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FT-NIR: a tool for rapid intracellular lipid quantification in oleaginous yeasts
BACKGROUND: Lipid extraction for quantification of fat content in oleaginous yeasts often requires strong acids and harmful organic solvents; it is laborious and time-consuming. Therefore, in most cases just endpoint measurements of lipid accumulation are performed and kinetics of intracellular lipi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6599325/ https://www.ncbi.nlm.nih.gov/pubmed/31297157 http://dx.doi.org/10.1186/s13068-019-1513-9 |
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author | Chmielarz, Mikołaj Sampels, Sabine Blomqvist, Johanna Brandenburg, Jule Wende, Frida Sandgren, Mats Passoth, Volkmar |
author_facet | Chmielarz, Mikołaj Sampels, Sabine Blomqvist, Johanna Brandenburg, Jule Wende, Frida Sandgren, Mats Passoth, Volkmar |
author_sort | Chmielarz, Mikołaj |
collection | PubMed |
description | BACKGROUND: Lipid extraction for quantification of fat content in oleaginous yeasts often requires strong acids and harmful organic solvents; it is laborious and time-consuming. Therefore, in most cases just endpoint measurements of lipid accumulation are performed and kinetics of intracellular lipid accumulation is difficult to follow. To address this, we created a prediction model using Fourier-transform near-infrared (FT-NIR) spectroscopy. This method allows to measure lipid content in yeast. METHODS: The FT-NIR calibration sets were constructed from spectra of freeze-dried cells of the oleaginous yeasts Rhodotorula toruloides CBS 14, Lipomyces starkeyi CBS 1807 and Yarrowia lipolytica CBS 6114. The yeast cells were obtained from different cultivation conditions. Freeze-dried cell pellets were scanned using FT-NIR in the Multi Purpose Analyser (MPA) from Bruker. The obtained spectra were assigned corresponding to total fat content, obtained from lipid extraction using a modified Folch method. Quantification models using partial least squares (PLS) regression were built, and the calibration sets were validated on independently cultivated samples. The R. toruloides model was additionally tested on Rhodotorula babjevae DBVPG 8058 and Rhodotorula glutinis CBS 2387. RESULTS: The R(2) of the FT-NIR model for R. toruloides was 98%, and the root mean square error of cross-validation (RMSECV) was 1.53. The model was validated using a separate set of R. toruloides samples with a root mean square error of prediction (RMSEP) of 3.21. The R(2) of the Lipomyces model was 96%, with RMSECV 2.4 and RMSEP 3.8. The R(2) of the mixed model, including all tested yeast strains, was 90.5%, with RMSECV 2.76 and RMSEP 3.22, respectively. The models were verified by predicting the total fat content in newly cultivated and freeze-dried samples. Additionally, the kinetics of lipid accumulation of a culture were followed and compared with standard lipid extraction methods. CONCLUSIONS: Using FT-NIR spectroscopy, we have developed a faster, less laborious and non-destructive quantification of yeast intracellular lipid content compared to methods using lipid extraction. |
format | Online Article Text |
id | pubmed-6599325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65993252019-07-11 FT-NIR: a tool for rapid intracellular lipid quantification in oleaginous yeasts Chmielarz, Mikołaj Sampels, Sabine Blomqvist, Johanna Brandenburg, Jule Wende, Frida Sandgren, Mats Passoth, Volkmar Biotechnol Biofuels Methodology BACKGROUND: Lipid extraction for quantification of fat content in oleaginous yeasts often requires strong acids and harmful organic solvents; it is laborious and time-consuming. Therefore, in most cases just endpoint measurements of lipid accumulation are performed and kinetics of intracellular lipid accumulation is difficult to follow. To address this, we created a prediction model using Fourier-transform near-infrared (FT-NIR) spectroscopy. This method allows to measure lipid content in yeast. METHODS: The FT-NIR calibration sets were constructed from spectra of freeze-dried cells of the oleaginous yeasts Rhodotorula toruloides CBS 14, Lipomyces starkeyi CBS 1807 and Yarrowia lipolytica CBS 6114. The yeast cells were obtained from different cultivation conditions. Freeze-dried cell pellets were scanned using FT-NIR in the Multi Purpose Analyser (MPA) from Bruker. The obtained spectra were assigned corresponding to total fat content, obtained from lipid extraction using a modified Folch method. Quantification models using partial least squares (PLS) regression were built, and the calibration sets were validated on independently cultivated samples. The R. toruloides model was additionally tested on Rhodotorula babjevae DBVPG 8058 and Rhodotorula glutinis CBS 2387. RESULTS: The R(2) of the FT-NIR model for R. toruloides was 98%, and the root mean square error of cross-validation (RMSECV) was 1.53. The model was validated using a separate set of R. toruloides samples with a root mean square error of prediction (RMSEP) of 3.21. The R(2) of the Lipomyces model was 96%, with RMSECV 2.4 and RMSEP 3.8. The R(2) of the mixed model, including all tested yeast strains, was 90.5%, with RMSECV 2.76 and RMSEP 3.22, respectively. The models were verified by predicting the total fat content in newly cultivated and freeze-dried samples. Additionally, the kinetics of lipid accumulation of a culture were followed and compared with standard lipid extraction methods. CONCLUSIONS: Using FT-NIR spectroscopy, we have developed a faster, less laborious and non-destructive quantification of yeast intracellular lipid content compared to methods using lipid extraction. BioMed Central 2019-06-29 /pmc/articles/PMC6599325/ /pubmed/31297157 http://dx.doi.org/10.1186/s13068-019-1513-9 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Methodology Chmielarz, Mikołaj Sampels, Sabine Blomqvist, Johanna Brandenburg, Jule Wende, Frida Sandgren, Mats Passoth, Volkmar FT-NIR: a tool for rapid intracellular lipid quantification in oleaginous yeasts |
title | FT-NIR: a tool for rapid intracellular lipid quantification in oleaginous yeasts |
title_full | FT-NIR: a tool for rapid intracellular lipid quantification in oleaginous yeasts |
title_fullStr | FT-NIR: a tool for rapid intracellular lipid quantification in oleaginous yeasts |
title_full_unstemmed | FT-NIR: a tool for rapid intracellular lipid quantification in oleaginous yeasts |
title_short | FT-NIR: a tool for rapid intracellular lipid quantification in oleaginous yeasts |
title_sort | ft-nir: a tool for rapid intracellular lipid quantification in oleaginous yeasts |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6599325/ https://www.ncbi.nlm.nih.gov/pubmed/31297157 http://dx.doi.org/10.1186/s13068-019-1513-9 |
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