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Evaluation of algae concentration in manure based media.

机译:粪便培养基中藻类浓度的评估。

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摘要

Algae can be used to treat wastewater and manure while producing a feedstock for renewable energy. Algae require nutrients to achieve their maximum growth and manure could provide those nutrients, thereby reducing the cost of algae production and the impact of manure treatment. Algae concentration during cultivation is a critical variable that is difficult to measure due to the high concentration of suspended solids present in manure. This dissertation addresses methods to measure algae concentration in the presence of manure solids.;Quantifying the algae concentration gravimetrically or by optical density was unreliable due to manure solids interfering with the measurement. Cell counting to determine algae concentration was accurate but time consuming, subjective, required dilution of concentrated samples and only small sample volumes could be measured. Chlorophyll extraction was a consistent method to determine algae concentration in manure based media, but the model had to be adjusted to account for solids interference. The proposed equation predicted chlorophyll concentration from Chlorella vulgaris in dairy manure better than the reference equation. Different algae strains ( Chlorella vulgaris, Cylindrocystis sp, and Scenedesmus sp.) and manure sources (dairy, beef, swine, and sheep) were used to validate the proposed equation and all combinations had a linear relationship between actual and predicted chlorophyll concentration, but not all comparisons followed a 1:1 reference line. Even with chlorophyll extraction the manure solids interfered with the chlorophyll measurement and calibrations had to be developed based on manure type.;A method based on spectral deconvolution was used to quantify algae concentration in the presence of manure without chlorophyll extraction. Various manure-algae mixtures were scanned with a spectrophotometer. Algae concentration was accurately determined with the four manure sources. Measuring algae concentration required absorbance spectra from 600 to 700 nm and manure solids concentration between 280 and 350 nm. Spectral deconvolution was able to differentiate algae concentration and manure solids concentration with a Pearson coefficient of 95.3% and 99.8% respectively. This method proved to be an accurate and efficient method for estimating algae and manure solids content in unprocessed samples. A critical factor was utilizing appropriate reference spectra.;KEYWORDS: Chlorophyll, spectral deconvolution, absorbance, nutrients.
机译:藻类可用于处理废水和粪肥,同时生产可再生能源的原料。藻类需要养分才能达到最大生长,而粪便可以提供那些养分,从而降低藻类生产成本和粪便处理的影响。培养过程中的藻类浓度是一个关键变量,由于粪便中存在高浓度的悬浮固体,因此很难测量。本论文提出了在粪便固体存在下测量藻类浓度的方法。由于粪便固体干扰测量,通过重量或通过光密度定量藻类浓度是不可靠的。确定藻类浓度的细胞计数是准确的,但费时,主观,需要稀释浓缩样品并且只能测量少量样品。叶绿素提取是确定粪便培养基中藻类浓度的一致方法,但必须对模型进行调整以解决固体干扰问题。所提出的方程比参考方程更好地预测了奶牛粪便中小球藻的叶绿素浓度。使用不同的藻类菌株(小球藻,Cylindrocystis sp和Scendesmus sp。)和粪肥来源(乳制品,牛肉,猪和绵羊)来验证该方程,所有组合在实际和预测叶绿素浓度之间均具有线性关系,但是并非所有比较都遵循1:1参考线。即使使用叶绿素提取,粪便固体也会干扰叶绿素的测量,并且必须根据粪便类型开发标定方法。;在不使用叶绿素提取的情况下,使用基于光谱去卷积的方法对存在粪肥的藻类浓度进行定量。用分光光度计扫描各种肥料-藻类混合物。用四种肥料来源准确测定了藻类浓度。测量藻类浓度需要600至700 nm的吸收光谱,粪便中的固体浓度在280至350 nm之间。光谱去卷积能够区分藻类浓度和粪便固体浓度,皮尔逊系数分别为95.3%和99.8%。该方法被证明是一种估算未处理样品中藻类和肥料中固体含量的准确而有效的方法。一个关键因素是利用适当的参考光谱。关键词:叶绿素,光谱去卷积,吸光度,养分。

著录项

  • 作者单位

    University of Kentucky.;

  • 授予单位 University of Kentucky.;
  • 学科 Engineering Agricultural.;Engineering Environmental.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 183 p.
  • 总页数 183
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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