1区化学

ACS Sensors Pub Date : 2025-05-14 DOI: 10.1021/acssensors.5c0040010.1021/acssensors.5c00400

Junshuai Dai, Li Yuan, Yunkuan Wei, Jixing Zhou, Longwei Xue, Xudong Zhang, Jianhua Zhang, Longlong Chen, Xingwei Ding, Hai Liu* and Tingting Zhao*,

{"title":"An Artificial Olfactory System Based on Synaptic Transistors for Precepting Hazardous Gas to Simulate Organ Injury","authors":"Junshuai Dai, Li Yuan, Yunkuan Wei, Jixing Zhou, Longwei Xue, Xudong Zhang, Jianhua Zhang, Longlong Chen, Xingwei Ding, Hai Liu* and Tingting Zhao*, ","doi":"10.1021/acssensors.5c0040010.1021/acssensors.5c00400","DOIUrl":"https://doi.org/10.1021/acssensors.5c00400https://doi.org/10.1021/acssensors.5c00400","url":null,"abstract":"Recent advances in artificial olfactory systems have attracted significant attention for their potential applications in humanoid robots and intelligent nasal devices capable of identifying objects and sensing hazards; however, the memory function is absent in traditional gas sensors, which is crucial to assess the long-term exposure risks. Meanwhile, due to the high operation temperature requirement, the gas sensors are usually difficult to integrate with the synaptic devices to form artificial olfactory systems. Here, we propose a novel artificial olfactory synaptic device to obtain and memorize formaldehyde information. The device is composed of an ion gel synaptic transistor integrated with a Ag–ZnO gas sensor, which can simulate the adverse effects of formaldehyde exposure to the human body and make an early warning. The Ag–ZnO gas sensor can detect and recognize different concentrations of formaldehyde as the chemiresistive signal at room temperature with ultraviolet irradiation instead of at high temperatures. The formaldehyde-induced resistive changes are transmitted to the gate voltage of the synaptic transistor, modulating the channel conductance to generate varying postsynaptic currents and to store gas information to realize the memory function. In addition, the postsynaptic current data of different concentrations can be imported into a support vector machine (SVM) for accurate identification, and early warning of different concentrations can be realized through the system. This bionic olfactory system provides a promising strategy for the development of advanced artificial intelligence and danger warnings.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"10 5","pages":"3628–3637 3628–3637"},"PeriodicalIF":8.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144114588","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

Colorimetric Optode Sensor with Tripodal Ionophore for Rapid Urinary Ammonium Determination 三脚架离子载体比色光电传感器快速测定尿铵

IF 8.2 1区化学

ACS Sensors Pub Date : 2025-05-14 DOI: 10.1021/acssensors.5c0075610.1021/acssensors.5c00756

Fangmei Fu, XinYu Zhang, Wei Wang and Xiaojiang Xie*,

{"title":"Colorimetric Optode Sensor with Tripodal Ionophore for Rapid Urinary Ammonium Determination","authors":"Fangmei Fu, XinYu Zhang, Wei Wang and Xiaojiang Xie*, ","doi":"10.1021/acssensors.5c0075610.1021/acssensors.5c00756","DOIUrl":"https://doi.org/10.1021/acssensors.5c00756https://doi.org/10.1021/acssensors.5c00756","url":null,"abstract":"The amount of ammonium excreted in urine is a crucial indicator for assessing renal metabolic acidosis. Therefore, there is a significant demand for chemical sensors capable of accurately determining urinary ammonium concentrations with high throughput. In this study, we developed an ammonia chemical sensor based on the ion-selective optode principle. This sensor employs strategically designed ionophores and a PTFE gas-permeable film to enhance selectivity for free NH3. The low basicity of the chromoionophore indicator and the weak affinity of the tripodal ammonium receptor (L, log β = 4.62 ± 0.18) contributed to a markedly reduced response time, achieving detection within seconds, a significant improvement over previous sensors. A limit of detection (LOD) of approximately 15 nM was obtained in colorimetric mode. Total inorganic ammonia content in undiluted human urine was successfully determined using the sensor. Additionally, the optode was adapted into a multiwell format, offering potential for high-throughput point-of-care testing of urinary ammonium concentrations and other samples.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"10 5","pages":"3757–3762 3757–3762"},"PeriodicalIF":8.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acssensors.5c00756","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144114593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Accelerating Carrier Transfer in Dual p–n Heterojunctions by Mo–N Coupling to Gain an Ultrahigh-Sensitive NO2 Sensing at Room Temperature for Asthma Diagnosis 通过Mo-N耦合加速双p-n异质结中的载流子转移，获得室温下用于哮喘诊断的超高灵敏度NO2传感

IF 8.2 1区化学

ACS Sensors Pub Date : 2025-05-12 DOI: 10.1021/acssensors.5c0052010.1021/acssensors.5c00520

Jiahui Zhao, Jilong Zheng, Shujia Wang, Xinze Li, Haiquan Wang, Yan-Yan Song, Pei Song*, Zhida Gao* and Chenxi Zhao*,

{"title":"Accelerating Carrier Transfer in Dual p–n Heterojunctions by Mo–N Coupling to Gain an Ultrahigh-Sensitive NO2 Sensing at Room Temperature for Asthma Diagnosis","authors":"Jiahui Zhao, Jilong Zheng, Shujia Wang, Xinze Li, Haiquan Wang, Yan-Yan Song, Pei Song*, Zhida Gao* and Chenxi Zhao*, ","doi":"10.1021/acssensors.5c0052010.1021/acssensors.5c00520","DOIUrl":"https://doi.org/10.1021/acssensors.5c00520https://doi.org/10.1021/acssensors.5c00520","url":null,"abstract":"Sensitive gas detection performed on a semiconductor in the absence of heat and irradiation activation remains a substantial challenge. In this study, an activation-free NO2 gas sensor was developed by integrating MoOx and conductive polypyrrole (ppy) onto a TiO2 nanotube array (TiNT) through a direct electropolymerization method from simple monomer and metallic ion precursors. Thanks to the abundant defects and Mo–N coupling, a sensing chip based on the as-formed double p–n heterojunctions (TiO2/ppy and ppy/MoOx) exhibited excellent NO2 sensing performances in the absence of any activation, such as ultrahigh response (Rg/Ra = 11.96, 1 ppm), rapid response/recovery abilities (9/11 s), reliable repeatability, high selectivity, and storage stability. Importantly, the Mo–N coupling was shown to play a key role in accelerating the carrier transfer across the ppy/MoOx interface, thus contributing to the outstanding sensing response and kinetics. With a subparts-per-billion theoretical limit of detection (LOD for NO2 = 0.12 ppb), the proposed system represents the best activation-free NO2 chemiresistive sensor reported to date. In addition to a pure target gas, the sensor is capable of analyzing trace NO2 gas in complex exhaled air samples for asthma diagnosis. This study provides new insight for establishing the interface chemistry and tuning the charge transfer involved at semiconductor interfaces, enabling the design of activation-free gas sensors.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"10 5","pages":"3681–3691 3681–3691"},"PeriodicalIF":8.2,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144114582","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