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Lipids monitoring in Scenedesmus obliquus based on terahertz technology

BACKGROUND: 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 i...

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Autores principales: Shao, Yongni, Gu, Weimin, Qiu, Y ating, Wang, Shengfeng, Peng, Yan, Zhu, YiMing, Zhuang, Songlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493189/
https://www.ncbi.nlm.nih.gov/pubmed/32944077
http://dx.doi.org/10.1186/s13068-020-01801-0
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author Shao, Yongni
Gu, Weimin
Qiu, Y ating
Wang, Shengfeng
Peng, Yan
Zhu, YiMing
Zhuang, Songlin
author_facet Shao, Yongni
Gu, Weimin
Qiu, Y ating
Wang, Shengfeng
Peng, Yan
Zhu, YiMing
Zhuang, Songlin
author_sort Shao, Yongni
collection PubMed
description BACKGROUND: 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. RESULTS: 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). CONCLUSIONS: 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.
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spelling pubmed-74931892020-09-16 Lipids monitoring in Scenedesmus obliquus based on terahertz technology Shao, Yongni Gu, Weimin Qiu, Y ating Wang, Shengfeng Peng, Yan Zhu, YiMing Zhuang, Songlin Biotechnol Biofuels Research BACKGROUND: 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. RESULTS: 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). CONCLUSIONS: 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. BioMed Central 2020-09-16 /pmc/articles/PMC7493189/ /pubmed/32944077 http://dx.doi.org/10.1186/s13068-020-01801-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Shao, Yongni
Gu, Weimin
Qiu, Y ating
Wang, Shengfeng
Peng, Yan
Zhu, YiMing
Zhuang, Songlin
Lipids monitoring in Scenedesmus obliquus based on terahertz technology
title Lipids monitoring in Scenedesmus obliquus based on terahertz technology
title_full Lipids monitoring in Scenedesmus obliquus based on terahertz technology
title_fullStr Lipids monitoring in Scenedesmus obliquus based on terahertz technology
title_full_unstemmed Lipids monitoring in Scenedesmus obliquus based on terahertz technology
title_short Lipids monitoring in Scenedesmus obliquus based on terahertz technology
title_sort lipids monitoring in scenedesmus obliquus based on terahertz technology
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493189/
https://www.ncbi.nlm.nih.gov/pubmed/32944077
http://dx.doi.org/10.1186/s13068-020-01801-0
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