Spectroscopy and Statistics – A Chemometrics Story
Imagine you are a research chemist at a large chemical company. One day, a quality control (QC) issue lands on your desk: your company’s flagship product is affected by random and intermittent contamination. While process engineers are urgently searching the plant for the source, a fast and reliable method for detecting contamination in every batch must be developed to ensure QC compliance, and it needs to be implemented quickly!
Does this scenario sound familiar?
If so, Spectroscopy and Statistics – A Chemometrics Story by Stephen Dearden is well worth a read. In this blog article, the author illustrates how chemometrics bridges the gap between raw spectra data and actionable chemical insight. Using the PEAXACT Desktop App, the fictional QC challenge is resolved through a clear, step-by-step workflow.
The application example highlights the strengths of Spectral Hard Modeling for quantitative spectra assessment and provides practical insights into method development, validation, and interpretation of results.
An entertaining and relatable glimpse into routine process analytics.