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Lipids monitoring in Scenedesmus obliquus based on terahertz technology.
Biotechnology for Biofuels ( IF 6.3 ) Pub Date : 2020-09-16 , DOI: 10.1186/s13068-020-01801-0
Yongni Shao 1, 2 , Weimin Gu 1 , Y Ating Qiu 1 , Shengfeng Wang 1 , Yan Peng 1, 2 , YiMing Zhu 1, 2 , Songlin Zhuang 1
Affiliation  

Microalgae are considered as a source of low pollution and renewable fuel due to their ability to synthesize an abundance of lipids. Conventional methods for lipid quantification are time-consuming and chemically contaminated, while spectroscopic method combined with mathematical model is much more attractive due to its ability of qualitative and quantitative analysis of material composition, in this sense, terahertz technology provides not only timely and non-destructive testing without chemical pollution, but also provides information on the functional group vibration mode and structure of the measured components. Therefore, terahertz technology is utilized in our investigation and proposed for microalgae metabolism detection. The aim of this study was to use terahertz spectroscopy to observe lipid content in Scenedesmus obliquus (S. obliquus). We collected the THz spectra of S. obliquus which were cultivated under nitrogen stress and terahertz spectroscopy was used to analyze changes in substance components (lipids, proteins, carbohydrates and β-carotene). The PLS algorithm was used to model the terahertz data to distinguish the different lipid content of S. obliquus under nitrogen stress. The correlation coefficient of the prediction results of the lipid characteristic band modeling was above 0.991, and the root mean square error was less than 0.132. It indicated that terahertz technology can be used to discriminate S. obliquus cells under different nitrogen stress effectively. The correlation between the terahertz characteristic peak (9.3 THz) and the total lipid content determined by gravimetry reaches 0.960. The final results were compared with the commonly used spectroscopic methods for lipid observation (Raman spectroscopy). In this article, we demonstrated the effectiveness of terahertz spectroscopy to monitor changes in microalgae lipid content under nitrogen stress. Terahertz spectroscopy is more suitable for industrial production or ordinary laboratories which require intermediate result with low-frequency screening. When quantifying microalgae lipids, the constraint of terahertz spectroscopy is far less than that of Raman spectroscopy, and it is easier for operator to accurately quantify microalgae lipid. In addition, it is still in early stage for the study of microalgae using terahertz spectroscopy technology, there is still much potential for us to explore.

中文翻译:

基于太赫兹技术的斜栅藻脂质监测。

由于微藻能够合成大量脂质,因此被认为是低污染和可再生燃料的来源。传统的脂质定量方法耗时且存在化学污染,而光谱法结合数学模型则因其对物质成分的定性和定量分析能力而更具吸引力,从这个意义上说,太赫兹技术不仅提供了及时且非没有化​​学污染的破坏性测试,还提供了被测组件的官能团振动模式和结构信息。因此,太赫兹技术被用于我们的研究并被提议用于微藻代谢检测。本研究的目的是使用太赫兹光谱来观察斜角栅藻 (S. obliquus) 中的脂质含量。我们收集了在氮胁迫下培养的 S. obliquus 的太赫兹光谱,并用太赫兹光谱分析了物质成分(脂质、蛋白质、碳水化合物和β-胡萝卜素)的变化。采用PLS算法对太赫兹数据进行建模,以区分氮胁迫下斜方糖的不同脂质含量。脂质特征带建模预测结果的相关系数在0.991以上,均方根误差小于0.132。说明太赫兹技术可以有效区分不同氮胁迫下的S. obliquus细胞。太赫兹特征峰(9.3 THz)与重量法测定的总脂质含量之间的相关性达到0.960。将最终结果与常用的脂质观察光谱方法(拉曼光谱)进行比较。在本文中,我们展示了太赫兹光谱在监测氮胁迫下微藻脂质含量变化的有效性。太赫兹光谱更适合工业生产或普通实验室,需要低频筛选的中间结果。在对微藻脂质进行定量时,太赫兹光谱的约束远小于拉曼光谱,操作者更容易准确定量微藻脂质。此外,利用太赫兹光谱技术对微藻的研究还处于早期阶段,还有很大的探索潜力。我们证明了太赫兹光谱在氮胁迫下监测微藻脂质含量变化的有效性。太赫兹光谱更适合工业生产或普通实验室,需要低频筛选的中间结果。在对微藻脂质进行定量时,太赫兹光谱的约束远小于拉曼光谱,操作者更容易准确定量微藻脂质。此外,利用太赫兹光谱技术对微藻的研究还处于早期阶段,还有很大的探索潜力。我们证明了太赫兹光谱在氮胁迫下监测微藻脂质含量变化的有效性。太赫兹光谱更适合工业生产或普通实验室,需要低频筛选的中间结果。在对微藻脂质进行定量时,太赫兹光谱的约束远小于拉曼光谱,操作者更容易准确定量微藻脂质。此外,利用太赫兹光谱技术对微藻的研究还处于早期阶段,还有很大的探索潜力。太赫兹光谱更适合工业生产或普通实验室,需要低频筛选的中间结果。在对微藻脂质进行定量时,太赫兹光谱的约束远小于拉曼光谱,操作者更容易准确定量微藻脂质。此外,利用太赫兹光谱技术对微藻的研究还处于早期阶段,还有很大的探索潜力。太赫兹光谱更适合工业生产或普通实验室,需要低频筛选的中间结果。在对微藻脂质进行定量时,太赫兹光谱的约束远小于拉曼光谱,操作者更容易准确定量微藻脂质。此外,利用太赫兹光谱技术对微藻的研究还处于早期阶段,还有很大的探索潜力。
更新日期:2020-09-16
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