Detection and imaging of lipids of Scenedesmus obliquus based on confocal Raman microspectroscopy
Abstract In this study, confocal Raman microspectroscopy was used to detect lipids in microalgae rapidly and non-destructively. Microalgae cells were cultured under nitrogen deficiency. The accumulation of lipids in Scenedesmus obliquus was observed by Nile red staining, and the total amount of lipi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2017-12-01
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| Series: | Biotechnology for Biofuels |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13068-017-0977-8 |
| _version_ | 1818265058038251520 |
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| author | Yongni Shao Hui Fang Hong Zhou Qi Wang Yiming Zhu Yong He |
| author_facet | Yongni Shao Hui Fang Hong Zhou Qi Wang Yiming Zhu Yong He |
| author_sort | Yongni Shao |
| collection | DOAJ |
| description | Abstract In this study, confocal Raman microspectroscopy was used to detect lipids in microalgae rapidly and non-destructively. Microalgae cells were cultured under nitrogen deficiency. The accumulation of lipids in Scenedesmus obliquus was observed by Nile red staining, and the total amount of lipids accumulated in the cells was measured by gravimetric method. The signals from different microalgae cells were collected by confocal Raman microspectroscopy to establish a prediction model of intracellular lipid content, and surface scanning signals for drawing pseudo color images of lipids distribution. The images can show the location of pyrenoid and lipid accumulation in cells. Analyze Raman spectrum data and build PCA-LDA model using four different bands (full bands, pigments, lipids, and mixed features). Models of full bands or pigment characteristic bands were capable of identifying S. obliquus cells under different nitrogen stress culture time. The prediction accuracy of model of lipid characteristic bands is relatively low. The correlation between the fatty acid content measured by the gravimetric method and the integral Raman intensity of the oil characteristic peak (1445 cm−1) measured by Raman spectroscopy was analyzed. There was significant correlation (R 2 = 0.83), which means that Raman spectroscopy is applicable to semi-quantitative detection of microalgal lipid content. |
| first_indexed | 2024-12-12T19:44:46Z |
| format | Article |
| id | doaj.art-201c6ca112cb4acc8f7f8038748deac6 |
| institution | Directory Open Access Journal |
| issn | 1754-6834 |
| language | English |
| last_indexed | 2024-12-12T19:44:46Z |
| publishDate | 2017-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Biotechnology for Biofuels |
| spelling | doaj.art-201c6ca112cb4acc8f7f8038748deac62022-12-22T00:14:07ZengBMCBiotechnology for Biofuels1754-68342017-12-011011810.1186/s13068-017-0977-8Detection and imaging of lipids of Scenedesmus obliquus based on confocal Raman microspectroscopyYongni Shao0Hui Fang1Hong Zhou2Qi Wang3Yiming Zhu4Yong He5Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and TechnologyCollege of Biosystems Engineering and Food Science, Zhejiang UniversityCollege of Biosystems Engineering and Food Science, Zhejiang UniversityCollege of Biosystems Engineering and Food Science, Zhejiang UniversityShanghai Key Lab of Modern Optical System, University of Shanghai for Science and TechnologyCollege of Biosystems Engineering and Food Science, Zhejiang UniversityAbstract In this study, confocal Raman microspectroscopy was used to detect lipids in microalgae rapidly and non-destructively. Microalgae cells were cultured under nitrogen deficiency. The accumulation of lipids in Scenedesmus obliquus was observed by Nile red staining, and the total amount of lipids accumulated in the cells was measured by gravimetric method. The signals from different microalgae cells were collected by confocal Raman microspectroscopy to establish a prediction model of intracellular lipid content, and surface scanning signals for drawing pseudo color images of lipids distribution. The images can show the location of pyrenoid and lipid accumulation in cells. Analyze Raman spectrum data and build PCA-LDA model using four different bands (full bands, pigments, lipids, and mixed features). Models of full bands or pigment characteristic bands were capable of identifying S. obliquus cells under different nitrogen stress culture time. The prediction accuracy of model of lipid characteristic bands is relatively low. The correlation between the fatty acid content measured by the gravimetric method and the integral Raman intensity of the oil characteristic peak (1445 cm−1) measured by Raman spectroscopy was analyzed. There was significant correlation (R 2 = 0.83), which means that Raman spectroscopy is applicable to semi-quantitative detection of microalgal lipid content.http://link.springer.com/article/10.1186/s13068-017-0977-8Raman microspectroscopyMicroalgaeLipids |
| spellingShingle | Yongni Shao Hui Fang Hong Zhou Qi Wang Yiming Zhu Yong He Detection and imaging of lipids of Scenedesmus obliquus based on confocal Raman microspectroscopy Biotechnology for Biofuels Raman microspectroscopy Microalgae Lipids |
| title | Detection and imaging of lipids of Scenedesmus obliquus based on confocal Raman microspectroscopy |
| title_full | Detection and imaging of lipids of Scenedesmus obliquus based on confocal Raman microspectroscopy |
| title_fullStr | Detection and imaging of lipids of Scenedesmus obliquus based on confocal Raman microspectroscopy |
| title_full_unstemmed | Detection and imaging of lipids of Scenedesmus obliquus based on confocal Raman microspectroscopy |
| title_short | Detection and imaging of lipids of Scenedesmus obliquus based on confocal Raman microspectroscopy |
| title_sort | detection and imaging of lipids of scenedesmus obliquus based on confocal raman microspectroscopy |
| topic | Raman microspectroscopy Microalgae Lipids |
| url | http://link.springer.com/article/10.1186/s13068-017-0977-8 |
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