Metabolomic Strategies Based on High-Resolution Mass Spectrometry as a Tool for Recognition of GMO (MON 89788 Variety) and Non-GMO Soybean: a Critical Assessment of Two Complementary Methods

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F17%3A43913763" target="_blank" >RIV/60461373:22330/17:43913763 - isvavai.cz</a>
Alternative codes found
RIV/60461373:22810/17:43913763 RIV/00027006:_____/17:00004243
Result on the web
<a href="https://link.springer.com/article/10.1007%2Fs12161-017-0929-8" target="_blank" >https://link.springer.com/article/10.1007%2Fs12161-017-0929-8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12161-017-0929-8" target="_blank" >10.1007/s12161-017-0929-8</a>

Result language
angličtina
Original language name
Metabolomic Strategies Based on High-Resolution Mass Spectrometry as a Tool for Recognition of GMO (MON 89788 Variety) and Non-GMO Soybean: a Critical Assessment of Two Complementary Methods
Original language description
This study was focused on distinguishing of genetically modified organism (Monsanto 89788 variety) and conventional soybeans by employing high-resolution mass spectrometry (HRMS) techniques for non-target screening of sample extracts. Two hyphenated instrumental platforms represented by (i) ultrahigh-performance liquid chromatography (U-HPLC) coupled to quadrupole/time of flight and (ii) ambient mass spectrometry with direct analysis in real time (DART) ion source-coupled OrbitrapMS were used. The statistical processing of generated data (metabolomic fingerprints) was performed by multivariate data analysis; principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) showed that both employed techniques enabled correct classification of genetically modified and conventional soybeans. In addition, some phosphatidylcholines and sugars were identified as the most significant markers.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10611 - Plant sciences, botany

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

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