Pyrolysis GC-MS as a novel analysis technique to determine the biochemical composition of microalgae
Pyrolysis GC-MS as a novel analysis technique to determine the biochemical composition of microalgae
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DOI：
10.1016/j.algal.2014.09.009
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发表时间：
2014-10-01
影响因子：
5.1
通讯作者：
Ross, A. B.
中科院分区：
文献类型：
--
作者：
Biller, P.;Ross, A. B.
微藻的生物化学组成是微藻生物燃料系统可行性的主要因素。目前，全成分分析需要繁琐、昂贵和耗时的分析方法。本研究尝试利用裂解气相色谱-质谱联用技术（Py-GC-MS）对微藻的生化组成进行分析。通过鉴定微藻各主要生化组分的热解标志化合物，可以对藻样的组成进行估计。这通过对模型蛋白质、碳水化合物和脂质进行Py-GC-MS来辅助。吲哚被证明是从蛋白质馏分的分解产物，其水平与蛋白质含量的变化是一致的。微藻的脂质含量可以从烷烃的存在和碳水化合物馏分的存在下，3-甲基-1，2-环戊二酮的估计。共26种不同的微藻和蓝藻菌株的蛋白质，碳水化合物和脂质水平进行了研究，使用已建立的分析技术。将生化组成与使用Py-GC-MS的新技术的结果进行比较，并且显示出良好的对应性;发现R-2值为0.6-0.9。结果表明，Py-GC-MS可以作为一个快速的测试，研究水平和不同的藻类的生化组成的变化，使用一个快速的技术与最少的样品制备。(C)2014作者由Elsevier B. V.发布。这是CC BY许可下的开放获取文章（http：//creativecommons.org/licenses/by/3.0/）。
The biochemical composition of microalgae is a major factor in the feasibility of microalgae biofuel systems. Currently full compositional analysis entails tedious, costly and time consuming analysis methods. In the current research, an attempt has been made to use Analytical Pyrolysis Gas Chromatography Mass Spectrometry (Py-GC-MS) to determine the biochemical composition of microalgae. By identifying pyrolysis marker compounds of each main biochemical component of microalgae, the composition of algae samples could be estimated. This was aided by performing Py-GC-MS of a model protein, carbohydrate and lipid. Indole was shown to be a decomposition product from the protein fraction and its levels were consistent with the changing protein content. The lipid content of the microalgae could be estimated from the presence of alkanes and the carbohydrate fraction by the presence of 1,2-cyclopentanedione, 3-methyl-. A total of 26 different microalgae and cyanobacteria strains were investigated for their protein, carbohydrate and lipid levels using established analysis techniques. The biochemical compositions are compared to the results from the novel technique using Py-GC-MS and are shown to correspond well; R-2 values were found to be 0.6-0.9. The results suggest that Py-GC-MS can be used as a rapid test for studying levels and changes in biochemical composition of different algae using one fast technique with minimal sample preparation. (C) 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).