Traceability of <scp><i>Opuntia ficus‐indica</i></scp> L. Miller by ICP‐MS multi‐element profile and chemometric approach

Mottese, Antonio Francesco; Naccari, Clara; Vadalà, Rossella; Bua, Giuseppe Daniel; Bartolomeo, Giovanni; Rando, Rossana; Cicero, Nicola; Dugo, Giacomo

doi:10.1002/jsfa.8456

Cited by 23 publications

(13 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Opuntia ficus‐indica L. Miller (cactus pear, prickly pear or nopal cactus) belongs to the Cactaceae family and is native to Mexico. This plant can be found either in coastal regions or plateaus of the arid and semi‐arid regions of South and Central America, Africa and the Mediterranean region (El‐Mostafa et al, ; Mottese et al, ; Ouerghemmi et al, ). At this moment, O. ficus‐indica is cultivated in more than 30 countries of both hemispheres.…”

Section: Introductionmentioning

confidence: 99%

Qualitative evaluation of fruits from different Opuntia ficus‐indica ecotypes/cultivars harvested in South Portugal

et al. 2018

View full text Add to dashboard Cite

Opuntia ficus‐indica fruits have an important nutritional value and show several biological properties. This work studied the fruit physicochemical characteristics of two wild ecotypes (“Green” and “Orange”) and two cultivars (“Rossa” and “Gialla”) from Portugal. The results showed that the largest and heaviest fruits were those from ecotype “Orange,”, whereas the wild ecotype “Green” had fruits with firmer flesh. The fruit peels of cultivars “Rossa” and “Gialla” presented the highest fibre content. Glucose was the major carbohydrate in the fruits, particularly in the peels. Malic acid was the sole organic acid in both peels and pulps of all samples. The betacyanins’ content was higher in fruits of the “Rossa” cultivar, and the higher betaxanthins’ content was present in the peel of the cultivar “Gialla.” Peels of all samples generally had higher amounts of betalains than the pulps. The peel was a better scavenger of DPPH and ABTS free radicals than the pulp. Practical application The wastes of diverse food industries have revealed the presence of bioactive compounds with added value. The fruits of Opuntia ficus‐indica are appreciated for possessing biological attributes, nevertheless the peel generally is not used. The present work shows that the pigments (betalains) are predominantly found in the peel. Moreover, the in vitro antioxidant activity was also higher in this part of the fruit, independent on the ecotype or cultivar studied. Such results might trigger the interest for these residues from which pigments and bioactive compounds can be extracted, and, as extracts, can be used in diverse domains particularly in food and pharmaceutical industries.

show abstract

Section: Introductionmentioning

confidence: 99%

Qualitative evaluation of fruits from different Opuntia ficus‐indica ecotypes/cultivars harvested in South Portugal

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The ANOVA was employed to analyse whether twenty-four element concentrations of rice samples from three areas were significantly different (P < 0.05). The PCA was to use a few indicators to replace and reflect more original information (Mottese et al, 2017). LDA is based on some indicators observed to classify the object, and the discriminant function developed is employed to classify the unknown samples (Vadala et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Multiangle discrimination of geographical origin of rice based on analysis of mineral elements and characteristic volatile components

Fang

Shen

et al. 2018

Int J of Food Sci Tech

View full text Add to dashboard Cite

Summary The aim of the study was to develop a multiangle discrimination method which combines mineral elements with volatile compounds to identify the geographical origin of rice. The levels of twenty‐four elements and characteristic volatile compositions of rice samples from different growing area (Panjin, Wuchang and Sheyang city of China) were measured by inductively coupled plasma mass spectrometer (ICP‐MS) and electronic nose (E‐nose), respectively. The obtained data were subject to the analysis of variance (anova), principal component analysis (PCA) and linear discriminant analysis (LDA). The twenty elements including B, Mg, Al, Ti, V, Cr, Mn, Fe, Ni, Zn, Ga, As, Sr, Cd, Sn, Sb, Ba, Pb, Bi and Tl and eleven sensors including LY2/LG,LY2/G, LY2/AA, LY2/GH, LY2/gCTL, LY2/gCT, P10/1, T30/1,T70/2, P10/2 and PA/2 were mainly contributed to discriminate the origin of the rice, and the average classification accuracy was 93.5%. Compared with one‐dimensional discrimination method, the multiangle analytical method of combining mineral elements with volatile compounds significantly improved the discrimination accuracy of origin of rice.

show abstract

“…Sample preparation and ICP‐MS determinations were conducted according to what already described in Mottese et al. (). Approximately 0.5 g of each replicate of prickly pears was digested with 8 mL of HNO 3 and 2 mL of H 2 O 2 in PTFE vessels.…”

Section: Methodsmentioning

confidence: 99%

“…Coherently, Mottese et al. () have recently employed inductively coupled plasma‐mass spectrometry (ICP‐MS) and principal component analysis (PCA) to describe prickly pears by specific variables (inorganic elements) based on the cultivar (Surfarina and Sanguigna) and the geographical origin (three Sicilian localities).…”

Section: Introductionmentioning

confidence: 99%

“…Muscaredda, which were not addressed by Mottese et al. (), were first screened for their elemental contents and then subjected to several exploratory and classification methods, namely hierarchical clustering analysis (HCA), PCA, stepwise canonical discriminant analysis (CDA), and partial least squares—discriminant analysis (PLS‐DA) to set up a reliable discriminant model(s) of Sicilian prickly pears according to the production area.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Discrimination of the Sicilian Prickly Pear (Opuntia Ficus‐Indica L., CV. Muscaredda) According to the Provenance by Testing Unsupervised and Supervised Chemometrics

Albergamo

Mottese

Bua

et al. 2018

Journal of Food Science

Self Cite

View full text Add to dashboard Cite

Different multivariate techniques were tested in an attempt to build up a statistical model for predicting the origin of prickly pears (Opuntia ficus-indica L., cv. Muscaredda) from several localities within the Sicilian region. Specifically, two areas known for producing fruits marked respectively by TAP (traditional agri-food product) and PDO (protected designation of origin) brands, and three sites producing non-branded fruits, were considered. A validated inductively coupled plasma mass spectrometry (ICP-MS) method allowed to obtain elemental fingerprints of prickly pears, which were subsequently elaborated by unsupervised tools, such as hierarchical clustering analysis (HCA) and principal component analysis (PCA), and supervised techniques, such as stepwise-canonical discriminant analysis (CDA) and partial least squares-discriminant analysis (PLS-DA). With the exception of HCA, which was not enough powerful to correctly cluster all selected samples, PCA successfully investigated the effect of subregional provenance on prickly pears, thus, differentiating labeled products from the non-labeled counterpart. Also, stepwise CDA and PLS-DA allowed to build up reliable models able to correctly classify 100% of fruits on the basis of the production areas, by exploiting a restricted pool of metals. Both statistical models, including unsupervised (PCA) and supervised techniques (stepwise CDA or PLS-DA), may guarantee the provenance of prickly pears protected by quality labels and safeguard producers and consumers.Practical Application: Based on elemental analysis and chemometrics, the reliable traceability models herein proposed, could be applied to commercial Sicilian prickly pears protected by TAP and PDO logos to guarantee their provenance and, at the same time, to safeguard producers and consumers.

show abstract

Traceability of Opuntia ficus‐indica L. Miller by ICP‐MS multi‐element profile and chemometric approach

Cited by 23 publications

References 30 publications

Qualitative evaluation of fruits from different Opuntia ficus‐indica ecotypes/cultivars harvested in South Portugal

Qualitative evaluation of fruits from different Opuntia ficus‐indica ecotypes/cultivars harvested in South Portugal

Multiangle discrimination of geographical origin of rice based on analysis of mineral elements and characteristic volatile components

Discrimination of the Sicilian Prickly Pear (Opuntia Ficus‐Indica L., CV. Muscaredda) According to the Provenance by Testing Unsupervised and Supervised Chemometrics

Contact Info

Product

Resources

About