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1.
Molecules ; 24(14)2019 Jul 17.
Article in English | MEDLINE | ID: mdl-31319572

ABSTRACT

Saffron is one of the most adulterated food products all over the world because of its high market prize. Therefore, a non-targeted approach based on the combination of headspace flash gas-chromatography with flame ionization detection (HS-GC-FID) and chemometrics was tested and evaluated to check adulteration of this spice with two of the principal plant-derived adulterants: turmeric (Curcuma longa L.) and marigold (Calendula officinalis L.). Chemometric models were carried out through both linear discriminant analysis (LDA) and partial least squares discriminant analysis (PLS-DA) from the gas-chromatographic data. These models were also validated by cross validation (CV) and external validation, which were performed by testing both models on pure spices and artificial mixtures capable of simulating adulterations of saffron with the two adulterants examined. These models gave back satisfactory results. Indeed, both models showed functional internal and external prediction ability. The achieved results point out that the method based on a combination of chemometrics with gas-chromatography may provide a rapid and low-cost screening method for the authentication of saffron.


Subject(s)
Crocus/chemistry , Curcuma/chemistry , Plant Extracts/chemistry , Chromatography, Gas , Discriminant Analysis , Humans , Least-Squares Analysis , Spices/analysis
2.
Molecules ; 23(2)2018 Feb 19.
Article in English | MEDLINE | ID: mdl-29463056

ABSTRACT

The present study aims to highlight the therapeutic potential of Asphodeline lutea (AL), a wild edible plant of the Mediterranean diet. Roots, aerial parts, and flowers of AL at two different phenological stages were collected from three locations in Italy. The inhibitory activities of extracts on strategic enzymes linked to human diseases were assessed. The antioxidant properties were evaluated in vitro, using six standard bioassays. The phenolic and anthraquinone profiles were also established using HPLC-PDA. Zinc, cadmium, lead, and copper contents were also determined. All the samples inhibited acetylcholinesterase (from 1.51 to 2.20 mg GALAEs/g extract), tyrosinase (from 7.50 to 25.3 mg KAEs/g extract), and α-amylase (from 0.37 to 0.51 mmol ACAEs/g extract). Aloe-emodin and physcion were present in all parts, while rhein was not detected. The phenolic profile and the heavy metals composition of specimens gathered from three different regions of Italy were different. It can be argued that samples collected near the street can contain higher concentrations of heavy metals. The experimental data confirm that the A. lutea species could be considered as a potential source of bioactive metabolites, and its consumption could play a positive and safe role in human health maintenance.


Subject(s)
Antioxidants/chemistry , Asphodelaceae/chemistry , Phenols/chemistry , Acetylcholinesterase/drug effects , Anthraquinones/chemistry , Antioxidants/isolation & purification , Cholinesterase Inhibitors/chemistry , Chromatography, High Pressure Liquid , Flowers/chemistry , Humans , Italy , Monophenol Monooxygenase/antagonists & inhibitors , Phenols/isolation & purification , Plant Extracts/chemistry , Plant Roots/chemistry , alpha-Amylases/antagonists & inhibitors
3.
Food Chem ; 204: 263-273, 2016 Aug 01.
Article in English | MEDLINE | ID: mdl-26988501

ABSTRACT

At present, the geographical origin of extra virgin olive oils can be ensured by documented traceability, although chemical analysis may add information that is useful for possible confirmation. This preliminary study investigated the effectiveness of flash gas chromatography electronic nose and multivariate data analysis to perform rapid screening of commercial extra virgin olive oils characterized by a different geographical origin declared in the label. A comparison with solid phase micro extraction coupled to gas chromatography mass spectrometry was also performed. The new method is suitable to verify the geographic origin of extra virgin olive oils based on principal components analysis and discriminant analysis applied to the volatile profile of the headspace as a fingerprint. The selected variables were suitable in discriminating between "100% Italian" and "non-100% Italian" oils. Partial least squares discriminant analysis also allowed prediction of the degree of membership of unknown samples to the classes examined.


Subject(s)
Chromatography, Gas/methods , Electronic Nose , Olive Oil/chemistry , Discriminant Analysis , Italy , Least-Squares Analysis , Olea/chemistry , Plant Oils/chemistry
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