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Integrated Chemometric and Neural Network Analysis for the Differentiation of <i>Cucurbita maxima</i> and <i>Cucurbita moschata</i>

This study examines the compositional differentiation of two <i>Cucurbita</i> species, <i>C. maxima</i> Duchesne and <i>C. moschata</i> Duchesne, to identify chemical markers relevant for their nutritional and functional potential. Multivariate statistical analysis, including principal component ana...

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Autors principals: Milorad Miljić, Biljana Lončar, Biljana Kiprovski, Lato Pezo, Miloš Radosavljević, Milenko Košutić, Vesna Vasić, Dragana Lukić, Milena Rašeta, Sanja Krstić
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2026-03-01
Col·lecció:Agriculture
Matèries:
<i>Cucurbita maxima</i>
<i>Cucurbita moschata</i>
chemometrics
artificial neural networks
compositional profiling
multivariate analysis
Accés en línia:https://www.mdpi.com/2077-0472/16/7/733
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