stereospecific analysis
Recently Published Documents


TOTAL DOCUMENTS

94
(FIVE YEARS 2)

H-INDEX

24
(FIVE YEARS 1)

Foods ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 916
Author(s):  
Carmela Tringaniello ◽  
Lina Cossignani ◽  
Francesca Blasi

Hemp seed oil (HSO) has received considerable attention for its health properties, especially due to unsaturated fatty acid (UFA) content. In this work, the triacylglycerol (TAG) fraction of Italian and Extra-European HSO was characterized by applying an enzymatic approach, based on the use of pancreatic lipase and sn-1,2-diacylglycerol kinase. This procedure allows determination of the intrapositional FA% composition of TAG. The results of the stereospecific analysis are useful for deepening knowledge on HSO nutritional aspects. The high percentage of UFA (88.3–89.9%), in particular essential FA (74.4–85.9%), of HSO samples in sn-2 position is important for long-term health effects, but also to enhance the use of this oil as a functional ingredient in food, cosmetic and nutraceutical fields. Furthermore, the results of total and intrapositional FA % compositions, subjected to principal component analysis, were able to differentiate HSO Italian samples from Extra-European ones. Based on the obtained results, it can be stated that the stereospecific analysis represents a potent analytical tool providing the fingerprint of TAG fraction, useful to highlight possible chemical descriptors for HSO authenticity and traceability purposes.


Foods ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 58 ◽  
Author(s):  
Francesca Blasi ◽  
Luna Pollini ◽  
Lina Cossignani

In recent years, there is an increasing interest in high-quality extra virgin olive oils (EVOOs) produced from local cultivars. They have particular chemical/organoleptic characteristics and are frequently subjected to fraud, whereby the control of quality requires a powerful varietal check. In the present research, triacylglycerols (TAGs) and volatiles have been studied as chemical markers for the authentication of EVOO samples from four Italian varieties of Olea europea (Dolce Agogia, Frantoio, Leccino, and Moraiolo). The monocultivar EVOO samples have been subjected to a chemical–enzymatic chromatographic method in order to perform a stereospecific analysis, an important procedure for the characterization of TAG of food products. The results, combined with chemometric analysis (linear discriminant analysis, LDA), were elaborated in order to classify Italian EVOO monocultivar samples. In accordance with the total and intrapositional fatty acid (FA) composition of TAG fraction, the results were allowed to carry out a varietal discrimination. In addition, volatile compounds were also determined by solid-phase micro-extraction gas chromatography-mass spectrometry analysis. All EVOO samples were correctly classified when TAG stereospecific data and volatile results were elaborated by the LDA procedure, even if volatile compounds showed a higher discriminant power.


2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
L. Cossignani ◽  
D. Montesano ◽  
M. S. Simonetti ◽  
F. Blasi

Stereospecific analysis is an important tool for the characterization of lipid fraction of food products. In the present research, an approach to characterizearabicaandrobustavarieties by structural analysis of the triacylglycerol (TAG) fraction is reported. The lipids were Soxhlet extracted from ground roasted coffee beans with petroleum ether, and the fatty acids (FA) were determined as their corresponding methyl esters. The results of a chemical-enzymatic-chromatographic method were elaborated by a chemometric procedure, Linear Discriminant Analysis (LDA). According to the total and intrapositional FA composition of TAG fraction, the obtained results were able to characterize roasted pure coffee samples and coffee mixtures with 10%robustacoffee added toarabicacoffee. Totally correct classified samples were obtained when the TAG stereospecific results of the considered coffee mixture (90 : 10arabica/robusta) were elaborated by LDA procedure.


Bioanalysis ◽  
2015 ◽  
Vol 7 (18) ◽  
pp. 2297-2309 ◽  
Author(s):  
Siji Joseph ◽  
Murali Subramanian ◽  
Smriti Khera

2012 ◽  
Vol 80 (2) ◽  
pp. 144-151 ◽  
Author(s):  
Francesca Blasi ◽  
Germana Lombardi ◽  
Pietro Damiani ◽  
Maria Stella Simonetti ◽  
Laura Giua ◽  
...  

Product authenticity is an important topic in dairy sector. Dairy products sold for public consumption must be accurately labelled in accordance with the contained milk species. Linear discriminant analysis (LDA), a common chemometric procedure, has been applied to fatty acid% composition to classify pure milk samples (cow, ewe, buffalo, donkey, goat). All original grouped cases were correctly classified, while 90% of cross-validated grouped cases were correctly classified. Another objective of this research was the characterisation of cow-ewe milk mixtures in order to reveal a common fraud in dairy field, that is the addition of cow to ewe milk. Stereospecific analysis of triacylglycerols (TAG), a method based on chemical–enzymatic procedures coupled with chromatographic techniques, has been carried out to detect fraudulent milk additions, in particular 1, 3, 5% cow milk added to ewe milk. When only TAG composition data were used for the elaboration, 75% of original grouped cases were correctly classified, while totally correct classified samples were obtained when both total and intrapositional TAG data were used. Also the results of cross validation were better when TAG stereospecific analysis data were considered as LDA variables. In particular, 100% of cross-validated grouped cases were obtained when 5% cow milk mixtures were considered.


2012 ◽  
Vol 60 (7) ◽  
pp. 1857-1864 ◽  
Author(s):  
Lin Lei ◽  
Jing Li ◽  
Guang-Yan Li ◽  
Jiang-Ning Hu ◽  
Liang Tang ◽  
...  

2011 ◽  
Vol 92 (4) ◽  
pp. 952-959 ◽  
Author(s):  
Gilda D'Arco ◽  
Francesca Blasi ◽  
Lina Cossignani ◽  
Franco Di Giacomo ◽  
Domenico Ciavardelli ◽  
...  

2011 ◽  
Vol 78 (3) ◽  
pp. 335-342 ◽  
Author(s):  
Lina Cossignani ◽  
Francesca Blasi ◽  
Ancilla Bosi ◽  
Gilda D'Arco ◽  
Silvia Maurelli ◽  
...  

Stereospecific analysis is an important tool for the characterization of lipid fraction of food matrices, and also of milk samples. The results of a chemical-enzymatic-chromatographic analytical method were elaborated by chemometric procedures such as linear discriminant analysis (LDA) and artificial neural network (ANN). According to the total composition and intrapositional fatty acid distribution in the triacylglycerol (TAG) backbone, the obtained results were able to characterize pure milk samples and milk mixtures with 1, 3, 5% cow milk added to donkey milk. The resulting score was very satisfactory. Totally correct classified samples were obtained when the TAG stereospecific results of all the considered milk mixtures (donkey-cow) were elaborated by LDA and ANN chemometric procedures.


Sign in / Sign up

Export Citation Format

Share Document