MétaCan
Menu
Back to cohort
Record W7034745586

Wild plants like nutraceuticals sources:
\nINNOVATIVE EXTRACTION, ENCAPSULATION IN W/O AND
\nO/W EMULSION AND ANTIOXIDANT ACTIVITY OF BIOACTIVE
\nPIGMENTS FROM OPUNTIA FICUS INDICA FRUIT

2015· article· en· W7034745586 on OpenAlexaboutno aff

Bibliographic record

VenueCINECA IRIS Institutional Research Information System (University of Basilicata) · 2015
Typearticle
Languageen
FieldNeuroscience
TopicFace Recognition and Perception
Canadian institutionsnot available
Fundersnot available
KeywordsBetaninNutraceuticalBiological pigmentBetalainPEAROrange (colour)CultivarAntioxidantCitric acid
DOInot available

Abstract

fetched live from OpenAlex

The use and exploitation of plants widely disseminated, which contain bioactive compounds (nutraceuticals), could be the best way to have beneficial effects
\non health; this also could reduces the environmental impact of transport on long distance of fruits and vegetables, that often involving the loss of nutritional
\nproperties of the products.
\nOpuntia ficus-indica is a plant endemic of South America, wild and invasive and it produces an edible fruit, that it grows on the flat pads of the cactus (Fig.1).
\nThe fruit is a berry and varying in colour(Fig.2), it develops green (less sweet), becomes orange-yellow and at the end the colour is reddish purple (very sweet).
\nThis is reach in betalains, has an application in the low acid foods as natural colorants [1]. It is often used to make candies and jelly or added on drinks such
\nlemonade; its pulp and juice have been used to treat a lot of diseases, such as wounds and inflammations of the digestive and urinary tract in folk medicine.
\nBetalains are water-soluble nitrogenous pigments. They can be divided into two structural groups, the red to red-violet betacyanins (Latin-Beta, beet and
\nGreek-kyanos, blue color) and the yellow betaxanthins (Latin-Beta, beet and Greek-xanthos, yellow) (Fig. 3). The most important source of betanin (Fig. 4) as
\ncolouring agent is the red beet (Beta vulgaris subsp. vulgaris) root.
\n1. Plant Opuntia ficus indica (L.) Mill. 2. Different cultivar of Opuntia ficus-indica
\n[1] Maran J.P. and Manikandan S. (2012). “Response surface modeling and optimization of process parameters for aqueous extraction of pigments from prickly pear (Opuntia ficus-indica) fruit”. Dyes and Pigments, 95: 465-472.
\n[2] Romo-Hualde A.; Yetano-Cunchillos A.I.; González-Ferrero C.; M.J. Sáiz-Abajo; González-Navarro C.J. (2012). Supercritical fluid extraction and microencapsulation of bioactive compounds from red pepper (Capsicum annum L.)
\nby-products. Food Chemistry, 133, 1045–1049.
\n[3] Fernández-López J.A., Almela L. (2001). Application of high-performance liquid chromatography to the characterization of the betalain pigments in prickly pear fruits. Journal of Chromatography, A (913) 415–420.
\n[4] Spizzirri G.U., Cirillo G., Curcio M., Altimari I., Picci N., Iemma F. (2013). “Stabilization of oxidable vitamins by flavonoid-based hydrogels”. Reactive & Functional Polymers, 73: 1030–1037.
\n[5] Abdalla A.E., Roozen J.P. (1999). “Effect of plant extracts on the oxidative stability of sunfower oil and emulsion”. Food Chemistry, 64: 323-329.
\nWild plants like nutraceuticals sources:
\nINNOVATIVE EXTRACTION, ENCAPSULATION IN W/O AND
\nO/W EMULSION AND ANTIOXIDANT ACTIVITY OF BIOACTIVE
\nPIGMENTS FROM OPUNTIA FICUS INDICA FRUIT
\nIn this work has been investigated the possibility of phytochemicals
\nextraction by using the supercritical fluids extraction (SFE) with CO2 from
\nfruits, optimizing the selectivity between them and other substances
\npresents in the vegetal matrix.
\nSupercritical fluid technology is nowadays the most innovative method for
\npreparing bioactive products used as supplements and for the preparation
\nof products for children since the extract is free of solvent traces (the CO2
\ndiffuses at room temperature).
\nThe extracts obtained by SFE-CO2 are “Generally Recognized As Safe
\n(GRAS)” by the American Food and Drugs Administration, they can be
\nadded to any food [2].
\nMaterials and Methods
\n5. Collection and peel of
\nOpuntia ficus-indica fruits
\nOpuntia
\nficus-indica
\nFruits
\nFirst Harvesting
\n(November 2012)
\nSecond Harvesting
\n(December 2012)
\nThird
\nHarvesting
\n(October 2013)
\npH 5,68±0,08 5,73±0,04 5,71±0,02
\naw 0,928±0,002 0,934±0,005 0,921±0,003
\n°Bx 15,0±0,1 14,8±0,2 15,2±0,1
\nUW.b 83,98±0,17 84,37±0,24 83,62±0,08
\n10. Pulp homogenized from fruit
\nDifferent solvent extraction
\nStirred centrifugation filtration
\n3. The chromophore of betalains (1), the aglycone of most of
\nbetacyanins (2), and a proline-containing betaxanthin (3).
\nSpectrophotometric analysis
\nof extracts
\nBetacyanins content was
\nexpressed as betanin content
\n(molar mass M = 551,48 g/mol).
\nWavelength was setted to 527
\nnm (Fig. 8).
\nHPLC analysis of extract
\nThe analysis of all extracts both
\nfrom solvent extraction and
\nbelonged from SFE were carried
\nout by means of HPLC using a
\nSmartline HPLC system (Fig. 9).
\nChromatographic separation
\nwas carried out using a 2,0 mm
\nID ×150 mm L, with precolumn,
\nC-18 TSKgel ODS-100 V, 21810.
\nExtraction of betalains with supercritical fluids
\nAll samples after collection were previously cleaned and peeled,
\nhomogenized and frozen; at the time of the analysis; some of
\nthem were centrifuged, other partially dried and added with
\ndifferent sand Ottawa and Diatomee, in order to maximize the
\nyields of extraction.
\nThe supercritical extractions by CO2 were performed on a Spe-ed
\nSFE 4 extractor (Fig. 7). Flow CO2= 1.5 L/min.
\n• extra virgin olive oil 20w/w%
\n• Tween 60
\n• buffer solution
\n• CaCl2;
\n• pectin L.M.
\n• ethanol
\nEMU CPFE
\nEMU STD
\n+
\nextract purified of
\nOpuntia ficus-indica
\nEMU STD EMU VIT E
\nEMU STD
\n+
\nVitamin E
\n• extra virgin olive oil 70w/w%
\n• mono- and diglycerides of
\n• fatty acids
\n• NaCl 0,1 M
\nEMU CPFE
\nEMU STD
\n+
\nextract purified of
\nOpuntia ficus-indica
\nEMU STD EMU VIT E
\nEMU STD
\n+
\nVitamin E
\nPreparaions of emulsion oil in water (O/W) and water in oil (W/O)
\nPurification of extract (CPFE): the pulp fruit was homogenized, centrifuged and precipitated with
\nacetone; then filtrated with a PTFE siringe. The emulsification was performed using a rotor stator
\nsystem (Ultra Turrax T 50).
\nAntioxidant activity
\nThe antioxidant properties of all emulsions (O/W and W/O), at
\nfour different times after preparations (t0= 1 day; t1= 5 days; t2=
\n10 days; t3= 15 days), were evaluated by measurement of the
\nscavenging activity towards DPPH and ABTS radicals.
\nDPPH Assay
\n(2,2′-diphenyl-1- picrylhydrazyl)
\nλ=517 nm
\nABTS Assay
\n[2,2-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid)]
\nλ=734 nm
\nDPPH and ABTS radicals inhibition in O/W emulsions DPPH and ABTS radicals inhibition in W/O emulsions
\nThe homogenised mix (Fig. 10)
\nwas prepared to measure the
\nlevel of acidity of the primary
\nsource, brix degrees, water
\nactivity and humidity.
\nThe measurements of water activity and humidity are a key
\nparameter in the quality control of moisture-sensitive
\nproducts.
\nPreliminary analysis of pulp
\n4. Molecular structure of betanin present
\nin red beet root

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score0.793

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.105
GPT teacher head0.324
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueCINECA IRIS Institutional Research Information System (University of Basilicata)Same topicFace Recognition and PerceptionFrench-language works237,207