KeLDa : studie distribuce GMO ve velkých zásilkách sóji

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027006%3A_____%2F06%3A1467" target="_blank" >RIV/00027006:_____/06:1467 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Kernel lot distribution assessment (KeLDA): a study on the distribution of GMO in large soybean shipments

Popis výsledku v původním jazyce

The reliability of analytical testing is strongly affected by sampling uncertainty. Sampling is always a source of error and the aim of ?good? sampling practice is to minimize this error. Generally the distribution of genetically modified (GM) material within lots is assumed to be random in order to use binomial distribution to make inferences. This assumption was never verified in practice and no experimental data investigating the distribution of genetically modified organisms (GMOs) exist. The objectives of the KeLDA project were: (1) to assess the distribution of GM material in soybean lots (2) to estimate the amount of variability of distribution patterns among lots. The GM content of 15 soybean lots imported into the EU was estimated (using real-time PCR methodology) analyzing 100 increment samples systematically sampled from each lot at predetermined time intervals during the whole period of off-loading. The distribution of GM material was inferred by the one-dimensional (tempor

Název v anglickém jazyce

Kernel lot distribution assessment (KeLDA): a study on the distribution of GMO in large soybean shipments

Popis výsledku anglicky

The reliability of analytical testing is strongly affected by sampling uncertainty. Sampling is always a source of error and the aim of ?good? sampling practice is to minimize this error. Generally the distribution of genetically modified (GM) material within lots is assumed to be random in order to use binomial distribution to make inferences. This assumption was never verified in practice and no experimental data investigating the distribution of genetically modified organisms (GMOs) exist. The objectives of the KeLDA project were: (1) to assess the distribution of GM material in soybean lots (2) to estimate the amount of variability of distribution patterns among lots. The GM content of 15 soybean lots imported into the EU was estimated (using real-time PCR methodology) analyzing 100 increment samples systematically sampled from each lot at predetermined time intervals during the whole period of off-loading. The distribution of GM material was inferred by the one-dimensional (tempor

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

GM - Potravinářství

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2006

Kód důvěrnosti údajů

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

Název periodika

European Food Research and Technology

ISSN

1438-2377

e-ISSN

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Svazek periodika

2006

Číslo periodika v rámci svazku

224

Stát vydavatele periodika

RU - Ruská federace

Počet stran výsledku

11

Strana od-do

129-139

Kód UT WoS článku

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EID výsledku v databázi Scopus

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