Microcystin Detection Method Comparison in Seven Western Michigan Lakes

About 200 water samples from seven drowned river mouth lakes in western Michigan, USA, were analyzed to compare three microcystin detection methods. The dataset, authored by Chen Cheng and shared under a CC-BY-4.0 license, reveals that ELISA and PPIA overestimated MC-LR concentrations, with errors linked to cyanobacterial composition and lake trophic status. Results support a tiered analytical framework for toxin monitoring.

Use Cases

• Compare the performance of ELISA, PPIA, and HPLC/MS for microcystin quantification based on the described method comparison.
• Analyze the relationship between measurement error and cyanobacterial community structure based on the correlation with Microcystis dominance mentioned in the description.
• Investigate how lake trophic status influences toxin detection accuracy based on the described strong correlation.
• Evaluate the contribution of specific MC congeners like MC-RR and MC-YR to assay error based on the reported contribution rates.

Strengths

• Results are based on about 200 samples from seven distinct lakes, providing a multi-site comparison.
• Analysis includes specific contribution rates for MC congeners (e.g., MC-RR at 60% for ELISA error).
• Findings show strong statistical correlations (p < 0.001) with environmental factors like bloom intensity.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small at 84.2 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Water samples were analyzed using ELISA, PPIA, and HPLC/MS methods.

Freshness

Last updated 2026-05-21 05:34:57; freshness should be verified.

Geography

Seven drowned river mouth lakes in western Michigan, USA.