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The Role of Fluorescence and Human Factors in Quantitative Transdermal Blood and Tissue Analysis Using NIR Raman Spectroscopy.

机译:荧光和人为因素在使用NIR拉曼光谱进行定量透皮血液和组织分析中的作用。

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摘要

This research is part of an ongoing project aimed at the application of combined near infrared (NIR) Raman and fluorescence spectroscopy to noninvasive in vivo blood analysis including but not limited to glucose monitoring. Coping with practicalities of human factors and exploring ways to obtain and use knowledge gained about autofluorescence to improve algorithms for blood and tissue analysis are the general goals of this research. Firstly, the study investigated the various sources of human factors pertinent to our concerns, such as fingerprints, turgor, skin hydration and pigmentation. We then introduced specialized in vivo apparatus including means for precise and reproducible placement of the tissues relative to the optical aperture, i.e., the position detector pressure monitor (PDPM). Based on solid instrumental performances, appropriate methodology is now provided for applying and maintaining pressure to keep surface tissues immobile during experiments while obtaining the desired blood content and flow. Secondly, in vivo human fingertip skin autofluorescence photobleaching under 200 mW 830 nm NIR irradiation is observed and it is characterized that: i) the majority of the photobleached fluorescence originates from static tissue not blood, ii) the bleaching (1/e point) occurs in 101-102 sec timescale, and also iii) a photobleached region remains bleached for at least 45 min but recovers completely within several hours. A corresponding extensive but not exhaustive in vitro systematic study narrowed down the major contributors of such fluorescence and bleaching to collagen, melanin, plasma and hemoglobin: two major static tissue constituents and two major blood proteins. Thirdly, we established that measuring the inelastic and elastic emissions simultaneously leads to a sensitive probe for volume changes of both red blood cells and plasma. An algorithm based on measurements obtained while performing research needed for this thesis, as well as some empirical calibration approaches, was presented. The calibrated algorithm showed real potential to track hematocrit variations in cardiac pulses, centrifugal loading, blood vessel blockage using tourniquet, and even during as subtle an occurrence as in a Valsalva maneuver. Finally, NIR fluorescence and photochemistry of pentosidine, a representative of the advanced glycation endproducts (AGEs) which accumulate with age and hyperglycemia, was studied. The results indicate that oxygen plays a pivotal role in its photobleaching process. We hypothesized and offered proofs showing that pentosidine is a 1O2 sensitizer that is also subject to attack by the 1O2 resulting in the photobleaching that is observed when probing tissue using NIR. The photobleaching reaction is kinetically first order in pentosidine and ground state oxygen, and in vivo effectively first order with NIR irradiation also.
机译:这项研究是正在进行的项目的一部分,该项目旨在将近红外(NIR)拉曼光谱和荧光光谱技术应用于无创体内血液分析,包括但不限于葡萄糖监测。应付人为因素的实用性并探索获取和使用自体荧光知识以改进血液和组织分析算法的方法是本研究的总体目标。首先,研究调查了与我们关注的人为因素有关的各种来源,例如指纹,肿胀,皮肤水合作用和色素沉着。然后,我们引入了专门的体内装置,该装置包括用于相对于光学孔径精确且可再现地放置组织的装置,即位置检测器压力监视器(PDPM)。基于可靠的仪器性能,现在提供了适当的方法来施加和保持压力,以在实验过程中保持表层组织不动,同时获得所需的血液含量和流量。其次,观察到在200 mW 830 nm NIR辐照下的体内人的指尖皮肤自发荧光光漂白,其特征是:i)大多数光漂白荧光来自静态组织而不是血液,ii)发生漂白(1 / e点)在101-102秒的时间范围内,并且iii)光漂白区域至少要保持漂白45分钟,但在数小时内完全恢复。相应的广泛但不详尽的体外系统研究缩小了这种荧光和漂白对胶原蛋白,黑色素,血浆和血红蛋白的主要贡献范围:两种主要的静态组织成分和两种主要的血液蛋白。第三,我们确定,同时测量非弹性和弹性排放量会导致对红细胞和血浆体积变化的灵敏探测。提出了一种基于本文进行研究时获得的测量结果的算法,以及一些经验性的校准方法。校准后的算法显示出真正的潜力,可以追踪血流比容变化,包括心脏止血带,离心负荷,使用止血带的血管阻塞,甚至在像Valsalva动作那样微妙的发生期间。最后,研究了戊糖苷的近红外(NIR)荧光和光化学,戊糖苷是随着年龄和高血糖而积累的晚期糖基化终产物(AGEs)的代表。结果表明氧气在其光漂白过程中起着关键作用。我们假设并提供了证明,表明戊糖苷是一种1O2敏化剂,它也容易受到1O2的攻击,导致在使用NIR探测组织时观察到光致漂白。在戊糖苷和基态氧中,光漂白反应在动力学上是一级的,而在近红外照射下,在体内也是有效的一级。

著录项

  • 作者

    Deng, Bin.;

  • 作者单位

    Syracuse University.;

  • 授予单位 Syracuse University.;
  • 学科 Biomedical engineering.;Optics.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 284 p.
  • 总页数 284
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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