The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Comparative metabolomic study of transgenic versus conventional soybean using capillary electrophoresis-time-of-flight mass spectrometry
Open accessAbstract
In this work, capillary electrophoresis-time-of-flight mass spectrometry (CE-TOF-MS) is proposed to identify and quantify the main metabolites found in transgenic soybean and its corresponding non-transgenic parental line both grown under identical conditions. The procedure includes optimization of metabolites extraction, separation by CE, on-line electrospray-TOF-MS analysis and data evaluation. A large number of extraction procedures and background electrolytes are tested in order to obtain a highly reproducible and sensitive analytical methodology. Using this approach, a large number of metabolites were tentatively identified based on the high mass accuracy provided by TOF-MS analyzer, together with the isotopic pattern and expected electrophoretic mobility of these compounds. In general, the same metabolites and in similar amounts were found in the conventional and transgenic variety. However, significant differences were also observed in some specific cases when the conventional variety was compared with its corresponding transgenic line. The selection of these metabolites as possible biomarkers of transgenic soybean is discussed, although a larger number of samples need to be analyzed in order to validate this point. It is concluded that metabolomic procedures based on CE-MS can open new perspectives in the study of transgenic foods in order to corroborate (or not) the equivalence with their conventional counterparts.
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“Independent studies have shown the compositional equivalence of the current generation of GE crops (Cheng et al., 2008; Garcia-Villalba et al., 2008; Herman and Price, 2013; Hollingworth et al., 2003)”
From Prevalence and impacts of genetically engineered feedstuffs on livestock populations1 (2014) · cites this paper as Garcia-Villalba et al., 2008
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Cites
Mass spectrometry in the structural analysis of flavonoids
Cuyckens, F., & Claeys, M. (2004) · Journal of Mass Spectrometry · doi:10.1002/jms.585 · Cited by 1,086
Yield effects of genetically modified crops in developing countries
Qaim, M., & Zilberman, D. (2003) · Science · doi:10.1126/science.1080609 · Cited by 757
Kind, T., & Fiehn, O. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-234 · Cited by 639
The Structure and Distribution of the Flavonoids in Plants
Iwashina, T. (2000) · Journal of Plant Research · doi:10.1007/pl00013940 · Cited by 488
Fungal pathogen protection in potato by expression of a plant defensin peptide
Gao, A.-G., Hakimi, S. M., Mittanck, C. A., Wu, Y., Woerner, B. M., Stark, D. M., Shah, D. M., Liang, J., & Rommens, C. M. T. (2000) · Nature Biotechnology · doi:10.1038/82436 · Cited by 472
Molecular basis for the herbicide resistance of Roundup Ready crops
Funke, T., Han, H., Healy-Fried, M. L., Fischer, M. J., & Schönbrunn, E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0603638103 · Cited by 383
Anklam, E., Gadani, F., Heinze, P., Pijnenburg, H. C. H., & den Eede, G. V. (2002) · European Food Research and Technology · doi:10.1007/s002170100415 · Cited by 296
The Composition of Glyphosate-Tolerant Soybean Seeds Is Equivalent to that of Conventional Soybeans
Padgette, S. R., Taylor, N. B., Nida, D. L., Bailey, M. R., MacDonald, J., Holden, L. R., & Fuchs, R. L. (1996) · Journal of Nutrition · doi:10.1093/jn/126.3.702 · Cited by 278
Vaïtilingom, M., Pijnenburg, H. C. H., Gendre, F., & Brignon, P. (1999) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf981208v · Cited by 217
James, D., Schmidt, A., Wall, E. M., Green, M., & Masri, S. A. (2003) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf0341159 · Cited by 197
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- Wei, 2004, J. Food Drug Anal., 12, 324
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Knoke, L., & Rettberg, N. (2021) · ACS Omega · doi:10.1021/acsomega.1c04426 · Cited by 3
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León, C., & Cifuentes, A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-813266-1.00015-2 · Cited by 3
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Unintended effects assessment of genetically modified crops using omics techniques
Zhao, Y., & Li, Y. (2013) · Hereditas (Beijing) · doi:10.3724/sp.j.1005.2013.01360 · Cited by 2
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Valdés, A., Cifuentes, A., & García‐Cañas, V. (2014) · CRC Press eBooks · doi:10.1201/b17573-3 · Cited by 2
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Frank, T., & Engel, K. (2013) · doi:10.4155/ebo.13.323 · Cited by 2
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Tiwari, N., Barpete, S., Kumar, T., Saxena, D. R., & Maalouf, F. (2023) · Springer eBooks · doi:10.1007/978-981-99-3358-7_8 · Cited by 1
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Bragg, W. A., & Shamsi, S. A. (2010) · Wiley eBooks · doi:10.1002/9780470027318.a9078 · Cited by 1
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García‐Cañas, V., & Cifuentes, A. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-384862-8.00018-2
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LC-(Q) TOF-MS Characterization of Phenolic Antioxidants
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Antoni de Capmany, llums i ombres
Vilar, P. (2001) · Revista econòmica de Catalunya/Revista econòmica de Catalunya
Current literature in mass spectrometry
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Reçber, T., & Çelebi̇er, M. (2022) · Current and future developments in food science · doi:10.2174/9789815036152122020017
Patel, S. K., George, B., Jain, N. K., & Rai, V. (2023) · Sustainable agriculture reviews · doi:10.1007/978-3-031-21630-5_5
de Oliveira, R. C., Zarta, H. H. H., Losada, W. A. M., Caruso, S. J., Cremasco, H., Bona, E., Rutledge, D. N., & Galvan, D. (2025) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2025.105621
Metadata
- Authors
- García-Villalba, R., León, C., Dinelli, G., Segura-Carretero, A., Fernández-Gutiérrez, A., Garcia-Cañas, V., & Cifuentes, A.
- Affiliations
- Consejo Superior de Investigaciones Científicas (ES)
- University of Bologna (IT)
- Venue
- Journal of Chromatography A
- Publisher
- Elsevier BV
- Published
- 2008-06
- Volume
- 1195
- Issue
- 1-2
- Pages
- 164-173
- ISSN
- 0021-9673 (ISSN-L)
- OpenAlex
- W1966413091
- Cited by
- 129
- References
- 55
- Citations by year
- 2025: 2 · 2023: 7 · 2022: 4 · 2021: 5 · 2020: 8 · 2019: 8 · 2018: 5 · 2017: 7 · 2016: 7 · 2015: 8 · 2014: 12 · 2013: 15 · 2012: 9
- FWCI
- 12.50
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Journal of Chromatography A (publishedVersion)
- PubMed (publishedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- Institutional Repository of the University of Granada (University of Granada) (submittedVersion, cc-by-nc-nd)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, other-oa)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetically Modified Organisms Research
- Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Capillary Electrophoresis Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- transgenic soybean, metabolomics, metabolite extraction, supporting electrolyte
- MeSH terms
- Glycine max, Electrophoresis, Capillary, Spectrometry, Mass, Electrospray Ionization, Plant Preparations, Plants, Genetically Modified
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