This study aimed to assess bioactive compounds contents in cherry tomatoes and classify samples according to cultivation techniques. Simple and cost-effective analyses were conducted on 128 samples cultivated using hydroponic, organic, and conventional practices. An HPLC-FD method was validated in-house for eight biogenic amines while antioxidants were evaluated using total phenolic content and anti-radical activity assays (DPPH and ABTS+ assays). Chemometric evaluation was applied to extrapolate significant information from data-sets. Variable selection using correlation matrix and the Fisher test was performed. Principal component analysis and linear discriminant analysis were used to construct a mathematical model to classify samples. Correct classifications were achieved in training (95.2%), validation (98.5%), and testing (100%). The results showed that cherry tomatoes cultivated using different techniques could be discriminated based on bioactive profiles using chemometric approaches.

Bioactive compounds in cherry tomatoes (Solanum Lycopersicum var. Cerasiforme): Cultivation techniques classification by multivariate analysis / Rapa, Mattia; Ciano, Salvatore; Ruggieri, Roberto; Vinci, Giuliana. - In: FOOD CHEMISTRY. - ISSN 0308-8146. - 355:(2021), p. 129630. [10.1016/j.foodchem.2021.129630]

Bioactive compounds in cherry tomatoes (Solanum Lycopersicum var. Cerasiforme): Cultivation techniques classification by multivariate analysis

Rapa, Mattia
;
Ciano, Salvatore;Ruggieri, Roberto;Vinci, Giuliana
2021

Abstract

This study aimed to assess bioactive compounds contents in cherry tomatoes and classify samples according to cultivation techniques. Simple and cost-effective analyses were conducted on 128 samples cultivated using hydroponic, organic, and conventional practices. An HPLC-FD method was validated in-house for eight biogenic amines while antioxidants were evaluated using total phenolic content and anti-radical activity assays (DPPH and ABTS+ assays). Chemometric evaluation was applied to extrapolate significant information from data-sets. Variable selection using correlation matrix and the Fisher test was performed. Principal component analysis and linear discriminant analysis were used to construct a mathematical model to classify samples. Correct classifications were achieved in training (95.2%), validation (98.5%), and testing (100%). The results showed that cherry tomatoes cultivated using different techniques could be discriminated based on bioactive profiles using chemometric approaches.
2021
Biogenic amines; Cherry tomatoes; Hydroponic; LDA; Organic; PCA
01 Pubblicazione su rivista::01a Articolo in rivista
Bioactive compounds in cherry tomatoes (Solanum Lycopersicum var. Cerasiforme): Cultivation techniques classification by multivariate analysis / Rapa, Mattia; Ciano, Salvatore; Ruggieri, Roberto; Vinci, Giuliana. - In: FOOD CHEMISTRY. - ISSN 0308-8146. - 355:(2021), p. 129630. [10.1016/j.foodchem.2021.129630]
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1528369
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? 5
  • Scopus 17
  • ???jsp.display-item.citation.isi??? 14
social impact