Advanced Science
·
2024
·Vol. 11
·期 41
·2402705
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IF 14.3
Yue Jiang,Lin Fan,Xilong Sun,Zehe Luo,Herong Wang,Rucong Lai,Jie Wang,Qiyang Gan,Ning Li,Jindong Tian
Humans recognize and manipulate objects relying on the multidimensional force features captured by the tactile sense of skin during the manipulation. Since the current sensors integrated in robots cannot support the robots to sense the multiple interaction states between manipulator and objects, achieving human-like perception and analytical capabilities remains a major challenge for service robots. Prompted by the tactile perception involved in robots performing complex tasks, a multimodal tactile sensory system is presented to provide in situ simultaneous sensing for robots when approaching, touching, and manipulating objects. The system comprises a capacitive sensor owning the high sensitivity of 1.11E-2 pF mm −1 , a triboelectricity nanogenerator with the fast response speed of 30 ms, and a pressure sensor array capable of 3D force detection. By Combining transfer learning models, which fuses multimodal tactile information to achieve high-precision (up to 95%) recognition of the multi-featured targets such as random hardness and texture information under random sampling conditions, including random grasp force and velocity. This sensory system is expected to enhance the intelligent recognition and behavior-planning capabilities of autonomous robots when performing complex tasks in undefined surrounding environments.
研究领域:
机器人学
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传感器技术
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人工智能
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DOI
PubMed
高影响因子
Nano Energy
·
2024
·
IF 16.8
Ziyao An,Zhiyi Wu,Yiran Hu,Chengcheng Han,Zhi Cao,Hanlin Zhou,Yongyang Chen
Tactile sensors can provide intuitive information about the shape, size, and texture of objects, which helps robots make more accurate decisions. In this paper, based on the principle of triboelectrification and electrostatic induction, a miniature tactile sensor (MTS) for smart object recognition is designed using composite materials based on silica gel . Its diameter is only 6 mm, and the electrodes are arranged in a circumferential array, which has excellent shape adaptability and can recognize curved materials with curvature of 1/15 mm −1 . By optimizing the sensor structure and process to obtain a microstructure with a spike-like shape, the sensitivity of the sensor is successfully improved, and the smallest and accurately detected surface material side length is 5 mm. In addition, the article provides a smart sensor system that can enhance the recognition function of robots with the help of machine learning technology, and the discrimination accuracy reaches 95.7%, which lays a solid foundation for practical applications.
研究领域:
机器人学
·
材料科学
·
生物医学工程
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产品关联
DOI
高影响因子
ACS Applied Polymer Materials
·
2023
·
IF 5
Wei Zhang,Xiangrui Zhang,Wenhao Zhao,Xingwei Wang
Flexible electronic sensors are attracting more and more attention because of their outstanding flexibility and foldability. Based on this background, a composite hydrogel with excellent flexibility, good stability, and high sensitivity is prepared in this work. This high-performance hydrogel is composed of polyacrylamide, sodium alginate, MXene, and PEDOT:PSS through dynamic supramolecular cross-linking. The electrical conductivity is significantly enhanced by the addition of the conductive polymer PEDOT:PSS and MXene. Hydrogel conductivity increased by 150% with the addition of conductive materials at the same tensile strain. It exhibits high sensitivity (GF = 1.99) and excellent linearity over a wide operating range of 1000% of strain, which ensures the detection performance of the hydrogel sensor under large strain conditions. In addition, it has excellent repeatability (600 cycles) and fast response/recovery times (0.624 s/0.912 s). Due to this excellent performance, it was made into a smart sensor to explore its application in smart electronic skin. The hydrogel sensor and data acquisition module were integrated for real-time monitoring of pressure. We combine it with deep learning algorithms to provide a new solution for human motion recognition, such as joint flexion, facial expression change, health monitoring, and handwriting recognition.
研究领域:
材料科学
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生物医学工程
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电子皮肤
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DOI
高影响因子
FOOD CHEMISTRY
·
2022
·
IF 9.231
Wenyan Shi,Xinming Huo,Xinyue Ding,Peiyuan Zhu,Yutong Wan,Xinqiong Lu,Rui Feng,Quan Yu,Xiaohao Wang
With the expansion of the functional food market, the qualification assessment of these products has become a major challenge, and efficient analytical tools are urgently needed. Here, a miniature mass spectrometer (MS) with self-aspiration capillary electrospray ionization (SACESI) source and ion trap analyzer was developed for rapid screening of various illegally added drugs in functional foods. No chromatographic separation was required, but a simplified two-step pretreatment method was developed to reduce the operational procedures and time consumption of the entire analysis. SACESI source uses capillary action to drive solution injection, which utilizes a simple structure and convenient operation to constitute a kind of disposable MS detection solution. To achieve accurate and automatic identification, an intelligent recognition algorithm with steps of spectrum preprocessing, characteristic peak matching, and support vector machine learning was constructed. The relative accuracy of rapid screening of 31 suspicious drugs in various samples is up to 99.78%. It achieves 100% correct identification for the 55 batches of actual samples captured by on-site inspection, which demonstrates the feasibility of the proposed analytical system and strategy in food safety applications.
研究领域:
食品安全
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分析化学
·
生物医学工程
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DOI
PubMed
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2025
·
IF 4.6
Haoyuan Ma,Lei Jia,Jiaying Li,Lina Zhang,Yongxin Li,Taofeng Zhu,Jun Xu
The hidden allergic reactions and cumulative toxic effects caused by antibiotic residues in aquatic products have become significant public health concerns. Among these, tetracycline antibiotics (TCs) pose considerable ecological risks and health threats due to their high molecular stability and prolonged environmental persistence. To address this challenge, this study developed a guanosine-5-monophosphate (GMP)-Tb/rhodamine B (RhB) multi-proportion ratiometric fluorescence probe array, integrated with computer vision and an intelligent color mapping recognition framework, to construct a comprehensive and intelligent solution for antibiotic identification. Specifically, the “You Only Look Once” version 5 s (YOLOv5s) model was utilized to automatically detect the reaction areas on the 96-well plate and extract RGB feature data. These features were then analyzed using k-Nearest Neighbor(KNN), support vector machines (SVM), and random forest(RF) classifiers for multi-dimensional modeling. Finally, the optimized model was integrated into a web application built using the Flask framework. Experimental results demonstrated that the system achieved an overall recognition accuracy of 94.4 % for TC, OTC, and CTC antibiotics within a concentration range of 0–50 μM; notably, the optimal KNN classifier achieved an F1-score of 1.00 on the validation set. This study successfully established a three-in-one analytical paradigm that integrates chemical sensing, image recognition, and intelligent decision-making, thereby providing an expandable technical platform for the rapid screening of environmental pollutants.
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DOI
PubMed
高影响因子
Biomass Conversion and Biorefinery
·
2023
·
IF 4
Si Lin,Hou Juying,Lv Wei,Hou Qin,Xu Zhixiang,Ai Shiyun
In this paper, lignocellulose components were separated under mild conditions to achieve hierarchical utilization of biomass. Cellulose was retained in cellulose pulp with highly crystalline structure, and lignin powder was recovered, which offered a possibility for the high-value utilization of lignocellulosic biomass. The extracted lignin (EL) was carbonized and activated to prepare lignin-based porous carbon microspheres (LPCMs) and further used as a substrate to interact with fluorescein-5-isothiocyanate (5-FITC) for the detection of biogenic amines (BAs). The fluorescence of 5-FITC was found to be quenched in the presence of LPCMs. And then, upon addition of BAs, 5-FITC was released from the surface of LPCMs, which resulted in the fluorescence recovery of 5-FITC. Thus, a novel “turn off–on” fluorescent probe was constructed for sensitive and visual detection of BAs. Meanwhile, the retained cellulose skeleton structure was used to prepare a smart identification label for real-time and visual evaluation of the freshness of pork and shrimp. This work realized the improvement of comprehensive utilization rate of lignocellulose and developed a rapid, efficient, and sustainable method which combined natural lignocellulose materials with green analytical technology for visually evaluating food quality.
研究领域:
材料科学
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食品科学
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分析化学
·
生物技术
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产品关联
DOI
高影响因子
危险品化学品经营许可证（带存储）