Carbon Analysis of Blue-Green Algae Suspensions
Applications | 2017 | ShimadzuInstrumentation
Eutrophication from urban and agricultural runoff often triggers cyanobacterial (blue-green algae) blooms in lakes and ponds. These blooms pose health risks due to potential toxins, degrade water quality, and disrupt aquatic ecosystems. Monitoring organic carbon in algal suspensions offers a quantitative indicator of bloom intensity and guides mitigation strategies.
This application note demonstrates the measurement of total organic carbon (TOC) in blue-green algae suspensions using Shimadzu’s TOC-L analyzer and the SSM-5000A solid sample combustion unit. Objectives include:
Samples were collected from lake water containing cyanobacterial blooms and prepared as follows:
The combined use of Shimadzu’s TOC-L analyzer and SSM-5000A enables reliable determination of organic carbon in blue-green algae suspensions. Both diluted and direct solid sample methods deliver consistent results, offering robust tools for environmental monitoring of eutrophication and cyanobacterial blooms.
TOC
IndustriesEnvironmental
ManufacturerShimadzu
Summary
Importance of the Topic
Eutrophication from urban and agricultural runoff often triggers cyanobacterial (blue-green algae) blooms in lakes and ponds. These blooms pose health risks due to potential toxins, degrade water quality, and disrupt aquatic ecosystems. Monitoring organic carbon in algal suspensions offers a quantitative indicator of bloom intensity and guides mitigation strategies.
Study Objectives and Overview
This application note demonstrates the measurement of total organic carbon (TOC) in blue-green algae suspensions using Shimadzu’s TOC-L analyzer and the SSM-5000A solid sample combustion unit. Objectives include:
- Quantify carbon concentration in diluted and undiluted algae samples.
- Validate two measurement approaches: liquid TOC analysis and solid sample combustion.
- Assess method suitability for high-turbidity algal suspensions.
Methodology and Instrumentation
Samples were collected from lake water containing cyanobacterial blooms and prepared as follows:
- Diluted Sample: Stock suspension was diluted 1:100 and homogenized ultrasonically for two minutes to break aggregates.
- Stock Sample: Undiluted suspension was placed directly on a ceramic fiber in the solid sample combustion unit.
Instrumentation
- Shimadzu TOC-LCPH Total Organic Carbon Analyzer with catalytic oxidation (900 °C furnace, TC standard catalyst).
- SSM-5000A Solid Sample Combustion Unit for direct analysis of undiluted samples.
- Calibration: Single-point using 100 mgC/L potassium hydrogen phthalate solution for liquid samples and 1% glucose solution for solid samples.
Results and Discussion
- Diluted sample measured by TOC-L yielded 109.7 mgC/L, corresponding to a calculated stock solution concentration of 1.097% C.
- Direct solid sample analysis produced a carbon concentration of 1.075% C in the stock suspension.
- Close agreement between the two methods confirms the reliability of the dilution-homogenization approach and the solid combustion measurement.
Benefits and Practical Applications
- Faster and more accurate than traditional dry weight gravimetric methods for turbid samples.
- Minimal sample preparation: dilution and ultrasonic homogenization suffice.
- Suitable for routine water quality monitoring to track bloom development and inform management decisions.
Future Trends and Potential Uses
- Integration of online TOC monitoring for real-time algae bloom detection.
- Coupling TOC data with remote sensing and machine learning models for predictive water quality management.
- Expansion to other environmental matrices such as sediments or biofilms.
Conclusion
The combined use of Shimadzu’s TOC-L analyzer and SSM-5000A enables reliable determination of organic carbon in blue-green algae suspensions. Both diluted and direct solid sample methods deliver consistent results, offering robust tools for environmental monitoring of eutrophication and cyanobacterial blooms.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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