RESUMEN
Objective: In this study, an in-line near infrared spectroscopy (NIRS) rapid detection model of single-effect concentration process of ArtemisiaeAnnuae Herba(AAH) was established and the impact of absorbance to model was discussed. Methods: Nine batches of concentration process samples were collected inline and partial least square (PLS) method was applied to build its quantitative model which was used to predict an unknown batch of samples. Results: The parameters of PLS model of total acid and soluble solid content were as follows: coefficient of determination (R2) of 0.9623 and 0.9679, root mean square errors of calibration (RMSEC) of 0.7835 and 0.9488, and root mean square errors of cross-validation (RMSECV) of 0.8258 and 0.9780, respectively. Conclusion: Absorbance of concentration process samples of AAH was between 0 and 2.0 and RSEP values of total acid and soluble solid content was less than 10%. It can meet the quality requirements of production process of AAH and indicate that the effect of high absorbance (namely low tansmittance) on NIRS model of AAH can be eliminated by adding samples and using chemometrics when the absorbance is between 0.0 and 2.0.