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基于多平台代谢组学的叶片生长过程中甜味/苦味化合物的代谢物谱分析与鉴定

Metabolite Profiling and Identification of Sweet/Bitter Taste Compounds in the Growth of Leaves Using Multiplatform Metabolomics.

作者信息

Chen Liang, Lu Dai, Wan Yuxi, Zou Yaqian, Zhang Ruiyi, Zhou Tao, Long Bin, Zhu Kangming, Wang Wei, Tian Xing

机构信息

TCM and Ethnomedicine Innovation & Development International Laboratory, Innovative Material Medical Research Institute, School of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China.

Department of Food and Drug Engineering, School of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China.

出版信息

Foods. 2024 Sep 27;13(19):3089. doi: 10.3390/foods13193089.

DOI:10.3390/foods13193089
PMID:39410123
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11475313/
Abstract

tea, also known as "sweet tea", an herbal tea with leaves as raw material, is famous for its unique nutritional benefits and flavor. However, due to the unique "bittersweet" of tea, it is still unable to fully satisfy consumers' high-quality taste experience and satisfaction. Therefore, this study aimed to explore metabolites in leaves during their growth period, particularly composition and variation of sweet and bitter taste compounds, by combining multi-platform metabolomics analysis with an electronic tongue system and molecular docking simulation technology. The results indicated that there were significant differences in the contents of total phenols, flavonoids, polysaccharides, and saponins in leaves in different growing months. A total of 575 secondary metabolites were identified as potential active metabolites related to sweet/bitter taste using nontargeted metabolomics based on UHPLC-MS/MS analysis. Moreover, molecular docking technology was utilized to study interactions between the candidate metabolites and the sweet receptors T1R2/T1R3 and the bitter receptors T2R4/T2R14. Six key compounds with high sweetness and low bitterness were successfully identified by using computational simulation analysis, including cis-anethole, gluconic acid, beta-D-Sedoheptulose, asparagine, proline, and citrulline, which may serve as candidates for taste modification in leaves. These findings provide a new perspective for understanding the sweet and bitter taste characteristics that contribute to the distinctive sensory quality of leaves.

摘要

茶,也被称为“甜茶”,是以叶片为原料的草本茶,以其独特的营养益处和风味而闻名。然而,由于茶独特的“苦甜味”,它仍无法完全满足消费者对高品质口感体验和满意度的需求。因此,本研究旨在通过将多平台代谢组学分析与电子舌系统和分子对接模拟技术相结合,探索茶树叶在生长期间的代谢产物,特别是甜味和苦味化合物的组成及变化。结果表明,不同生长月份的茶树叶中总酚、黄酮类、多糖和皂苷的含量存在显著差异。基于超高效液相色谱-串联质谱(UHPLC-MS/MS)分析的非靶向代谢组学共鉴定出575种次生代谢产物为与甜/苦味相关的潜在活性代谢产物。此外,利用分子对接技术研究了候选代谢产物与甜味受体T1R2/T1R3和苦味受体T2R4/T2R14之间的相互作用。通过计算模拟分析成功鉴定出6种高甜度、低苦味的关键化合物,包括顺式茴香脑、葡萄糖酸、β-D-景天庚酮糖、天冬酰胺、脯氨酸和瓜氨酸,它们可能作为茶树叶口味改良的候选物。这些发现为理解导致茶树叶独特感官品质的甜苦味特征提供了新的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38b1/11475313/7520df160330/foods-13-03089-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38b1/11475313/1ba33a09bd76/foods-13-03089-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38b1/11475313/0c8e07d3ed4d/foods-13-03089-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38b1/11475313/a3fac4c16a0f/foods-13-03089-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38b1/11475313/c9aab70b792a/foods-13-03089-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38b1/11475313/27d34395c096/foods-13-03089-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38b1/11475313/7520df160330/foods-13-03089-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38b1/11475313/1ba33a09bd76/foods-13-03089-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38b1/11475313/0c8e07d3ed4d/foods-13-03089-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38b1/11475313/a3fac4c16a0f/foods-13-03089-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38b1/11475313/c9aab70b792a/foods-13-03089-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38b1/11475313/27d34395c096/foods-13-03089-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38b1/11475313/7520df160330/foods-13-03089-g006.jpg

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