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Towards a-scan imaging via Ultrasonic Vibration Potential measurements

机译:通过超声波振动势测量实现A扫描成像

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摘要

A potential of a 1-D imaging technique utilizing Ultrasonic Vibration Potential (UVP) is reported in the paper, in which ultrasound is used to vibrate charged particles or ions in colloids, producing electric dipole moments and generating electrical signals which are in relation to their properties. In this study, an experimental vessel was designed, consisting of a specimen chamber and two types of electrodes (stainless steel needle electrodes and wire mesh electrodes). Ultra-weak UVP signals were measured from different samples with these electrodes, including silica colloid and few alkali metal ionic solutions. The intensity of UVP signals is in a range from 0.04 to 3.35 |jA in respect to silica suspensions with concentrations of 0.5-5 wt%. In addition, trials on tumour cell lines were conducted, which identified challenges arising from measurements in biological material. The source of the current in colloidal suspensions was ascertained and also signal features of non-homogeneous samples were investigated, demonstrating the potential capability of the 1-D imaging method.
机译:本文报道了利用超声振动势(UVP)的一维成像技术的潜力,其中超声用于振动胶体中的带电粒子或离子,产生电偶极矩并产生与其电势相关的电信号。属性。在这项研究中,设计了一个实验容器,该容器由标本室和两种类型的电极(不锈钢针状电极和丝网电极)组成。使用这些电极从不同样品中测得的超弱UVP信号,包括二氧化硅胶体和少量碱金属离子溶液。相对于浓度为0.5-5wt%的二氧化硅悬浮液,UVP信号的强度在0.04至3.35 | jA的范围内。此外,还对肿瘤细胞系进行了试验,确定了生物材料测量带来的挑战。确定了胶体悬浮液中的电流来源,并且还研究了非均质样品的信号特征,证明了一维成像方法的潜在能力。

著录项

  • 来源
    《Nuclear Engineering and Design》 |2011年第6期|p.1994-1997|共4页
  • 作者单位

    Institute of Particle Science and Engineering, University of Leeds, UK;

    Institute of Particle Science and Engineering, University of Leeds, UK;

    Institute of Particle Science and Engineering, University of Leeds, UK;

    Institute of Particle Science and Engineering, University of Leeds, UK;

    The Leeds Institute of Molecular Medicine (LIMM), University of Leeds, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 00:44:32

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