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Cited by 228

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Catalytic pyrolysis of microalgae for production of aromatics and ammonia

Wang, Kaige, Brown, Robert C.·2013·Green Chemistry

Abstract

We report an economically- and environmentally-promising microalgae biorefinery pathway, which uses catalytic pyrolysis with HZSM-5 catalyst to convert whole microalgae into aromatic hydrocarbons. This process produces valuable petrochemicals and ammonia, the latter of which can be recycled as a fertilizer for microalgae cultivation. We tested samples of lipid-lean green microalgae, Chlorella vulgaris, at various reaction temperatures and catalyst loads. We also tested samples of lignocellulosic biomass, red oak, for comparison. Our results demonstrated that catalytic pyrolysis of microalgae produces better aromatic yields and better aromatic distributions than catalytic pyrolysis of red oak. The maximum carbon yield of aromatics from microalgae was 24%, while that from red oak was 16.7%. Moreover, catalytic pyrolysis of microalgae produced more monocyclic aromatics than were produced by catalytic pyrolysis of lignocellulosic biomass. Microalgae present many advantages as a feedstock for biofuel. With the promise catalytic pyrolysis offers for solving some of microalgae's disadvantages, microalgae biorefineries move one step closer to economic and environmental feasibility.

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Metadata

Authors
Wang, K., & Brown, R. C.
Venue
Green Chemistry
Published
2013
Volume
15
Issue
3
Pages
675
ISSN
  • 1463-9262 (ISSN-L)
  • 1463-9270
OpenAlex
W2101648696
Cited by
228
References
5
FWCI
10.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Catalytic pyrolysis of microalgae for production of aromatics and ammonia. https://app.cochat.ai/papers/10.1039/c3gc00031a
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Wang, K., & Brown, R. C. (2013). Catalytic pyrolysis of microalgae for production of aromatics and ammonia. Green Chemistry. https://doi.org/10.1039/c3gc00031a

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.