Difference of Enzyme Metabolites in Yunnan Arabica Coffee from Different Primary Processing was Analyzed Based on Nnon-targeted Metabolomics
DOI:
https://doi.org/10.54097/m447m024Keywords:
Coffee, Primary processing, non-targeted metabolomics, Non-volatile metabolite.Abstract
In order to explore the changes of non-volatile metabolites in Yunnan arabica coffee (Coffea arabica L.) by different primary processing methods, the coffee samples were systematically analyzed by non-targeted metabolomics technology in raw and cooked beans of different primary processed coffee beans. The results showed that although the raw materials of coffee beans with different primary processing were the same, there were great differences in metabolites due to different processing methods. Shikic acid and phenyl propionic acid and their derivatives, alkaloids and their metabolites, fatty acids and their metabolites were the main significant differences in coffee samples. Different primary processing methods may have important contributions to the formation of different taste qualities of coffee beans. According to the analysis of metabolic pathway enrichment in Kyoto Encyclopedia of Genes and Genome, different compounds were significantly enriched in metabolic pathways, biosynthesis of secondary metabolites, bio anabolic pathway of amino acids, bio anabolic pathway of cofactors, metabolic pathway of 2-oxo-carboxylic acid and ABC transporter (P < 0.05).This study further explored the main non-volatile metabolites that affect the flavor and quality of coffee in different primary processing methods, which is of great significance for the improvement of coffee flavor quality.
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[1] Aaron, P., Davis, A. P., et al. (2006). An annotated taxonomic conspectus of the genus Coffea (Rubiaceae). Botanical Journal of the Linnean Society, 152 (4), 465 - 512.
[2] Dong, W., Hu, R., Zhao, J., et al. (2020). Dynamics of volatile compounds in raw coffee beans during accelerated storage revealed by HS-SPME-GC/MS and electronic nose analysis. Journal of Food Science and Technology, 57 (7), 250 - 262.
[3] Dong, W., Hu, R., Long, Y., et al. (2019). Comparative evaluation of the volatile profiles and taste properties of roasted coffee beans as affected by drying method and detected by electronic nose, electronic tongue, and HS-SPME-GC-MS. Food Chemistry, 272, 723 - 731.
[4] Wang, Y., Wang, X., Hu, G., et al. (2023). Comparative studies of fermented coffee fruits post-treatments on chemical and sensory properties of roasted beans in Yunnan, China. Food Chemistry, 423, 136332.
[5] Dong, W., Tan, L., Zhao, J., et al. (2015). Characterization of fatty acid, amino acid and volatile compound compositions and bioactive components of seven coffee (Coffea robusta) cultivars grown in Hainan Province, China. Molecules, 20 (9), 16687 - 16708.
[6] Wang, Y., Xiao, B., Tan, C., et al. (2020). Optimization of extraction technology and antioxidant activity analysis of total flavonoids from Arabica coffee pericarp. Food Science & Nutrition, 8 (2), 385 - 393.
[7] Barrios-Rodriguez, Y. F., Salgado-Cervantes, M. A., et al. (2020). Effect of the postharvest processing method on the biochemical composition and sensory analysis of Arabica coffee. Engenharia Agrícola, 40 (2), 177 – 183.
[8] Wu, H., Gu, J., Bekhit, A. E. D., et al. (2022). Effect of processing on bio accessibility and bioavailability of bioactive compounds in coffee beans. Food Bioscience, 46, 101373.
[9] Firdaus, N. K., Aunillah, A., Pranowo, D., et al. (2023). The effect of various harvesting techniques and drying methods on the yield and quality of Liberoid coffee. IOP Conference Series: Earth and Environmental Science, 162 (1), 012034.
[10] Febrianto, N. A., Sanny, O., et al. (2021). From plantation to cup: Changes in bioactive compounds during coffee processing. Foods, 10 (11), 2827.
[11] Drabińska, N., Azeem, M., et al. (2023). Application of sorbent-based extraction techniques in food analysis. Molecules, 28 (24), 1863.
[12] Chen, Y., Jiang, K., Hu, G., et al. (2019). Impact of primary processing methods on quality attributes of Yunnan Arabica coffee. Journal of Food Processing and Preservation, 43 (12), e14256.
[13] Xiao, K., Zhai, H., Hu, R., et al. (2023). Effects of different primary processing methods on flavor compounds and sensory characteristics of coffee beans. Food Science & Technology, 44 (3), 1 - 16.
[14] Velasquez, S., Banchon, C. (2023). Influence of pre-and post-harvest factors on the organoleptic and physicochemical quality of coffee: A short review. Journal of Food Science and Technology, 60 (10), 2526 - 2538.
[15] Wang, N., Chen, S., Zhou, Z. (2020). Age-dependent characterization of volatile organic compounds and age discrimination in Chinese rice wine using GC/MS-based metabolomics. Food Chemistry, 323, 126900.
[16] Song, X., Zhao, M., Chen, F., et al. (2020). Geographical authentication of strong aroma-type baijiu using GC×GC-TOFMS metabolomics. Food Chemistry, 314, 126098.
[17] Mao, H., Yang, L., Xiao, R., et al. (2022). Metabolomic differentiation of De'ang sour tea and Pu-erh ripened tea using UPLC-QTOF-MS. Food Research International, 157, 111432.
[18] Xiao, M., Peng, Z., Hardie, W. J., et al. (2022). Microbial succession and flavor formation during Sichuan Paocai fermentation revealed by multi-omics analysis. LWT-Food Science and Technology, 153, 112474.
[19] Bi, X., Zhang, X., Fu, X., et al. (2023). Effects of different primary processing methods on quality characteristics of coffee cherries. Postharvest Biology and Technology, 195, 112158.
[20] Hong, Z., Tan, C., Miao, Y., et al. (2020). Geographical discrimination of coffee beans using HS-GC-IMS fingerprinting. Food Chemistry, 342, 128348.
[21] Ma, X., Li, X., Zou, J., et al. (2021). Metabolomic analysis of root exudates in Salix viminalis inoculated with Crucibulum laeve. Tree Physiology, 41 (3), 46 - 55.
[22] Kong, Y., Chen, L., Cheng, E., et al. (2024). Non-targeted metabolomics reveals dynamic changes during Xinyang Maojian tea processing. Food Chemistry: X, 21, 101128.
[23] Chen, Y., Yan, R., Lu, X., et al. (2023). Chemical variation in aged Citrus reticulata 'Chachi' peel revealed by widely targeted metabolomics. Journal of Agricultural and Food Chemistry, 71 (21), 6543 - 6552.
[24] Wu, S., Wang, Z., Zhang, H., et al. (2018). Simultaneous determination of six organic acids in roasted coffee beans using HPLC. Journal of Food Composition and Analysis, 74, 112 - 115.
[25] Li, X., Li, H., Yan, J., et al. (2024). Effects of ultra-low temperature treatment on flavor characteristics and antioxidant activity of specialty coffee. Food Chemistry Advances, 3, 100506.
[26] da Mota, M. C. B., Batista, N. N., Dias, D. R., et al. (2022). Impact of microbial self-induced anaerobiosis fermentation (SIAF) on coffee quality. Food Bioscience, 47, 101640.
[27] Jiang, L., Ding, Y., Jiang, F., et al. (2014). Nitrogen-doped graphene/carbon nanotube nanocomposite for enhanced sensing of caffeine and vanillin. Analytica Chimica Acta, 833, 22 - 28.
[28] Chen, Q., Dong, W., Wei, C., et al. (2020). Integrated ultrasonic-microwave assisted extraction of green coffee oil. Industrial Crops and Products, 151, 112405.
[29] Cordoba, N., Fernandez-Alduenda, M., Moreno, F. L., et al. (2020). Coffee extraction: A review of parameters influencing physicochemical characteristics and flavor. Trends in Food Science & Technology, 96, 45 - 60.
[30] Dong, C., Dong, W., Cheng, J., et al. (2022). Evolution of fatty acids, volatile compounds and active components during coffee roasting. Food Chemistry, 397, 133755.
[31] Lyu, W., Liu, Y., Yang, K., et al. (2015). Formation mechanisms of key flavor compounds during coffee roasting. Food Chemistry, 187, 394 - 400.
[32] Ren, H., Zhou, B. (2018). Changes in volatile compounds and antioxidant activity during coffee roasting. Journal of Food Biochemistry, 42 (6), e12690.
[33] Li, X., Pei, G., Liu, L., et al. (2017). Metabolomic analysis of lipid accumulation in glucose-tolerant Crypthecodinium cohnii. Bioresource Technology, 235, 87 - 95.
[34] Wu, Y., Zhang, C., Yang, H., et al. (2022). Metabolomic differentiation between Rubus spp. and Morus spp. fruits. Journal of Agricultural and Food Chemistry, 70 (30), 790 - 797.
[35] Fu, A., Wang, Q., Mu, J., et al. (2021). Multi-omics analysis reveals chayote evolution and fruit development. Horticulture Research, 8 (1), 35.
[36] Miao, Y., Tan, C., Peng, C., et al. (2022). Characterization of Arabica coffee beans using UHPLC-QE-MS metabolomics. Journal of Food Science, 87 (11), 355 - 367.
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