Cited by 64Algal biology and biofuel productionAquatic Ecosystems and Phytoplankton DynamicsWastewater Treatment and Reuse

Removal of Nutrients and Pesticides from Agricultural Runoff Using Microalgae and Cyanobacteria

Open access
Castellanos-Estupiñan, Miguel, Carrillo-Botello, Astrid, Rozo-Granados, Linell, Becerra-Moreno, Dorance, García-Martínez, Janet, Urbina-Suarez, Néstor, López-Barrera, Germán, Barajas-Solano, Andrés +2 more·2022·Water

Abstract

The use of pesticides in agriculture has ensured the production of different crops. However, pesticides have become an emerging public health problem for Latin American countries due to their excessive use, inadequate application, toxic characteristics, and minimal residue control. The current project evaluates the ability of two strains of algae (Chlorella and Scenedesmus sp.) and one cyanobacteria (Hapalosyphon sp.) to remove excess pesticides and other nutrients present in runoff water from rice production. Different concentrations of wastewater and carbon sources (Na2CO3 and NaHCO3) were evaluated. According to the results, all three strains can be grown in wastewater without dilution (100%), with a biomass concentration comparable to a synthetic medium. All three strains significantly reduced the concentration of NO3 and PO4 (95 and 85%, respectively), with no difference between Na2CO3 or NaHCO3. Finally, Chlorella sp. obtained the highest removal efficiency of the pesticide (Chlorpyrifos), followed by Scenedesmus and Hapalosyphon sp. (100, 75, and 50%, respectively). This work shows that it is possible to use this type of waste as an alternative source of nutrients to obtain biomass and metabolites of interest, such as lipids and carbohydrates, to produce biofuels.

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 · 10.3390/w14040558

Cites

52 of 52 references verified0 citation errors · 0 not checkable

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?

  • Chlorella sp. and Spirulina (Arthrospira) sp. can treat many types of wastewaters, including municipal, aquaculture, swine, olive oil milling, distillery, confectionary, brine tapioca, tofu, rubber, paper mill, dye wastewaters, agricultural run-offs, and groundwaters.

    “Many examples of wastewater treatment by Chlorella sp. and Spirulina (Arthrospira) sp. have been published, as these can treat many types of wastewaters, including municipal, aquaculture, swine, olive oil milling, distillery, confectionary, brine tapioca, tofu, rubber, paper mill, dye wastewaters, agricultural run-offs, and groundwaters [203,209,210,211,212].”

    From Emerging Applications of Chlorella sp. and Spirulina (Arthrospira) sp. (2023) · cites this paper as [211]

    The Conclusions (page unavailable) report that Chlorella sp. grew in agricultural runoff and removed nutrients; the Introduction also discusses microalgae treating domestic, industrial, and agricultural wastewater. The paper does not establish the claimed range of specific wastewater types for Chlorella and Spirulina (Arthrospira); its studied strains did not include Spirulina. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

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

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

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Gothandam, K.M., Ranjan, S., Dasgupta, N., Lichtfouse, E., Eds.; Springer International Publishing: Cham, Switzerland, 2020; Volume 1, pp. 71-86. [CrossRef] · DOI

Cited by

Sorted by citations

Authors
Castellanos-Estupiñan, M., Carrillo-Botello, A., Rozo-Granados, L., Becerra-Moreno, D., García-Martínez, J., Urbina-Suarez, N., López-Barrera, G., Barajas-Solano, A., Bryan, S., & Zuorro, A.
Affiliations
  • Universidad Francisco de Paula Santander (CO)
  • Department of Environmental Sciences, Universidad Francisco de Paula Santander, Av. Gran Colombia, No. 12E-96, Cucuta 540003, Colombia
  • University of Nottingham (GB)
  • Sapienza University of Rome (IT)
Corresponding author
Zuorro, Antonio
Venue
Water
Publisher
MDPI AG
Published
2022-02-12
Volume
14
Issue
4
Pages
558
ISSN
2073-4441 (ISSN-L)
OpenAlex
W4212885732
Cited by
64
References
52
Citations by year
2026: 13 · 2025: 20 · 2024: 18 · 2023: 11 · 2022: 2
FWCI
2.30
Type
journal article
Language
en
Open access
Locations
  • Water (publishedVersion, cc-by)
  • Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
  • IRIS Research product catalog (Sapienza University of Rome) (submittedVersion, cc-by)
  • Repositorio Universidad Francisco de Paula Santander (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Ministerio de Ciencia, Tecnología e Innovación
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
  • Physical Sciences › Environmental Science › Environmental Chemistry › Aquatic Ecosystems and Phytoplankton Dynamics
  • Physical Sciences › Environmental Science › Waste Management and Disposal › Wastewater Treatment and Reuse
Keywords
agricultural runoff, pesticide removal, nutrient removal, microalgae, cyanobacteria, Chlorella, Scenedesmus, chlorpyrifos, nitrate removal, phosphate removal, sodium carbonate, sodium bicarbonate, biofuel feedstock, water reuse

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