Abstract Purpose – Hempseed oil is a valuable emerging food product with recognized health positivity due to its composition. The paper aims to propose a multi-methodological chemical profiling of nine organic hempseed oil samples (different brands and prices) from the retail market, followed by multivariate data analysis. Design/methodology/approach – Fatty acids, tocopherols, squalene, total carotenoids content, phenolic compounds, total phenolic content and anti-radical activity (DPPH• and ABTS•þ assays) were determined through chromatographic and spectrophotometric techniques. Multivariate (explorative and discriminant) analyses were applied to the profiling results to classify samples according to information claimed on the label, i.e. geographical origin (EU vs. non-EU), extraction procedure (cold-pressed vs. not cold-pressed) and price (lower or higher than 10 V per 250 mL). Findings – The chemical analysis confirmed the 3 to 1 ?-6:?-3 ratio and the excellent content in antioxidant species. However, no specific trend of results can be stressed. PCA (after variables selection) highlighted a natural grouping of samples, so three discriminant analyses were performed: kNN, Na€ıve Bayes and LDA. The best classification efficiency was reached for the extraction procedure verification (93–100% correct classification), followed by geographical origin (83–94%) and prices (81.6–90%). Originality/value – The integrated approach of chemical profiling coupled with multivariate analyses allowed the assessment of label information of the analyzed organic hempseed oil samples, despite the wide heterogeneity of the selected samples.

Organic hempseed oil from the retail market: chemical profiling and multivariate analysis for label information assessment / Ciano, Salvatore; Maddaloni, Lucia; Rapa, Mattia; Tarola, Anna Maria. - In: BRITISH FOOD JOURNAL. - ISSN 0007-070X. - (2022). [10.1108/bfj-08-2021-0924]

Organic hempseed oil from the retail market: chemical profiling and multivariate analysis for label information assessment

Salvatore Ciano;Lucia Maddaloni;Mattia Rapa;Anna Maria Tarola
2022

Abstract

Abstract Purpose – Hempseed oil is a valuable emerging food product with recognized health positivity due to its composition. The paper aims to propose a multi-methodological chemical profiling of nine organic hempseed oil samples (different brands and prices) from the retail market, followed by multivariate data analysis. Design/methodology/approach – Fatty acids, tocopherols, squalene, total carotenoids content, phenolic compounds, total phenolic content and anti-radical activity (DPPH• and ABTS•þ assays) were determined through chromatographic and spectrophotometric techniques. Multivariate (explorative and discriminant) analyses were applied to the profiling results to classify samples according to information claimed on the label, i.e. geographical origin (EU vs. non-EU), extraction procedure (cold-pressed vs. not cold-pressed) and price (lower or higher than 10 V per 250 mL). Findings – The chemical analysis confirmed the 3 to 1 ?-6:?-3 ratio and the excellent content in antioxidant species. However, no specific trend of results can be stressed. PCA (after variables selection) highlighted a natural grouping of samples, so three discriminant analyses were performed: kNN, Na€ıve Bayes and LDA. The best classification efficiency was reached for the extraction procedure verification (93–100% correct classification), followed by geographical origin (83–94%) and prices (81.6–90%). Originality/value – The integrated approach of chemical profiling coupled with multivariate analyses allowed the assessment of label information of the analyzed organic hempseed oil samples, despite the wide heterogeneity of the selected samples.
2022
hemp; hempseed oil; chemical profiling; chemometric; PCA; multivariate samples classification
01 Pubblicazione su rivista::01a Articolo in rivista
Organic hempseed oil from the retail market: chemical profiling and multivariate analysis for label information assessment / Ciano, Salvatore; Maddaloni, Lucia; Rapa, Mattia; Tarola, Anna Maria. - In: BRITISH FOOD JOURNAL. - ISSN 0007-070X. - (2022). [10.1108/bfj-08-2021-0924]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1628594
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