Simultaneous metal determination in artisanal cachaça by using voltammetry and multivariate calibration
| Autor: | Romário Junior Ferreira, Thalles Ramon Rosa, Josimar Ribeiro, Rosângela Cristina Barthus |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Multivariate statistics
Materials science Coefficient of determination Analytical chemistry 01 natural sciences Analytical Chemistry 0404 agricultural biotechnology F-test Partial least squares regression Electrodes Voltammetry Nanotubes Carbon Alcoholic Beverages 010401 analytical chemistry 04 agricultural and veterinary sciences General Medicine 040401 food science 0104 chemical sciences Zinc Inductively coupled plasma atomic emission spectroscopy Calibration Electrode Graphite Inductively coupled plasma Copper Cadmium Food Science |
| Zdroj: | Food Chemistry. 314:126126 |
| ISSN: | 0308-8146 |
| DOI: | 10.1016/j.foodchem.2019.126126 |
| Popis: | In this study, square wave anodic stripping voltammetry using two different types of electrodes (carbon nanotube electrode and graphite electrode) was combined with chemometric methods - partial least squares (PLS) and artificial neural networks (ANN) for determining copper, zinc, cadmium and lead in cachaca. The objectives were comparison of methods developed and the verification of the quality of artisanal cachacas in terms of metal content. For the development of the methodology, inductively coupled plasma optical emission spectrometry (ICP OES) was used as reference technique. The performance of multivariate models obtained was evaluated by the coefficient of determination (R2) and root mean square error of prediction (RMSEP). F test was utilized for comparing methods at confidence level of 95%. Better results were observed by using carbon nanotube electrode regardless of the multivariate method proposed. The methodology is simple, fast, and inexpensive and it can be used in quality control laboratories. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect