Selection of Formal Baseline Correction Methods in Thermal Analysis

Abstract Baseline correction is a key step in processing of thermal analysis data. Whilst this common step, techniques range from linear baselines to use high‐order polynomials. When considering formal baseline (those without physical or experimental justification), only methods should be used: with time, temperature, and extent reaction. The absence also considered. An silico study shows that the wrong can significantly impact parameters obtained kinetic modeling. four are demonstrated mass spectrometry dataset. It recommended selection method based on comparison Akaike weights.