Learn NIR spectrum interpretation: absorbance peaks, overtones, baseline correction, SNV/MSC, and spectral outlier recognition. Week 2 of the NIR Spectroscopy Fundamentals course covers Beer-Lambert Law and spectral reading in depth.
Most NIR users see a single prediction number on screen and never examine the spectrum behind it. Spectral interpretation — reading what the instrument actually measured — is the skill that separates operators who can troubleshoot from those who can only report results. The NIR Spectroscopy Fundamentals course dedicates Week 2 to Beer-Lambert Law and spectral interpretation, covering how absorbance peaks map to molecular bond vibrations in food and feed matrices.
The training covers the major absorption bands relevant to food and agriculture: moisture at 1940 nm, protein near 2100 nm, fat at 2310 nm, and starch in the 2100–2300 nm region. Students learn the difference between overtone and combination bands, why the near-infrared region produces non-linear Beer-Lambert behaviour, and how scatter correction methods — Standard Normal Variate (SNV) and Multiplicative Scatter Correction (MSC) — remove particle size and presentation geometry effects before calibration modelling.
The course sequence is deliberate: spectral interpretation in Weeks 2–4 provides the visual and conceptual foundation for understanding PLS regression in Week 5 and calibration validation in Week 6. By the time students reach the troubleshooting module in Lesson 31, they can read a spectrum to determine whether an outlier flag reflects real sample variation or a scope gap in the calibration. Enroll in the NIR Spectroscopy Fundamentals course — $99 lifetime access.