Dynamic prediction models for alkaloid content using NIR technology for the study and online analysis of parching in Areca Seed

► Dynamic prediction models for contents of arecoline, arecaidine and guvacine were developed by NIR for online analysis of the Areca Seed parching process. ► An online-type and non-contact temperature measurement system invented by us could control the temperature in the parching process. ► The time-temperature-content-drug efficacy dynamic law was analyzed. ► On the above foundation, the product quality can be monitored online to get the best quality.