Phenolic compounds that are naturally found in food samples are not only an important part of the human diet but also useful bioactive substances for health. Among these, para-coumaric acid (p-CA) has antibacterial and antioxidant properties and is used in many industrial processes. In this study, the novel MAX-phase material, NbAlC, was successfully prepared and characterized in detail with various spectroscopic, microscopic and thermal techniques. The sensor performance of NbAlC modified glassy carbon electrode (NbAlC@GCE) was evaluated and analytical parameters were calculated. Experimental conditions such as pH and amount of modifier were optimized with differential pulse voltammetry (DPV) measurements. The real samples analyses of lemon, apple and pomegranate were applied for determination of p-CA with NbAlC@GCE sensing system under the optimized conditions. The accuracy was evaluated by spike/recovery and high-performance liquid chromatography analysis, which accounted for high accuracy of the NbAlC@GCE sensing system. The limit of detection, limit of quantification, linear working range and relative standard deviation (%) of the NbAlC@GCE sensing system were determined as 0.28 and 0.85 µmol/L, 0.8-80.0 µmol/L, 3.17 %, respectively. The results showed that the proposed sensing system has the high precision at lower concentration of p-CA.
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http://dx.doi.org/10.1016/j.foodchem.2022.134130 | DOI Listing |
Sensors (Basel)
December 2024
Xuejiawan Power Supply Company, Ordos 010300, China.
Recently, massive intelligent applications have emerged for the smart grid (SG), such as inspection and sensing. To support these applications, there have been high requirements on wireless communication for the SG, especially in remote areas. To tackle these challenges, a UAV-assisted heterogeneous wireless network is proposed in this paper for the SG, where multiple UAVs and a macro base station collaboratively provide a wide range of communication services.
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December 2024
Institute of Mechanical Intelligence, Scuola Superiore Sant'Anna, Via G. Moruzzi 1, 56124 Pisa, Italy.
CloudSim is a versatile simulation framework for modeling cloud infrastructure components that supports customizable and extensible application provisioning strategies, allowing for the simulation of cloud services. On the other hand, Distributed Acoustic Sensing (DAS) is a ubiquitous technique used for measuring vibrations over an extended region. Data handling in DAS remains an open issue, as many applications need continuous monitoring of a volume of samples whose storage and processing in real time require high-capacity memory and computing resources.
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December 2024
NUS-ISS, National University of Singapore, Singapore 119615, Singapore.
The attention mechanism is essential to (CNN) vision backbones used for sensing and imaging systems. Conventional attention modules are designed heuristically, relying heavily on empirical tuning. To tackle the challenge of designing attention mechanisms, this paper proposes a novel probabilistic attention mechanism.
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December 2024
Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal.
Virtual reality (VR) has been used in research and clinical practice in the management of Parkinson's disease (PD), potentially enhancing physiotherapy. Adverse events (AEs) associated with VR applications in PD have been poorly explored. We conducted a randomized controlled trial to compare two 12-week interventions using physiotherapy and immersive VR, and analyzed the frequency and type of AEs occurring in 30 people with PD.
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December 2024
Key Laboratory of System Control and Information Processing, Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China.
The suspended sediment plume generated in the deep-sea mining process significantly impacts the marine environment and seabed ecosystem. Accurate boundary estimation can effectively monitor the scope of environmental impact, guiding mining operations to prevent ecological damage. In this paper, we propose a dynamic boundary estimation approach for the suspended sediment plume, leveraging the sensing capability of the Autonomous Underwater Vehicles (AUVs).
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