Autor segons l'article: Mabood F., Jabeen F., Ahmed M., Hussain J., Al Mashaykhi S.A.A., Al Rubaiey Z.M.A., Farooq S., Boqué R., Ali L., Hussain Z., Al-Harrasi A., Khan A.L., Naureen Z., Idrees M., Manzoor S.
Departament: Química Analítica i Química Orgànica
Autor/s de la URV: Boqué Martí, Ricard
Paraules clau: Pls-da Pls regression Pca Nir-spectroscopy Multivariate analysis Food adulteration Espectroscopía nir Camel milk adulteration pls regression pca nir-spectroscopy camel milk adulteration
Resum: New NIR spectroscopy combined with multivariate analysis for detection and quantification of camel milk adulteration with goat milk was investigated. Camel milk samples were collected from Aldhahira and Sharqia regions of Sultanate of Oman and were measured using NIR spectroscopy in absorption mode in the wavelength range from 700 to 2500 nm, at 2 cm−1 resolution and using a 0.2 mm path length CaF2 sealed cell. The multivariate methods like PCA, PLS-DA and PLS regression were used for interpretation of NIR spectral data. PLS-DA was used to detect the discrimination between the pure and adulterated milk samples. For PLSDA model the R-square value obtained was 0.974 with 0.08 RMSE. Furthermore, PLS regression model was used to quantify the levels of adulteration from, 0%, 2%, 5%, 10%, 15% and 20%. The PLS model showed the RMSEC = 1.10% with R2 = 94%. This method is simple, reproducible, having excellent sensitivity. The limit of detection was found 0.5%, while the limit of quantification was 2%.
Àrees temàtiques: Zootecnia / recursos pesqueiros Saúde coletiva Química Odontología Nutrition & dietetics Nutrição Medicine (miscellaneous) Medicina veterinaria Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Interdisciplinar Geociências Food science & technology Food science Farmacia Ensino Engenharias iv Engenharias iii Engenharias ii Engenharias i Enfermagem Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Chemistry, applied Biotecnología Biodiversidade Astronomia / física Analytical chemistry Administração pública e de empresas, ciências contábeis e turismo
ISSN: 03088146
Adreça de correu electrònic de l'autor: ricard.boque@urv.cat
Identificador de l'autor: 0000-0001-7311-4824
Pàgina final: 750
Data d'alta del registre: 2024-09-07
Volum de revista: 221
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Enllaç font original: https://www.sciencedirect.com/science/article/abs/pii/S0308814616319586
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Food Chemistry. 221 746-750
Referència de l'ítem segons les normes APA: Mabood F., Jabeen F., Ahmed M., Hussain J., Al Mashaykhi S.A.A., Al Rubaiey Z.M.A., Farooq S., Boqué R., Ali L., Hussain Z., Al-Harrasi A., Khan A.L., (2017). Development of new NIR-spectroscopy method combined with multivariate analysis for detection of adulteration in camel milk with goat milk. Food Chemistry, 221(), 746-750. DOI: 10.1016/j.foodchem.2016.11.109
DOI de l'article: 10.1016/j.foodchem.2016.11.109
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2017
Pàgina inicial: 746
Tipus de publicació: Journal Publications
Repositori URV