AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Home Food Science Article
PDF (3.8 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Publishing Language: Chinese | Open Access

Comparison of Metabolite Changes in Lycium barbarum Bud Tea at Different Processing Stages by Widely Targeted Metabolomics

Jiayi WEI1,2 Jia MI2Bo ZHANG2Siyu WANG1Xinyu GE3Bo JIN2Qing LUO2Lutao ZHANG2Lu LU2 ( )Yamei YAN1,2 ( )
School of Food Science and Engineering, Ningxia University, Yinchuan 750021, China
Institute of Wolfberry Engineering Technology, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, China
School of Pharmacy, Ningxia Medical University, Yinchuan 750004, China
Show Author Information

Abstract

In this study, the changes in total polyphenols, total flavonoids and chlorogenic acid contents during the processing of Lycium barbarum bud tea were compared and analyzed, and the metabolite composition of the tea at different processing stages was systematically analyzed by widely targeted metabolomics to clarify their effects on the chemical composition of L. barbarum bud tea. The results showed that L. barbarum buds had the highest contents of total polyphenols, (43.65 ± 3.15) mg/g, total flavonoids, (10.68 ± 0.25) mg/g, and chlorogenic acid (5.24 ± 0.52) mg/g. The contents of these phenolic substances decreased significantly (P < 0.05) as bleaching, primary fixation, secondary fixation, frying and flavoring progressed. Notably, after the secondary fixation, the contents of total polyphenols, total flavonoids and chlorogenic acid decreased by 19%, 29% and 27%, respectively. Widely targeted metabolomics identified 594 metabolites belonging to 11 categories, including flavonoids, phenolic acids, alkaloids, amino acids and their derivatives, and lipids. In total, 270, 287, 298, 295, and 298 significantly differential metabolites were identified in L. barbarum buds versus bleaching, primary fixation, secondary fixation, frying and flavoring, respectively, with the major ones being flavonoids, nucleotides and their derivatives, phenolic acid, amino acids and their derivatives. These differential metabolites were predominantly enriched in metabolic pathways such as purine metabolism, niacin and nicotinamide metabolism, cysteine and methionine metabolism, and a small proportion of them was enriched in pathways like zeeatin biosynthesis, and ABC transporter. Significant differences were observed in inosine, homocysteine, cinnamic acid, 4-hydroxy-3-methoxycinnamic acid, and isoferulic acid among processing stages, indicating their involvement in the quality formation of L. barbarum bud tea during processing. The findings of this study provide a theoretical basis for understanding the changes in nutritional and functional components and for the quality control of L. barbarum bud tea during processing.

CLC number: S571.1 Document code: A Article ID: 1002-6630(2025)05-0245-10

References

[2]

POLLINI L, ROCCHI R, COSSIGNANI L, et al. Phenol profiling and nutraceutical potential of Lycium spp. leaf extracts obtained with ultrasound and microwave assisted techniques[J]. Antioxidants, 2019, 8(8): 260. DOI:10.3390/antiox8080260.

[5]

KALOYAN D G, ILIYA J S, IVAN A I. Antioxidant activity and antiproliferative effects of Lycium barbarum’s (Goji berry) fractions on breast cancer cell lines[J]. Folia Medica, 2019, 61(1): 104-112. DOI:10.2478/folmed-2018-0053.

[6]

XIAO X, REN W, ZHANG N, et al. Comparative study of the chemical constituents and bioactivities of the extracts from fruits, leaves and root barks of Lycium barbarum[J]. Molecules, 2019, 24(8): 1585. DOI:10.3390/molecules24081585.

[7]

CHOI E H, LEE D Y, PARK H S, et al. Changes in the profiling of bioactive components with the roasting process in Lycium chinense leaves and the anti-obesity effect of its bioaccessible fractions[J]. Journal of the Science of Food and Agriculture, 2019, 99(9): 4482-4492. DOI:10.1002/jsfa.9687.

[8]

KOŞAR M, KARATOPRAK G Ş, ATLI B, et al. Unveiling the antioxidant, cytotoxic, and anti-inflammatory activities and chemical compositional information of an invasive plant: Lycium ferocissimum Miers[J]. Plants, 2024, 13(7): 1035. DOI:10.3390/plants13071035.

[9]

ZHANG B, WANG M Z, WANG C, et al. Endogenous calcium attenuates the immunomodulatory activity of a polysaccharide from Lycium barbarum L. leaves by altering the global molecular conformation[J]. International Journal of Biological Macromolecules, 2019, 123: 182-188. DOI:10.1016/j.ijbiomac.2018.11.067.

[15]

FRASER K, LANE G A, OTTER D E, et al. Non-targeted analysis by LC-MS of major metabolite changes during the oolong tea manufacturing in New Zealand[J]. Food Chemistry, 2014, 151: 394-403. DOI:10.1016/j.foodchem.2013.11.054.

[16]

LI J, HUA J J, YUAN H B, et al. Investigation on green tea lipids and their metabolic variations during manufacturing by nontargeted lipidomics[J]. Food Chemistry, 2021, 339: 128114. DOI:10.1016/j.foodchem.2020.128114.

[18]

WANG J, LI Z. Effects of processing technology on tea quality analyzed using high-resolution mass spectrometry-based metabolomics[J]. Food Chemistry, 2024, 443: 138548. DOI:10.1016/j.foodchem.2024.138548.

[22]

XIONG Q Q, SUN C H, LI A, et al. Metabolomics and biochemical analyses revealed metabolites important for the antioxidant properties of purple glutinous rice[J]. Food Chemistry, 2022, 389: 133080. DOI:10.1016/j.foodchem.2022.133080.

[25]

FANG Z T, SONG C J, XU H R, et al. Dynamic changes in flavonol glycosides during production of green, yellow, white, oolong and black teas from Camellia sinensis L. (cv. Fudingdabaicha)[J]. International Journal of Food Science & Technology, 2019, 54(2): 490-498. DOI:10.1111/ijfs.13961.

[28]

WANG H J, HUA J J, YU Q Y, et al. Widely targeted metabolomic analysis reveals dynamic changes in non-volatile and volatile metabolites during green tea processing[J]. Food Chemistry, 2021, 363: 130131. DOI:10.1016/j.foodchem.2021.130131.

[29]

CHEN S, LIU H H, ZHAO X M, et al. Non-targeted metabolomics analysis reveals dynamic changes of volatile and non-volatile metabolites during oolong tea manufacture[J]. Food Research International, 2020, 128: 108778. DOI:10.1016/j.foodres.2019.108778.

[32]

GAO Y, CAO Q Q, CHEN Y H, et al. Effects of the baking process on the chemical composition, sensory quality, and bioactivity of Tieguanyin oolong tea[J]. Frontiers in Nutrition, 2022, 9: 881865. DOI:10.3389/fnut.2022.881865.

[33]

SHI D D, SAVANI M R, ABDULLAH K G, et al. Emerging roles of nucleotide metabolism in cancer[J]. Trends in Cancer, 2023, 9(8): 624-635. DOI:10.1016/j.trecan.2023.04.008.

Food Science
Pages 245-254
Cite this article:
WEI J, MI J, ZHANG B, et al. Comparison of Metabolite Changes in Lycium barbarum Bud Tea at Different Processing Stages by Widely Targeted Metabolomics. Food Science, 2025, 46(5): 245-254. https://doi.org/10.7506/spkx1002-6630-20240803-021

115

Views

3

Downloads

0

Crossref

0

Scopus

0

CSCD

Altmetrics

Received: 03 August 2024
Published: 15 March 2025
© Beijing Academy of Food Sciences 2025.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Return