检索结果-内蒙古大学图书馆

Rapid and accurate identification of multiple metal ions using a bispyrene-based fluorescent sensor array with aggregation-induced enhanced emission property

AGGREGATE

引用

AGGREGATE 2025年第2期6卷

作者： Zheng, Haoran Ma, Hainan Sun, Haolin Zhang, Lina Zhang, Xiaoyu Sun, Ruimeng Wang, Han Xu, Guo-Yang Wang, Lei Qi, Yanfei Jilin Univ Sch Publ Hlth Changchun 130021 Jilin Peoples R China Natl Ctr Nanosci & Technol NCNST CAS Ctr Excellence Nanosci CAS Key Lab Biomed Effects Nanomat & Nanosafety 11 Beiyitiao Beijing 100190 Peoples R China

Multiple metal ions are traditionally detected using inductively coupled plasma mass spectrometry (ICP-MS) and atomic fluorescence spectrometry. Although these methods are sensitive and accurate, they depend on complex instruments and require highly trained operators, making low costly rapid detection challenging. It is urgent to develop a convenient, rapid and sensitive method to detect multiple metal ions. Herein, we designed a bispyrene derivative (BP) with aggregation-induced enhanced emission (AIEE) property to construct a high fluorescent sensor array to realize the effective identification of four metal ions (Fe3+, Cu2+, Co2+ and Cd2+). The differential coordination capability between metal ions and BP with the aid of acetate ions resulted the possibility of array-based sensing. The four heavy metal ions could be immediately classified in the concentration of 100 nM. The limit of detection (LOD) of Fe3+, Cu2+, Co2+, and Cd2+ were as low as 16.2, 21.8, 51.4, and 25.9 nM, respectively. Furthermore, the sensor array was applied for identification multiple heavy metal ions in environmental samples and iron ion in rat serums with identified of 100%. The sample consumption as low as 2 mu L for each detection and the results could be extracted by smartphones under ultraviolet lamps. It provided a rapid, sensitive, low-cost, and on-site multiple metal ions detection method.

关键词： bispyrene environmental samples analysis multiple metal ions principal component analysis sensor array

来源：评论

学校读者我要写书评

暂无评论

Construction of a Novel Semiautomated Electrochemical sensor array Platform and Its Application in Multiplexed Monitoring of Antibiotic Therapy

引用

ACS sensorS 2024年第3期9卷 1349-1358页

作者： Wang, Heyu Liu, Jiang Peng, Zhengchun Wang, Qiqin Wei, Jun Li, Yingchun Harbin Inst Technol Sch Sci Shenzhen 518055 Peoples R China Harbin Inst Technol Shenzhen Key Lab Flexible Printed Elect Technol Shenzhen 518055 Peoples R China Shenzhen Univ Coll Optoelect Engn Shenzhen 518060 Peoples R China Jinan Univ Inst Pharmaceut Anal Coll Pharm Guangzhou 510632 Peoples R China

At present, traditional analytical methods suffer from issues such as complex operation, expensive equipment, and a lengthy testing time. Electrochemical sensors have shown great advantages and application potential as an alternative solution. In this study, we proposed a novel semiautomated electrochemical sensor array (SAESA) platform. The sensor array was fabricated using screen-printed technology with a tubular design where all electrodes were printed on the inner wall. The integration of the tubular sensor array with a pipet allows for a semiautomated process including sampling and rinsing, which simplifies operation and reduces overall time. Each working electrode in the tubular sensor array underwent distinct decoration to get specific sensing responses toward the target analytes in a mixture environment (e.g., blood samples). To demonstrate the applicability of the developed sensing platform for simultaneous multianalyte detection, we chose antibiotic treatment for inflammatory infection as a model scenario and continuously measured three biomarkers, namely, tigecycline (TGC), procalcitonin (PCT), and alanine aminotransferase (ALT). The detection limits were 0.3 mu M, 0.3 ng/L, and 2.76 U/L, respectively. The developed semiautomated electrochemical sensor array exhibits characteristics such as rapid and simple operation, portability, good selectivity, and excellent stability.

关键词： electrochemical sensor multiplex detection antibiotic therapy screen-printed technology therapeutic drug monitoring sensor array

来源：评论

学校读者我要写书评

暂无评论

MEMS-BasedUltra-High Frequency Wireless 10 x 10 QCM sensor array for Biochemical Sensing Applications

引用

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 2024年第5期19卷 791-795页

作者： Kato, Fumihito Shinohara, Junki Yoshino, Manabu Suzuki, Manabu Ogi, Hirotsugu Nippon Inst Technol Dept Mech Engn Gakuendai 4-1Miyashiro Machi Minami Saitama Saitama 3458501 Japan Nippon Inst Technol Res Ctr Adv Mat & Technol Gakuendai 4-1Miyashiro Machi Miyashiro Saitama 3458501 Japan Osaka Univ Grad Sch Engn Yamadaoka 2-1 Suita Osaka 5650871 Japan

The quartz crystal microbalance (QCM) biosensor is one of the devices that enables label-free evaluation of biomolecular reactions. Commercial QCM biosensors have less than 10 channels for detection and are not suitable for the screening. The sensitivity of the QCM biosensor increases as the quartz thickness becomes thinner;however, the limit of thinning is 60-330 mu m. In this study, applying micromachining technology, a QCM sensor array chip of 15 mm square that had 100 ultra-thin quartz resonators (2.5 mu m) that were operated wirelessly was developed. And we succeeded in detecting the resonance spectrum through the device evaluation. (c) 2024 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

关键词： quartz crystal microbalance sensor array wireless device anisotropic etching

来源：评论

学校读者我要写书评

暂无评论

Machine learning assists the sensor array constructed by the tri-emission carbon dots to detect multiple metal ions

引用

MICROCHEMICAL JOURNAL 2024年 201卷

作者： Tang, Yaoyao Zhu, Peide Xu, Quan Wang, Juncheng China Univ Petr Collegel Informat Sci & Engn Coll Artificial Intelligence Beijing 102249 Peoples R China China Univ Petr State Key Lab Heavy Oil Beijing 102249 Peoples R China Chinese Peoples Liberat Army Gen Hosp Inst Stomatol Med Ctr 1 Beijing 100853 Peoples R China

Metal ions are related to the health of daily life, which urges to be detected and identified by efficient sensors. We first synthesize tri-emission carbon dots for the functional determination of six metal ions and obtain the multidimension data to construct the fluorescent sensor array in the work. Inspired by the data-driven method, machine learning is employed in a sensor array to detect and analyze the six metal ions. The ion classification and concentration models are constructed to identify metal ion types and corresponding concentrations. The classification model could correctly discriminate six metal ions, reaching 99.5 % accuracy and the concentration model exhibits an excellent performance range from 30 to 330 mu M, with a mean concentration difference value of 0.12 mu M and R2 value of 0.9845 for the unknown sample. Furthermore, six metal ions in tap water also can be distinguished with 96 % accuracy and the recovery rate is between 101.89 % and 106.37 %. This work shows that the machine learning combined sensor array has significant advantages in detecting multiple metal ions and provides a novel thought for analyzing sensing data, accelerating the development of data-driven strategies in the sensing field. (c) 2001 Elsevier Science. All rights reserved.

关键词： Machine learning Data-driven method Carbon dots sensor array Multiple ion detection

来源：评论

学校读者我要写书评

暂无评论

Dual-Parameter and High-Density sensor array Based on a-IGZO Thin Film Transistors

IEEE ELECTRON DEVICE LETTERS

引用

IEEE ELECTRON DEVICE LETTERS 2024年第7期45卷 1301-1304页

作者： Zhang, Jianhua Cheng, Congcong Zhang, Hao Zhou, Jixing Liu, Hai Zhang, Han Chen, Longlong Zhao, Tingting Shanghai Univ Key Lab Adv Display & Syst Applicat Minist Educ Shanghai 200072 Peoples R China Shanghai Univ Shanghai Collaborat Innovat Ctr Intelligent Sensin Shanghai 201800 Peoples R China Shanghai Univ Sch Microelect Shanghai 201800 Peoples R China

The skin-like pressure and temperature sensing ability is essential for electronic skin, human-machine interactions and soft robotics. The previous studies have primarily addressed single-point detection of either pressure or temperature, whereas the simultaneous mapping of these parameters still remain challenging. This study introduces a sensor array based on an amorphous indium gallium zinc oxide (a-IGZO) thin film transistors (TFTs) that can detect pressure (5.29 kPa(-1), 0.25 to 16 kPa) and temperature (0.55 x 10(-2) degrees C-1, 20 to 70 degrees C) simultaneously and independently. Pressure detection is achieved by a temperature-insensitive piezoresistive film coupled with the gate of TFTs. The temperature is detected by a thermistor diode array in a parallel series, where the diode is formed by connecting the gate and drain of TFTs. The integration of TFTs significantly enhance the spatial resolution of pressure sensor array to 50 pixels per square centimeter (PPSC), surpassing that of human skin (approximately 30 PPSC). The development of this dual-parameter and high-density sensor array has profound significance in electronic skin application.

关键词： Thin film transistors dual-parameter sensor array high-density a-IGZO

来源：评论

学校读者我要写书评

暂无评论

Differentiation of water samples based on sensor array of silver nanoparticles

引用

CHEMICAL PAPERS 2024年第10期78卷 6083-6095页

作者： Shariati-Rad, Masoud Hosseinpouri, Mahya Razi Univ Fac Chem Dept Analyt Chem Kermanshah Iran Razi Univ Res Grp Design & Fabricat Kit Kermanshah Iran

Discrimination and differentiation of waters are important issues. Moreover, study about the authenticity of a food and water product is very important. Herein, six different AgNPs were synthesized by green method and characterized by transmission electron microscopy, dynamic light scattering and zeta potential. In the green synthesis procedure, extract of walnut peel, berry and onion were used as reductant. Based on the prepared AgNPs, sensor arrays were designed for clustering and discrimination of 12 bottled waters and 10 natural waters. AgNPs were prepared by green method. Color variations of AgNPs in the presence of the examined waters were converted to RGB indices and used as signal. After mean centering of the RGB data matrix as preprocessing method, by principal component analysis, the location of the water samples in the new axes known as scores were obtained. In the score plot, distinguish between 10 and 8 water samples of the bottled and natural waters was possible, respectively. Besides, the relation between principal components and chemical composition of the water samples including hardness, Ca2+, Mg2+ and Cl- was investigated.

关键词： Water Discrimination Principal component analysis Silver nanoparticle sensor array

来源：评论

学校读者我要写书评

暂无评论

Multi-signal sensor array based on a fluorescent nanozyme for broad-spectrum screening of pesticides

引用

CHEMICAL ENGINEERING JOURNAL 2024年 482卷

作者： Song, Donghui Tian, Tian Wang, Le Zou, Yuting Zhao, Lingzhu Xiao, Jing Huang, Hui Li, Yongxin Jilin Univ Coll Food Sci & Engn Changchun 130025 Peoples R China Jilin Univ Key Lab Groundwater Resources & Environm Key Lab Water Resources & Aquat Environm Jilin Pro Minist EducColl New Energy & Environm Changchun 130021 Peoples R China

Accurate identification of broad-spectrum pesticides remains a challenge for existing rapid detection technologies based on natural cholinesterase. sensor arrays show excellent promise, but typically rely on increasing receptors to improve sensing dimensionality, which is both cumbersome and imprecise. In this work, inspired by the multiple properties of a fluorescent nanozyme, we constructed a facile and simple sensor array based on the laccase-like activity, peroxidase-like activity, and fluorescent feature of one nanozyme (Cu-BDC-NH2). In the presence of pesticides, they produced differential positive responses and could be captured by linear discriminant analysis and hierarchical clustering analysis. Thus, different pesticides belonged to organophosphates, carbamates, organochlorines, pyrethroids, sulfonylureas, and diphenyloxazolines, respectively, have been successfully discriminated at 1 - 100 mu g/mL. The differentiation of cross -contamination at different concentrations and compositions further validated the sensing performance. More importantly, they demonstrated strong immunity to interference as well as high feasibility for recognizing pesticides in fruits and vegetables, and performed precise identification for blind samples. Therefore, the sensor arrays provided a novel and reliable solution for broad-spectrum pesticide screening, which not only bridged the gap of existing rapid detection methods, but also opened up a new way for food safety regulation.

关键词： Nanozyme sensor array Pesticide residues Broad-spectrum pesticide screening Discrimination

来源：评论

学校读者我要写书评

暂无评论

Dual-Channel Ratiometric Colorimetric sensor array for Quantification and Discrimination of o-, m-, and p-Phenols

引用

FOOD ANALYTICAL METHODS 2023年第1期16卷 96-106页

作者： Lan, Chengwu Meng, Lei Xu, Na Jilin Inst Chem Technol Coll Mat Sci & Engn Jilin 132022 Jilin Peoples R China

The determination of trace o-, m-, and p-phenols in food samples was of great significance, but it is still very challenging due to the low concertation and complex matrix. In comparison to traditional sensors based on the "lock-and-key" strategy, the sensor arrays that mimicked the human olfactory system exhibited excellent universality and efficiency in assays of structural analogs. Herein, we described a costless and robust colorimetric sensor array for quantification and discrimination of o-, m-, and p-phenols. The obtained Cu-2(OH)(3)Cl and Ni-doped Cu-2(OH)(3)Cl with peroxidase-like (POD) activity were served as nanozymes to accelerate the oxidation of 3,3 ',5,5 '-tetramethylbenzidine (TMB) with H2O2. UV-vis absorbance spectroscopy displayed remarkable enhancements both at 652 nm and 450 nm, individually attributable to the formation of single and dual electron-oxidized TMB (TMBox) substances. Then varied phenols regulated the absorbance via specific electron transfer processes. With the two peaks as dual signals, a ratiometric colorimetric sensor array based on nanozymes (i.e., Cu-2(OH)(3)Cl and Ni-doped Cu-2(OH)(3)Cl) was designed to monitor different phenols. The ratio (I-652/I-450) was recorded to quantify phenols sensitively, where internal reference ruled out interferences from the environment and equipment. Moreover, this array was also explored for simultaneous discrimination of o-, m-, and p-phenols. By integrating with colorimetric fingerprints and principal component analysis (PCA), each kind of phenol can be distinctly discriminated even at a very low concentration. This work demonstrated the reliability of a ratiometric sensor array for the recognition of multiple phenols.

关键词： sensor array Ratiometric Colorimetric Phenols Peroxidase Cu-2(OH)(3)Cl

来源：评论

学校读者我要写书评

暂无评论

Qualitative Identification of Single/Mixture Gases Based on Fe-ZnO sensor array and PSO-BP Neural Network

引用

IEEE sensorS JOURNAL 2023年第17期23卷 20037-20043页

作者： Li, Meihua Ge, Shikun Gu, Yunlong Zhang, Yunfan Li, Xiao Zhu, Huichao Wei, Guangfen Shandong Technol & Business Univ Sch Informat & Elect Engn Yantai 264005 Peoples R China Dalian Univ Technol Sch Artificial Intelligence Dalian 116024 Peoples R China

Fe-zinc oxide (ZnO) materials with self-assembled rod-flower structure were synthesized. X-ray diffraction (XRD), energy-dispersive spectroscopy (EDS), scanning electron microscope (SEM), and X-ray photoelectron spectroscopy (XPS) were used to characterize the morphology, elemental composition, and valence analysis of Fe-ZnO. It was verified that Fe-ZnO sensors have good performances for single/mixed test gases. Combining the sensor array with a back propagation neural network algorithm optimized by particle swarm (PSO-BPNN), qualitative identification of ten different gas concentration levels under three categories was achieved with a detection accuracy of 95%. High classification detection was achieved using the PSO-BPNN model even under the influence of different humidity levels (RH = 35%, 50%, and 80%). So, the combined Fe-ZnO sensor array with PSO-BPNN model can effectively detect toxic gases at different concentration levels and therefore has some potential practical values.

关键词： Zinc oxide II-VI semiconductor materials sensors Temperature sensors Gas detectors Iron Zinc Concentration level analysis particle swarm algorithm qualitative identification self-assembled rod-flower structure sensor array

来源：评论

学校读者我要写书评

暂无评论

Event-Driven Non-Invasive Multi-Core Cable Current Monitoring Based on sensor array

引用

IEEE TRANSACTIONS ON POWER DELIVERY 2023年第3期38卷 1548-1557页

作者： Zhu, Qi Geng, Guangchao Jiang, Quanyuan Zhejiang Univ Coll Elect Engn Hangzhou 310027 Zhejiang Peoples R China

Current monitoring of multi-core cables plays an important role in various applications since cables are widely utilized in distribution and transmission systems. However, existing current sensing devices which are mostly designed for the single conductor break the cable jacket to measure conductor currents in multi-core cables. Recently various non-invasive sensing devices with reconstruction algorithms are designed for rapid access to currents in multi-core cables but don't make full use of abundant information during current monitoring. Thus, this paper proposes an event-driven non-invasive multi-core cable current monitoring method using an array of magnetic field sensors. Real-time currents of the multi-core cable are determined by solving conductor localization and current measurement problems. Since the observed changes of the magnetic field around the cable are caused by current or position changes, conductor localization is driven by the events which are classified as electrical events and mechanical events respectively. The key idea is to improve the accuracy of conductor localization through effective electrical events. Then current monitoring is achieved by solving current measurement problems using more accurate conductor positions and the measured magnetic field. This method is utilized in the real cable current monitoring, a sustaining decrease of relative current errors is observed, which is below 1% in long-term monitoring.

关键词： Conductors Power cables Current measurement sensor arrays Monitoring Magnetic fields Cable shielding Current monitoring current sensor event clustering and filtering non-invasive current measurement sensor array

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：