A Simple and Rapid Algal Assay Kit to Assess Toxicity of Heavy Metal-Contaminated Water
Abstract
This study presents a novel algal-based toxicity test suitable for simple and rapid assessment of heavy metal (Hg2+, Cr6+, Cd2+, Pb2+, or As3+)-contaminated water. A closed-system kit-type algal assay was developed using Chlorella vulgaris. Toxicity was assessed by oxygen evolution in the gaseous phase of the assay kits, which was measured via a needle-type oxygen sensor. Initial cell density, light intensity, and exposure time that enabled favorable test performance for the algal assay kits were 103 cells/mL, 250 μmol m-2s-1, and 18 h, respectively. Results from the heavy metal toxicity tests demonstrate that Hg2+, Cr6+, Cd2+, and Pb2+ are more toxic in inhibiting algal photosynthetic activity than As3+. The 18 h half-maximum effective concentrations (EC50) for Hg2+, Cr6+, Cd2+, Pb2+, and As3+ were determined to be 31.3 ± 0.5, 179.6 ± 7.5, 301.3 ± 6.1, 476.1 ± 10.5, and 2184.1 ± 31.1 μg/L, respectively. A strong correlation between oxygen concentrations in the headspace of the assay kits and chlorophyll a production indicates that oxygen evolution in the gaseous phase is able to represent algal photosynthetic activity and serve as the end-point in algal toxicity tests. High test sensitivity and reproducibility as well as an easy test protocol and rapid processing time make the algal assay kit a suitable tool for simple and rapid toxicity testing of heavy metal-contaminated water.
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 measurement of mercury content in algae food has evolved from original chemical methods to rapid determination methods, including a rapid detection kit for heavy metal-polluted water and a rapid method for mercury in spirulina health food.
“In terms of algal food safety testing technology, the measurement of mercury content in algae food from the original chemical method to the present rapid determination, for example, a simple and rapid detection kit for the toxicity of heavy metal-polluted water [96] and a method for the rapid determination of mercury content in spirulina health food, were established (Table 2).”
From Current Status and Future Trends in Removal, Control, and Mitigation of Algae Food Safety Risks for Human Consumption (2022) · cites this paper as [96]
The citation lists haven’t been fetched yet
References 87 · Cited by 30
- Authors
- Eom, H., Park, M., Jang, A., Kim, S., & Oh, S.-E.
- Affiliations
- Kangwon National University (KR)
- Sungkyunkwan University (KR)
- Corresponding author
- Oh, Sang-Eun
- Venue
- Environmental Pollution
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 269
- Pages
- 116135
- ISSN
- 0269-7491 (ISSN-L)
- OpenAlex
- W3110017545
- Cited by
- 30
- References
- 87
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 5 · 2023: 6 · 2022: 8 · 2021: 2
- FWCI
- 1.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Environmental Pollution (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministry of Environment
- Ministry of Education
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Environmental Toxicology and Ecotoxicology
- Physical Sciences › Environmental Science › Water Science and Technology › Heavy Metal Pollution Remediation
- Physical Sciences › Environmental Science › Water Science and Technology › Environmental and Analytical Chemistry Studies
- Keywords
- heavy metal contamination, Chlorella vulgaris, oxygen evolution reaction, headspace gas analysis, photosynthesis inhibition, mercury, hexavalent chromium, cadmium, lead, arsenic, EC50, contaminated water
- MeSH terms
- Chlorophyll A, Water, Reproducibility of Results, Metals, Heavy, Chlorella vulgaris
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