Department of Marine Biology, Texas A&M University at Galveston, Galveston, TX 77553, United States.
Department of Marine Science, Texas A&M University at Galveston, Galveston, TX 77553, United States.
Mar Pollut Bull. 2018 May;130:170-178. doi: 10.1016/j.marpolbul.2018.03.027. Epub 2018 Mar 20.
Phytoplankton alter their macromolecule composition in response to changing environmental conditions. Often these changes are consistent and can be used as indicators to predict their exposure to a given condition. FTIR-spectroscopy is a powerful tool that provides rapid snapshot of microbial samples. We used FTIR to develop signature macromolecular composition profiles of three cultures: Skeletonema costatum, Emiliania huxleyi, and Navicula sp., exposed to chemically enhanced water accommodated oil fraction (CEWAF) in artificial seawater and control. Using a multivariate model created with a Partial Least Square Discriminant Analysis of the FTIR-spectra, classification of CEWAF exposed versus control samples was possible. This model was validated using aggregate samples from a mesocosm study. Analysis of spectra and PCA-loadings plot showed changes to carbohydrates and proteins in response to CEWAF. Overall we developed a robust multivariate model that can be used to identify if a phytoplankton sample has been exposed to oil with dispersant.
浮游植物会根据环境条件的变化改变其大分子组成。通常这些变化是一致的,可以作为预测它们暴露于特定条件的指标。傅里叶变换红外光谱(FTIR)是一种强大的工具,可以快速获取微生物样本的快照。我们使用 FTIR 来开发三种培养物(Skeletonema costatum、Emiliania huxleyi 和 Navicula sp.)的特征大分子组成谱,这些培养物在人工海水中和对照条件下暴露于化学增强的水可容纳油分(CEWAF)。使用 FTIR 光谱的偏最小二乘判别分析(PLS-DA)创建的多元模型,可以对 CEWAF 暴露和对照样品进行分类。该模型使用中观模型研究的聚合样本进行了验证。对光谱和 PCA 载荷图的分析表明,碳水化合物和蛋白质会因 CEWAF 而发生变化。总的来说,我们开发了一种稳健的多元模型,可以用于识别浮游植物样本是否暴露于含分散剂的石油。