Classification and metabolomic profiling of walnut pellicle polyphenols using a Pseudotargeted metabolomics approach
Chang Liu, Mingxue Geng, Jiaxin Yin, Huibo Zhao, Bing Qi, Huiqing Li, Di Wang, Yanbing Wu, Shengxing Dai, Min Lu, Kuizhang Yao, Junxia Xia, Jiankang Deng
TL;DR
Researchers used a new method to classify and analyze walnut pellicle polyphenols, revealing regional differences in their chemical makeup and biosynthesis.
Contribution
The study introduces a pseudotargeted metabolomics approach to comprehensively profile and classify walnut pellicle polyphenols.
Findings
406 polyphenolic compounds were identified and classified from walnut pellicle samples.
Multivariate analyses revealed region-specific metabolic fingerprints in walnut pellicle polyphenols.
KEGG analysis showed significant regional differences in flavonoid and phenylpropanoid biosynthesis.
Abstract
Walnut pellicle is rich in polyphenols that enhance antioxidant capacity and health benefits, including anti-inflammatory and neuroprotective effects. Profiling these compounds has been hindered by their structural diversity, regional variability, and the limitations of traditional metabolomics approaches. This study employed a pseudotargeted metabolomics strategy, integrating ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) for untargeted profiling and multiple reaction monitoring (MRM) on a QTRAP system for semi-quantification. We analyzed 21 walnut pellicle samples from Xinjiang, Yunnan and the Taihang Mountains, identifying 406 polyphenols, including flavonoids, hydrolysable tannins, phenolic acids, coumarins, lignans and minor constituents. Multivariate analyses (PCA, PLS-DA, OPLS-DA) revealed region-specific metabolic…
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Taxonomy
TopicsNuts composition and effects · Metabolomics and Mass Spectrometry Studies · Sirtuins and Resveratrol in Medicine