Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Digital image analysis - an alternative tool for monitoring milk authenticity

Texto completo
Autor(es):
dos Santos, Poliana Macedo [1] ; Pereira-Filho, Edenir Rodrigues [1]
Número total de Autores: 2
Afiliação do(s) autor(es):
[1] Fed Univ Sao Carlos UFSCar, Dept Chem, Sao Paulo - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: ANALYTICAL METHODS; v. 5, n. 15, p. 3669-3674, 2013.
Citações Web of Science: 33
Resumo

This paper proposes the use of digital imaging as an alternative method for the identification and quantification of milk adulteration. Bovine milk samples were furnished by a local milk company (Sao Carlos, SP, Brazil) and spiked with tap water, whey, hydrogen peroxide, synthetic urine and synthetic milk at different levels of adulteration. Digital images were obtained by a flatbed scanner and the means of ten color descriptors (red, green, blue, hue, saturation, value, luminosity and the three relative colors, i.e. relative red, relative blue and relative green) were used to evaluate the information from the images. Classification models exhibited tight and well-separated clusters allowing the discrimination of control from adulterated milk samples. Regression models were developed by using partial least squares (PLS) and principal component regression (PCR) and results showed that the method could be applied to estimate adulteration levels in milk with high coefficients of correlation (r) and low standard error of prediction (SEP). This method can be potentially used as an alternative to the traditional methods due the simplicity, sensitivity, low cost and portability allowing in situ analysis. (AU)

Processo FAPESP: 09/01345-6 - Aplicação de imagens digitais e técnicas espectroanalíticas combinadas com quimiometria para detecção e quantificação de adulteração em leite bovino
Beneficiário:Poliana Macedo dos Santos
Linha de fomento: Bolsas no Brasil - Doutorado