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Identification of health-promoting bioactive phenolics in black walnut using cloud-based metabolomics platform

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Abstract

This study aimed to identify bioactive phenolics of eleven black walnut cultivars using a cloud-based metabolomics platform. The metabolomics software platform, XCMS Online, was used to incorporate peak detection, peak grouping, spectra extraction and non-linear retention time correction/alignment. In total, 49 phenolics previously known to promote health benefits were putatively identified in the black walnut kernels. The relative abundance of these phenolics differed significantly among the studied cultivars. Antioxidant activity of the Mystry extract was highest among the six examined cultivars. In addition, the antioxidant activities were found to be positively correlated with the relative abundance of thirteen phenolics. The principal component analysis provided a visible differentiation in phenolic metabolite profiles among the examined black walnuts. The results of hierarchical cluster analysis showed three clusters of black walnuts. Mystry differed from the other cultivars due to its highest relative abundance of gallic acid and ellagitannins. This study demonstrated that metabolite profiling could be an efficient analytical tool to identify potential health-promoting compounds and investigate metabolite variations among black walnuts.

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Acknowledgements

The authors would like to thank the Center for Agroforestry, University of Missouri under cooperative agreement 58-6227-1-004 with the USDA-ARS and Missouri Department of Agriculture Specialty Crop Block Grant Program (SCBGP) #16SCBGPMO0003 for supporting this research. The MU Metabolomics Center has been graciously supported by several entities over the years for plant metabolomics. These specifically include support from the University of Missouri, The Samuel Roberts Noble Foundation, Bruker Daltonics GmbH, Agilent Technologies, US National Science Foundation (NSF)-JST Metabolomics for a Low Carbon Society #1139489, NSF MRI DBI #1126719, NSF RCN #1340058, and NSF MCB #1024976.

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Authors and Affiliations

  1. Center for Agroforestry, School of Natural Resources, University of Missouri, 203G Anheuser-Busch Natural Resources Building, Columbia, MO, USA

    Danh C. Vu, Jihyun Park, Khanh-Van Ho & Chung-Ho Lin

  2. Metabolomics Center, University of Missouri, Columbia, MO, USA

    Lloyd W. Sumner & Zhentian Lei

  3. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA

    Lloyd W. Sumner, Zhentian Lei, C. Michael Greenlief & Brian Mooney

  4. Charles W. Gehrke Proteomics Center, University of Missouri, Columbia, MO, USA

    C. Michael Greenlief & Brian Mooney

  5. Hardwood Tree Improvement and Regeneration Center, United States Department of Agriculture, Forest Service, Northern Research Station, West Lafayette, IN, USA

    Mark V. Coggeshall

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  1. Danh C. Vu
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  2. Jihyun Park
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  3. Khanh-Van Ho
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  4. Lloyd W. Sumner
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  5. Zhentian Lei
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  6. C. Michael Greenlief
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  7. Brian Mooney
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  8. Mark V. Coggeshall
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  9. Chung-Ho Lin
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Correspondence to Chung-Ho Lin.

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Vu, D.C., Park, J., Ho, KV. et al. Identification of health-promoting bioactive phenolics in black walnut using cloud-based metabolomics platform. Food Measure 14, 770–777 (2020). https://doi.org/10.1007/s11694-019-00325-y

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  • DOI: https://doi.org/10.1007/s11694-019-00325-y

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