Author, as appears in the article.: Miaw C., Sena M., Souza S., Callao M., Ruisanchez I.

Department: Química Analítica i Química Orgànica

URV's Author/s: Callao Lasmarias, María Pilar / Ruisanchez Capelastegui, María Iciar

Keywords: Simca Pls-da One-class classification Multiclass classification Fruit nectar Food adulteration 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: itziar.ruisanchez@urv.cat mariapilar.callao@urv.cat

Author identifier: 0000-0002-7097-3583 0000-0003-2691-329X

Record's date: 2023-02-18

Papper version: info:eu-repo/semantics/acceptedVersion

Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S0308814618309671

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Papper original source: Food Chemistry. 266 254-261

APA: Miaw C., Sena M., Souza S., Callao M., Ruisanchez I. (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