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ARS Home » Northeast Area » Beltsville, Maryland (BHNRC) » Beltsville Human Nutrition Research Center » Food Composition and Methods Development Laboratory » Research » Publications at this Location » Publication #359344
Title: Determination of variance of secondary metabolites in lettuces grown under different light sources by flow injection mass spectrometric (FIMS) fingerprinting and ANOVA-PCA

Author
item SUN, JIANGJAO - University Of Maryland
item ZHANG, MENGLIANG - Middle Tennessee State University
item Luo, Yaguang - Sunny
item KUBDELIA, NICOLA - Stanford University
item Harnly, James - Jim
item Chen, Pei

Submitted to: Journal of Analysis and Testing
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 10/31/2018
Publication Date: 11/20/2018
Citation: Sun, J., Zhang, M., Luo, Y., Kubdelia, N., Harnly, J.M., Chen, P. 2018. Determination of variance of secondary metabolites in lettuces grown under different light sources by flow injection mass spectrometric (FIMS) fingerprinting and ANOVA-PCA. Journal of Analysis and Testing. 2(4):312-321. https://doi.org/10.1007/s41664-018-0072-6.
DOI: https://doi.org/10.1007/s41664-018-0072-6

Interpretive Summary: Lettuce (Lactuca sativa L.) is one of the most consumed vegetables in the world and different management practices can result in variability of the secondary metabolites. Flow injection mass spectrometry (FIMS) combined with analysis of variance-principle component analysis (ANOVA-PCA) was used to study the secondary metabolite differences originating from different lighting conditions (Sunlight, white light, and florescent light) and cultivars (“Romaine” and “Lollo Rossa”. Ultra high-performance chromatography high-resolution mass spectrometry was used for putative marker compound identification. It was found that quinic acid, caffeic acid, chlorogenic acid, L-chicoric acid, and quercetin malonyl glucoside varied significantly for Romaine lettuce grown under different light conditions. The study showed that the combination of FIMS fingerprinting and ANOVA-PCA can be a useful tool for the characterization of the sources of variance in plant materials in regarding to genetic, environmental, and managemental factors.

Technical Abstract: Lettuce (Lactuca sativa L.) is one of the most consumed vegetables in the world and different management practice can result in considerable variability of the secondary metabolites. Flow injection mass spectrometry (FIMS) combined with analysis of variance-principle component analysis (ANOVA-PCA) was used to study differences in the secondary metabolites originating from different lighting conditions (Sunlight, white light, and florescent light) and lettuce varieties (Romaine and Lollo Rossa). Ultra-high-performance liquid chromatography high-resolution accurate mass spectrometry was used for putative marker compound identification. Quinic acid, caffeic acid, chlorogenic acid, L-chicoric acid, and quercetin malonyl glucoside varied significantly for Romaine lettuce grown under different light conditions. The study showed that the combination of FIMS fingerprinting and ANOVA-PCA can be a useful tool for the characterization of the sources of variance in plant materials regarding to genetic, environmental, and management factors.