Application of widely targeted metabolomics strategy to reveal the evolution of phenolic color-contributing metabolites during the high pressure processing and thermal processing of blueberry juice
Xu Xie, Yuehua Wang, Jinlong Tian, Zhen Cheng, Hailong Gui, Yujie Nie, Ran Zhang, Bosu Wen, Bin Li
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引用次数: 0
Abstract
The correlation among blueberry juice (BJ) color, anthocyanins and antioxidant capacity is well established. However, it remains unclear whether the color change in processed BJ is caused by the generation of phenolic color-contributing metabolites. This study integrated biochemical data and widely targeted metabolomics (WTM) to investigate the evolution of color related metabolites in BJ. The results showed that thermal processing (TP) promoted the darkening of BJ color and increased the content of total phenols and anthocyanins than high pressure processing (HPP). Fifty differential phenolics related to color changes in BJ were further identified and screened through WTM. TP enhances the phenylalanine biosynthesis and the anthocyanins C-ring cleavage pathways, and increases the degradation products of 1,3,5-benzenetriol and 4-hydroxybenzoic acid, indicating that TP triggers thermally induced reactions for anthocyanin synthesis, release, and degradation. This study aims to provide new insights into the color evolution process during BJ processing.
期刊介绍:
Food Chemistry: X, one of three Open Access companion journals to Food Chemistry, follows the same aims, scope, and peer-review process. It focuses on papers advancing food and biochemistry or analytical methods, prioritizing research novelty. Manuscript evaluation considers novelty, scientific rigor, field advancement, and reader interest. Excluded are studies on food molecular sciences or disease cure/prevention. Topics include food component chemistry, bioactives, processing effects, additives, contaminants, and analytical methods. The journal welcome Analytical Papers addressing food microbiology, sensory aspects, and more, emphasizing new methods with robust validation and applicability to diverse foods or regions.