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A Ten-Minute Bioassay to Test Metal Toxicity with the Freshwater Flagellate . | LitMetric

AI Article Synopsis

  • Traditional chemical analysis of water struggles to detect some toxicants due to constraints like time and cost, making bioassays a valuable alternative for assessing pollution levels.
  • The study focused on a flagellate green alga, which is ideal for toxicity tests because of its quick growth and responsiveness to environmental changes.
  • The findings showed that certain heavy metals, particularly cadmium, copper, arsenic, and mercury, significantly impacted the algae's velocity and alignment, suggesting that these parameters can be effective biomarkers for assessing metal toxicity in aquatic environments.

Article Abstract

A chemical analysis of water quality cannot detect some toxicants due to time constraints, high costs, and limited interactions for detection. Bioassays would offer a complementary means to assess pollution levels in water. is a flagellate green alga and an excellent system for toxicity testing thanks to its ease of culture, rapid growth, and quick response to environmental stresses. Herein, we examined the sensitivity of to seven heavy metals by analyzing six end-point parameters: motility, velocity, cell compactness, upward swimming, -value, and alignment. Notably, the velocity of was most sensitive to cadmium (96.28 mg·L), copper (6.51 mg·L), manganese (103.28 mg·L), lead (78.04 mg·L), and zinc (101.90 mg·L), while -values were most sensitive to arsenic (12.84 mg·L) and mercury (4.26 mg·L). In this study, velocity and -values are presented as useful biomarkers for the assessment of metal toxicity in . The metals As, Cd, Cu, and Pb were suitable for this test. The advantages of the ecotoxicity test are its rapidity: It takes 10 min to obtain results, as opposed to the typical 3-4 d of exposure time with intensive labor. Moreover, this test can be performed at room temperature under dark conditions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687118PMC
http://dx.doi.org/10.3390/biology11111618DOI Listing

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