Authentication of the Geographical Origin of 'Vallerano' Chestnut by Near Infrared Spectroscopy Coupled with Chemometrics
| العنوان: | Authentication of the Geographical Origin of 'Vallerano' Chestnut by Near Infrared Spectroscopy Coupled with Chemometrics |
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| المؤلفون: | Alessandro Nardecchia, Federico Marini, Remo Bucci, Alessandra Biancolillo, Regina Presutto |
| المساهمون: | Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Università degli Studi dell'Aquila (UNIVAQ), Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
| المصدر: | Food Analytical Methods Food Analytical Methods, Springer, 2020, 13 (9), pp.1782-1790. ⟨10.1007/s12161-020-01791-7⟩ |
| بيانات النشر: | Springer Science and Business Media LLC, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | [SDV]Life Sciences [q-bio], PLS-DA, Chestnut, Classification, NIR, PLS-DA, SIMCA, 01 natural sciences, Applied Microbiology and Biotechnology, SIMCA, Analytical Chemistry, Chemometrics, Classification rate, Chestnut, Classification, NIR, 0404 agricultural biotechnology, Safety, Risk, Reliability and Quality, Mathematics, Authentication, business.industry, 010401 analytical chemistry, Near-infrared spectroscopy, External validation, Pattern recognition, 04 agricultural and veterinary sciences, 040401 food science, 0104 chemical sciences, Test set, Artificial intelligence, business, Safety Research, Food Science |
| الوصف: | Promoting and protecting the market of typical national territory’s products are fundamental from a commodity point of view. Often, high-added value foods are subjected to fraud. Chestnuts have extraordinary nutritional and organoleptic qualities and Italy is one of the biggest producers of this product. The purpose of the present study is to develop an analytical method suitable to authenticate the chestnut of Vallerano a PDO agro-food produced in Central-Italy. A total of 441 chestnuts were analyzed (323 PDO and 118 harvested in other Italian territories) by near infrared spectroscopy (NIR) and then classified using two different approaches: a discriminant one, partial least squares-discriminant analysis (PLS-DA), and a class-modelling one, soft independent modelling by class analogy (SIMCA). Both strategies led to very high prediction capability in external validation on a test set (classification accuracy in one case, and sensitivity and specificity in the other). Eventually, both the proposed approaches resulted suitable for a rapid and non-destructive authentication of this valuable product. In particular, the combination of NIR (collected on the hilum) and PLS-DA provided the best results, reaching 97.0% of total correct classification rate on the validation set. |
| تدمد: | 1936-976X 1936-9751 |
| DOI: | 10.1007/s12161-020-01791-7 |
| DOI: | 10.1007/s12161-020-01791-7⟩ |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a88b2d67816c2b101d961efaec539c31 https://doi.org/10.1007/s12161-020-01791-7 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....a88b2d67816c2b101d961efaec539c31 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 1936976X 19369751 |
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| DOI: | 10.1007/s12161-020-01791-7 |