Detection of quinoa flour adulteration by means of FT-MIR spectroscopy combined with chemometric methods
| Autor: | Guido Rolandelli, Silvio D. Rodríguez, M. Pilar Buera |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Informatics
Otras Ingenierías y Tecnologías Flour Wheat flour Food Contamination INGENIERÍAS Y TECNOLOGÍAS PLS-DA 01 natural sciences SIMCA Analytical Chemistry Alimentos y Bebidas 0404 agricultural biotechnology Partial least squares regression Spectroscopy Fourier Transform Infrared Food Quality Food science Chenopodium quinoa Spectroscopy purl.org/becyt/ford/2.11 [https] Mathematics Adulterant 010401 analytical chemistry QUINOA FLOUR ADULTERATION Discriminant Analysis 04 agricultural and veterinary sciences General Medicine Linear discriminant analysis 040401 food science 0104 chemical sciences FT-IR purl.org/becyt/ford/2 [https] CHEMOMETRIC METHODS Food Science |
| Zdroj: | CONICET Digital (CONICET) Consejo Nacional de Investigaciones Científicas y Técnicas instacron:CONICET |
| ISSN: | 1873-7072 |
| Popis: | Quinoa flour has been receiving an increasing attention as a substitute for wheat flour in bread formulations due to immuno-nutritional features. This growing interest in quinoa has increased the demand and consequently the prices, being a target for possible adulterations with cheaper cereals. Fourier transform Mid-infrared spectroscopy (FT-MIR) was used in the present work as a fingerprinting technique to detect the presence of three adulterants (soybean, maize and wheat flours). Partial least squares discriminant analysis (PLS-DA) and soft independent modelling of class analogy (SIMCA) models were used to classify pure from adulterated samples. 414 samples were measured, including pure quinoa flour, pure adulterant flours and adulterated quinoa flours using three different proportions (10, 5 and 1% w/w). PLS-DA showed better classification results than SIMCA, with error rates from 2 to 8% for the three strategies used to detect the presence of adulterants. Fil: Rodríguez, Silvio David. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Biodiversidad y Biología Experimental y Aplicada. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Biodiversidad y Biología Experimental y Aplicada; Argentina Fil: Rolandelli, Guido. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina Fil: Buera, Maria del Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina |
| Databáze: | OpenAIRE |
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