School of Analytical Chemistry

Advanced Analytical Chemistry

Measurement uncertainty, peak integration, data integrity, forced degradation, and stability-indicating method concepts for laboratory research context.

5 lessons

Learning Objectives

  • Interpret measurement uncertainty in analytical reporting
  • Apply chromatographic peak-integration principles
  • Explain analytical data-integrity expectations
  • Relate forced-degradation and stability-indicating method design

Lesson order

  1. 6 of 10 · 36–44 min · Intermediate–Advanced

    Measurement Uncertainty

    Learn how laboratories identify, estimate, combine, and report sources of uncertainty so analytical results can be interpreted with scientifically justified confidence.

  2. 7 of 10 · 34–42 min · Intermediate

    Chromatographic Peak Integration

    Understand how chromatography software defines peak boundaries, estimates baselines, calculates areas, manages reintegration, and converts detector signals into quantitative results.

  3. 8 of 10 · 38–46 min · Intermediate

    Analytical Data Integrity

    Learn how ALCOA+ principles, raw data, metadata, audit trails, access controls, review, backup, and governance preserve trustworthy analytical evidence throughout its lifecycle.

  4. 9 of 10 · 40–48 min · Advanced

    Forced Degradation Studies

    Understand how controlled thermal, oxidative, hydrolytic, photolytic, humidity, and mechanical stress studies reveal degradation pathways and support analytical development.

  5. 10 of 10 · 40–48 min · Advanced

    Stability-Indicating Methods

    Learn how analytical procedures are developed and validated to distinguish intact peptides from degradation products, impurities, matrix components, and related substances throughout the product lifecycle.