Literature DB >> 26497505

Sugar Profile of Kernels as a Marker of Origin and Ripening Time of Peach (Prunus persicae L.).

Marija Stanojević1, Jelena Trifković2, Milica Fotirić Akšić3, Vera Rakonjac3, Dragan Nikolić3, Sandra Šegan4, Dušanka Milojković-Opsenica5.   

Abstract

Large amounts of fruit seeds, especially peach, are discarded annually in juice or conserve producing industries which is a potential waste of valuable resource and serious disposal problem. Regarding the fact that peach seeds can be obtained as a byproduct from processing companies their exploitation should be greater and, consequently more information of cultivars' kernels and their composition is required. A total of 25 samples of kernels from various peach germplasm (including commercial cultivars, perspective hybrids and vineyard peach accessions) differing in origin and ripening time were characterized by evaluation of their sugar composition. Twenty characteristic carbohydrates and sugar alcohols were determined and quantified using high-performance anion-exchange chromatography with pulsed amperometric detection (HPAEC/PAD). Sucrose, glucose and fructose are the most important sugars in peach kernels similar to other representatives of the Rosaceae family. Also, high amounts of sugars in seeds of promising hybrids implies that through conventional breeding programs peach kernels with high sugar content can be obtained. In addition, by the means of several pattern recognition methods the variables that discriminate peach kernels arising from diverse germplasm and different stage of maturity were identified and successful models for further prediction were developed. Sugars such as ribose, trehalose, arabinose, galactitol, fructose, maltose, sorbitol, sucrose, iso-maltotriose were marked as most important for such discrimination.

Entities:  

Keywords:  Anion-exchange chromatography; Multivariate analysis; Peach kernel; Sugar composition

Mesh:

Substances:

Year:  2015        PMID: 26497505     DOI: 10.1007/s11130-015-0515-4

Source DB:  PubMed          Journal:  Plant Foods Hum Nutr        ISSN: 0921-9668            Impact factor:   3.921


  10 in total

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Review 3.  Force fields and scoring functions for carbohydrate simulation.

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4.  Marzipan: polymerase chain reaction-driven methods for authenticity control.

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5.  Changes in fruit sugar concentrations in response to assimilate supply, metabolism and dilution: a modeling approach applied to peach fruit (Prunus persica).

Authors:  M Génard; F Lescourret; L Gomez; R Habib
Journal:  Tree Physiol       Date:  2003-04       Impact factor: 4.196

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8.  Composition of pulp, skin and seeds of prickly pears fruit (Opuntia ficus indica sp.).

Authors:  R L El Kossori; C Villaume; E El Boustani; Y Sauvaire; L Méjean
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9.  Measurement of short-chain carbohydrates in common Australian vegetables and fruits by high-performance liquid chromatography (HPLC).

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10.  Sugars profiles of different chestnut (Castanea sativa Mill.) and almond (Prunus dulcis) cultivars by HPLC-RI.

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Journal:  Plant Foods Hum Nutr       Date:  2010-03       Impact factor: 3.921

  10 in total
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1.  New insights in dehydration stress behavior of two maize hybrids using advanced distributed reactivity model (DRM). Responses to the impact of 24-epibrassinolide.

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Journal:  PLoS One       Date:  2017-06-23       Impact factor: 3.240

  1 in total

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