In a complex Forster resonance energy transfer (FRET) system, it is necessary to monitor the composition change, chemical structural construction or intermolecular interactions. The fluorescence detecting method is no...
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In a complex Forster resonance energy transfer (FRET) system, it is necessary to monitor the composition change, chemical structural construction or intermolecular interactions. The fluorescence detecting method is not sufficient to supply such information. In this paper, a dual-mode fiber sensor for monitoring in FRET system is proposed. SERS and fluorescence detection can be realized with only one fiber probe. The sensor was designed on separated regions for each mode detections. The sensing capacities was tested, the lowest LOD was calculated to be 1.38 x 10-14 M in SERS detections. A FRET system was simulated with Rhodamine 6G (R6G) and Rhodamine B (RhB). There are FRET, spectra overlap, and competition on substrate between the two dyes, which makes the mixture a typical and complex FRET system. With the proposed sensor, the fluorescence intensity change was monitored, at the same time, a small portion of R6G (1/500 in high concentration and 1/105 in low concentration) in the mixture be recognized with SERS detection. We further detected the illegal addition of Rhodamine in commercially available 100 % orange juice. Even when fluorescence could not detect it, R6G could still be effectively detected by SERS method at a concentration of 10-10 M. By the help of this dual-mode sensing device, the process of chemical reaction in FRET system could be monitored, and more widely applications of FRET technique could be realized.
To automate the wiping task using robots, it is crucial to endow the robot with the capability to maintain desired contact with target surfaces. However, challenges arise when geometric priors and visual feedback are ...
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ISBN:
(纸本)9798350364200;9798350364194
To automate the wiping task using robots, it is crucial to endow the robot with the capability to maintain desired contact with target surfaces. However, challenges arise when geometric priors and visual feedback are not available or when detailed object information is needed. In this paper, a tactile-guided hybrid pose/force control scheme based on gain-scheduling proportional-integral-derivative (PID) is proposed to address these challenges. Leveraging a tactile sensor, three features are extracted from the tactile data and used in the control loop. The control scheme regulates the contact normal force on unknown surfaces with slowly changing curvature while following a trajectory on the surface. It also allows real-time adaptation of the desired contact force to varying surface conditions. The performance of the proposed scheme is evaluated on a robot manipulator equipped with a tactile sensor. Experimental results show that the proposed system can identify stains, guide itself to re-clean areas, and successfully accomplish the wiping task.
As one of the cleanest energy sources in the 21st century, the development of hydrogen energy has attracted the attention of all countries in the world, so the monitoring of hydrogen leakage has become a current resea...
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ISBN:
(纸本)9781510657090;9781510657083
As one of the cleanest energy sources in the 21st century, the development of hydrogen energy has attracted the attention of all countries in the world, so the monitoring of hydrogen leakage has become a current research focus. This study demonstrates a novel hydrogen sensor that combines a planar polymer grating with a Pd/Ni hydrogen-sensitive material that takes advantage of the hydrogen-absorbing expansion properties of Pd to cause the central wavelength drift of Planar Polymer Bragg Grating (PPBG) by strain transformation. The experimental results show when the hydrogen concentration is 0.3%, 0.6% and 1%, the wavelength shift of the sensor is 50 pm, 85 pm and 110 pm respectively, and the response time is approximately 30 seconds. This hydrogen sensor has the advantages of high sensitivity, low cost and compact structure, leading to great potential in industrial applications.
In modern days, with the fastest growing technology trends, the benefits of Wireless sensor Networks (WSNs) are also increasing rapidly. In these networks, very small-sized wireless sensor nodes are used widely which ...
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A fiber optic Mach-Zehnder interferometer (MZI) sensor with sensitivity to strain, magnetic field, and bending was designed by splicing single-mode fiber (SMF) and dispersion compensation fiber (DCF). MZI is a sandwic...
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Wearable biosensing systems for monitoring daily human activities have been extensively investigated by researchers of human-machine interactions. However, the transmission of biomechanical signals is degraded owing t...
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Wearable biosensing systems for monitoring daily human activities have been extensively investigated by researchers of human-machine interactions. However, the transmission of biomechanical signals is degraded owing to limitations arising from the non-ideal characteristics of hardware, which obstructs the precise recognition of human motions by sensing systems and practical applications. In this study, we demonstrates, for the first time, 3D successive nanoscale interaction-driven artificial slow-adapting (SA) mechanoreceptors to develop a biosensing system integrated with sensing, learning, and computational functionalities for efficient sign-language detection and translation. Specifically, nanocellular graphene (GN) with a high conductivity of 1.26 x 104 S m-1 is constructed via submicron porous template-assisted synthesis. More importantly, by leveraging unique conductive networks driven by 3D successive nanoscale interactions of artificial SA mechanoreceptors, co-optimization of the sensitivity (gauge factor = 242) and linear operating range is achieved, unlike the case of foam GN sensors. An artificial biosensing system (ABSS) based on sensing arrays operating via machine-learning algorithms achieves real-time gesture detection and recognition with 98.8% recognition accuracy. This 3D successive nanoscale template-assisted design strategy may provide a new path toward high-performance ABSS fabrication, thus enabling potential applications in fields such as human-computer interaction, virtual reality, and healthcare.
Smart sensors and medical health technologies are becoming increasingly popular due to their potential for real-time, noninvasive health monitoring and diagnostics. With the integration of Artificial Intelligence (AI)...
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This paper outlines the design of a focused plane-wave illumination bench for studying the electromagnetic susceptibility of electronic systems. The bench consists of a horn antenna and a dielectric lens used to focus...
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The electrochemical synthesis of polypyrrole (PPy) on laser-induced graphene (LIG) electrodes is investigated in this study, along with the gas-sensing applications of these modified laser-tailored materials. A simple...
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The electrochemical synthesis of polypyrrole (PPy) on laser-induced graphene (LIG) electrodes is investigated in this study, along with the gas-sensing applications of these modified laser-tailored materials. A simple and scalable method for the low-cost, large-scale production of PPy@LIG nanocomposites (PPy@LIG NCs) is proposed. This nanocomposite is subsequently applied to design chemoresistive flexible gas sensors to detect ammonia (NH3) levels at room temperature. Following a brief gas exposure, PPy@LIG NCs sensors demonstrate changes in resistance with a sensitivity 14 times higher than that of pure LIG. Moreover, excellent repeatability in results and a low detection limit of 1 ppm were achieved. The LIG formation and electrochemical synthesis of PPy were confirmed through Raman spectroscopy and Fourier-transform infrared (FTIR) spectroscopy. The analysis by field emission scanning electron microscope (FE-SEM) and transmission electron microscopy (TEM) verified the formation of PPy@LIG NCs. In conclusion, this work introduces the novel PPy@LIG NCs and its application in gas sensing, showcasing their unique selectivity, enhanced sensitivity, and cost-effective production. These attributes mark a significant step forward, presenting new possibilities for the development of advanced gas-sensing systems aimed at improving air quality monitoring.
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