ASSESSMENT OF CARROTS PRODUCTION SYSTEM USING BIOLOGICALLY ACTIVE COMPOUNDS AND METABOLOMIC FINGERPRINTS

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F17%3A43914136" target="_blank" >RIV/60461373:22330/17:43914136 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

ASSESSMENT OF CARROTS PRODUCTION SYSTEM USING BIOLOGICALLY ACTIVE COMPOUNDS AND METABOLOMIC FINGERPRINTS

Original language description

Carrot (Daucus carota subsp. sativus) is a member of the Umbeliferae family. Carrot contains high quantities of carotenoids, particularly beta-carotene, and is also a good source of dietary fiber, manganese, potassium, ascorbic acid and other vitamins. The aim of this study was an investigation of the influence of farming conditions on the carrot quality. Two carrot varieties, Afalon and Cortina, were grown at locality Troja in the Czech Republic in two different planting densities (600 and 900 pieces per hectare), by organic, integrated, and conventional way of farming. Biologically active compounds in carrots such as carotenoids and ascorbic acid were quantified using LC based techniques with DAD detection and expressed on dry matter content. The higher content of vitamin C was found in variety Cortina. The main carotenoid detected in samples was beta-carotene, but alpha-carotene was also present in significant concentrations. The ratio of alpha- and betacarotene was constant (44:56). Higher carotenoid levels were detected in samples from conventional farming. The effect of mold infestation by Alternaria dauci was investigated as well, the induction of phytoalexine 6-methoxymelein was observed in organic samples. Metabolomic fingerprinting/profiling was used to assess authenticity of carrots. Characterization and classification of carrot samples according to their production system, variety and plant density was carried out using ultra-high performance liquid chromatography coupled to a quadrupole-timeof- flight mass spectrometry (UHPLC?Q-TOF-MS). Metabolomic fingerprints/profiles were obtained in both positive and negative ionisation mode; for chromatographic separation reverse phase and/ or HILLIC analytical column were used. To create robust statistical models, the obtained data were processed by advanced chemometric tools. Examples of PCA and OPLS-DA plots are presented in Figures 1 (way of farming) and 2 (variety and planting density). UHPLC-QTOFMS procedure followed by multivariate data analysis enabled differentiation between organic, integrated, and conventionally produced carrots. Developed statistical models can be also used to distinguish carrot varieties and planting density. Metabolomic data thus were successfully used to predict the production system of the analyzed samples. Additionally, several important marker compounds were tentatively identified.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

FOODINTEGRITY 2017 CONFERENCE

ISBN

978-88-941066-5-7

ISSN

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e-ISSN

neuvedeno

Number of pages

2

Pages from-to

247-248

Publisher name

Barilla

Place of publication

Parma

Event location

Parma

Event date

May 10, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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