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United States Department of Agriculture

Agricultural Research Service

Title: Rapid Screening of Ascorbic Acid, Glycoalkaloids and Phenolics in Potato Using High-Performance Liquid Chromatography

Authors
item Shakya, Roshani - WASHINGTON STATE UNIV
item Navarre, Duroy

Submitted to: Journal of Agricultural and Food Chemistry
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: May 17, 2006
Publication Date: June 21, 2006
Citation: Shakya, R., Navarre, D.A. 2006. Rapid screening of ascorbic acid, glycoalkaloids and phenolics in potato using high-performance liquid chromatography. Journal of Agricultural and Food Chemistry. (Online). 54:5253-5260.

Interpretive Summary: A method was developed which allows rapid analysis of numerous compounds in potato tubers, including glycoalkaloids, Vitamin C, and other potentially beneficial compounds. Over 30 of the most abundant compounds in methanolic extracts were identified and some of these compounds are thought to possess either health and nutritional value or are implicated in plant disease resistance. This work will facilitate the development of potatoes with enhanced nutritional value or enhanced disease resistance.

Technical Abstract: Evaluation of phenolic metabolism in potato tubers (Solanum tuberosum) would be facilitated by faster analytical methods. A high-throughput HPLC method was developed for the qualitative and quantitative determination in potato of numerous phenolic compounds, the sum of the glycoalkaloids chaconine and solanine, plus ascorbic acid. Following a fast extraction, HPLC run times of 12 min were achieved with the use of a monolithic RP C18 column. UV and MS analyses were used to characterize the phenolic complement in extracts from two white-fleshed varieties. Over 30 compounds were identified, some of which are thought to possess either nutritional value or are involved in plant disease resistance. This method is expected to be useful for germplasm mining and for varietal development programs in which large numbers of lines are generated.

Last Modified: 10/22/2014
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