Identification of Monoraphidium contortum as a promising species for liquid biofuel production
Abstract
In this work, 30 microalgae strains from 17 genera were investigated in regard to biomass productivity in photoautotrophic growth conditions, lipid amount, lipid quality and biomass degradability. Six strains could be identified with robust phototrophic growth properties and high biomass productivities equal or above 300 mg l(-1) day(-1). Anaerobic fermentation of the algal biomass was most efficient for the marine members of the genera Dunaliella and Navicula, while biogas production with the freshwater strains generally resulted in lower methane yields. Monoraphidium contortum was identified as promising candidate for liquid biofuel production, characterized by high biomass productivity during maximum growth (maximum increase of 896 mg dry biomass weight (DW) l(-1) day(-1)) and a promising lipid profile. Neutral lipid production was strongly induced in M. contortum by nitrogen deficient conditions and accumulated to up to 20.4±2.2% of DW.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The lipid droplet (LD) size of Monoraphidium neglectum is more similar to Chlamydomonas reinhardtii than to Phaeodactylum tricornutum, in accordance with the phylogenetic degree of relationship.
“Thus, the LD size of M. neglectum is more similar to C. reinhardtii compared to P. tricornutum which is in accordance with the phylogenetic degree of relationship3.”
From Label-free in vivo analysis of intracellular lipid droplets in the oleaginous microalga Monoraphidium neglectum by coherent Raman scattering microscopy (2016) · cites this paper as [3]
Several microalgal species, including Chlorella, Haematococcus, Dunaliella, Spirulina, Nannochloropsis, Scenedesmus, Chlamydomonas, and Monoraphidium, have been reported as promising for biodiesel through traditional lipid quantification.
“Microalgal species like Chlorella, Haemattococcus, Dunaliella , Spirulina , Nannochloropsis, Scenedesmus, Chlamydomonas and Monoraphidium have been reported as promising species for biodiesel applications through traditional lipid quantification methods [10,46,47].”
From Biomolecular transitions and lipid accumulation in green microalgae monitored by FTIR and Raman analysis (2020) · cites this paper as [46]
Cites
A SIMPLE METHOD FOR THE ISOLATION AND PURIFICATION OF TOTAL LIPIDES FROM ANIMAL TISSUES
Folch, J., Lees, M., & Stanley, G. H. S. (1957) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)64849-5 · Cited by 65,189 · see citing works
Chisti, Y. (2007) · Biotechnology Advances · doi:10.1016/j.biotechadv.2007.02.001 · Cited by 9,524 · see citing works
Microalgae for biodiesel production and other applications: A review
Mata, T. M., Martins, A. A., & Caetano, N. S. (2010) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2009.07.020 · Cited by 5,685 · see citing works
Microalgal triacylglycerols as feedstocks for biofuel production: perspectives and advances
Hu, Q., Sommerfeld, M., Jarvis, E., Ghirardi, M., Posewitz, M., Seibert, M., & Darzins, A. (2008) · The Plant Journal · doi:10.1111/j.1365-313x.2008.03492.x · Cited by 3,745 · see citing works
Rodolfi, L., Chini Zittelli, G., Bassi, N., Padovani, G., Biondi, N., Bonini, G., & Tredici, M. R. (2009) · Biotechnology and Bioengineering · doi:10.1002/bit.22033 · Cited by 2,879 · see citing works
Chen, C.-Y., Yeh, K.-L., Aisyah, R., Lee, D.-J., & Chang, J.-S. (2011) · Bioresource Technology · doi:10.1016/j.biortech.2010.06.159 · Cited by 1,860 · see citing works
Anaerobic digestion of microalgae as a necessary step to make microalgal biodiesel sustainable
Sialve, B., Bernet, N., & Bernard, O. (2009) · Biotechnology Advances · doi:10.1016/j.biotechadv.2009.03.001 · Cited by 1,187 · see citing works
The development of artificial media for marine algae
Provasoli, L., McLaughlin, J. J. A., & Droop, M. R. (1957) · Archives of Microbiology · doi:10.1007/bf00446694 · Cited by 969 · see citing works
Iverson, S. J., Lang, S. L. C., & Cooper, M. H. (2001) · Lipids · doi:10.1007/s11745-001-0843-0 · Cited by 719 · see citing works
Microalgae as substrates for fermentative biogas production in a combined biorefinery concept
Mussgnug, J. H., Классен, В., Schlüter, A., & Kruse, O. (2010) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2010.07.030 · Cited by 708 · see citing works
Self-citationLang, I., Hodač, L., Friedl, T., & Feußner, I. (2011) · BMC Plant Biology · doi:10.1186/1471-2229-11-124 · Cited by 499 · see citing works
An economic and technical evaluation of microalgal biofuels
Stephens, E., Ross, I. L., King, Z. R., Mussgnug, J. H., Kruse, O., Posten, C. H., Borowitzka, M. A., & Hankamer, B. D. (2010) · Nature Biotechnology · doi:10.1038/nbt0210-126 · Cited by 472 · see citing works
Self-citationAatola, H., Larmi, M., Sarjovaara, T., & Mikkonen, S. (2008) · SAE International Journal of Engines · doi:10.4271/2008-01-2500 · Cited by 465 · cited 3× · see citing works
“Lipids containing fatty acids are preferred compounds because they can be easily converted into renewable liquid biofuel by hydrotreating (Aatola et al., 2008) or into biodiesel via transesterification (Chisti, 2007).”
BackgroundInhibition of starch synthesis results in overproduction of lipids in Chlamydomonas reinhardtii
Li, Y., Han, D., Hu, G.-R., Sommerfeld, M. R., & Hu, Q. (2010) · Biotechnology and Bioengineering · doi:10.1002/bit.22807 · Cited by 431 · see citing works
Griffiths, M. J., van Hille, R. P., & Harrison, S. T. L. (2012) · Journal of Applied Phycology · doi:10.1007/s10811-011-9723-y · Cited by 341 · see citing works
Investigation of biomass and lipids production with Neochloris oleoabundans in photobioreactor
Pruvost, J., Vooren, G. V., Cogne, G., & Legrand, J. (2009) · Bioresource Technology · doi:10.1016/j.biortech.2009.06.004 · Cited by 325 · see citing works
Modifications of the metabolic pathways of lipid and triacylglycerol production in microalgae
Yu, W.-L., Ansari, W. S., Schoepp, N. G., Hannon, M. J., Mayfield, S. P., & Burkart, M. D. (2011) · Microbial Cell Factories · doi:10.1186/1475-2859-10-91 · Cited by 198 · see citing works
Russa, M. L., Bogen, C., Uhmeyer, A., Doebbe, A., Filippone, E., Kruse, O., & Mussgnug, J. H. (2012) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2012.04.006 · Cited by 184 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Microalgae Metabolites: A Rich Source for Food and Medicine
Sathasivam, R., Radhakrishnan, R., Hashem, A., & Abd_Allah, E. F. (2019) · Saudi Journal of Biological Sciences · doi:10.1016/j.sjbs.2017.11.003 · Cited by 872 · see citing works
Concepts and studies on lipid and pigments of microalgae: A review
D’Alessandro, E. B., & Antoniosi Filho, N. R. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.12.162 · Cited by 289 · see citing works
Bogen, C., Al-Dilaimi, A., Albersmeier, A., Wichmann, J., Grundmann, M., Rupp, O., Lauersen, K. J., Blifernez-Klassen, O., Kalinowski, J., Goesmann, A., et al. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-926 · Cited by 108 · see citing works
Self-citationGrace, C. E. E., Lakshmi, P. K., Meenakshi, S., Vaidyanathan, S., Srisudha, S., & Mary, M. B. (2020) · Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2019.117382 · Cited by 104 · see citing works
Zhang, X., Rong, J., Chen, H., He, C., & Wang, Q. (2014) · Frontiers in Energy Research · doi:10.3389/fenrg.2014.00032 · Cited by 102 · see citing works
Jaeger, D., Pilger, C., Hachmeister, H., Oberländer, E., Wördenweber, R., Wichmann, J., Mussgnug, J. H., Huser, T., & Kruse, O. (2016) · Scientific Reports · doi:10.1038/srep35340 · Cited by 47 · see citing works
Self-citationJaeger, D., Hübner, W., Huser, T., Mussgnug, J. H., & Kruse, O. (2017) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2017.03.011 · Cited by 31 · see citing works
Self-citationShan Ahamed, T., Brindhadevi, K., Krishnan, R., Phuong, T. N., Ali Alharbi, S., Chinnathambi, A., & Mathimani, T. (2022) · Fuel · doi:10.1016/j.fuel.2022.124179 · Cited by 18 · see citing works
- Authors
- Bogen, C., Klassen, V., Wichmann, J., Russa, M. L., Doebbe, A., Grundmann, M., Uronen, P., Kruse, O., & Mussgnug, J. H.
- Affiliations
- Bielefeld University (DE)
- Neste Oil (Finland) (FI)
- Corresponding author
- Mussgnug, Jan H.
- ORCID
- Kruse, Olaf
- Venue
- Bioresource Technology
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 133
- Pages
- 622-626
- ISSN
- 0960-8524 (ISSN-L)
- OpenAlex
- W2094983270
- Cited by
- 97
- References
- 18
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 7 · 2023: 4 · 2022: 8 · 2021: 10 · 2020: 8 · 2019: 9 · 2018: 8 · 2017: 9 · 2016: 9 · 2015: 7 · 2014: 10 · 2013: 2
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Bioresource Technology (publishedVersion)
- PubMed (publishedVersion)
- PUB – Publications at Bielefeld University (Bielefeld University) (submittedVersion)
- Publikationen an der Universität Bielefeld (Universität Bielefeld) (submittedVersion)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Bioenergy crop production and management
- Keywords
- Monoraphidium contortum, microalgae, liquid biofuels, microalgae productivity, lipid content, neutral lipids, nitrogen deficiency, anaerobic fermentation, biogas production, methane yield, Dunaliella, Navicula, phototrophic growth
- MeSH terms
- Fatty Acids, Fermentation, Methane, Biomass, Biofuels, Microalgae
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review