Abstract

Microalgae are promising candidates for biofuel production due to their high lipid content. To facilitate utilization of the microalgae for biofuel, rapid quantification of the lipid contents in microalgae is necessary. However, conventional methods based on the chemical extraction of lipids require a time-consuming destructive extraction process. Here, we demonstrate label-free, non-invasive, rapid quantification of the lipid contents in individual micro-algal cells measuring the three-dimensional refractive index tomograms. We measure three-dimensional refractive index distributions within Nannochloropsis oculata cells and find that lipid droplets are identifiable in tomograms by their high refractive index. In addition, we alter N. oculata under nitrogen deficiency by measuring the volume, lipid weight, and dry cell weight of individual cells. Characterization of individual cells allows correlative analysis between the lipid content and size of individual cells.

Details

Title
Label-free non-invasive quantitative measurement of lipid contents in individual microalgal cells using refractive index tomography
Author
Jung, JaeHwang 1 ; Seong-Joo, Hong 2 ; Han-Byeol, Kim 2 ; Kim, Geon 1 ; Lee, Moosung 1 ; Shin, Seungwoo 1 ; Lee, SangYun 1 ; Dong-Jin, Kim 3 ; Lee, Choul-Gyun 2 ; Park, YongKeun 4 

 Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea 
 National Marine Bioenergy Research Center, Department of Biological Engineering, Inha University, Incheon, Republic of Korea 
 Nelson Mandela African Institution of Science and Technology, School of Life Science and Bioengineering,, Arusha, Tanzania; Bioneer Corporation, Daejeon, Republic of Korea 
 Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea; Tomocube, Daejeon, Republic of Korea 
Pages
1-10
Publication year
2018
Publication date
Apr 2018
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2030840473
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.