Sensors and Actuators B: Chemical最新文献_第10页

Long-lived ratiometric phosphorescence probe and portable device for cholesterol sensing in serum without background fluorescence 用于检测血清中胆固醇而无背景荧光的长寿命比率磷光探针和便携式设备

IF 8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Sensors and Actuators B: Chemical

Pub Date : 2025-01-27 DOI: 10.1016/j.snb.2025.137332

Yawen Gao , Qianqian Jiang , Wanqing Liang , Cheng Zhang , Kui Zhang , Zhongping Zhang

Visual detection using phosphorescence emission can effectively overcome the background fluorescence interference of complex samples, providing higher sensitivity and accuracy. However, the acquisition of phosphorescence photographs requires the recording of luminescence information immediately after ceasing the excitation source, which poses challenges for portable platforms. In this work, we demonstrated the quantitative analysis of cholesterol in serum by utilizing a homemade portable device combined with long-lived phosphorescent N and P doped carbon dots (NPCDs). The green emissive NPCDs were coated with silica and modified with β-cyclodextrin, resulting in an extremely long lifetime of 1.3 s and a special surface recognition function. By employing Rhodamine B as an energy acceptor, a triplet to singlet Förster resonance energy transfer system was established, leading to the transformation of green phosphorescence into orange-red phosphorescence. When cholesterol is present in the system, it disrupts the energy transfer process, resulting in the recovery of green phosphorescence. This unique color evolution without background fluorescence interference can be easily recorded using a portable device. Combined with RGB color analysis, this method enables the quantitative detection of cholesterol. This study provides a promising solution for the development of low-background nanoprobes and portable detection techniques.

{"title":"Long-lived ratiometric phosphorescence probe and portable device for cholesterol sensing in serum without background fluorescence","authors":"Yawen Gao , Qianqian Jiang , Wanqing Liang , Cheng Zhang , Kui Zhang , Zhongping Zhang","doi":"10.1016/j.snb.2025.137332","DOIUrl":"10.1016/j.snb.2025.137332","url":null,"abstract":"<div><div>Visual detection using phosphorescence emission can effectively overcome the background fluorescence interference of complex samples, providing higher sensitivity and accuracy. However, the acquisition of phosphorescence photographs requires the recording of luminescence information immediately after ceasing the excitation source, which poses challenges for portable platforms. In this work, we demonstrated the quantitative analysis of cholesterol in serum by utilizing a homemade portable device combined with long-lived phosphorescent N and P doped carbon dots (NPCDs). The green emissive NPCDs were coated with silica and modified with β-cyclodextrin, resulting in an extremely long lifetime of 1.3 s and a special surface recognition function. By employing Rhodamine B as an energy acceptor, a triplet to singlet Förster resonance energy transfer system was established, leading to the transformation of green phosphorescence into orange-red phosphorescence. When cholesterol is present in the system, it disrupts the energy transfer process, resulting in the recovery of green phosphorescence. This unique color evolution without background fluorescence interference can be easily recorded using a portable device. Combined with RGB color analysis, this method enables the quantitative detection of cholesterol. This study provides a promising solution for the development of low-background nanoprobes and portable detection techniques.</div></div>","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"430 ","pages":"Article 137332"},"PeriodicalIF":8.0,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143050634","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

Construction of Faraday-cage-based aptasensor for detection of Staphylococcus aureus using high-conductivity zirconium/ hafnium metal-organic framework nanofilms

IF 8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Sensors and Actuators B: Chemical

Pub Date : 2025-01-27 DOI: 10.1016/j.snb.2025.137307

Yuting Zhang , Xueting Fan , Xiaoyi Wang, Ke Shi, Xiaoli Wang, Nandi Zhou

A Faraday-cage-based aptasensor based on two-dimensional (2D) high-conductivity zirconium/hafnium-based metal-organic framework (Zr/Hf-MOF) nanofilms is constructed for whole-cell detection of Staphylococcus aureus (S. aureus). A series of Zr-based MOF nanofilms with different doping ratios of hafnium was synthesized using a bottom-up approach, which consists of ferrocenedicarboxylic acid as the ligand and zirconium/hafnium as the central atoms. By investigating the composition, morphologies, and electrochemical properties of these Zr/Hf-MOF nanofilms, Zr-MOF doped the 5 % hafnium (Zr/0.05Hf-MOF) was selected as a 2D signal probe for constructing a Faraday-cage-based aptasensor because of its large size and optimal conductivity. When S. aureus is present, the Zr/0.05Hf-MOF nanofilm is attached to the electrode surface to form a Faraday-cage-based sensing interface, which extends the outer Helmholtz plane layer to lead to a direct electron transmission between the electrode and the signal probes. Under optimized conditions, the limit of detection for S. aureus reaches as low as 1.8 CFU·mL^–1. Tests on real samples demonstrate that the Faraday-cage-based aptasensor provides an accurate and feasible tool for the rapid detection of whole-cell S. aureus, holding great potential for applications in food safety and medical diagnostics.

基于二维（2D）高导电性锆/铪基金属有机框架（Zr/Hf-MOF）纳米薄膜构建了一种法拉第笼式传感器，用于金黄色葡萄球菌（S. aureus）的全细胞检测。采用自下而上的方法，以二茂铁二羧酸为配体，锆/铪为中心原子，合成了一系列不同铪掺杂比的锆基 MOF 纳米薄膜。通过研究这些 Zr/Hf-MOF 纳米薄膜的组成、形态和电化学特性，掺杂了 5% 铪的 Zr-MOF （Zr/0.05Hf-MOF）因其尺寸大、导电性能最佳而被选为构建基于法拉第笼的灵敏传感器的二维信号探针。当有金黄色葡萄球菌存在时，Zr/0.05Hf-MOF 纳米薄膜附着在电极表面，形成一个基于法拉第笼的传感界面，它扩展了外层赫尔姆霍兹平面层，导致电子在电极和信号探针之间直接传输。在优化条件下，金黄色葡萄球菌的检测限低至 1.8 CFU-mL-1。对真实样品的测试表明，基于法拉第笼的灵敏传感器为快速检测全细胞金黄色葡萄球菌提供了一种准确可行的工具，在食品安全和医疗诊断领域具有巨大的应用潜力。

{"title":"Construction of Faraday-cage-based aptasensor for detection of Staphylococcus aureus using high-conductivity zirconium/ hafnium metal-organic framework nanofilms","authors":"Yuting Zhang , Xueting Fan , Xiaoyi Wang, Ke Shi, Xiaoli Wang, Nandi Zhou","doi":"10.1016/j.snb.2025.137307","DOIUrl":"10.1016/j.snb.2025.137307","url":null,"abstract":"<div><div>A Faraday-cage-based aptasensor based on two-dimensional (2D) high-conductivity zirconium/hafnium-based metal-organic framework (Zr/Hf-MOF) nanofilms is constructed for whole-cell detection of <em>Staphylococcus aureus</em> (<em>S. aureus</em>). A series of Zr-based MOF nanofilms with different doping ratios of hafnium was synthesized using a bottom-up approach, which consists of ferrocenedicarboxylic acid as the ligand and zirconium/hafnium as the central atoms. By investigating the composition, morphologies, and electrochemical properties of these Zr/Hf-MOF nanofilms, Zr-MOF doped the 5 % hafnium (Zr/0.05Hf-MOF) was selected as a 2D signal probe for constructing a Faraday-cage-based aptasensor because of its large size and optimal conductivity. When <em>S. aureus</em> is present, the Zr/0.05Hf-MOF nanofilm is attached to the electrode surface to form a Faraday-cage-based sensing interface, which extends the outer Helmholtz plane layer to lead to a direct electron transmission between the electrode and the signal probes. Under optimized conditions, the limit of detection for <em>S. aureus</em> reaches as low as 1.8 CFU·mL<sup>–1</sup>. Tests on real samples demonstrate that the Faraday-cage-based aptasensor provides an accurate and feasible tool for the rapid detection of whole-cell <em>S. aureus</em>, holding great potential for applications in food safety and medical diagnostics.</div></div>","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"429 ","pages":"Article 137307"},"PeriodicalIF":8.0,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143044578","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

Dual-gas sensing via SnO2-TiO2 heterojunction on MXene: Machine learning-enhanced selectivity and sensitivity for hydrogen and ammonia detection 通过 MXene 上的 SnO2-TiO2 异质结实现双气传感：机器学习增强氢气和氨气检测的选择性和灵敏度

IF 8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Sensors and Actuators B: Chemical

Pub Date : 2025-01-27 DOI: 10.1016/j.snb.2025.137340

Ao Zhang, Yan Zhang, Weihua Cheng, Xinran Li, Kai Chen, Fangjie Li, Dongye Yang

This study presents a novel strategy for the rapid detection of hydrogen and ammonia gases through the synthesis of a composite material that integrates SnO₂ and TiO₂ into an n-n heterostructure on the surface of two-dimensional layered Ti₃C₂Tx MXene. The incorporation of Pd nanoparticles significantly enhances the sensor's adsorption and sensing capabilities, particularly for hydrogen. The resulting dual-gas sensor demonstrates a pronounced linear response to hydrogen with a low detection limit of 200 ppb, along with rapid response times, excellent repeatability and long-term stability. Leveraging MXene's superior ammonia adsorption properties, the sensor also exhibits commendable linearity and robustness in detecting ammonia, with strong resistance to humidity-induced interference. To further improve the sensor's performance, machine learning techniques such as support vector machine (SVM) and artificial neural network (ANN) are incorporated, substantially enhancing the sensor's selectivity and sensitivity of the detection. These advancement enables the precise identification and quantification of complex gas mixtures containing hydrogen and ammonia. The sensor’s meticulously designed circuitry operates in real-time sensing mode, ensuring accurate differentiation between the two gases. This research establishes a robust foundation for the development of advanced gas sensing technology, showcasing its potential for multi-gas detection and analysis across diverse industrial and environmental applications.

{"title":"Dual-gas sensing via SnO2-TiO2 heterojunction on MXene: Machine learning-enhanced selectivity and sensitivity for hydrogen and ammonia detection","authors":"Ao Zhang, Yan Zhang, Weihua Cheng, Xinran Li, Kai Chen, Fangjie Li, Dongye Yang","doi":"10.1016/j.snb.2025.137340","DOIUrl":"10.1016/j.snb.2025.137340","url":null,"abstract":"<div><div>This study presents a novel strategy for the rapid detection of hydrogen and ammonia gases through the synthesis of a composite material that integrates SnO<sub>2</sub> and TiO<sub>2</sub> into an n-n heterostructure on the surface of two-dimensional layered Ti<sub>3</sub>C<sub>2</sub>Tx MXene. The incorporation of Pd nanoparticles significantly enhances the sensor's adsorption and sensing capabilities, particularly for hydrogen. The resulting dual-gas sensor demonstrates a pronounced linear response to hydrogen with a low detection limit of 200 ppb, along with rapid response times, excellent repeatability and long-term stability. Leveraging MXene's superior ammonia adsorption properties, the sensor also exhibits commendable linearity and robustness in detecting ammonia, with strong resistance to humidity-induced interference. To further improve the sensor's performance, machine learning techniques such as support vector machine (SVM) and artificial neural network (ANN) are incorporated, substantially enhancing the sensor's selectivity and sensitivity of the detection. These advancement enables the precise identification and quantification of complex gas mixtures containing hydrogen and ammonia. The sensor’s meticulously designed circuitry operates in real-time sensing mode, ensuring accurate differentiation between the two gases. This research establishes a robust foundation for the development of advanced gas sensing technology, showcasing its potential for multi-gas detection and analysis across diverse industrial and environmental applications.</div></div>","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"429 ","pages":"Article 137340"},"PeriodicalIF":8.0,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143050630","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

Modulation of ZnFe2O4 material growth using NiO nanoparticles for highly sensitive response to n-butanol

IF 8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Sensors and Actuators B: Chemical

Pub Date : 2025-01-27 DOI: 10.1016/j.snb.2025.137321

Boyang Jiang, Jing Cao, Kaihua Zhang, Quan Chen, Panxiang Ma

In this paper, NiO was used to modulate the growth of ZnFe₂O₄ materials to achieve a highly sensitive response to n-butanol. The obtained material NZF-8 has a very high response value (129.9) for n-butanol at 100 ppm at 240 ℃, which is 22.8 times higher than the response of ordinary ZnFe₂O₄ (5.7) at the same temperature. It is shown that the amount of nanoscale NiO moderator has a great influence on the morphology, specific surface area and gas-sensitive properties of the prepared materials.

引用次数: 0

A colorimetric biosensor for the analysis of circulating PD-L1 with application to diagnose breast cancer

IF 8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Sensors and Actuators B: Chemical

Pub Date : 2025-01-27 DOI: 10.1016/j.snb.2025.137334

Yincheng Liu , Tianyu Zeng , Shuai Wu , Yanting Sun , Qizhi Liang , Yan Liang , Xiang Huang , Wei Li , Hai Shi , Genxi Li , Yongmei Yin

Increasing studies support the significant potential of circulating PD-L1 in diagnosing breast cancer and identifying the beneficiaries of immunotherapies. Consequently, developing available methods for the accurate detection of circulating PD-L1 has become increasingly important. In this study, we have developed a colorimetric biosensor for visual detection of circulating PD-L1 in the patients with triple-negative breast cancer (TNBC) based on target-activated satellite assembly of MOF-Fe₃O₄ nanoparticles. Specifically, the specific binding between PD-L1 and its aptamer can sequentially activate an enzyme-powered strand displacement amplification (E-SDA) system and a Fe-based metal-organic framework (Fe-MOF)-Fe₃O₄ nanoparticle assembly system. Due to the amplification function of the E-SDA system and the high peroxidase-like activity of Fe-MOFs, sensitive and colorimetric detection of serum-derived soluble PD-L1 and exosomal PD-L1 can be achieved with the limits of detection (LODs) of 5 pg/mL and 1 pg/mL, respectively. Using this flexible platform, it is revealed that the levels of soluble PD-L1 and exosomal PD-L1 can distinguish patients with breast cancer from healthy individuals and determine PD-L1 positivity. Comparatively, the expression levels of exosomal PD-L1 show higher consistency with that of tumor cells measured by immunohistochemistry. Therefore, these results suggest that our exploration provides a novel perspective for developing circulating PD-L1-based clinical diagnosis, enriching detection strategies for various forms of PD-L1, and advancing research in clinical diagnostic technique.

{"title":"A colorimetric biosensor for the analysis of circulating PD-L1 with application to diagnose breast cancer","authors":"Yincheng Liu , Tianyu Zeng , Shuai Wu , Yanting Sun , Qizhi Liang , Yan Liang , Xiang Huang , Wei Li , Hai Shi , Genxi Li , Yongmei Yin","doi":"10.1016/j.snb.2025.137334","DOIUrl":"10.1016/j.snb.2025.137334","url":null,"abstract":"<div><div>Increasing studies support the significant potential of circulating PD-L1 in diagnosing breast cancer and identifying the beneficiaries of immunotherapies. Consequently, developing available methods for the accurate detection of circulating PD-L1 has become increasingly important. In this study, we have developed a colorimetric biosensor for visual detection of circulating PD-L1 in the patients with triple-negative breast cancer (TNBC) based on target-activated satellite assembly of MOF-Fe<sub>3</sub>O<sub>4</sub> nanoparticles. Specifically, the specific binding between PD-L1 and its aptamer can sequentially activate an enzyme-powered strand displacement amplification (E-SDA) system and a Fe-based metal-organic framework (Fe-MOF)-Fe<sub>3</sub>O<sub>4</sub> nanoparticle assembly system. Due to the amplification function of the E-SDA system and the high peroxidase-like activity of Fe-MOFs, sensitive and colorimetric detection of serum-derived soluble PD-L1 and exosomal PD-L1 can be achieved with the limits of detection (LODs) of 5 pg/mL and 1 pg/mL, respectively. Using this flexible platform, it is revealed that the levels of soluble PD-L1 and exosomal PD-L1 can distinguish patients with breast cancer from healthy individuals and determine PD-L1 positivity. Comparatively, the expression levels of exosomal PD-L1 show higher consistency with that of tumor cells measured by immunohistochemistry. Therefore, these results suggest that our exploration provides a novel perspective for developing circulating PD-L1-based clinical diagnosis, enriching detection strategies for various forms of PD-L1, and advancing research in clinical diagnostic technique.</div></div>","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"430 ","pages":"Article 137334"},"PeriodicalIF":8.0,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143044525","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

Regulating microscopic surfaces and structures to boost n-butanol sensing performances in NiCo2O4/NiO composites

IF 8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Sensors and Actuators B: Chemical

Pub Date : 2025-01-27 DOI: 10.1016/j.snb.2025.137341

Chenlu Hu , Yanxu Feng , Jie Huo , Bosen Zhang , Haixu Cui , Shuangming Wang , Qianqian Song , Jing Cao , Xiao Dong

Transforming gas sensing materials from having no performance to presenting high sensing selectivity is full of challenges. For this purpose, water bath assisted sodium borohydride (NaBH₄) treatment is developed and is employed to boost gas sensing dynamics of spinel structure NiCo₂O₄ microspheres. The n-butanol recognition, gas adsorption and carrier transport in the sensing process are tremendously optimized by etching crystal surfaces, breaking metal oxygen bonds, increasing surface area, enhancing oxygen vacancies and dislocation density, reducing crystallite size as well as forming NiCo₂O₄/NiO heterojunction. The NiCo₂O₄ microspheres treated by 0.5 M NaBH₄ solution (NCO-0.5) present apparent n-butanol gas response and sensing selectivity compared to the untreated NiCo₂O₄ microspheres without sensing performance. The density functional theory (DFT) calculation based on adsorption energy and charge density difference further validates the evident adsorption interaction and charge transfer between heterojunction microspheres and n-butanol gas. This feasible NaBH₄ treatment strategy provides more possibilities and choices for performance improvement of semiconductor gas sensing materials.

{"title":"Regulating microscopic surfaces and structures to boost n-butanol sensing performances in NiCo2O4/NiO composites","authors":"Chenlu Hu , Yanxu Feng , Jie Huo , Bosen Zhang , Haixu Cui , Shuangming Wang , Qianqian Song , Jing Cao , Xiao Dong","doi":"10.1016/j.snb.2025.137341","DOIUrl":"10.1016/j.snb.2025.137341","url":null,"abstract":"<div><div>Transforming gas sensing materials from having no performance to presenting high sensing selectivity is full of challenges. For this purpose, water bath assisted sodium borohydride (NaBH<sub>4</sub>) treatment is developed and is employed to boost gas sensing dynamics of spinel structure NiCo<sub>2</sub>O<sub>4</sub> microspheres. The n-butanol recognition, gas adsorption and carrier transport in the sensing process are tremendously optimized by etching crystal surfaces, breaking metal oxygen bonds, increasing surface area, enhancing oxygen vacancies and dislocation density, reducing crystallite size as well as forming NiCo<sub>2</sub>O<sub>4</sub>/NiO heterojunction. The NiCo<sub>2</sub>O<sub>4</sub> microspheres treated by 0.5 M NaBH<sub>4</sub> solution (NCO-0.5) present apparent n-butanol gas response and sensing selectivity compared to the untreated NiCo<sub>2</sub>O<sub>4</sub> microspheres without sensing performance. The density functional theory (DFT) calculation based on adsorption energy and charge density difference further validates the evident adsorption interaction and charge transfer between heterojunction microspheres and n-butanol gas. This feasible NaBH<sub>4</sub> treatment strategy provides more possibilities and choices for performance improvement of semiconductor gas sensing materials.</div></div>","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"429 ","pages":"Article 137341"},"PeriodicalIF":8.0,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143044520","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

Ultrafast response and recovery in advanced H2 sensing: Self-assembled fruit-leaf-like PdO/WO3 nanostructures

IF 8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Sensors and Actuators B: Chemical

Pub Date : 2025-01-27 DOI: 10.1016/j.snb.2025.137339

Jintao Wu , Yanghai Gui , Kuan Tian , Shuaishuai Zhao , Dongjie Guo , Huishi Guo , Xiaoyun Qin , Xiaomei Qin , Yao Guo

As hydrogen is widely used as a clean energy source, the hazards of its flammable and explosive properties are gradually emphasized. Therefore, it is imminent to develop a hydrogen sensor with high response, fast detection speed and low detection limit. In this paper, a PdO/WO₃ composite with fruit-leaf-like structure was synthesized by in-situ hydrothermal and self-assembly impregnation method, and its H₂ sensing performance was investigated. The results show that the self-assembled loading of PdO can greatly improve the H₂ sensing performance of WO₃, in which the PdO/WO₃-1 sensor exhibits a very high response value (338.7) and a very short response/recovery time (1 s/4 s) at 120°C to 100 ppm H₂. The enhanced sensor performance is mainly due to the catalytic effect of the noble metal PdO on H₂ and the synergistic effect between WO₃ and PdO. The growth rhythm of PdO nanoparticles and the effect on the H₂ sensing performance of PdO/WO₃ composites were also explained by varying the concentration of PdCl₂ solution. The density functional theory calculation proves that the hydrogen sensing performance is improved after the combination of PdO and WO₃. This study provides a feasible solution for the development of high-performance WO₃-based H₂ sensors.

随着氢气作为清洁能源的广泛应用，其易燃易爆的危害性也逐渐受到重视。因此，开发一种响应速度快、检测速度快、检测限低的氢气传感器迫在眉睫。本文采用原位水热法和自组装浸渍法合成了一种具有果叶状结构的 PdO/WO3 复合材料，并对其氢气传感性能进行了研究。结果表明，PdO 的自组装负载可以大大提高 WO3 的 H2 传感性能，其中 PdO/WO3-1 传感器在 120°C 温度下对 100 ppm H2 的响应值非常高（338.7），响应/恢复时间非常短（1 s/4 s）。传感器性能的提高主要得益于贵金属 PdO 对 H2 的催化作用以及 WO3 和 PdO 之间的协同效应。通过改变 PdCl2 溶液的浓度，还解释了 PdO 纳米颗粒的生长节奏以及对 PdO/WO3 复合材料 H2 传感性能的影响。密度泛函理论计算证明，PdO 与 WO3 复合后，氢气传感性能得到改善。这项研究为开发基于 WO3 的高性能氢传感器提供了可行的解决方案。

{"title":"Ultrafast response and recovery in advanced H2 sensing: Self-assembled fruit-leaf-like PdO/WO3 nanostructures","authors":"Jintao Wu , Yanghai Gui , Kuan Tian , Shuaishuai Zhao , Dongjie Guo , Huishi Guo , Xiaoyun Qin , Xiaomei Qin , Yao Guo","doi":"10.1016/j.snb.2025.137339","DOIUrl":"10.1016/j.snb.2025.137339","url":null,"abstract":"<div><div>As hydrogen is widely used as a clean energy source, the hazards of its flammable and explosive properties are gradually emphasized. Therefore, it is imminent to develop a hydrogen sensor with high response, fast detection speed and low detection limit. In this paper, a PdO/WO<sub>3</sub> composite with fruit-leaf-like structure was synthesized by in-situ hydrothermal and self-assembly impregnation method, and its H<sub>2</sub> sensing performance was investigated. The results show that the self-assembled loading of PdO can greatly improve the H<sub>2</sub> sensing performance of WO<sub>3</sub>, in which the PdO/WO<sub>3</sub>-1 sensor exhibits a very high response value (338.7) and a very short response/recovery time (1 s/4 s) at 120°C to 100 ppm H<sub>2</sub>. The enhanced sensor performance is mainly due to the catalytic effect of the noble metal PdO on H<sub>2</sub> and the synergistic effect between WO<sub>3</sub> and PdO. The growth rhythm of PdO nanoparticles and the effect on the H<sub>2</sub> sensing performance of PdO/WO<sub>3</sub> composites were also explained by varying the concentration of PdCl<sub>2</sub> solution. The density functional theory calculation proves that the hydrogen sensing performance is improved after the combination of PdO and WO<sub>3</sub>. This study provides a feasible solution for the development of high-performance WO<sub>3</sub>-based H<sub>2</sub> sensors.</div></div>","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"430 ","pages":"Article 137339"},"PeriodicalIF":8.0,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143044524","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

Experimental study on the application of mobile sensing in wireless sensor networks development: Node placement planning and on-site calibration

IF 8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Sensors and Actuators B: Chemical

Pub Date : 2025-01-27 DOI: 10.1016/j.snb.2025.137338

Jianlin Ren , Zhe Li , Xiaodong Cao , Xiangfei Kong

Wireless sensor networks (WSN) are a crucial means of obtaining real-time indoor air quality (IAQ) information in large public buildings. Improper placement of WSN nodes may lead to a significant waste of sensing resources and the overlooking of critical IAQ information. In this study, mobile sensing was used to predict indoor CO₂ concentration in order to guide the placement of WSN nodes by a spatiotemporal processing method. Experimental studies were conducted in a well-controlled chamber with the consideration of different ventilation systems, indoor temperatures, and CO₂ source positions and numbers. Mobile sensing was also used for on-site calibration of low-cost NDIR CO₂ sensors under 20 experimental conditions, and a genetic algorithm-optimized back propagation (GA-PB) neural network was used for calibration fitting. The results indicated that the raw voltage signals of low-cost sensors can be effectively denoised with the use of four-level wavelet decomposition. Mobile sensing performed well in predicting CO₂ concentration; its poorest prediction performance was found at the measurement points closest to the source, with a determination coefficient (R²) of 0.682 and a root mean square error (RMSE) of 6.5 ppm, which met the accuracy requirements. The K-means algorithm yielded the best clustering results, with average CH index values of 11.81, 13.90, 13.89 and 14.05 for cluster numbers of 3, 4, 5 and 6, respectively. For on-site calibration of low-cost CO₂ sensors, the GA-PB neural network achieved an R² above 0.97, an RMSE ranging from 19.2 to 27.6 ppm, and a MAPE in the range of 2.05–2.69 %.

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引用次数: 0

Restraining SnO2 gas sensor response degradation through heterovalent doping

IF 8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Sensors and Actuators B: Chemical

Pub Date : 2025-01-27 DOI: 10.1016/j.snb.2025.137345

Alina Sagitova , Maria Markelova , Anastasiya Nikolaeva , Sergey Polomoshnov , Sergei Generalov , Nikolay Khmelevskiy , Yuriy Grigoriev , Elisaveta Konstantinova , Valeriy Krivetskiy

Degradation of SnO₂ gas sensor response during long-term operation is a major obstacle, which hinders the penetration of metal oxide gas sensor technology in new application fields. The concept has been proposed, that heterovalent doping with transition metal cations may counteract the effects of diffusion related evolution of nanocrystalline material morphology and annealing of quenched defects, which affect electrical properties of material during long term operation. A series of Nb- and/or Cr-doped materials was synthesized via flame spray pyrolysis technique. The characterization was made using XRD, BET, TEM, XPS and EPR methods. Electrical measurements were done in the range of 100–400 °C working temperature range in the DC mode with the use of MEMS-microhotplates. Gas sensor experiments were made in the flow of air with controlled humidity and trace impurity gases (CO, CH₄, NH₃, H₂S, methanol, acetaldehyde, acetone, benzene, formaldehyde) concentration. The observed long-term electrical effects of gas sensor response degradation and baseline drift were corresponded with the ex-situ characterization of the materials via XRD, BET and EPR methods. The processes of grain agglomeration and intergrain neck growth are coinciding with the annealing of oxygen vacancies. The latter leads to the increase of the oxidation state of cations in the node positions of rutile structure and decrease in the charge carrier concentration. The introduction of n-type donor Nb(V) defect alongside with Cr(III) doping leads to two-fold decrease in sensor response drop over operational time compared to pure SnO₂ due to effect of native free electrons substitution by dopant-generated donor ones.

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引用次数: 0

Machine learning-assisted ZnO-based sensor for multi-species recognition of volatile aroma components in tea plant

IF 8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Sensors and Actuators B: Chemical

Pub Date : 2025-01-27 DOI: 10.1016/j.snb.2025.137337

Haiyan Xu , Tingting Jing , Youde Cheng , Mingjia Zheng , Yuqing Li , Lichuan Gu , Yuan Rao , Chuankui Song , Hua Jing , Ke Li

The aroma profile of plant (e.g. tea plant) is mainly influenced by various aromatic substances such as leaf alcohol and geraniol, which play a crucial role in determining the quality of growth and can be also served as biomarker to evaluate the infestation of pests and diseases. Therefore, the detection of volatile aroma components is of great significance to assess the quality and monitor the pests and diseases in plant. In this work, ZnO-based sensor is fabricated to investigate its gas-sensing performance towards six types of representative tea aromas (leaf alcohol, geraniol, capraldehyde, octanol, phenethyl alcohol, methyl salicylate). As a result, the ZnO-based sensor shows the highest gas-sensing response (∼110) with a fast response/recovery time of 29 s / 7 s for 10 ppm leaf alcohol at 325 ℃, and exhibits an impressive limit of detection for leaf alcohol as low as 0.5 ppm with a gas-sensing response value of 6. Meanwhile, machine learning algorithms (SVM, WNN, KNN, LDA, CART and NB) are applied to achieve the accurate recognition of the types and concentrations for tea aromas based on the gas-sensing response values of six types of tea aromas at 225 ℃, 275 ℃ and 325 ℃. The highest classification accuracy can reach 95.8 % and the predication accuracy for the concentration of leaf alcohol is about 97.8 %. This work assists the combination of machine learning with gas sensor in the detection and recognition of multi-species gases, providing supports for the early diagnosis and warning of pests and diseases in plant.

植物（如茶树）的香气特征主要受各种芳香物质（如叶醇和香叶醇）的影响，这些芳香物质对植物的生长质量起着至关重要的作用，也可作为生物标记来评估病虫害的侵扰情况。因此，检测挥发性香气成分对评估植物品质和监测病虫害具有重要意义。本研究制作了基于氧化锌的传感器，研究其对六种代表性茶叶香气（叶醇、香叶醇、己醛、辛醇、苯乙醇、水杨酸甲酯）的气体传感性能。结果表明，基于氧化锌的传感器显示出最高的气敏响应（约 110），在 325 ℃ 下对 10 ppm 叶醇的快速响应/恢复时间为 29 秒/7 秒，对低至 0.5 ppm 的叶醇显示出令人印象深刻的检测限，气敏响应值为 6。同时，应用机器学习算法（SVM、WNN、KNN、LDA、CART 和 NB），根据六种茶香在 225 ℃、275 ℃ 和 325 ℃ 下的气敏响应值，准确识别茶香的类型和浓度。最高分类准确率可达 95.8%，叶醇浓度的预测准确率约为 97.8%。这项工作有助于将机器学习与气体传感器相结合，检测和识别多种类气体，为植物病虫害的早期诊断和预警提供支持。

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引用次数: 0