Chemical pattern of brazilian apples: a chemometric approach based on the Fuji and Gala varieties

Vieira, Renato Giovanetti; Prestes, Rosilene Aparecida; Denardi, Frederico; Nogueira, Alessandro; Wosiacki, Gilvan

doi:10.1590/s0101-20612011000200021

Cited by 4 publications

(5 citation statements)

References 10 publications

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“…This indicates that the leaf and fruit morphometric analysis performed in this trial may represent a simple and powerful tool to identify and classify white mulberry cultivars. Good discriminatory power could also be obtained using different approaches, such as circularity and elliptical Fourier descriptors [28], fruit chemometric descriptors [29], topological data analysis [30], or even machine learning methods [31] although those kind of measurements require more complex analytical approaches.…”

Section: Resultsmentioning

confidence: 99%

Use of Leaf and Fruit Morphometric Analysis to Identify and Classify White Mulberry (Morus alba L.) Genotypes

Bianco

Mirabella

2018

Agriculture

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Digital image analysis and multivariate data analysis were used in this study to identify a set of leaf and fruit morphometric traits to discriminate white mulberry (Morus alba L.) cultivars. The trial was conducted using three- to five-year-old potted cuttings of several white mulberry cultivars. 32 leaf morphometric descriptors were recorded in 2011 and 2012 from 11 mulberry cultivars using image analysis of scanned leaves, whereas six fruit descriptors were recorded in 2011 from nine mulberry cultivars. Linear discriminant analysis (LDA) was used to identify a subset of measured variables that could discriminate the cultivars in trial. Biplot analysis, followed by cluster analysis, was performed on the discriminant variables to investigate any possible cultivar grouping based on similar morphometric traits. LDA was able to discriminate the 11 cultivars with a canonical function, which included 13 leaf descriptors. Using those 13 descriptors, the Biplot showed that over 84% of the variability could be explained by the first three factors. Clustering of standardized biplot coordinates recognized three groups: the first including ‘Korinne’ and ‘Miura’ with similar leaf angles and apical tooth size; the second including ‘Cattaneo’, ‘Florio’, ‘Kokusò-21’, ‘Kokusò-27’, and ‘Kokusò Rosso’ with similar leaf size and shape; and the third including ‘Ichinose’, ‘Kayrio’, ‘Morettiana’, and ‘Restelli’, with similar leaf margin. Fruit descriptors were fewer and measured on fewer cultivars, yielding smaller discriminatory power than leaf descriptors. Use of leaf morphometric descriptors, along with image and multivariate analysis, proved to be effective for discriminating mulberry cultivars and showed promise for the implementation of a simple and inexpensive characterization and classification tool.

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Section: Resultsmentioning

confidence: 99%

Use of Leaf and Fruit Morphometric Analysis to Identify and Classify White Mulberry (Morus alba L.) Genotypes

Bianco

Mirabella

2018

Agriculture

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“…An apple juice (from Fuji and Gala varieties; genus and species not stated) was obtained by mechanical pressure, depectinized in a water bath (2 h at 45°C), filtered through paper, bottled, closed, and stabilized by freezing. 19 Pyrus Malus (Apple) Pectin Extract. A simple procedure for the extraction of Pyrus Malus (Apple) Pectin Extract has been described as follows: 20 Approximately 40 g of fruit were washed with normal saline (.90% w/v sodioum chloride in water)], after which the fruit sample was crushed and homogenized in a blender.…”

Section: Methods Of Manufacturementioning

confidence: 99%

Section: Chemistrymentioning

confidence: 99%

“…Juice from the Fuji and Gala apple varieties (genus and species not stated) in Brazil has the following composition: 19 malic acid (.18 - .389 g/100 mL), total reducing sugar (8.65 - 15.18 g/100 mL), and total phenolic compounds (100 - 400 mg/L). In comparison, apple juice from the Golden delicious variety contains: malic acid (.312 g/100 mL), total reducing sugar (10.533 g/100 mL), and total phenolic compounds (535.082 mg/L).…”

Section: Chemistrymentioning

confidence: 99%

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Safety Assessment of Apple-Derived Ingredients as Used in Cosmetics

Johnson¹,

Bergfeld²,

Belsito³

et al. 2023

Int J Toxicol

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The Expert Panel for Cosmetic Ingredient Safety (Panel) reviewed the safety of 26 apple-derived ingredients, which reportedly function mostly as skin conditioning agents in cosmetic products. Because apple-derived ingredients may be obtained from different apple cultivars, the composition of ingredients derived from different cultivars should be similar to that of ingredients reviewed in this safety assessment. Additionally, industry should continue to use good manufacturing practices to limit impurities that could be present in botanical ingredients. The Panel reviewed the available data to determine the safety of these ingredients and concluded that 21 of these ingredients are safe in cosmetics in the present practices of use and concentrations described in this safety assessment. However, the Panel also determined that the available data are insufficient to determine the safety of Pyrus Malus (Apple) Root Extract, Pyrus Malus (or Malus Domestica) (Apple) Stem Extract, Malus Domestica (Apple) Callus Extract, and Malus Domestica (Apple) Oil.

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“…In the opposite, the hierarchically clustered heatmaps do not need a dimensionality reduction to visualize complex biological data by displaying network connections in a symmetric adjacency matrix. The two abovementioned chemometric approaches were widely used in several studies to discriminate biological material, such as apple juice [67,68], litchi fruits [69], and Surinam cherry leaves [70].…”

Section: Two Dimensional Clustered Heatmapmentioning

confidence: 99%

Exploring Antioxidant Activity, Organic Acid, and Phenolic Composition in Strawberry Tree Fruits (Arbutus unedo L.) Growing in Morocco

Zitouni

Hssaini²,

Ouaabou

et al. 2020

Plants

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This study aimed to explore the main biochemical components and the antioxidant capacity of five strawberry tree fruits using three antioxidant essays within the ecotypic comparison scheme, to find out the most valuable fruit presenting disease-preventing properties. Total phenols, total flavonoids, total anthocyanins, antioxidant activity (DPPH, ABTS, and β-Carotene bleaching assays), pH, titratable acidity, soluble solids, and moisture content were investigated in five strawberry tree genotypes belonging to several areas in Morocco. Phenolic compounds were also identified using high performance chromatography (HPLC), with a diode array detector (DAD). High significant differences (p ˂ 0.05) were revealed among the examined genotypes regarding their total phenols (25.37–39.06 mg gallic acid equivalents (GAE)/g Dry weight (DW), total flavonoids (3.30–7.07 mg RE/g Dry weight (DW), total anthocyanins (0.15–0.64 mg cya-3-glu/100g Dry weight (DW), pH (2.44–3.92), titratable acidity (0.65–1.01 g malic acid/100g Fresh weight (FW), and soluble solids (14.83–18.53%). The average radical scavenging capacity, assessed using three methods, exhibited the following concentration ranges: 3.33–21.08, 2.25–19.58, and 1.08–13 mg Ascorbic Equivalent (AAE/g Dry weight(DW) for the DPPH scavenging test, ABTS, and β-carotene bleaching, respectively. Seventeen phenolic compounds were identified in sampled cultivars. Gallocatechol and catechin were found to be the major phenolic compounds. The correlation matrix revealed significant correlations among investigated variables, particularly ABTS and DPPH. The principal component analysis showed that the first three components formed 90.25% of the total variance. The following variables: chlorogenic acid, ellagic acid derivative, ellagic acid, rutin, and cyanidin−30.5-diglucoside, were the most involved in the total variance. The results revealed highly promising physico-biochemical profiles within the studied strawberry tree genotypes.

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Chemical pattern of brazilian apples: a chemometric approach based on the Fuji and Gala varieties

Cited by 4 publications

References 10 publications

Use of Leaf and Fruit Morphometric Analysis to Identify and Classify White Mulberry (Morus alba L.) Genotypes

Use of Leaf and Fruit Morphometric Analysis to Identify and Classify White Mulberry (Morus alba L.) Genotypes

Safety Assessment of Apple-Derived Ingredients as Used in Cosmetics

Exploring Antioxidant Activity, Organic Acid, and Phenolic Composition in Strawberry Tree Fruits (Arbutus unedo L.) Growing in Morocco

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