Sensors International最新文献_第2页

A novel system to record pulses, thrills, and bruit sounds generated by arteriovenous fistulas 一种记录动静脉瘘产生的脉冲、震颤和声音的新系统

Sensors International

Pub Date : 2025-10-31 DOI: 10.1016/j.sintl.2025.100356

Jessica Centracchio , Eliana Cinotti , Salvatore Parlato , Paolo Bifulco , Pasquale Zamboli , Rosalba Liguori , Giuseppe Longo , Massimo Punzi , Annalisa Liccardo , Francesco Bonavolontà , Giovanna Capolongo , Emilio Andreozzi

Arteriovenous fistulas (AVFs) are the preferred vascular accesses for hemodialysis and are made by anastomosing an artery and a vein. The arterial blood flowing into the anastomosed vein results in abnormal infrasonic and audible vibrations of venous walls, which produce tactile and audible sensations known as thrill and bruit sounds. Physical examination of AVFs is instrumental for early detection of stenoses, but it is operator-dependent. Several measurement systems have been proposed for quantitative analysis of bruit sounds, and only a few focused on thrill. However, none of these has demonstrated that the signals acquired correspond to the thrill and bruit sounds perceived by physicians.

This study presents, for the first time in literature, a novel AVF monitoring system that simultaneously records sphygmic pulses, thrills, and bruit sounds signals, also demonstrating that they share the same behaviors of tactile and audible sensations perceived by physicians. The proposed system is based on a small, non-invasive force sensor that captures both infrasonic and audible vibrations, and an ad hoc signal processing that accurately separates sphygmic pulses from thrills and bruit sounds. Experimental tests were carried out on 18 patients to assess two common behaviors observed during medical routine examinations. In particular, recordings were acquired on 3 measurement sites along the anastomosed vein, to verify the progressive amplitude reduction of thrill and bruit sounds from the anastomosis, and also their brisk amplitude reduction during vein occlusion tests. One-tailed Wilcoxon rank sum tests confirmed the expected amplitude reductions in both tests (p < 0.00001). In conclusion, the proposed AVF monitoring system accurately captures all vibrations produced by AVFs, which could be used to quantitatively evaluate the health status of patients and improve their surveillance.

动静脉瘘（AVFs）是血液透析首选的血管通道，由动脉和静脉吻合而成。流入吻合静脉的动脉血导致静脉壁产生异常的次声和可听振动，从而产生触觉和听觉感觉，即震颤声和杂音。avf的体格检查有助于早期发现狭窄，但这取决于操作者。已经提出了几种测量系统来定量分析物体的声音，但只有少数关注于刺激。然而，这些都没有证明所获得的信号与医生所感知到的兴奋和声音相对应。这项研究首次在文献中提出了一种新颖的AVF监测系统，该系统可以同时记录血压计、震颤和声音信号，并证明它们具有医生感知到的触觉和听觉的相同行为。该系统基于一个小型的、非侵入性的力传感器，可以捕获次声和可听振动，以及一个特殊的信号处理，可以准确地将脉搏从震颤和杂音中分离出来。对18例患者进行了实验测试，以评估医学常规检查中观察到的两种常见行为。特别地，我们在吻合静脉的3个测量点进行了记录，以验证吻合处的震颤音和bruit音的幅度逐渐降低，以及在静脉闭塞试验中它们的幅度急剧降低。单尾Wilcoxon秩和检验证实了两项检验的预期幅度降低（p < 0.00001）。综上所述，所提出的动静脉f监测系统能够准确捕获动静脉f产生的所有振动，可用于定量评估患者的健康状况，提高对患者的监测水平。

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引用次数: 0

A review on recent developments in materials and methodologies for metal oxide semiconductor liquefied petroleum gas sensors operating at room temperature 综述了室温下金属氧化物半导体液化气传感器材料和方法的最新进展

Sensors International

Pub Date : 2025-10-18 DOI: 10.1016/j.sintl.2025.100354

B.V. Sreenivasappa , A.R. Shashikala

In this paper, a review on recent developments in materials and methodologies for metal oxide semiconductor liquefied petroleum gas sensors operating at room temperature is presented. The goal of this review is to identify various types of gas sensors, LPG sensing materials, preparation and fabrication methods, characterization to study on the properties of the materials and analysis on parameters at room temperature. The review also investigates advanced hybrid nanostructured materials, elemental modifications and doping processes to improve LPG sensor performance. Surface reactivity of the sensing material could be accelerated by the use of appropriate catalyst. The morphology of a material can be improved by various methods, including changing the synthesis conditions, adding additives to alter the material properties and functionality by modifying its size, shape, and structure at the nanoscale. This review also emphasizes the role of suitable dopants in changing bandgap of the materials.

本文综述了室温下工作的金属氧化物半导体液化气传感器材料和方法的最新进展。本文综述了各种类型的气体传感器、液化石油气传感材料、制备和制造方法、表征、材料性能研究和室温参数分析。该综述还研究了先进的混合纳米结构材料、元素修饰和掺杂工艺，以提高LPG传感器的性能。使用合适的催化剂可以加速传感材料的表面反应性。材料的形态可以通过各种方法来改善，包括改变合成条件，添加添加剂来改变材料的性质和功能，通过在纳米尺度上改变其尺寸，形状和结构。本文还强调了合适的掺杂剂在改变材料带隙中的作用。

引用次数: 0

Development of a standalone software application for the simulation and optimization of surface plasmon resonance-based biosensors 开发用于模拟和优化基于表面等离子体共振的生物传感器的独立软件应用程序

Sensors International

Pub Date : 2025-10-16 DOI: 10.1016/j.sintl.2025.100352

Innocent Kadaleka Phiri , Mohssin Zekriti , Tijani Bounahmidi

Surface Plasmon Resonance (SPR) has emerged as a powerful biosensing technique, enabling real-time, label-free detection of target biomolecules with high sensitivity. However, the design and optimization of SPR-based biosensors remain challenging, requiring both theoretical expertise and access to specialized simulation tools. The growing demand for these biosensors highlights the need for advanced features and capabilities, such as automated computation of key biosensing metrics, user interactivity, real-time visualization, and dataset generation for machine learning applications. These capabilities are often lacking or scattered across different existing simulation platforms. To address this gap, we developed ‘SPR-Soft’, a new, standalone, PC-based software application for SPR biosensor simulation and optimization. Based on the Transfer Matrix Method (TMM), SPR-Soft features a user-friendly graphical interface that allows real-time input adjustments, live visualization of reflectivity/transmissivity curves, and automated computation of key performance metrics including sensitivity, Full Width at Half Maximum (FWHM), Detection Accuracy (DA), Figure of Merit (FoM), minimum reflectivity (R_min), and Field Enhancement (FE). Additionally, the software includes a dataset generation module to support machine learning-based applications in biosensor design. SPR-Soft's accuracy was validated through comparison with published simulation data and benchmarked against existing tools. A case study is also presented, demonstrating the software's capabilities by optimizing a gold-silver alloy-based SPR biosensor, achieving enhanced performance: sensitivity of 342°/RIU, FoM of 53.12/RIU, and R_min of 0.017 a.u. This development addresses long-standing limitations in biosensor modelling tools, improves research efficiency, enhances accessibility for non-expert users, and ultimately, supports the United Nations Sustainable Development Goals (SDGs #3 and #9).

表面等离子体共振（SPR）已经成为一种强大的生物传感技术，能够实时、无标记地检测目标生物分子，具有很高的灵敏度。然而，基于spr的生物传感器的设计和优化仍然具有挑战性，既需要理论知识，也需要专业的模拟工具。对这些生物传感器不断增长的需求凸显了对先进特性和功能的需求，例如关键生物传感指标的自动计算、用户交互性、实时可视化和机器学习应用的数据集生成。这些功能通常缺乏或分散在不同的现有仿真平台上。为了解决这一差距，我们开发了“SPR- soft”，这是一种新的，独立的，基于pc的软件应用程序，用于SPR生物传感器模拟和优化。基于传递矩阵法（TMM）， SPR-Soft具有用户友好的图形界面，允许实时输入调整，反射率/透射率曲线的实时可视化，以及关键性能指标的自动计算，包括灵敏度，半最大全宽度（FWHM），检测精度（DA），优异值（FoM），最小反射率（Rmin）和场增强（FE）。此外，该软件还包括一个数据集生成模块，以支持生物传感器设计中基于机器学习的应用。通过与已发布的仿真数据进行比较，并与现有工具进行基准测试，验证了SPR-Soft的准确性。本文还介绍了一个案例研究，通过优化基于金银合金的SPR生物传感器，展示了该软件的功能，实现了更高的性能：灵敏度为342°/RIU， FoM为53.12/RIU， Rmin为0.017 a.u。该开发解决了生物传感器建模工具长期存在的局限性，提高了研究效率，增强了非专业用户的可访问性，并最终支持了联合国可持续发展目标（SDGs #3和#9）。

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引用次数: 0

Design and implementation of a microwave microstrip sensor with convolutional neural network for real-time milk spoilage detection 基于卷积神经网络的微波微带传感器的设计与实现

Sensors International

Pub Date : 2025-10-16 DOI: 10.1016/j.sintl.2025.100353

Ali Khoshchehre , Mohammad Amir Sattari , Umer Hameed Shah , Gholam Hossein Roshani

Milk spoilage detection plays a pivotal role in safeguarding food safety and minimizing waste within the dairy sector, although conventional chemical assays remain labor-intensive, invasive, and expensive. The present investigation introduces a non-invasive microwave microstrip sensor coupled with a convolutional neural network (CNN) for real-time assessment of milk spoilage progression. The sensor, modeled and optimized using Advanced Design System (ADS) software to exhibit dual passbands (1807–2466 MHz and 3604–4426 MHz), was fabricated on an RT/Duroid 4003 substrate and evaluated using 10 commercial milk samples (3 % fat) procured sequentially over 10 days and maintained at 21 °C. Measurements of the S21 transmission parameter (101 frequency points per spectrum, with five replicates per sample yielding 50 spectra in total) demonstrated a substantial amplitude disparity, notably at 2166 MHz, where the difference between the freshest (day 10) and most spoiled (day 1) samples attained 7.02 dB—equivalent to approximately 105 times the mean standard deviation (0.067 dB)—facilitating robust differentiation of dielectric alterations attributable to microbial degradation. A one-dimensional CNN was trained on preprocessed spectral data augmented fivefold with white Gaussian noise using five variable standard deviations (σ = 0.20–0.60 dB) to simulate real-world measurement fluctuations, expanding the dataset from 50 to 250 spectra and attaining a training accuracy of 95.5 % and a validation accuracy of 90 %. This hybrid methodology surpasses traditional approaches in terms of rapidity and non-destructiveness, providing a viable framework for milk quality surveillance with applicability to other perishable commodities.

尽管传统的化学检测仍然是劳动密集型、侵入性和昂贵的，但牛奶腐败检测在保障食品安全和最大限度地减少乳制品行业的浪费方面发挥着关键作用。本研究介绍了一种非侵入性微波微带传感器与卷积神经网络（CNN）相结合，用于实时评估牛奶变质过程。该传感器使用Advanced Design System （ADS）软件建模和优化，具有双通带（1807-2466 MHz和3604-4426 MHz），在RT/Duroid 4003衬底上制造，并使用10个商业牛奶样品（3%脂肪）进行评估，这些样品在10天内连续获得，并保持在21°C。S21传输参数的测量（每个频谱101个频率点，每个样品5次重复，总共产生50个光谱）显示了巨大的幅度差异，特别是在2166 MHz，其中最新鲜（第10天）和最变质（第1天）样品之间的差异达到7.02 dB -相当于平均标准偏差（0.067 dB）的105倍-促进了可由微生物降解引起的介电变化的强大区分。利用5个变量标准差（σ = 0.20-0.60 dB）加5倍高斯白噪声的预处理光谱数据对一维CNN进行训练，模拟实际测量波动，将数据集从50个光谱扩展到250个光谱，训练精度达到95.5%，验证精度达到90%。这种混合方法在快速和非破坏性方面超越了传统方法，为牛奶质量监测提供了一个可行的框架，适用于其他易腐商品。

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引用次数: 0

Multimetallic graphene-coated THz metasurface biosensor for high-sensitivity hCG detection in pregnancy testing: A simulation study 多金属石墨烯涂层太赫兹超表面生物传感器用于妊娠试验中hCG的高灵敏度检测：模拟研究

Sensors International

Pub Date : 2025-09-11 DOI: 10.1016/j.sintl.2025.100351

K. Vijayakumar , S. Subha , N.K. Anushkannan , Kumaravel Kaliaperumal , U. Arun Kumar

Conventional pregnancy testing methods face significant limitations including low sensitivity, cross-reactivity issues, and requirement for sophisticated laboratory equipment, particularly in resource-limited settings. This research introduces an innovative terahertz (THz) biosensor using a graphene-metallic hybrid metasurface architecture to improve pregnancy detection by optical sensing of human chorionic gonadotropin (hCG) indicators. The sensor demonstrates remarkable performance with a maximum sensitivity of 1000 GHz/RIU achieved at the optimal resonant frequency of 0.309 THz within the 0.1–0.55 THz frequency band, corresponding to a refractive index of 1.343 RIU. The frequency-dependent sensitivity analysis reveals that the maximum sensitivity of 1000 GHz/RIU is achieved at 0.309 THz, where the electromagnetic field enhancement reaches its peak value. This optimal operating point corresponds to the fundamental resonance mode of the hybrid metasurface structure, where the coupling between the central graphene resonator and the surrounding metallic rings creates the strongest field localization. The sensitivity decreases progressively at frequencies away from this resonant peak, with values of 500 GHz/RIU at 0.310 THz and 200 GHz/RIU at 0.311 THz, demonstrating the critical importance of precise frequency tuning for optimal sensor performance. Comparative analysis shows competitive or superior performance against existing biosensor designs, offering significant potential for point-of-care pregnancy testing applications with enhanced sensitivity, real-time detection capability, and reduced sample preparation requirements.

传统的妊娠检测方法面临着显著的局限性，包括低灵敏度、交叉反应性问题，以及对复杂实验室设备的要求，特别是在资源有限的情况下。本研究介绍了一种创新的太赫兹（THz）生物传感器，该传感器采用石墨烯-金属混合超表面结构，通过光学传感人类绒毛膜促性腺激素（hCG）指标来改进妊娠检测。在0.1-0.55 THz频段内，在0.309 THz的最佳谐振频率下，传感器的最大灵敏度达到1000 GHz/RIU，对应的折射率为1.343 RIU。频率相关的灵敏度分析表明，在0.309太赫兹时达到1000 GHz/RIU的最大灵敏度，此时电磁场增强达到峰值。这个最佳工作点对应于混合超表面结构的基本共振模式，其中中心石墨烯谐振器与周围金属环之间的耦合产生最强的场局域化。在远离该谐振峰的频率处，灵敏度逐渐降低，在0.310太赫兹处灵敏度为500 GHz/RIU，在0.311太赫兹处灵敏度为200 GHz/RIU，这表明精确的频率调谐对于优化传感器性能至关重要。对比分析显示，与现有的生物传感器设计相比，具有竞争力或优越的性能，具有更高的灵敏度、实时检测能力和更低的样品制备要求，为即时妊娠检测应用提供了巨大的潜力。

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引用次数: 0

High-sensitivity terahertz metasensor for cervical cancer Diagnosis: Graphene modulation and XGBoost-Assisted optimization 用于宫颈癌诊断的高灵敏度太赫兹元传感器：石墨烯调制和xgboost辅助优化

Sensors International

Pub Date : 2025-08-17 DOI: 10.1016/j.sintl.2025.100350

Vaijayanthimala J , Vaishnavi K , Arun Kumar U , Dhivya R

Cervical cancer remains a major cause of mortality, particularly in low-resource settings where traditional cytology-based screening faces challenges such as limited infrastructure and trained personnel. To address this, we present a terahertz (THz) graphene-enhanced metasurface biosensor enabling rapid, label-free detection of cervical cancer biomarkers without complex sample preparation or expensive labs. Using finite element method (FEM) simulations, we demonstrate that tuning graphene's chemical potential from 0.1 to 0.9 eV significantly modulates peak absorption from 0.223 to 1.316, providing a wide dynamic range for sensitive detection across varying sample concentrations. The sensor exhibits robust angular stability, with absorption increasing from 0.546 to 1.306 as the incident light angle shifts from 0° to 80°, ensuring reliable performance without precise optical alignment. Refractive index sensing experiments reveal frequency shifts of 50 GHz and consistently high absorption (55.16 %–56.54 %), achieving a sensitivity of 300 GHz per refractive index unit (RIU) and a figure of merit of 12 RIU⁻¹. To enhance diagnostic accuracy, we integrated an XGBoost machine learning algorithm that analyzes the complex spectral data, achieving 86 % prediction accuracy with low error rates. This combination of advanced sensing and AI-assisted analysis offers a promising, cost-effective solution for cervical cancer screening in resource-limited environments.

宫颈癌仍然是导致死亡的一个主要原因，特别是在资源匮乏的环境中，传统的基于细胞学的筛查面临着基础设施和训练有素的人员有限等挑战。为了解决这个问题，我们提出了一种太赫兹（THz）石墨烯增强的超表面生物传感器，可以快速、无标记地检测宫颈癌生物标志物，而无需复杂的样品制备或昂贵的实验室。利用有限元方法（FEM）模拟，我们证明了将石墨烯的化学势从0.1至0.9 eV调节到0.223至1.316的峰值吸收，为不同样品浓度的敏感检测提供了广泛的动态范围。该传感器具有强大的角稳定性，当入射光角从0°变化到80°时，吸收从0.546增加到1.306，确保了可靠的性能，无需精确的光学对准。折射率传感实验显示频率漂移50 GHz，持续高吸收（55.16% - 56.54%），每个折射率单位（RIU）的灵敏度为300 GHz，品质系数为12 RIU−1。为了提高诊断的准确性，我们集成了一个XGBoost机器学习算法来分析复杂的光谱数据，实现了86%的预测准确率和低错误率。这种先进传感和人工智能辅助分析的结合为资源有限环境中的宫颈癌筛查提供了一种有前景的、具有成本效益的解决方案。

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引用次数: 0

A novel DHP-NH2 fluorescent dye for the determination of water content in organic solvents, rice, and aspirin: DFT calculations 一种新型DHP-NH2荧光染料，用于测定有机溶剂、大米和阿司匹林中的水分含量：DFT计算

Sensors International

Pub Date : 2025-08-09 DOI: 10.1016/j.sintl.2025.100349

Kittiporn Nakprasit , Panyakorn Taweechat , Pornthep Sompornpisut , Mongkol Sukwattanasinitt , Waroton Paisuwan , Anawat Ajavakom

A novel aminodihydropyridine derivative (DHP-NH₂) was synthesized from hydrazine via a tandem cyclotrimerization of methyl propiolate. DHP-NH₂ distinguishably exhibited either strong fluorescence in aprotic solvents or weak fluorescence in protic solvents. Its fluorescence quenching in THF and MeCN was quantitatively determined in the presence of water content, demonstrating the limit of detection (LOD) of 0.036 %wt and 0.014 %wt in THF and MeCN, respectively. The critical hydrogen-bonding interactions between water molecules and the amino group of DHP-NH₂ were found to stabilize its excited state, supporting a quenching mechanism as confirmed by DFT/TDDFT calculations. To apply this DHP-NH₂ probe for on-site analysis, smartphone-based photography together with the ImageJ program was employed for the moisture detection with the LOD of 0.28 %wt in MeCN. Moreover, the trace amount of moisture in organic solvents and solid samples (rice and aspirin) was successfully detected by using this developed method. In addition, we successfully immobilized the DHP derivative onto the cellulose paper to be used as a portable test strip for determining water content in MeCN by naked-eye detection.

以丙酸甲酯为原料，通过串联环三聚化反应合成了一种新的氨基二氢吡啶衍生物（DHP-NH2）。DHP-NH2在非质子溶剂中表现出强荧光，在质子溶剂中表现出弱荧光。在有水存在的情况下，定量测定了其在THF和MeCN中的荧光猝灭，其在THF和MeCN中的检出限（LOD）分别为0.036% wt和0.014% wt。发现水分子与DHP-NH2氨基之间的临界氢键相互作用稳定了其激发态，支持DFT/TDDFT计算证实的猝灭机制。为了将该DHP-NH2探针应用于现场分析，采用智能手机摄影结合ImageJ程序对men中的水分进行检测，LOD为0.28% wt。此外，该方法还成功地检测了有机溶剂和固体样品（大米和阿司匹林）中的微量水分。此外，我们成功地将DHP衍生物固定在纤维素纸上，作为裸眼检测MeCN含水量的便携式试纸条。

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引用次数: 0

Review of surface acoustic wave-based gas sensors 基于表面声波的气体传感器研究进展

Sensors International

Pub Date : 2025-07-23 DOI: 10.1016/j.sintl.2025.100348

Qiming Yang , Baile Cui , Jing Jin , Lina Cheng , Xufeng Xue , Yining Yin , Wen Wang

Surface acoustic wave (SAW) gas-based sensors have attracted significant attention as an emerging sensing technology due to their unique micro/nano-scale acoustic sensing structures and multi-physical field coupling mechanisms, which feature high sensitivity, rapid response, wide detection range, and lightweight. This paper systematically reviews the SAW gas sensing effect and mechanisms, sensing device design and fabrication, signal acquisition and processing circuits. Potential applications in fields such as renewable energy, aerospace, defense, industrial control, and intelligent manufacturing are also discussed, followed by an outlook on future development trends.

表面声波（SAW）气体传感器作为一种新兴的传感技术，由于其独特的微纳米尺度声传感结构和多物理场耦合机制，具有灵敏度高、响应速度快、探测范围宽、重量轻等特点而备受关注。本文系统地综述了声表面波气体传感的作用和机理、传感装置的设计与制造、信号采集与处理电路。讨论了该技术在可再生能源、航空航天、国防、工业控制、智能制造等领域的潜在应用，并对未来发展趋势进行了展望。

引用次数: 0

Zinc oxide-nickel oxide-copper oxide mixed nanocomposite thin films for ammonia gas sensor applications 用于氨气体传感器的氧化锌-氧化镍-氧化铜混合纳米复合薄膜

Sensors International

Pub Date : 2025-07-01 DOI: 10.1016/j.sintl.2025.100346

Sameena Begum , P. Nagaraju , S. Sarika Yadav , M. Swathi

Mixed metal oxides are emerging materials in the gas-sensing industry because of their superior gas-sensing characteristics. ZnO-based ternary mixed-metal oxide nanocomposites were sprayed on glass substrates using the spray pyrolysis method with optimized deposition conditions by changing NiO and CuO molar concentrations. Microstructural, topographical, and chemical studies of synthesised thin films were conducted using XRD, Raman spectroscopy, TEM, FESEM, and XPS, respectively. The XRD studies showed that ZnO is hexagonal, NiO particles are cubic, and CuO has monoclinic structures. Using the Scherrer formula, the crystallite sizes of the nanocomposites were calculated and found to be in the range of 8 nm–10 nm. FESEM results indicate that the synthesised films show a uniform distribution of particles with a good porous nature. Raman spectroscopy and TEM results agree with the studies of XRD. XPS analysis also confirms the formation of ZnO-NiO-CuO composites. Using a static method, gas sensing studies were conducted towards different ammonia concentrations, starting from 5 ppm to 20 ppm, at room temperature. A ternary composite sprayed with a molar concentration of 50 wt% ZnO – 30 wt% NiO- 20 wt% CuO showed superior gas sensing properties compared to other samples with response and recovery times of 59 s and 66 s, respectively, towards 5 ppm of ammonia at room temperature due to uniformly distributed spherical nanoparticles with a highly porous and rough surface made it strong interparticle interactions, making it ideal for ammonia sensing applications.

混合金属氧化物因其优越的气敏特性而成为气敏行业的新兴材料。采用喷雾热解法，通过改变NiO和CuO的摩尔浓度，优化沉积条件，制备了zno基三元混合金属氧化物纳米复合材料。利用XRD、拉曼光谱、TEM、FESEM和XPS对合成薄膜进行了微观结构、形貌和化学研究。XRD研究表明，ZnO为六方结构，NiO为立方结构，CuO为单斜结构。利用Scherrer公式计算了纳米复合材料的晶粒尺寸，发现晶粒尺寸在8 nm ~ 10 nm之间。FESEM结果表明，合成膜颗粒分布均匀，具有良好的多孔性。拉曼光谱和透射电镜的结果与XRD的研究结果一致。XPS分析也证实了ZnO-NiO-CuO复合材料的形成。使用静态方法，在室温下对不同的氨浓度（从5ppm到20ppm）进行了气敏研究。在室温条件下，以摩尔浓度为50 wt% ZnO - 30 wt% NiO- 20 wt% CuO喷涂的三元复合材料对5 ppm氨气的响应时间和恢复时间分别为59 s和66 s，这是由于均匀分布的球形纳米颗粒具有高度多孔性和粗糙的表面，使其具有强的颗粒间相互作用，使其成为理想的氨气传感应用。

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引用次数: 0

Wearable sensors in Industry 4.0: Preventing work-related musculoskeletal disorders 工业4.0中的可穿戴传感器：预防与工作相关的肌肉骨骼疾病

Sensors International

Pub Date : 2025-06-27 DOI: 10.1016/j.sintl.2025.100343

Morteza Jalali Alenjareghi, Firdaous Sekkay, Camelia Dadouchi, Samira Keivanpour

Work-related musculoskeletal disorders (WMSDs) are a global health and economic challenge, particularly in industrialized nations, accounting for up to 2 % of GDP losses due to disability and productivity reduction. Wearable sensors, driven by Industry 4.0 advancements, offer transformative potential for real-time ergonomic assessment and injury prevention. This systematic review analyzes 40 peer-reviewed studies (2013–2024) to evaluate the application of inertial measurement units (IMUs), electromyography (EMG) sensors, and pressure sensors in mitigating WMSD risks. Findings demonstrate that wearable technologies enhance workplace safety through real-time feedback, reducing ergonomic risks and improving productivity. Despite promising advancements, challenges such as scalability, user comfort, and data privacy persist. This review emphasizes the need for standardized protocols, ethical frameworks, and deeper integration with machine learning to optimize sensor accuracy and usability. Future research directions include advancing AI-driven predictive ergonomics, addressing privacy concerns, and improving sensor design for widespread industrial adoption. This study provides actionable insights to bridge the gap between academic research and practical deployment in diverse industrial settings.

与工作有关的肌肉骨骼疾病（WMSDs）是全球健康和经济挑战，特别是在工业化国家，由于残疾和生产力下降造成的GDP损失高达2%。在工业4.0的推动下，可穿戴传感器为实时人体工程学评估和伤害预防提供了革命性的潜力。本系统综述分析了40项同行评议的研究（2013-2024），以评估惯性测量单元（imu）、肌电（EMG）传感器和压力传感器在减轻WMSD风险方面的应用。研究结果表明，可穿戴技术通过实时反馈增强了工作场所的安全性，降低了人体工程学风险，提高了生产率。尽管取得了很大的进步，但诸如可扩展性、用户舒适度和数据隐私等挑战仍然存在。这篇综述强调了标准化协议、伦理框架以及与机器学习的更深层次集成的必要性，以优化传感器的准确性和可用性。未来的研究方向包括推进人工智能驱动的预测人体工程学，解决隐私问题，以及改进传感器设计以实现广泛的工业应用。本研究提供了可操作的见解，以弥合学术研究与不同工业环境中的实际部署之间的差距。

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引用次数: 0