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Natural water fingerprinting and bioaerosol detection by multidimensional fluorescence spectroscopy.

机译:通过多维荧光光谱法对天然水进行指纹识别和生物气溶胶检测。

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摘要

Multidimensional fluorescence spectroscopy is a powerful tool for analyzing complex real world samples having inherent fluorescence properties. Steady-state and time-resolved fluorescence methods were used to utilize fluorophores found in natural waters for classification to their location of origin. Steady state three-way date-ordered excitation-emission matrices (DO-EEMs) were recorded for water samples during a regional watershed study and a national three port study. Time-resolved excitation-emission spectroscopy was also conducted on the three port samples to produce four-way data, referred to as time-resolved excitation emission matrices (TREEMs). Such multivariate data are well suited for treatment by multi-way Partial Least Squares Discriminant Analysis (NPLS-DA), a supervised pattern recognition regression method. Classification results are presented for the regional steady state fluorescence fingerprinting study as well as for the three-port fingerprinting study, using both DO-EEM and TREEM data. The identification of geographic origin of water samples was possible without physical or chemical separation of components by NPLS-DA classification of multidimensional fluorescence data. This fingerprinting technique shows great promise as a forensic tool for the enforcement of ballast water exchange regulations.; A novel time-resolved integrated laser-induced fluorescence (TRI-LIF) instrument was designed and constructed for detection of airborne biological materials. This approach focused on improving resolution of aerosols by intrinsic fluorescence decay time. Existing fluorescence-based bioaerosol detection instruments experience high false positive rates in polluted areas, resulting from non-biological fluorescent aerosols. In this work, addition of the decay time dimension was traded for spectral resolution to avoid the interference by emission overlap and reduce the incidence of false alarms by fluorescence lifetime discrimination. Results of instrument characterization and preliminary particle experiments, using pyrene alone and pyrene adsorbed on alumina, are discussed in this text.
机译:多维荧光光谱法是分析具有固有荧光特性的复杂现实世界样本的强大工具。稳态和时间分辨荧光方法被用于利用天然水中发现的荧光团对它们的起源位置进行分类。在区域分水岭研究和国家三港口研究期间,记录了水样的稳态三元按日期排序的激发排放矩阵(DO-EEM)。还对这三个端口样品进行了时间分辨激发发射光谱学,以产生四向数据,称为时间分辨激发发射矩阵(TREEM)。这样的多元数据非常适合通过多模式偏最小二乘判别分析(NPLS-DA)(一种监督模式识别回归方法)进行处理。使用DO-EEM和TREEM数据,为区域稳态荧光指纹图谱研究和三端口指纹图谱研究提供了分类结果。通过多维荧光数据的NPLS-DA分类,无需物理或化学分离组分即可鉴定水样品的地理来源。这种指纹技术作为执行压载水交换规定的法医工具具有广阔的前景。设计并构造了一种新型的时间分辨集成激光诱导荧光(TRI-LIF)仪器,用于检测航空生物材料。该方法致力于通过固有的荧光衰减时间提高气溶胶的分辨率。现有的基于荧光的生物气溶胶检测仪器在污染区域由于非生物荧光气溶胶而导致较高的假阳性率。在这项工作中,将衰减时间的维数换成光谱分辨率,以避免发射重叠造成的干扰,并通过荧光寿命判别减少误报的发生。本文讨论了仅使用pyr和将pyr吸附在氧化铝上的仪器表征和初步粒子实验的结果。

著录项

  • 作者

    Clow, Kerin E.;

  • 作者单位

    Tufts University.;

  • 授予单位 Tufts University.;
  • 学科 Chemistry Analytical.; Engineering Environmental.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 220 p.
  • 总页数 220
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学;环境污染及其防治;
  • 关键词

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