Cited by 242Algal biology and biofuel productionCO2 Sequestration and Geologic InteractionsCarbon Dioxide Capture Technologies

Enhanced algal CO2 sequestration through calcite deposition by Chlorella sp. and Spirulina platensis in a mini-raceway pond

Ramanan, Rishiram, Kannan, Krishnamurthi, Deshkar, Ashok, Yadav, Raju, Chakrabarti, Tapan·2010·Bioresource Technology

Abstract

Biological CO(2) sequestration using algal reactors is one of the most promising and environmentally benign technologies to sequester CO(2). This research study was taken up to alleviate certain limitations associated with the technology such as low CO(2) sequestration efficiency and low biomass yields. The study demonstrates an increase in CO(2) sequestration efficiency by maneuvering chemically aided biological sequestration of CO(2). Chlorella sp. and Spirulina platensis showed 46% and 39% mean fixation efficiency, respectively, at input CO(2) concentration of 10%. The effect of acetazolamide, a potent carbonic anhydrase inhibitor, on CO(2) sequestration efficiency was studied to demonstrate the role of carbonic anhydrase in calcite deposition. Calcite formed by both species was characterized by scanning electron microscopy coupled electron dispersive spectroscopy and X-ray diffraction. The overall scheme of calcite deposition coupled CO(2) fixation with commercially utilizable biomass as a product seems a viable option in the efforts to sequester increasing CO(2) emissions.

Integrity signals

Registry

Crossref · 10.1016/j.biortech.2009.10.061

Cites

32 of 32 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • In a raceway pond experiment, Chlorella sp. and Spirulina platensis achieved 46% and 39% mean CO2 fixation efficiency using an input CO2 concentration of 10%, similar to flue gas.

    “For instance, in a raceway pond experiment Chlorella sp. and Spirulina platensis achieved 46% and 39% mean CO 2 fixation efficiency using an input CO 2 concentration of 10%, which is similar to the composition of flue gas [126].”

    From Strategizing carbon-neutral mines: A case for pilot projects (2014) · cites this paper as [126]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ramanan, R., Kannan, K., Deshkar, A., Yadav, R., & Chakrabarti, T.
Affiliations
National Environmental Engineering Research Institute (IN)
Venue
Bioresource Technology
Publisher
Elsevier BV
Published
2010-04
Volume
101
Issue
8
Pages
2616-2622
ISSN
0960-8524 (ISSN-L)
OpenAlex
W2077460085
Cited by
242
References
32
Citations by year
2026: 7 · 2025: 13 · 2024: 8 · 2023: 15 · 2022: 22 · 2021: 21 · 2020: 19 · 2019: 23 · 2018: 19 · 2017: 12 · 2016: 23 · 2015: 11 · 2014: 17 · 2013: 12 · 2012: 9
FWCI
3.12
Type
journal article
Language
en
Open access
closed
Locations
  • Bioresource Technology (publishedVersion)
  • PubMed (publishedVersion)
Funders
University Grants Commission
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
  • Physical Sciences › Environmental Science › Environmental Engineering › CO2 Sequestration and Geologic Interactions
  • Physical Sciences › Engineering › Mechanical Engineering › Carbon Dioxide Capture Technologies
Keywords
calcite deposition, Chlorella, Spirulina platensis, acetazolamide, carbonic anhydrase inhibition, raceway ponds, microalgae cultivation, CO2 capture
MeSH terms
Acetazolamide, Calcium Carbonate, Carbon Dioxide, Carbonic Anhydrases, Chlorella, Microscopy, Electron, Scanning, Spectrum Analysis, X-Ray Diffraction, Spirulina, Global Warming

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