Multivariate calibration and moisture control in yerba mate by near infrared spectroscopy

Acta Scientiarum: Technology

Patrício Peralta-Zamora¹  Noemi Nagata¹  Milene Oliveira Pereira Bicudo¹  Gabrieli Alves de Oliveira¹  Rosemary Hoffmann Ribani¹  Larize Mazur¹ 

[1] Universidade Federal do Paraná;

关键词: NIR;    online analysis;    PLSR;   

DOI  :  10.4025/actascitechnol.v36i2.17777

来源: DOAJ

【 摘 要 】

This work describes the development of a multivariate model based on near infrared reflectance spectroscopy (NIR) and partial least squares regression for the prediction of the moisture content in yerba mate samples. The multivariate model based on derivatized and multiplicative sign correction (MSC) spectral signals (4000-8500 cm-1) was elaborated with 3 latent variables, allowing the fast evaluation of the moisture content with average prediction errors of about 2.5%. The minimal manipulation of the samples permits a high analytical speed that facilitates the implementation of quality control operations.

【 授权许可】

Unknown