首页> 外文学位 >Porous Silicon and Denim Fiber Bundle Characterization.
【24h】

Porous Silicon and Denim Fiber Bundle Characterization.

机译:多孔硅和牛仔布纤维束的表征。

获取原文
获取原文并翻译 | 示例

摘要

My thesis research aims to characterize and exploit materials in an efficient, rapid, non-destructive manner. Part I of this document summarizes my research on porous silicon (pSi) design, fabrication, and surface modification for use as a novel chemical sensor. The optimization of fabrication process parameters (etching time, etching solution, electrode shape, and the fixing process) on pSi photoluminescence (PL) is presented. I have also investigated the effects of analyte vapors (acetonitrile, toluene, methanol, acetone) on the pSi PL and surface chemistry using luminescence and Fourier-transform infrared (FT-IR) spectroscopy and microscopy methods. The mechanism and benefits of one method of pSi surface modification and protection (ultraviolet (UV) hydrosilylation) will also be presented. Finally, high thorough-put methods of pSi sensor production are described.;In Part II of this document, I introduce a novel technique for analyzing and discriminating among denim fiber bundles. An investigation into the benefits of luminescence-based multispectral imaging (LMSI) for denim fiber bundle identification has been conducted. I explore the power of nitromethane (CH 3NO2) based quenching in fiber bundle classification and identify the quenching mechanism. The luminescence spectra (450 - 850 nm) and images from the denim fiber bundles were obtained while exciting at 325 nm or 405 nm. Here, LMSI data were recorded in < 10 s and subsequently assessed by principal component analysis (PCA) and rendered red, green, blue (RGB) component histograms. The results show that LMSI data can be used to rapidly and uniquely classify all the fiber bundle types studied in this research. These non-destructive techniques eliminate extensive sample preparation and allow for rapid multispectral image collection, analysis, and assessment. The quenching data also revealed that the dye molecules within the individual fiber bundles exhibited dramatically different accessibilities to CH 3NO2.
机译:我的论文研究旨在以高效,快速,无损的方式表征和开发材料。本文的第一部分总结了我对多孔硅(pSi)设计,制造和表面修饰的研究,以用作新型化学传感器。提出了在pSi光致发光(PL)上优化制造工艺参数(蚀刻时间,蚀刻溶液,电极形状和固定工艺)的方法。我还使用发光和傅立叶变换红外(FT-IR)光谱和显微镜方法研究了分析物蒸气(乙腈,甲苯,甲醇,丙酮)对pSi PL和表面化学的影响。还将介绍一种pSi表面改性和保护方法(紫外线(UV)氢化硅烷化)的机理和优点。最后,描述了pSi传感器生产的高通量方法。在本文件的第二部分中,我介绍了一种用于分析和区分牛仔布纤维束的新技术。已经进行了基于发光的多光谱成像(LMSI)对牛仔布纤维束识别的好处的研究。我探索了基于硝基甲烷(CH 3NO2)的淬灭在纤维束分类中的作用,并确定了淬灭机理。在325 nm或405 nm激发的同时,获得了来自牛仔布纤维束的发光光谱(450-850 nm)和图像。此处,LMSI数据在<10 s内记录,随后通过主成分分析(PCA)进行评估,并绘制了红色,绿色,蓝色(RGB)成分直方图。结果表明,LMSI数据可用于快速唯一地对本研究中研究的所有纤维束类型进行分类。这些无损技术无需进行大量的样品制备,并可以快速进行多光谱图像采集,分析和评估。猝灭数据还表明,单个纤维束中的染料分子对CH 3NO2的可及性显着不同。

著录项

  • 作者

    Deuro, Randi Ellen.;

  • 作者单位

    State University of New York at Buffalo.;

  • 授予单位 State University of New York at Buffalo.;
  • 学科 Chemistry Analytical.;Chemistry General.;Nanoscience.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 155 p.
  • 总页数 155
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号