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Microwave sensor array Based on Differential Mode Detection Strategy

IEEE MICROWAVE AND WIRELESS TECHNOLOGY LETTERS 2025年第2期35卷 257-260页

作者： Xu, Leijun Li, Fanfan Zhang, Shengqi Bai, Xue Wang, Qiang Chen, Jianfeng Jiangsu Univ Sch Elect & Informat Engn Zhenjiang 212013 Peoples R China Southeast Univ State Key Lab Millimeter Waves Nanjing 210096 Peoples R China Guilin Univ Elect Technol Sch Optoelect Engn Guilin 541004 Peoples R China

A novel microwave sensor array utilizing a differential-mode detection strategy is introduced for localized material defect detection. Two types of modified split-ring resonators (SRRs) with unloaded Q-factor above 437 and 290, respectively, are utilized to construct the basic differential sensing elements. By arranging these elements with different sizes, a sensor array can be realized. Since the distinct resonant frequency of each element, multiple transmission zeros are included in the working range. Each resonance zero corresponds to an independent region of the material under test (MUT). Any local defect will cause a split in the corresponding resonant frequency. Therefore, detection results can be obtained simply by observing the split points in the resonance spectrum, eliminating the need for further calibration. This letter presents the coupling mechanisms of the proposed two basic sensing units and the operating principle of the proposed sensor array. A prototype operating from 2.4 to 4.6 GHz with five independent differential units has been designed and fabricated. Three different samples with local defects were used for validation.

关键词： sensor arrays Microwave sensors Filtering theory Couplings Prototypes Microwave measurement Microwave circuits Microstrip antenna arrays Dielectrics Calibration Differential measurement microwave sensor sensor array split-ring resonator (SRR)

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A Novel Acid-Sensitive Colorimetric and Fluorescence Dual Signal sensor array for Baijiu Detection

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FOOD ANALYTICAL METHODS 2024年第4期17卷 564-573页

作者： Duan, Yunxuan Zhang, Jing Jiang, Zhilin Lan, Jingsha Weng, Xiaoqi Zhao, Minhui Chen, Jing Zuo, Yong Sichuan Normal Univ Coll Life Sci Chengdu 610101 Peoples R China Chengdu Univ Coll Food & Biol Engn Chengdu 610106 Peoples R China Yibin Univ Fac Qual Management & Inspection & Quarantine Solid State Fermentat Resource Utilizat Key Lab Si Yibin 644000 Peoples R China

In this work, based on the degradation of rhodamine B (RhB) and rhodamine 6G (R6G) with the catalysis of MnO2 nanosheets (MnO2 NSs) under acidity condition, a colorimetric and fluorescence dual signal sensor array was developed for Baijiu discrimination. Rhodamine B and rhodamine 6G present characteristic UV-vis absorption peaks and fluorescence emission peaks at specific wavelength. MnO2 NSs could induce the degradation of rhodamine B and rhodamine 6G and weaken the intensity of UV-vis and fluorescence. In the presence of organic acids or Baijiu, the degradation of dyes accelerated and the optical signal could be further weakened. Owing to the various of acidity, the sensor array exhibited different responses to organic acids and Baijiu, resulting in unique fingerprint maps. With the method, 8 kinds of organic acids and formic acid-acetic acid mixture samples were successfully recognized. In addition, 12 kinds of Baijiu with different flavor types were identified with 100% accuracy. Notably, 5 other distilled liquors were also successfully discriminated with no misclassifications. The method not only reduces the amount of dyes, but also improves the specificity of the sensor array, demonstrating the potential application prospects of the dual signal sensor array in Baijiu industry.

关键词： Dyes Degradation MnO2 NSs sensor array Organic Acids Baijiu

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Research and Application on In Situ Monitoring System Based on sensor array for Intertidal Beach Topography

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IEEE sensorS JOURNAL 2024年第20期24卷 33036-33047页

作者： Ge, Yongqiang Zhou, Qixiao Zhou, Peng Ge, Han Ai, Jingkun Zhu, Hai Wang, Yuhong Si, Yulin Chen, Jiawang Mei, Deqing Zhejiang Univ Ocean Coll Zhoushan 316021 Peoples R China Donghai Lab Zhoushan 316021 Peoples R China

Terrain monitoring of intertidal beach is important to the coastline evolution research. Due to the complexity of the intertidal environment and the dynamics of terrain changes, in situ, real-time, and long-term monitoring of intertidal beach topography are big difficulties for existing observation methods. This article describes the design and field experimental research of a terrain in situ monitoring system based on sensor array. The monitoring system has two 20-m long flexible sensor arrays containing 42 sensor nodes can monitor the terrain changes of an area with 10x10 m simultaneously. The optimal arrangement conditions of sensor arrays are deduced to completely reconstruct the terrain changes. A calculation model for terrain change is also proposed to convert the three-axis acceleration into vertical displacement of sensor array. To evaluate the monitoring system and validate the arrangement condition and reconstruction model, a field experiment is conducted on an intertidal beach in Zhoushan Island. The cumulative displacement and vertical velocity of silt zone and tidal height and waves are observed and obtained. The results demonstrate the feasibility and stability of the proposed system under real-time field monitoring conditions.

关键词： Cumulative displacement field experiment in situ monitoring intertidal beach topography sensor array Cumulative displacement field experiment in situ monitoring intertidal beach topography sensor array

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Peroxidase-like CuS nanozyme-based sensor array for the quantification and discrimination of ascorbic acid

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JOURNAL OF NANOPARTICLE RESEARCH 2024年第11期26卷 257页

作者： Ye, Qianyun Wang, Wenhao Jiang, Mingxin Sun, Xiaohuan Han, Jie Yangzhou Univ Sch Chem & Chem Engn Yangzhou 225002 Peoples R China

The peroxidase (POD)-like nanozymes are regarded as facile and convenient toolkits for the quantification of ascorbic acid (AA). Nevertheless, their insufficient specificity for AA in comparison to other biological antioxidants, such as glutathione (GSH) and cysteine (Cys), severely hindered the discrimination of AA in complex systems. To attain simultaneous quantification and discrimination of AA from GSH and Cys, a CuS nanoparticles-based sensor array with multichannel output signals is constructed in this study. The CuS nanoparticles exhibit superior POD-like activity and can effectively initiate the oxidation of 3, 3 ', 5, 5 '-tertamethylbenzidine (TMB) to oxidized TMB (oxTMB), accompanied by a measurable change in UV-Vis absorption, solution color and photothermal performance. However, in the presence of antioxidants, the aforementioned process is inhibited and the oxTMB is reduced back to TMB, resulting in signal (UV-Vis absorption, RGB and photothermal heating temperature) changes corresponding to the identity and concentration of antioxidants. As a consequence, by creating a finger print pattern using the multichannel output signals through linear discriminant analysis (LDA) and principal component analysis (PCA), the CuS nanoparticle-based sensor array enables the simultaneous quantification and discrimination of AA from GSH and Cys both in aqueous solution and human serum. This study presents a novel approach for the precise quantification and differentiation of AA and shows great potential in practical application.

关键词： CuS nanoparticle Peroxidase-like activity sensor array Ascorbic acid quantification and discrimination

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Spectral interrogation Ta2O5: WO3 composite guided mode resonance sensor array: Detection and discrimination of VOC mixture

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sensorS AND ACTUATORS B-CHEMICAL 2025年 426卷

作者： Boonruang, Sakoolkan Srisuai, Nantarat Chananonnawathorn, Chanunthorn Noikorn, Pundharika Tantiwanichapan, Khwanchai Horprathum, Mati Mohammed, Waleed S. Natl Elect & Comp Technol Ctr NECTEC Optoelectrochem Sensing Res Team OEC Spectroscop & Sensing Devices Res Grp SSDRG Pathum Thani 12120 Thailand Natl Elect & Comp Technol Ctr NECTEC Terahertz Technol Res Team TRT Spectroscop & Sensing Devices Res Grp SSDRG Pathum Thani 12120 Thailand Bangkok Univ Sch Engn BU CROCCS Pathum Thani 12120 Thailand

Nowadays, optical sensor array with intensive machine learning (ML) has more influence on multiple analytes' sensing particularly when the sensors suffer of low selectivity. This paper emphasizes on implementing a label- free Ta2O5:WO3 composite guided mode resonance (GMR) sensor array and a spectral interrogation method for complex volatile organic compound (VOC) detection and discrimination at room temperature. A 3 x 3 GMR sensor array is constructed using a co-sputtering technique with a shadow-mask assisted to alter the composition of the Ta2O5:WO3 waveguide film on top of an imprinted one-dimensional grating. The film has two functionalities: a main guiding layer and a VOC molecular adsorber/sensing. Using an in-house built 9 channels CMOSbased spectroscopy, a unique VOC fingerprint can be generated through crossed reaction of the sensors. Here, the sensor is experimentally validated by exposure to vapor phase of the ternary mixture of alcohols (isopropanol, ethanol, and methanol). The results show variance in signal matrix of each alcohol. The WO3 sensor appears to be more selective to methanol, where the signal is substantially improved up to 2.5 times in the Ta2O5:WO3 composite sensor with ratio of 60:40. The resonance matrices are measured and further analyzed by means of machine learning to show feasibility of the complex VOC discrimination. By applying the classification learning application in MATLAB with KNN algorithm, the results show 91.3 % accuracy, where 15-fold crossed validation of 160 tested data (10 measurements of each 16 samples) are used to train the model.

关键词： Guided mode resonance sensor sensor array Metal oxide composite thin film Resonance wavelength Volatile organic compounds optical sensor Multi-channel resonance spectroscopy

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Graphyne-supported manganese single-atom nanozyme sensor array for bisphenol identification

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TALANTA 2025年 285卷 127326页

作者： Xia, Jianing Fu, Ruixue Li, Zhen Ding, Yaping Zhao, Hongbin Ye, Daixin Shanghai Univ Dept Chem Coll Sci Coll Sci Shanghai 200444 Peoples R China Shanghai Univ Inst Sustainable Energy Coll Sci Shanghai 200444 Peoples R China

Bisphenols, as common industrial raw materials, are widely used in food packaging such as plastics. However, their migration and residue may affect the hormone secretion of the human body and then lead to health problems. Therefore, a low-cost, rapid and simple detection method that can simultaneously detect multiple bisphenols is very necessary. In this work, two types of manganese single-atom nanozymes with excellent peroxidase-like activity were synthesized with graphyne as a support. A high-throughput colorimetric sensor array was constructed using three types of nanozymes (Mn-GY, Mn-GY-2N, GY-2N) to distinguish various bisphenols. Due to the absorption of bisphenol molecules on the surface of nanozymes, the activity of nanozymes decreases differently, when different bisphenols are added to the catalytic system. The results proved that the prepared sensor had good linear relationships at both low and high concentrations for determination of five bisphenols. The LODs of BPA, BPS, BPF, BPAF, and Diphenolic Acid were 0.443, 0.280, 0.277, 0.424, and 0.326 mu M respectively. Compared with traditional sensors, the sensor array can simultaneously detect multiple analytes with high throughput, showing great advantage in dealing with complex samples. Combined with machine learning algorithms, five bisphenols can be successfully identified by the obtained array data. The sensor array also demonstrated excellent performance in the detection of both mixed samples and real samples. This high- throughput colorimetric sensor array achieves accurate and sensitive detection of bisphenol substances, providing new means and ideas for enhancing food safety. At the same time, the simple and rapid identification of structurally similar compounds demonstrates its potential for more precise analysis, providing possibilities for future development.

关键词： Single-atom nanozyme sensor array Graphyne Manganese-based

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Machine Learning-Driven Ultrasensitive WSe2/MWCNT Hybrid-Based E-Nose sensor array for Volatiles Amines Mixture

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ADVANCED FUNCTIONAL MATERIALS 2025年第12期35卷

作者： Gaur, Snehraj Singh, Sukhwinder Bhatia, Ajay Bhutani, Vansh Verma, Mohit Haick, Hossam Pareek, Vishakha Gupta, Ritu Indian Inst Technol Delhi Dept Chem New Delhi 110016 India Indian Inst Technol Jodhpur Dept Chem Jodhpur 342037 Rajasthan India Indian Inst Technol Jodhpur IHub Drishti Jodhpur 342037 Rajasthan India Technion Israel Inst Technol Dept Chem Engn IL-320003 Haifa Israel Israel Inst Technol Russell Berrie Nanotechnol Inst Techn IL-320003 Haifa Israel

Volatile amines in breath act as biomarkers for kidney and liver diseases. Monitoring these amines, especially when present as a mixture, provides insights into the metabolic state of the body. This study focuses on differentiating volatile amines by systematically modulating the conductivity and sensitivity of WSe2/Multiwalled Carbon Nanotubes composite-based sensors. The fabricated chemiresistive sensor array demonstrates high selectivity, sensitivity (7.67% ppm(-1)), fast response and recovery kinetics (32 s/137 s), and accurate discrimination among target amines, even in the presence of other VOCs (volatile organic compounds). The sensor array operates at room temperature and achieves a theoretical limit of detection (LOD) of 387 ppt, 206, 157, and 202 ppb for triethylamine (TEA), dimethylamine (DMA), methylamine (MA), and ammonia (NH3), respectively, demonstrating its suitability for breath sensing and diagnostics. Machine learning (ML) analysis is employed to differentiate between the volatile amines and mixtures with 94% accuracy. The ability to detect these amines at such low ppt and ppb levels underscores the potential of this e-nose technology for high-performance applications in early-stage disease diagnostics.

关键词： machine learning MWCNT room temperature sensor array volatile amines WSe2

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Silver Nanoparticle sensor array for the Detection of SARS-CoV-2

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ACS APPLIED NANO MATERIALS 2024年第8期7卷 9136-9146页

作者： Lam, Benjamin Retout, Maurice Clark, Alex Garretson, Aaron Carlin, Aaron Jokerst, Jesse Univ Calif San Diego Dept Nano & Chem Engn La Jolla CA 92093 USA Univ Calif San Diego Dept Med La Jolla CA 92093 USA Univ Calif San Diego Dept Pathol La Jolla CA 92093 USA Univ Calif San Diego Dept Nano & Chem Engn Mat Sci & Engn Program La Jolla CA 92093 USA Univ Calif San Diego Dept Radiol La Jolla CA 92093 USA

We report a silver nanoparticle (AgNP) sensor array to detect SARS-CoV-2 viral particles utilizing five peptide receptors to produce a colorimetric response. We show that the interaction of the virus particles with the peptides interferes with the shift in plasmonic absorbance and hinders the formation of snowflake-like fractal assemblies between the AgNPs and the bridging peptides. The limit of detection in water of the sensor array was 500,000 viral copies/mL. We demonstrate the capabilities of the sensor array to distinguish between SARS-CoV-2 (Beta, Delta, and Omicron variants) from the influenza virus at the 99% confidence level through linear discriminant analysis. The sensor array was also able to discriminate three out of five negative exhaled breath condensate samples from five positive SARS-CoV-2 EBC samples.

关键词： colorimetric sensing diagnostics peptides SARS-CoV-2 sensor array silvernanomaterials

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Discrimination of bottled mineral water from tap water using a Dip-Type colorimetric paper-based sensor array and chemometrics

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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024年 321卷 124719页

作者： Hatamifar, Yaser Shojaeifard, Zahra Hemmateenejad, Bahram Shiraz Univ Chem Dept Shiraz Iran

Mineral water is a natural water that originated from an underground water table, a well, or a natural spring which is considered microbiologically intact. The revenue from the bottled mineral water industry will be USD 342.40 billion in 2023, and it is expected to grow at a compound annual growth rate (CAGR) of 5.24 %. Consequently, the discrimination of original bottled mineral water from tap water is an important issue that requires designing sensors for simple and portable identification of these two types of water. In this work, we have developed a Dip-Type colorimetric paper-based sensor array with three organic dyes (Bromothymol Blue, Bromophenol Blue, and Methyl Red) followed by chemometrics' pattern recognition methods (PCA and LDA) for discrimination of original bottled mineral waters from tap waters based on differences in ion variety and ion quantity. Forty brands of mineral water and twenty-six Tap water samples from different regions of Shiraz and other Iranian cities were analyzed by this sensor array. Moreover, these experiments were performed in two consecutive years to check the versatility of the sensor with seasonal changes in waters. This sensor array was able to discriminate these two water types from each other with an accuracy of > 95 % based on the analysis of 85 water samples.

关键词： Water quality sensor array Rapid test Discriminant analysis Chemometrics

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A novel sensor array with ability to respectively identify phenol and ketone for the precise discrimination of origins of raw Pu-erh and its counterfeiting

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FOOD RESEARCH INTERNATIONAL 2025年 199卷 115371页

作者： Bi, Zhichun Zhen, Linxue Li, Jie Jin, Peize Gu, Yu Ma, Yu Song, Donghui Yang, Xiaoyu Li, Yongxin Huang, Hui Jilin Univ Coll Food Sci & Engn Changchun 130062 Peoples R China Jilin Univ Coll New Energy & Environm Key Lab Groundwater Resources & Environm Minist Educ Changchun 130021 Peoples R China Jilin Univ Coll New Energy & Environm Jilin Prov Key Lab Water Resources & Water Environ Changchun 130021 Peoples R China

Most reported sensor arrays for teas were based on the sensing of phenolic hydroxyl group on tea polyphenols. In this work, a novel sensor array was developed based on the simultaneous sensing of phenols and ketones, for the enhanced discrimination of tea polyphenols with/without ketone, and then for the efficient discrimination of raw Pu-erh teas from different origins and the counterfeit, combined with machine learning. This sensor array is consisting of four channels. Channel A is carbon dots, room-temperature carbon nanoparticles (RT-CNPs), whose fluorescence can be quenched by ketone;Channel B is the chromogenic agent, 2,4-Dinitrophenylhydrazine (DNPH), which can combine with ketone to undergo absorption spectral changes. Tea polyphenols without ketone have little effect on Channel A and Channel B. Channel C (RT-CNPs + nanozyme) and Channel D (DNPH + nanozyme) are the addition of nanozyme with polyphenol oxidase activity to Channel A and Channel B. The nanozyme can catalyze the oxidation of phenols to the quinones, which means Channel C and D can react to tea polyphenols with phenols or ketones. Based on the different quenching efficiency of various tea polyphenols on the carbon dots, differences in the color due to the ketone combination with DNPH, and differences in the degrees of tea polyphenol's oxidation by the nanozyme, the proposed four-channel sensor array achieved the enhanced discrimination of tea polyphenols. This sensing technology which can simultaneously recognize phenols and ketones, has an excellent applicating prospects in the recognition and distinguish of tea and its derivatives (such as tea drinks), with oxidation and transformation of tea polyphenols.

关键词： sensor array Raw Pu-erh Tea polyphenols Ketone Nanozyme

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