Cited by 276Algal biology and biofuel productionAquaculture Nutrition and GrowthAnimal Nutrition and Physiology

Dual potential of microalgae as a sustainable biofuel feedstock and animal feed

Open access
Lum, Krystal K, Kim, Jonggun, Lei, Xin Gen·2013·Journal of Animal Science and Biotechnology

Abstract

The rise in global population has led to explorations of alternative sources of energy and food. Because corn and soybean are staple food crops for humans, their common use as the main source of dietary energy and protein for food-producing animals directly competes with their allocation for human consumption. Alternatively, de-fatted marine microalgal biomass generated from the potential biofuel production may be a viable replacement of corn and soybean meal due to their high levels of protein, relatively well-balanced amino acid profiles, and rich contents of minerals and vitamins, along with unique bioactive compounds. Although the full-fatted (intact) microalgae represent the main source of omega-3 (n-3) polyunsaturated fatty acids including docohexaenoic acid (DHA) and eicosapentaenoic acid (EPA), the de-fatted microalgal biomass may still contain good amounts of these components for enriching DHA/EPA in eggs, meats, and milk. This review is written to highlight the necessity and potential of using the de-fatted microalgal biomass as a new generation of animal feed in helping address the global energy, food, and environmental issues. Nutritional feasibility and limitation of the biomass as the new feed ingredient for simple-stomached species are elaborated. Potential applications of the biomass for generating value-added animal products are also explored.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/2049-1891-4-53

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 75 · Cited by 276

Authors
Lum, K. K., Kim, J., & Lei, X. G.
Affiliations
Cornell University (US)
Corresponding author
Lei, Xin Gen
Venue
Journal of Animal Science and Biotechnology
Published
2013-12
Volume
4
Issue
1
Pages
53-53
ISSN
  • 1674-9782 (ISSN-L)
  • 2049-1891
OpenAlex
W2108688321
Cited by
276
References
75
Citations by year
2026: 10 · 2025: 22 · 2024: 28 · 2023: 27 · 2022: 26 · 2021: 35 · 2020: 33 · 2019: 29 · 2018: 15 · 2017: 13 · 2016: 16 · 2015: 18 · 2014: 4
FWCI
4.61
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • U.S. Department of Energy
  • U.S. Department of Agriculture
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
  • Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Aquaculture Nutrition and Growth
  • Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Nutrition and Physiology
Keywords
microalgae, biofuel feedstock, animal feed, omega-3 fatty acids, docosahexaenoic acid, eicosapentaenoic acid, feed protein, amino acid composition, bioactive compounds, food-energy competition

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