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A compressible high-sensitivity flexible sensor array for real-time motion artifact detection in magnetic resonance imaging

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NANO ENERGY 2024年 131卷

作者： Xu, Chenhui Peng, Gang Hu, Yiran Chen, Yongyang Xu, Yong Huo, Xiaoqing Deng, Jizhong Zheng, Jiajia Chen, Yiming Zhang, Zhiwei Tao, Li Wu, Zhiyi Chongqing Med Univ Affiliated Hosp 1 Dept Radiol Chongqing 400016 Peoples R China Zhejiang Normal Univ Coll Engn Key Lab Urban Rail Transit Intelligent Operat & Ma Jinhua 321004 Peoples R China Chinese Acad Sci Beijing Inst Nanoenergy & Nanosyst Beijing 100083 Peoples R China

Magnetic Resonance Imaging (MRI) serves as a critical tool in modern medical diagnosis, and its accuracy is directly linked to patient treatment and recovery. However, unintentional patient movement during MRI scans often results in motion artifacts on the images, significantly compromising the precision of diagnosis. Traditional solutions typically involve identifying and addressing these issues after the scanning sequence is completed, leading to significant resource waste and delays in patient treatment. Here, we propose a flexible tactile sensor array system based on triboelectric nanogenerators (TENGs) for real-time monitoring of head motion artifacts in MRI. The unique design of the tactile sensor structure, operating in a dual-electrode mode, maintains high sensitivity and a wide response range, even with a minimal surface area. The advantage of TENG is the wide range of material choices, ensuring that a proper selection will not interfere with MRI during application. By integrating TENG sensor technology and control program systems, this solution provides a novel approach for monitoring head motion artifacts in MRI. On the basis of ensuring patient comfort, it has saved the time and money costs of monitoring, improved the efficiency of detection, and demonstrated significant potential in the field of medical imaging.

关键词： Magnetic resonance imaging Motion artifacts Real-time monitoring sensor array Smart medical care

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A colorimetric sensor array based on peroxidase activity nanozyme for the highly efficient differential sensing of tea polyphenols and Tieguanyin adulteration

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FOOD CHEMISTRY 2024年 432卷 137265页

作者： Yang, Xiaoyu Bi, Zhichun Yin, Chenghui Zhang, Shuyi Song, Donghui Huang, Hui Li, Yongxin Jilin Univ Coll Food Sci & Engn Changchun 130025 Peoples R China Jilin Univ Key Lab Groundwater Resources & Environm Minist Ed Key Lab Water Resources & Aquat Environm Jilin Pro Coll New Energy & Environm Changchun 130021 Peoples R China

Tieguanyin (TGY) is one of top ten famous teas in China, but in the process of brand building there is the phenomenon of falsehood, thus harming the interests of consumers. To solve the adulterate problem of TGY, a colorimetric sensor array (CSA) based on peroxidase activity of nanozyme was constructed. Nanozymes can catalyze 3,3 & PRIME;,5,5 & PRIME;-tetramethylbenzidine (TMB) to 3,3 & PRIME;,5,5 & PRIME;-tetramethyl -[1,1 & PRIME;-bis(cyclohexyl)]-2,2 & PRIME;,5,5 & PRIME;-tetraene4,4 & PRIME;-diimine (oxTMB), while the tea polyphenols (TPs) can inhibit this process, and the degree of inhibition varies significantly with the reaction time. We selected two nanozymes and three reaction time points to construct CSA. It can successfully distinguish TPs in TGY. The discriminative analysis can achieve: (1) distinction between TGY and adulterated tea, (2) discrimination of TGY in various seasons and seasonal adulteration in different degrees. The method constructed in this work is promising for both the class and quality differentiation of TGY and other teas with TPs as the main activity.

关键词： Tieguanyin Adulteration Tea polyphenols sensor array Nanozyme

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Design and Characterisation of a Non-Contact Flexible sensor array for Electric Potential Imaging Applications

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IEEE sensorS JOURNAL 2021年第23期21卷 26328-26336页

作者： Pouryazdan, Arash Costa, Alio C. Garcia-Garcia, Leonardo Lugoda, Pasindu Prance, Robert J. Prance, Helen Munzenrieder, Niko Univ Sussex Sensor Technol Res Ctr Flexible Elect Lab Brighton BN1 9QT E Sussex England Univ Sussex Falmer Sensor Technol Res Ctr Flexible Elect Lab Brighton BN1 9QT E Sussex England Free Univ Bozen Bolzano Fac Sci & Technol I-39100 Bolzano Italy

Capacitivenon-contact imaging of electric fields and potentials with micro-metre resolution can provide relevant insights into material characterisation, structural analysis, electrostatic charge imaging and bio-sensing applications. However, scanning electric potential microscopes have been confined to rigid and single-probe devices, making them slow, prone to mechanical damage and complex to fabricate. In this work, we present the design and characterisation of a novel 5-element flexible array of electric potential probes with spatial resolution down to 20 mu m to speed up the scanning time. This was achieved by combining flexible thin-film probes for active guarding and shielding with state-of-the art discrete conditioning circuits. The potential of this approach is showcased by using the fabricated array to image latent fingerprints deposited on an insulating surface by contact electrification, obtain the surface topography of conductive samples and to visualise local dielectric variations.

关键词： Flexible electronics capacitive sensors electric potential imaging sensor array

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Finite Element Simulation and Piezoelectric sensor array-Driven Two-Stage Impact Location on Composite Structures

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PROCESSES 2024年第12期12卷 2675-2675页

作者： Wang, Zhiling Zhong, Yongteng Jinling Inst Technol Sch Mech & Elect Engn Nanjing 211169 Peoples R China Wenzhou Univ Coll Mech & Elect Engn Wenzhou 325035 Peoples R China

Impact monitoring is an effective approach to ensuring the safety of composite structures. The accuracy of current algorithms mostly depends on the number of physical sensors, which is not an economical way for large-area composite structures. In order to combine the advantages of sparse and dense arrays, a two-stage collaborative approach is proposed to locate the general areas and precise positions of impacts on composite structures. In Stage I, the steering vector information of the possible position is simulated according to the principle of array sensor signal processing, and a virtual array sparse feature map is constructed. When an actual impact arrives, a similarity algorithm is then used to find the suspected area in the map, which narrows down the search area to a large extent. In Stage II, a compensated two-dimensional multiple signal classification (2D-MUSIC) algorithm-based imaging method is applied to estimate the precise position of the impact in the suspected area. Finally, the accuracy and effectiveness of the proposed method are validated by numerical simulation and experiments on a carbon fiber composite panel. Both numerical and experimental results verify that the two-stage impact location method can effectively monitor composite structures with sufficient accuracy and efficiency.

关键词： two-stage impact location finite element simulation sensor array 2D-MUSIC algorithm composite structures

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A bimetallic peroxidase-mimicking nanozyme with antifouling property for construction of sensor array to identify phosphoproteins and diagnose cancers

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BIOsensorS & BIOELECTRONICS 2024年 258卷 116370页

作者： Lv, Han Ma, Xinxin Zhang, Guofang Wang, Huijie Hai, Xin Bi, Sai Qingdao Univ Univ Funct Mol & Mat Coll Chem & Chem Engn Key Lab Shandong Prov Qingdao 266071 Peoples R China

Protein phosphorylation is a significant post-translational modification that plays a decisive role in the occurrence and development of diseases. However, the rapid and accurate identification of phosphoproteins remains challenging. Herein, a high-throughput sensor array has been constructed based on a magnetic bimetallic nanozyme (Fe3O4@ZNP@UiO-66) for the identification and discrimination of phosphoproteins. Attributing to the formation of Fe-Zr bimetallic dual active centers, the as-prepared Fe3O4@ZNP@UiO-66 exhibits enhanced peroxidase-mimicking catalytic activity, which promotes the electron transfer from Zr center to Fe(II)/Fe(III). The catalytic activity of Fe3O4@ZNP@UiO-66 can be selectively inhibited by phosphoproteins due to the strong interaction between phosphate groups and Zr centers, as well as the ultra-robust antifouling capability of zwitterionic dopamine nanoparticle (ZNP). Considering the diverse binding affinities between various proteins with the nanozyme, the catalytic activity of Fe3O4@ZNP@UiO-66 can be changed to various degree, leading to the different absorption responses at 420 nm in the hydrogen peroxide (H2O2) - 2, 2 '-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) system. By simply extracting different absorbance intensities at various time points, a sensor array based on reaction kinetics for the discrimination of phosphoproteins from other proteins is constructed through linear discriminant analysis (LDA). Besides, the quantitative determination of phosphoproteins and identification of protein mixtures have been realized. Further, based on the differential level of phosphoproteins in cells, the differentiation of cancer cells from normal cells can also be implemented by utilizing the proposed sensor array, showing great potential in disease diagnosis.

关键词： sensor array Peroxidase-mimicking nanozyme Dual active centers Zwitterionic polymers Phosphoproteins discrimination

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Nanozymes sensor array for discrimination and intelligent sensing of phenolic acids in food

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FOOD CHEMISTRY 2024年 450卷 139326页

作者： Jing, Wenjie Yang, Yajun Shi, Qihao Xu, Jiahao Xing, Guanjie Dai, Yujie Liu, Fufeng Tianjin Univ Sci & Technol Tianjin Key Lab Ind Microbiol Coll Biotechnol 29 13th St Tianjin 300457 Peoples R China Tangshan Normal Univ Tangshan Key Lab Photoelect Convers Mat 156 Jianshe North Rd Tangshan 063002 Hebei Peoples R China

Although nanozymes sensor arrays have the potential to recognize multiple target substances simultaneously, they currently rarely identify phenolic acids in food due to limited catalytic performance and complex preparation conditions of nanozymes. Here, inspired by the structure of polyphenol oxidase, we have successfully prepared a novel gallic acid-Cu (GA-Cu) nanozyme with laccase-like activity. Due to the different catalytic efficiency of GA-Cu nanozymes towards six common phenolic acids, a three-channel colorimetric sensor array was constructed using reaction kinetics as the sensing unit to achieve high-throughput detection and identification of six phenolic acids within a concentration range from 1 to 100 mu M. This method avoids the creation of numerous sensing units. Notably, the successful discrimination of six phenolic acids in samples of juice, beer, and wine has been achieved by the sensor array. Finally, aided by smartphones, a portable technique has been devised for the detection of phenolic acids.

关键词： Nanozymes Laccase-like sensor array Phenolic acids Smartphones

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sensor array design of optically pumped magnetometers for accurately estimating source currents

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NEUROIMAGE 2023年第1期277卷 120257-120257页

作者： Takeda, Yusuke Gomi, Tomohiro Umebayashi, Ryu Tomita, Sadamu Suzuki, Keita Hiroe, Nobuo Saikawa, Jiro Munaka, Tatsuya Yamashita, Okito RIKEN Ctr Adv Intelligence Project Computat Brain Dynam Team 2-2-2 HikaridaiSeika Cho Kyoto 6190288 Japan ATR Neural Informat Anal Labs Dept Computat Brain Imaging 2-2-2 HikaridaiSeika Cho Kyoto 6190288 Japan Shimadzu Co Ltd Technol Res Lab 3-9-4 HikaridaiSeika Cho Kyoto 6190237 Japan

An optically pumped magnetometer (OPM) is a new generation of magnetoencephalography (MEG) devices that is small, light, and works at room temperature. Due to these characteristics, OPMs enable flexible and wearable MEG systems. On the other hand, if we have a limited number of OPM sensors, we need to carefully design their sensor arrays depending on our purposes and regions of interests (ROIs). In this study, we propose a method that designs OPM sensor arrays for accurately estimating the cortical currents at the ROIs. Based on the resolution matrix of minimum norm estimate (MNE), our method sequentially determines the position of each sensor to optimize its inverse filter pointing to the ROIs and suppressing the signal leakage from the other areas. We call this method the sensor array Optimization based on Resolution Matrix (SORM). We conducted simple and realistic simulation tests to evaluate its characteristics and efficacy for real OPM-MEG data. SORM designed the sensor arrays so that their leadfield matrices had high effective ranks as well as high sensitivities to ROIs. Although SORM is based on MNE, the sensor arrays designed by SORM were effective not only when we estimated the cortical currents by MNE but also when we did so by other methods. With real OPM-MEG data we confirmed its validity for real data. These analyses suggest that SORM is especially useful when we want to accurately estimate ROIs' activities with a limited number of OPM sensors, such as brain-machine interfaces and diagnosing brain diseases.

关键词： Optically pumped magnetometer (OPM) Magnetoencephalography (MEG) sensor array Source imaging Resolution matrix

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Facile and selective recognition of sulfonylurea pesticides based on the multienzyme-like activities enhancement of nanozymes combining sensor array

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JOURNAL OF HAZARDOUS MATERIALS 2024年 469卷 133847页

作者： Tian, Tian Song, Donghui Zhang, Ling Huang, Hui Li, Yongxin Jilin Univ Coll Food Sci & Engn Changchun 130025 Peoples R China Jilin Univ Minist Educ Coll New Energy & Environm Key Lab Groundwater Resources & Environm Changchun 130021 Peoples R China Jilin Univ Coll New Energy & Environm Jilin Prov Key Lab Water Resources & Water Environ Changchun 130021 Peoples R China

Traditional identification methods based on cholinesterase inhibition are limited to recognizing organic phosphorus and carbamate esters, and their response to sulfonylurea pesticides is weak. Residual sulfonylurea pesticides can pose a threat to human health. So, it is very important to develop an effective, rapid and portable method for sulfonylurea pesticides detection. Herein, we first found that sulfonylurea pesticides have activityenhancing effects on copper -based nanozymes, and then combined them with the array technology to construct a six -channel sensing array method for selectively identifying sulfonylurea pesticides and detecting total concentration of sulfonylurea pesticides (the limit of detection was 0.03 mu g/mL). This method has good selectivity towards sulfonylurea pesticides. In addition, a smartphone-based colorimetric paper sensor analysis method was developed to achieve the on -site detection of the total concentration of sulfonylurea pesticides. And this array can also be used for individual differentiation (1-100 mu g/mL). Our work not only investigates the specific responses of copper -based nanozymes to sulfonylurea pesticides, but also develops a simple method that contributes to directly detect sulfonylurea pesticides at the source of pollution, providing insights for further research on sulfonylurea pesticides detection and filling the gap in pesticide residue studies.

关键词： Sulfonylurea pesticides sensor array Nanozyme On -site detection Paper -based sensor

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A Simple Method to Manufacture a Force sensor array Based on a Single-Material 3D-Printed Piezoresistive Foam and Metal Coating

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sensorS 2024年第12期24卷 3854页

作者： Humbert, Claude Barriol, Mathis Varsavas, Sakine Deniz Nicolay, Pascal Brandstoetter, Mathias Carinthia Univ Appl Sci CiSMAT Carinthia Inst Smart Mat A-9524 Villach Austria Carinthia Univ Appl Sci ADMiRE Addit Mfg Intelligent Robot & Engn A-9524 Villach Austria

Nowadays, 3D printing is becoming an increasingly common option for the manufacturing of sensors, primarily due to its capacity to produce intricate geometric shapes. However, a significant challenge persists in integrating multiple materials during printing, for various reasons. In this study, we propose a straightforward approach that combines 3D printing with metal coating to create an array of resistive force sensors from a single material. The core concept involves printing a sensing element using a conductive material and subsequently separating it into distinct parts using metal-coated lines connected to the electrical ground. This post-printing separation process involves manual intervention utilizing a stencil and metallic spray. The primary obstacle lies in establishing a sufficient contact surface between the sprayed metal and the structure, to ensure effective isolation among different zones. To address this challenge, we suggest employing a lattice structure to augment the contact surface area. Through experimental validation, we demonstrate the feasibility of fabricating two sensing elements from a single-material 3D-printed structure, with a maximum electrical isolation ratio between the sensors of above 30. These findings hold promise for the development of a new generation of low-tech 3D-printed force/displacement sensor arrays.

关键词： sensor array 3D printing metal coating lattice structure mono-material piezoresistive foam

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Cu2 (OH)3 NO3 nanozyme sensor array for the discrimination of multiple sulfides in food

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BIOsensorS & BIOELECTRONICS 2024年 262卷 116529页

作者： Jing, Wenjie Wang, Yu Shi, Qihao Yang, Yajun Dai, Yujie Liu, Fufeng Tianjin Univ Sci & Technol Tianjin Key Lab Ind Microbiol 29 13th St Tianjin 300457 Peoples R China

In the food industry, sulfides are commonly used as preservatives and flavor regulators. However, long-term excessive intake of sulfides can lead to serious health problems. Therefore, developing efficient sulfide detection methods is particularly important. Here, we have effectively synthesized a novel bifunctional copper hydroxide nitrate (Cu 2 (OH) 3 NO 3 ) nanozyme with outstanding peroxidase-like and laccase-like behaviors in basic deep eutectic solvents (DES). Because the various types of sulfides have diverse regulatory effects on the two catalytic behaviors of Cu 2 (OH) 3 NO 3 , a two channel nanozyme sensor array based on the peroxidase-like and laccase-like behaviors of Cu 2 (OH) 3 NO 3 was constructed and successfully used for the identification of six kinds of sulfides (Na 2 S, Na 2 S 2 O 3 , Na 2 SO 3 , Na 2 SO 4 , NaHSO 3 , and Na 2 S 2 O 8 ). Remarkably, the sensor array has achieved successful discrimination among six sulfides present in wine, egg, and milk samples. Finally, the sensor array has successfully distinguished and differentiated three actual samples (wine, egg, and milk). This study is of great significance in promoting the efficient construction of array units and improving the effective identification of sulfides in complex food samples.

关键词： Nanozyme Deep eutectic solvents sensor array Sulfides Identification

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