A review is presented demonstrating that biospecific interaction analysis, using surface plasmon resonance (SPR) and biosensor technologies is a simple, rapid, and automatable approach to detect genetically modified organisms (GMOs). Using SPR, we were able to monitor in real-time the hybridization between oligonucleotide or polymerase chain reaction (PCR)-generated probes and target single-stranded PCR products obtained by using as substrates DNA isolated from normal or transgenic soybean and maize. This procedure allows a one-step, nonradioactive detection of GMOs. PCR-generated probes are far more efficient in detecting GMOs than are oligodeoxyribonucleotide probes. This is expected to be a very important parameter, because information on low percentage of GMOs is of great value. Determination of the ability of SPR-based analysis to quantify GMOs should be considered a major research field for future studies, especially for the analyses of food supplies.

Surface plasmon resonance for detection of genetically modified organisms in the food supply

GAMBARI, Roberto;FERIOTTO, Giordana
2006

Abstract

A review is presented demonstrating that biospecific interaction analysis, using surface plasmon resonance (SPR) and biosensor technologies is a simple, rapid, and automatable approach to detect genetically modified organisms (GMOs). Using SPR, we were able to monitor in real-time the hybridization between oligonucleotide or polymerase chain reaction (PCR)-generated probes and target single-stranded PCR products obtained by using as substrates DNA isolated from normal or transgenic soybean and maize. This procedure allows a one-step, nonradioactive detection of GMOs. PCR-generated probes are far more efficient in detecting GMOs than are oligodeoxyribonucleotide probes. This is expected to be a very important parameter, because information on low percentage of GMOs is of great value. Determination of the ability of SPR-based analysis to quantify GMOs should be considered a major research field for future studies, especially for the analyses of food supplies.
2006
Gambari, Roberto; Feriotto, Giordana
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/516447
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