首页> 外文学位 >A PORTABLE MULTICHANNEL FLUORESCENCE SPECTROPHOTOMETER FOR CHARACTERIZATION OF MARINE PHYTOPLANKTON POPULATIONS (PATTERN RECOGNITION, ARC LAMP STABILIZATION, PHOTODIODE ARRAY, GEORGIA, CALIFORNIA, GULF OF MEXICO).
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A PORTABLE MULTICHANNEL FLUORESCENCE SPECTROPHOTOMETER FOR CHARACTERIZATION OF MARINE PHYTOPLANKTON POPULATIONS (PATTERN RECOGNITION, ARC LAMP STABILIZATION, PHOTODIODE ARRAY, GEORGIA, CALIFORNIA, GULF OF MEXICO).

机译:表征海洋浮游植物种群的便携式多通道荧光分光光度计(模式识别,弧光稳定,光电二极管阵列,乔治亚州,加利福尼亚州,墨西哥湾)。

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摘要

The rapid and sensitive monitoring of natural phytoplankton populations is commonly performed by detection of in vivo fluorescence. However, the non-scanning fluorescence spectrometers that are commonly used cannot easily acquire multiwavelength spectra. For this reason, a portable, multichannel fluorescence spectrophotometer (PMFS) is developed for the in situ characterization of marine phytoplankton populations. The PMFS combines the characteristics of rapid scanning and multichannel detection with sensitivity comparable to commercially available fluorescence spectrophotometers. Data is acquired by the PMFS in a two-dimensional format called an excitation-emission matrix (EEM). To ensure the acquisition of reproducible data, a novel method of arc lamp stabilization is described. This method inhibits arc wander by adding a small (< 2v) alternating current (AC) signal to the direct current (DC) power supply.;The effectiveness of the PMFS and the pattern recognition technique is illustrated by the analysis of natural phytoplankton populations at three different locations: San Diego Bay, California; Gulf of Mexico; coastal area near Skidaway Island, Georgia. Data from these locations are favorably compared to standard EEMs acquired in the laboratory.;The two-dimensional nature of the EEM in conjunction with the pigment systems specific to certain classes of algae make the EEM an effective "fingerprint" for the characterization of marine phytoplankton. A method of Fourier transform pattern recognition is employed to objectively correlate spectral similarity with sample taxonomy. More than 30 different species of marine algae from 7 different classes are examined to determine pattern recognition accuracy. The effects of cell physiology and binary mixtures of species on pattern recognition accuracy are also described.
机译:通常通过检测体内荧光来对天然浮游植物种群进行快速而灵敏的监测。然而,通常使用的非扫描荧光光谱仪不能容易地获取多波长光谱。由于这个原因,便携式多通道荧光分光光度计(PMFS)被开发用于海洋浮游植物种群的原位表征。 PMFS结合了快速扫描和多通道检测的特性,其灵敏度可与市售荧光分光光度计相媲美。 PMFS以二维格式(称为激发发射矩阵(EEM))获取数据。为了确保获得可再现的数据,描述了一种弧光灯稳定化的新方法。该方法通过在直流(DC)电源上添加一个小的(<2v)交流(AC)信号来抑制电弧漂移。; PMFS和模式识别技术的有效性通过对自然浮游植物种群的分析来说明。三个不同的地点:加利福尼亚州圣地亚哥湾;墨西哥湾;佐治亚州斯基德威岛附近的沿海地区。来自这些位置的数据与实验室中采集的标准EEM相比具有优势。EEM的二维性质以及特定于某些藻类的色素系统使EEM成为表征海洋浮游植物的有效“指纹”。 。使用傅里叶变换模式识别的方法来客观地将频谱相似性与样本分类法相关。检查了来自7个不同类别的30多种不同种类的海藻,以确定模式识别的准确性。还描述了细胞生理学和物种的二元混合物对模式识别准确性的影响。

著录项

  • 作者

    OLDHAM, PHILIP BRYAN.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Chemistry Analytical.
  • 学位 Ph.D.
  • 年度 1985
  • 页码 214 p.
  • 总页数 214
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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