Author, as appears in the article.: Whei Miaw, Carolina Sheng; Sena, Marcelo Martins; Carvalho de Souza, Scheilla Vitorino; Callao, Maria Pilar; Ruisanchez, Itziar
Department: Química Analítica i Química Orgànica
URV's Author/s: Callao Lasmarias, María Pilar / Ruisánchez Capelastegui, María Iciar
Keywords: 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
Abstract: 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
Thematic Areas: 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
Author's mail: mariapilar.callao@urv.cat itziar.ruisanchez@urv.cat
Author identifier: 0000-0003-2691-329X 0000-0002-7097-3583
Record's date: 2024-10-12
Papper version: info:eu-repo/semantics/acceptedVersion
Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S0308814618309671
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Food Chemistry. 266 254-261
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
Article's DOI: 10.1016/j.foodchem.2018.06.006
Entity: Universitat Rovira i Virgili
Journal publication year: 2018
Publication Type: Journal Publications
Repositori URV