Autor segons l'article: Whei Miaw, Carolina Sheng; Sena, Marcelo Martins; Carvalho de Souza, Scheilla Vitorino; Callao, Maria Pilar; Ruisanchez, Itziar
Departament: Química Analítica i Química Orgànica
Autor/s de la URV: Callao Lasmarias, María Pilar / Ruisánchez Capelastegui, María Iciar
Paraules clau: Vitis Spectroscopy, fourier transform infrared Simca Sensitivity and specificity Pls-da Plant nectar One-class classification Multiclass classification Malus Fruit nectar Fruit and vegetable juices Food contamination Food adulteration Discriminant analysis Anacardium pls-da one-class classification multiclass classification fruit nectar food adulteration
Resum: There is no any doubt about the importance of food fraud control, as it has implications in food safety and in consumer health. Focusing on fruit beverages, some types of adulterations have been detected more frequently, such as substitution with less expensive fruits. A methodology based on attenuated total reflectance Fourier-transform mid-infrared spectroscopy (ATR-FTIR) and multivariate classification was applied to detect whether grape nectars were adulterated by substitution with apple juice or cashew juice. A total of 126 samples were obtained and analyzed. Two strategies were proposed: one-class and multiclass approaches. Soft independent modeling of class analogy (SIMCA), partial least squares discriminant analysis (PLS-DA) and partial least squares density modeling (PLS-DM) were used to build the models. Among them, PLS-DA presented the best performance with a sensitivity and specificity of nearly 100%. The multiclass strategy was preferred if the adulterants to be studied are known because it provides additional information
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: mariapilar.callao@urv.cat itziar.ruisanchez@urv.cat
Identificador de l'autor: 0000-0003-2691-329X 0000-0002-7097-3583
Data d'alta del registre: 2024-10-12
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Food Chemistry. 266 254-261
Referència de l'ítem segons les normes APA: Whei Miaw, Carolina Sheng; Sena, Marcelo Martins; Carvalho de Souza, Scheilla Vitorino; Callao, Maria Pilar; Ruisanchez, Itziar (2018). Detection of adulterants in grape nectars by attenuated total reflectance Fourier-transform mid-infrared spectroscopy and multivariate classification strategies. Food Chemistry, 266(), 254-261. DOI: 10.1016/j.foodchem.2018.06.006
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2018
Tipus de publicació: Journal Publications
Repositori URV