一种用于磁引发治疗的应用器的设计与评价

IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology Pub Date : 2023-04-27 DOI:10.1109/JERM.2023.3267659
Gaetano Chirico;Claudio D'Elia;Nicola D'Ambrosio;Rita Massa
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引用次数: 0

摘要

种子引发是一种生理种子增强方法,用于克服许多作物和开花植物种子发芽不良和不稳定的问题。磁引发是一种利用磁场进行种子预处理的方法,是提高种子性能的一种很有前途的方法。本文介绍了一种用于磁启动处理的曝光系统的成本效益设计和优化。所提出的静态磁场施加器是在商业软件的帮助下建模和设计的。原型是基于最佳几何参数集实现和测试的,以获得最佳性能,即感兴趣区域内磁通密度的强度和高均匀性。分析和测量结果与模拟结果吻合良好。该系统成本低,环境友好,易于操作。它允许以不同的强度进行种子处理,并在样品中具有高度的均匀性。通过这种方式,可以按照高质量生物电磁研究强烈建议的良好实践要求进行治疗,以确保实验的可靠性和再现性。
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Design and Evaluation of an Applicator for Magnetopriming Treatments
Seed priming is a physiological seed enhancement method for overcoming poor and erratic seed germination in many crop and flowering plants. Magnetopriming is a pre-sowing seed treatment with magnetic field that appears as a promising method to improve seed performances. This paper presents a cost-efficient design and optimization of an exposure system for magnetopriming treatments. The proposed static magnetic field applicator is modelled and designed with the aid of commercial software. The prototype is realized and tested based on the best set of geometry parameters for optimum performance, in terms of strength and high homogeneity of the magnetic flux density in the Region of Interest. Both analytical and measurement results are found to be in good agreement with the simulated results. The system is low cost, environmentally friendly and easy to operate. It allows seed treatments at different strengths with high homogeneity within the samples. In this way, the treatments can be carried out following good practice requirements strongly recommended for a high quality bioelectromagnetic research to assure reliability and reproducibility of the experiments.
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CiteScore
5.80
自引率
9.40%
发文量
58
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Front Cover Table of Contents IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology About this Journal IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology Publication Information Models of Melanoma Growth for Assessment of Microwave-Based Diagnostic Tools
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