Ng, EC; Dunford, NT; Chenault, K
Journal of Bioscience and Bioengineering. 2008 October. 106(4):350-356
Link to full text (open access, freely available)
PMID: 19000610 DOI: 10.1263/jbb.106.350 ISSN: 1389-1723
Genetic engineering has been used to modify peanut cultivars for improving agronomic performance and pest resistance. Food products developed through genetic engineering have to be assessed for their safety before approval for human consumption. Preservation of desirable chemical, flavor and aroma attributes of the peanut cultivars during the genetic modifications is critical for acceptance of genetically modified peanuts (GMP) by the food industry. Hence, the main objective of this study is to examine chemical characteristics and volatile profile of GMP. The genetically modified peanut cultivars, 188, 540 and 654 were obtained from the USDA-ARS in Stillwater, Oklahoma. The peanut variety Okrun was examined as a control. The volatile analysis was performed using a gas chromatograph/mass spectrometer (GC/MS) equipped with an olfactory detector. The peanut samples were also analyzed for their moisture, ash, protein, sugar and oil compositions. Experimental results showed that the variations in nutritional composition of peanut lines examined in this study were within the values reported for existing cultivars. There were minor differences in volatile profile among the samples. The implication of this study is significant, since it shows that peanut cultivars with greater pest and fungal resistance were successfully developed without major changes in their chemical characteristics.
Ng, EC, NT Dunford, K Chenault. "Chemical characteristics and volatile profile of genetically modified peanut cultivars." Journal of Bioscience and Bioengineering 106.4 (2008): 350-356. Web. 27 Jul. 2017.
Ng, EC., Dunford, NT., & Chenault, K. (2008). Chemical characteristics and volatile profile of genetically modified peanut cultivars. Journal of Bioscience and Bioengineering, 106(4), 350-356. doi:10.1263/jbb.106.350
Please verify citations before use, citations are automatically generated based on information stored within the GENERA database and therefore may or may not be correct.