Academic Journal

Green Chemometric-Assisted Characterization of Common and Black Varieties of Celery

التفاصيل البيبلوغرافية
العنوان: Green Chemometric-Assisted Characterization of Common and Black Varieties of Celery
المؤلفون: Alessandra Biancolillo, Martina Foschi, Leila D’Alonzo, Valter Di Cecco, Marco Di Santo, Luciano Di Martino, Angelo Antonio D’Archivio
المصدر: Molecules; Volume 28; Issue 3; Pages: 1181
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2023
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: celery, geographical origin, classification, authentication, class-modeling, discriminant analysis, SPORT, SIMCA
جغرافية الموضوع: agris
الوصف: Celery (Apium graveolens L., var. Dulce), is a biennial herbaceous plant belonging to the Apiaceae family, cultivated in humid soils in the Mediterranean basin, in Central-Southern Europe, and in Asia. Despite its wide diffusion and although it is well-known that cultivar/origin strongly influences plant composition, only a few studies have been carried out on the different types of celery. The present work aims to investigate four different Italian types of celery (two common, Elne and Magnum celery, and two black, Torricella Peligna Black and Trevi Black celery), and to test, whether the combination of FT-IR spectroscopy and chemometrics allows their ecotype discrimination. The peculiarity of this study lies in the fact that all the analyzed celeries were grown in the same experimental field under the same soil and climate conditions. Consequently, the differences captured by the FT-IR-based tool are mainly imputable to the different ecotypes. In order to achieve this goal, FT-IR profiles were handled by two diverse classifiers: sequential preprocessing through ORThogonalization (SPORT) and soft independent modeling by class analogy (SIMCA). Eventually, the highest classification rate (90%, on an external set of 100 samples) has been achieved by SPORT.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: Analytical Chemistry; https://dx.doi.org/10.3390/molecules28031181
DOI: 10.3390/molecules28031181
الاتاحة: https://doi.org/10.3390/molecules28031181
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.A06E1578
قاعدة البيانات: BASE
الوصف
DOI:10.3390/molecules28031181