Full course coming soon

Measurement Workflows for Environmental and Material Science Labs

7 chapters · 29 lessons

1. 1. Sampling Design and Contamination Control

   4 lessons

   Build sampling protocols that minimize bias and document contamination sources before analysis begins.

2. 2. Sample Preparation Tradeoffs and Validation

   4 lessons

   Choose and validate preparation methods that concentrate target materials without introducing artifacts or loss.

3. 3. Imaging and Spectroscopy for Material Identification

   5 lessons

   Combine visual and chemical analysis to classify particles and understand measurement limits.

4. 4. Automated Classification and Human Review Loops

   4 lessons

   Integrate machine learning tools while maintaining expert oversight and transparent decision rules.

5. 5. Quantification, Uncertainty, and Reporting Standards

   4 lessons

   Turn raw counts and spectra into defensible data with documented uncertainty and clear thresholds.

6. 6. Quality Assurance and Inter-Laboratory Comparisons

   4 lessons

   Implement QA practices that ensure your results can be compared, audited, and reproduced by other teams.

7. 7. Real-World Workflow Design and Case Studies

   4 lessons

   Apply workflow principles to water testing, material shedding studies, and regulatory compliance scenarios.