Smart luminescent materials have drawn a significant attention owing to their unique optical properties and versatility in sensor applications. These materials, encompassing a broad spectrum of organic, inorganic, and...
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Smart luminescent materials have drawn a significant attention owing to their unique optical properties and versatility in sensor applications. These materials, encompassing a broad spectrum of organic, inorganic, and hybrid systems including quantum dots, organic dyes, and metal-organic frameworks (MOFs), offer tunable emission characteristics that can be engineered at the molecular or nanoscale level to respond to specific stimuli, such as temperature, pH, and chemical presence. This adaptability makes them crucial in developing advanced sensor technologies for environmental monitoring, biomedical diagnostics, and industrial applications with the help of the luminescence mechanisms, such as fluorescence, phosphorescence, and upconversion. Recent advancements have been driven by the integration of nanotechnology, which enhances the sensitivity and selectivity of luminescent materials in sensor platforms. The development of photoluminescent and electrochemiluminescent sensors, for instance, has enabled real-time detection and quantification of target analytes with high accuracy. Additionally, the incorporation of these materials into portable, user-friendly devices, such as smartphone-based sensors, broadens their applicability and accessibility. Despite their potential, challenges remain in optimizing the stability, efficiency, and biocompatibility of these materials under different conditions. This review provides a comprehensive overview of the fundamental principles of smart luminescent materials, discusses recent innovations in their use for sensor applications, and explores future directions aimed at overcoming current limitations and expanding their capabilities in meeting the growing demand for rapid and cost-effective sensing solutions.
Ingestible sensors are pivotal in monitoring the gastrointestinal (GI) tract and enhancing comprehension of complex gastrointestinal processes, propelled by sensor technology advancements. They must ensure robust wire...
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Ingestible sensors are pivotal in monitoring the gastrointestinal (GI) tract and enhancing comprehension of complex gastrointestinal processes, propelled by sensor technology advancements. They must ensure robust wireless communication from deep within the body while maintaining longevity for comprehensive monitoring. Wireless system miniaturization stands as a promising solution to these challenges. This paper introduces the current state and technical challenges ingestible sensors and their solutions for wireless system miniaturization. The key techniques for further miniaturization include the antenna miniaturization, integration of adaptive impedance matching networks, and the replacement of crystal. Additionally, the paper explores future directions for wireless communication systems to support the continued advancement of ingestible sensor technology.
Orthosis-wearing compliance is crucial for achieving positive treatment outcomes in patients with adolescent idiopathic scoliosis (AIS), for whom 23 h of daily wear is typically prescribed. However, self-reported comp...
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Orthosis-wearing compliance is crucial for achieving positive treatment outcomes in patients with adolescent idiopathic scoliosis (AIS), for whom 23 h of daily wear is typically prescribed. However, self-reported compliance is subjective and often based on patients' memory, leading to inaccuracies. While portable electronic devices have been developed to objectively monitor compliance, relying solely on temperature or force data can be insufficient. This study introduced a novel method that integrated both force and temperature data to estimate orthosis-wearing compliance. Twelve patients (eight females and four males) diagnosed with moderate AIS were included. Each patient was prescribed a thoracic-lumbar-sacral orthosis equipped with an integrated force and temperature sensor system. After one month of orthotic treatment, self-reported wear time averaged 17.8 +/- 6.2 h/day, while the sensor indicated an average wear time of 13.3 +/- 5.0 h/day. Most patients overestimated their compliance. Nighttime was the most common period for orthosis wear (6.1 h/day), whereas compliance during school hours (2.8 h/day) and after-school hours (3.7 h/day) was lower. The integration of force and temperature sensors provides a more comprehensive understanding of orthosis compliance. Future studies with larger samples and longer monitoring periods are needed to investigate the correlation between compliance and treatment outcomes.
Increasing concerns about public safety and quality of life have made maintaining optimal air quality, both indoors and outdoors, critically important. Detecting toxic gaseous compounds is vital for a sustainable futu...
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Increasing concerns about public safety and quality of life have made maintaining optimal air quality, both indoors and outdoors, critically important. Detecting toxic gaseous compounds is vital for a sustainable future. With the rise of the Internet of Things (IoT), wearable technologies are becoming integral to daily life, spurring interest in developing highly sensitive, flexible, and stretchable electronic gas sensors. This review highlights the use of advanced nanomaterials such as graphene, metal oxides, carbon nanotubes, and conducting polymers, which enhance sensor performance. It explores the integration of these sensors into wearable textiles and direct body applications, which are crucial for advancing wearable gas sensing technology. The review also examines the progression of wearable substrates, sensing materials, electrodes, and sensor types, addressing key challenges like improving sensitivity, selectivity, stability, and power efficiency. The advancements in these areas lead to discussions on their applications in diverse fields, including environmental monitoring, human health diagnostics, food quality assessment, and public safety monitoring, showcasing the broad potential of wearable gas sensors. The conclusion offers insights and recommendations for the future development of intelligent wearable nanosensors, emphasizing the need to overcome current challenges and continue research to enhance integration, miniaturization, and functionality for societal benefits.
Modern diesel engines are commonly equipped with NOx sensors for precise and efficient selective catalytic reduction (SCR) reductant injection control, but due to the limitations of operating characteristics and envir...
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Modern diesel engines are commonly equipped with NOx sensors for precise and efficient selective catalytic reduction (SCR) reductant injection control, but due to the limitations of operating characteristics and environmental conditions, the output signal of NOx sensors may show abnormalities such as drift, deviation, or even distortion. Therefore, the evaluation and adjustment of the NOx sensor signal is essential to achieve intelligent control of the engine SCR system. In this study, an engine NOx calculation model is designed using deep neural network (DNN) to predict the upstream NOx emission concentration of engine SCR and provide reference values for sensor fault diagnosis, evaluate the sensor fault status by calculating the relative integration error index (IE), and reconstruct the sensor signal using the model prediction signal after the fault is confirmed. In addition, this paper uses the firefly algorithm (FA) to find the appropriate diagnostic threshold (IEthre) and integration period (T) to meet the requirements of diagnosis response speed. Finally, based on the data collected from World Harmonized Transient Cycle (WHTC) bench test of a commercial high-pressure common rail diesel engine, the IEthre = 12.76% and the T = 7.57 s. The root mean square error (RSME) of the NOx concentration signal predicted by the engine NOx calculation model was 37.35 ppm, and the normalized cumulative NOx emission was 98% of the actual signal. The performance of the designed algorithm was tested using the synthesized bias fault and drift fault signals. The sensor signal RSME was reduced from 108.46 to 29.66 ppm for the bias fault, and from 106.92 to 31.30 ppm for the drift fault.
Wearable technologies and flexible electronics have developed rapidly owing to the emergence of cutting-edge cross-disciplines. The flexibility and tunable properties of organic materials enable wearable sensory syste...
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Wearable technologies and flexible electronics have developed rapidly owing to the emergence of cutting-edge cross-disciplines. The flexibility and tunable properties of organic materials enable wearable sensory systems to adapt to complex surface deformations and detect physiological signals sensitively. The demand for high-performance strain sensors, to accurately detect complex movements and environmental changes, in wearable technology has increased notably. However, current sensors primarily detect strain in a single direction, which restricts their effectiveness in detecting multi-directional strains, such as in natural human movements or robotic joints. In this review, we examine the advances and future challenges that may arise in the development of strain sensors that can measure both the magnitude and direction of external tensile strain. Additionally, we examine the sensor materials (platform and sensing materials) required to develop a strain sensor to detect the direction of tension, structural research on strain sensors, and various application fields such as human motion detection and human-machine interaction via system integration. Finally, we discuss the prospects and current challenges involved in the development of direction-selective strain sensors for wearable smart electronic systems or electronic skin. This review should provide a comprehensive reference for future technologies. Strain sensors capable of recognizing the direction of mechanical stimuli are a key contributor to the development of wearable sensory platforms.
One approach to structural health monitoring (SHM) involves embedding sensors within a composite material. However, the integration of these sensors can potentially introduce flaws that might affect the composite'...
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One approach to structural health monitoring (SHM) involves embedding sensors within a composite material. However, the integration of these sensors can potentially introduce flaws that might affect the composite's mechanical properties. This research aims to explore the impact of embedding exfoliated graphite (EG)/epoxy sensors on the mechanical characteristics of composite systems through laboratory experiments and numerical simulations. sensor strips composed of varying volume fractions of EG/epoxy were fabricated. Tensile test specimens were prepared by embedding these sensors in the epoxy matrix oriented both lengthwise and widthwise. Baseline specimens of EG/epoxy without sensors were also created for comparison. Tensile tests were performed on the samples to evaluate the effects of the embedded sensors on the composite's elastic modulus and tensile strength. The results indicated a slight improvement in both elastic modulus and tensile strength with the introduction of EG. Crucially, the orientation of the sensors within the samples had a significant impact on the composite's mechanical properties. Samples with widthwise-aligned sensors showed reduced tensile strength due to delamination along the sensor edges. Finite element simulations using a viscoelastic model based on the experimental data were conducted to analyze the effect of sensor alignment on mechanical properties. The findings revealed that a grid pattern alignment of sensors significantly enhanced mechanical performance compared to lengthwise or widthwise alignment, particularly at 0.1% and 0.3% EG volume fractions, highlighting the effectiveness of a grid pattern for embedding sensors in SHM applications.
The real-time and room-temperature detection of nitrogen dioxide (NO2) holds significant importance for environmental monitoring. However, the performance of NO2 sensors has been hampered by the trade-off between the ...
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The real-time and room-temperature detection of nitrogen dioxide (NO2) holds significant importance for environmental monitoring. However, the performance of NO2 sensors has been hampered by the trade-off between the high sensitivity and stability of conventional sensitive materials. Here, we present a novel fully flexible paper-based gas sensing structure by combining a homogeneous screen-printed titanium carbide (Ti3C2Tx) MXene-based nonmetallic electrode with a MoS2 quantum dots/Ti3C2Tx (MoS2 QDs/Ti3C2Tx) gas-sensing film. These precisely designed gas sensors demonstrate an improved response value (16.3% at 5 ppm) and a low theoretical detection limit of 12.1 ppb toward NO2, which exhibit a remarkable 3.5-fold increase in sensitivity compared to conventional Au interdigital electrodes. The outstanding performance can be attributed to the integration of the quantum confinement effect of MoS2 QDs and the conductivity of Ti3C2Tx, establishing the main active adsorption sites and enhanced charge transport pathways. Furthermore, an end-sealing effect strategy was applied to decorate the defect sites with naturally oxygen-rich tannic acid and conductive polymer, and the formed hydrogen bonding network at the interface effectively mitigated the oxidative degradation of the Ti3C2Tx-based gas sensors. The exceptional stability has been achieved with only a 1.8% decrease in response over 4 weeks. This work highlights the innovative design of high-performance gas sensing materials and homogeneous gas sensor techniques.
This study presents a flexible layered ZnO-polycaprolactone and graphene-polycaprolactone nanocomposite sensor for UV and NO2 gas sensing applications, created by electrospinning to achieve a fibrous high surface area...
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This study presents a flexible layered ZnO-polycaprolactone and graphene-polycaprolactone nanocomposite sensor for UV and NO2 gas sensing applications, created by electrospinning to achieve a fibrous high surface area structure. sensor performance was evaluated by varying ZnO concentration and sensing layer thickness, with 50 % ZnO content in the nanocomposite yielding optimal response to UV. NO2 gas sensing tests demonstrated significant resistivity changes, with Rg/Ra values reaching up to 5.65 and minimal response reduction under elevated humidity. The sensor calculated NO2 detection limit was 0.544 ppm, indicating its suitability for environmental and industrial monitoring, as well as potential integration into flexible electronics and wearable technologies.
This article presents a novel readout circuit for the resistive tactile sensor array. Based on the 2-D scanning mechanism, a crosstalk suppression technique is proposed by combining the correlated double sampling (CDS...
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This article presents a novel readout circuit for the resistive tactile sensor array. Based on the 2-D scanning mechanism, a crosstalk suppression technique is proposed by combining the correlated double sampling (CDS) and zero potential method (ZPM). The output of the same sensor under different bias conditions is captured twice and amplified by a channel-parallel fully differential gain stage, performing analogous subtraction. To achieve nonuniformity compensation, the current injected into the readout channel is adjusted by the channel-parallel digital-to-analog converter (DAC). A successive approximation register (SAR) analog-to-digital converter (ADC) performs quantization, and the chip can be used as a serial peripheral interface (SPI) slave to update register values for gain configuration, power consumption control, and nonuniformity compensation The 180-nm CMOS prototype chip occupies an area of 4.8 mm(2) and consumes 285 mu W. In order to validate the design, a tactile sensing system is built, using the readout circuit along with a 10 x 10 flexible sensor array. With the techniques proposed in this article, the readout error of the sensors in array is less than 0.3.
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