Simultaneous determination of quality parameters in yerba mate (Ilex paraguariensis) samples by application of near-infrared (NIR) spectroscopy and partial least squares (PLS)
| Autor: | Gianina B. Rossi, Valeria Antonella Lozano |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
YERBA MATE SAMPLES PLS 01 natural sciences NIR SPECTROSCOPY Chemometrics purl.org/becyt/ford/1 [https] 0404 agricultural biotechnology food 010608 biotechnology Yerba-mate Partial least squares regression QUALITY CONTROL purl.org/becyt/ford/1.4 [https] Spectroscopy Mathematics Detection limit NON-DESTRUCTIVE FOOD ANALYSIS Chromatography Moisture Near-infrared spectroscopy Ciencias Químicas Regression analysis 04 agricultural and veterinary sciences 040401 food science food.food Química Analítica CIENCIAS NATURALES Y EXACTAS Food Science |
| Zdroj: | CONICET Digital (CONICET) Consejo Nacional de Investigaciones Científicas y Técnicas instacron:CONICET |
| Popis: | A simple, fast and eco-friendly methodology to determine quality parameters, such as moisture, total ashes and caffeine content, in yerba mate samples was developed using near-infrared (NIR) spectroscopy and chemometrics. The NIR spectra of the yerba mate samples were measured directly on the product contained in the packages, thus avoiding the need of previous pretreatments. In the present study, NIR spectroscopy was used combined with chemometric regression methods based on partial least squares (PLS) algorithm. Performance of the regression models was adequate with very good statistical results, the correlation coefficients (R2) were above 0.90 with a root mean square error of prediction (RMSEP) lower than 0.17% for the three quality control parameters studied. Besides, the quality of the proposed methodology was also evidenced on the basis of the relative error of prediction (REP), which was less than 6.97% in all cases, and the limit of detection (LOD), which ranged from 0.72 to 0.80% for moisture, from 0.74 to 0.76% for total ashes, and from 0.22 to 0.25% for caffeine. Overall, the results demonstrated that NIR spectroscopy with PLS analysis can be successfully applied as a rapid routine method to determine parameters of quality control in yerba mate samples. Fil: Rossi, Gianina B.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina Fil: Lozano, Valeria Antonella. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina |
| Databáze: | OpenAIRE |
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