Base Metabolomics of Snakehead and Mackerel Fish Using LC-HRMS for Tropical Geographic Authentication and Quality Assessment
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Abstract
The availability of local fish species may play a key role in defining the metabolomic foundation of intangible cultural heritage foods, such as “Pempek Palembang” (a traditional Indonesian fishcake). This study analyzed two commonly used fish in Pempek Palembang—Snakehead (Channa striata, Sample 1) and Mackerel (Scrombero morini, Sample 2)—using liquid chromatography-high-resolution mass spectrometry (LC-HRMS) to identify unique chemical signatures and biomarkers linked to geographic origin and rearing conditions. Fish samples were collected from two distinct regions in Indonesia: Palembang (South Sumatra) and Jambi (Jambi Province). Metabolomic profiling via principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) revealed 15 distinct biomarkers, including: Nootkatone; 3,9,10,13-Trihydroxy compounds,- 3-Hydroxybutyric acid, 4-Guanidinobutanoic acid, Stearamide, N-10-Undecenoyl derivatives, Phosphatidylserine PS (21:0/0:0), Mycinonic acid, Phosphatidylethanolamine PE (22:4(7Z,10Z)), Lactamide, Gibberellin A3, Valine, Phosphocholine PC (O-16:1(11Z)), Hydroxycitronellal, L-Norleucine. These biomarkers exhibited significant variation based on aquaculture practices (e.g., diet, contaminant exposure) and storage duration. The findings highlight metabolomics as a powerful tool for geographic authentication and quality control in traditional foods like “Pempek Palembang”. Additionally, this research provides valuable insights into the metabolic traits of Snakehead fish, supporting efforts to preserve regional authenticity and cultural heritage.
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Argent DG, Kimmel WG. Fish Assemblage connectivity in the Monongahela River Basin. Northeast. Nat. 2019; 16(4): 607-620. Doi: 10.1656/045.016.n410. DOI: https://doi.org/10.1656/045.016.n410
Shao C, Su Y, Meng D, Li Y, Dong Y, Hao H, Ye H. Comprehensive metabolomic profiling of nutrients in fish and shrimp. Food Chem. 2023; 407: 135037. Doi:10.1016/j.foodchem.2022.135037 DOI: https://doi.org/10.1016/j.foodchem.2022.135037
Tan HR, Zhou W. Metabolomics for tea authentication and fraud detection: Recent applications and future directions. In Trends Food Sci. Technol. 2024; 149:1-12. Doi: 10.1016/j.tifs.2024.104558. DOI: https://doi.org/10.1016/j.tifs.2024.104558
García-Pérez P, Becchi PP, Zhang L, Rocchetti G, Lucini, L. Metabolomics and chemometrics: The next-generation analytical toolkit for the evaluation of food quality and authenticity. In Trends Food Sci. Technol. 2024; 147: 1-14. Doi:10.1016/j.tifs.2024.104481. DOI: https://doi.org/10.1016/j.tifs.2024.104481
Supriadi A, Saputra D, Priyanto G, Pambayun R, Oswari LD. Mapping and development strategy of pempek - A specialty traditional food of South Sumatra, Indonesia. Potr. S. J. F. Sci. 2018; 12(1): 707–715. Doi: 10.5219/975. DOI: https://doi.org/10.5219/975
Surya R, Destifen W, Stephanie S. Review On Pempek, A traditional fishcake from South Sumatra, Indonesia: History, nutritional aspects, current development, and innovation. In Int. J. Gastron. Food Sci. 2023; 34. Doi:10.1016/j.ijgfs.2023.100828. DOI: https://doi.org/10.1016/j.ijgfs.2023.100828
Wargadalem FR, Wasino, Yulifar L. Pempek Palembang: history, food making tradition, and ethnic identity. J. Ethn. Foods. 2023; 10(1): 1-15. Doi: 10.1186/s42779-023-00209-z. DOI: https://doi.org/10.1186/s42779-023-00209-z
Principal A, Glogovetan AI, Šedik P, Pocol CB. The importance of certification with PDO and PGI quality schemes: A critical analysis of the Romanian Beekeeping sector. Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Food Sci. Technol. 2022; 78(2): 36-43. Doi: 10.15835/buasvmcn-fst:2021.0024. DOI: https://doi.org/10.15835/buasvmcn-fst:2021.0024
Supriadi A, Saputra D, Priyanto G, Baehaki A, Pambayun, R. The profile of pempek as a determining factor of quality, originality and ethnicity. J. Phys: Conference Series. 2020; 1485: 1-8. Doi: 10.1088/1742-6596/1485/1/012032. DOI: https://doi.org/10.1088/1742-6596/1485/1/012032
Cajka T. Liquid chromatography–mass spectrometry–based metabolomics approaches for foodomics Research. In Curr. Opin. Food Sci. 2024; 58: 1-13. Doi:10.1016/j.cofs.2024.101201. DOI: https://doi.org/10.1016/j.cofs.2024.101201
Mihailova A, Kelly SD, Chevallier OP, Elliott CT, Maestroni BM, Cannavan A. High-resolution mass spectrometry-based metabolomics for the discrimination between organic and conventional crops: A review. In Trends in Food Sci and Technol. 2021; 110: 142-154. Doi:10.1016/j.tifs.2021.01.071 DOI: https://doi.org/10.1016/j.tifs.2021.01.071
Pan Y, Gu HW, Lv Y, Yin XL, Chen Y, Long W, Fu H, She Y. Untargeted metabolomic analysis of Chinese Red Wines for geographical origin traceability by UPLC-QTOF-MS coupled with chemometrics. Food Chem. 2022; 394: 1-13. Doi: 10.1016/j.foodchem.2022.133473 DOI: https://doi.org/10.1016/j.foodchem.2022.133473
Rivera-Pérez A, García-Pérez P, Romero-González R, Garrido Frenich A, Lucini L. UHPLC-QTOF-HRMS metabolomics insight on the origin and processing authentication of thyme by comprehensive fingerprinting and chemometrics. Food Chem. 2023; 407: 1-10. Doi: 10.1016/j.foodchem.2022.135123 DOI: https://doi.org/10.1016/j.foodchem.2022.135123
Liu X, Zhong C, Xie J, Liu H, Xie Z, Zhang S, Jin J. Geographical region traceability of Poria cocos and correlation between environmental factors and biomarkers based on a metabolomic approach. Food Chem. 2023; 417: 1-12. Doi: 10.1016/j.foodchem.2023.135817 DOI: https://doi.org/10.1016/j.foodchem.2023.135817
Ren Y, Feng C, Ye Z, Zhu H, Hou R, Granato D, Cai H, Peng C. Keemun Black Tea: tracing its narrow-geographic origins using comprehensive elemental fingerprinting and chemometrics. Food Cont. 2022; 133(PB): 108614. https://doi.org/10.1016/j.foodcont.2021.108614. DOI: https://doi.org/10.1016/j.foodcont.2021.108614
Picone G, Engelsen SB, Savorani F, Testi S, Badiani A, Capozzi F. Metabolomics as a powerful tool for molecular quality assessment of the fish Sparus aurata. Nutrients, 2011; 3(2): 212-227. Doi: 10.3390/nu3020212. DOI: https://doi.org/10.3390/nu3020212
Bozza D, Barboni D, Spadafora ND, Felletti S, De Luca C, Nosengo C, Compagnin G, Cavazzini A, Catani M. Untargeted metabolomics approaches for the characterization of cereals and their derived products by means of liquid chromatography coupled to high resolution mass spectrometry. J. Chromatogr. Open. 2024; 6: 1-15. Doi: 10.1016/j.jcoa.2024.100168. DOI: https://doi.org/10.1016/j.jcoa.2024.100168
Supriadi A, Ridhowati S, Saputra D, Wulandari W, Lestari SD. Untargeted metabolomics profiling for the geographical authentication of traditional pempek using high-resolution orbitrap mass spectrometry. Food Chem. Adv. 2025; 6: 1-20. Doi: 10.1016/j.focha.2025.100914. DOI: https://doi.org/10.1016/j.focha.2025.100914
Long SM, Tull DL, De Souza DP, Kouremenos KA, Dayalan S, McConville MJ, Gagnon MM. Metabolomics provide sensitive insights into the impacts of low level environmental contamination on fish health—A pilot study. Metabolites. 2020; 10(1): 24-42. Doi: 10.3390/metabo10010024. DOI: https://doi.org/10.3390/metabo10010024
Windarsih A, Suratno, Warmiko HD, Indrianingsih AW, Rohman A, Ulumuddin YI. Untargeted metabolomics and proteomics approach using liquid chromatography-orbitrap high resolution mass spectrometry to detect pork adulteration in Pangasius hypopthalmus meat. Food Chem. 2022; 386: 1-12. Doi:10.1016/j.foodchem.2022.132856. DOI: https://doi.org/10.1016/j.foodchem.2022.132856
Sumarlin LO, Heryanto R, Karomah AH, NurcholisW.UHPLC-HRMS-Based Metabolomics to evaluate the antibacterial compounds of Coix lacryma-jobi seeds with different extraction solvent concentrations. Trop J Nat Prod Res. 2024; 8(8):8087–8092.Doi: 10.26538/tjnpr/v8i8.24. DOI: https://doi.org/10.26538/tjnpr/v8i8.24
Midelfart A, Gribbestad IS, Knutsen BH, Jorgensen L. Comparative Biochemistry Physiology, Part B: Biochemistry. Mol. Bio. 1996; 113: 445–450. DOI: https://doi.org/10.1016/0305-0491(95)02036-5
Cheung W, Keski-Rahkonen P, Assi N, Ferrari P, Freisling H, Rinaldi S, Scalbert A. A metabolomic study of biomarkers of meat and fish intake. Am J Clin Nutr. 2017; 105(3): 600-608. Doi: 10.3945/ajcn.116.146639. DOI: https://doi.org/10.3945/ajcn.116.146639
Sun YC, Wu S, Du NN, Song Y, Xu W. High-throughput metabolomics enables metabolite biomarkers and metabolic mechanism discovery of fish in response to alkalinity stress. RSC advances. 2018; 8(27): 14983-14990. Doi: 10.1039/c8ra01317a. DOI: https://doi.org/10.1039/C8RA01317A
Yong CH, Muhammad SA, Aziz FA, Nasir FI, Mustafa MZ, Ibrahim B, Kelly SD, Cannavan A, Seow EK. Detecting adulteration of stingless Bee Honey using untargeted 1H NMR metabolomics with chemometrics. Food Chem. 2022; 368: 1-15. Doi: 10.1016/j.foodchem.2021.130808. DOI: https://doi.org/10.1016/j.foodchem.2021.130808
Badaoui W, Marhuenda-Egea FC, Valero-Rodriguez JM, Sanchez-Jerez P, Arechavala-Lopez P, Toledo-Guedes K. Metabolomic and lipidomic tools for tracing fish escapes from aquaculture facilities. ACS Food Sci. & Technol. 2024; 4(4): 871-879. Doi: 10.1021/acsfoodscitech.3c00589. DOI: https://doi.org/10.1021/acsfoodscitech.3c00589
Lulijwa R, Alfaro AC, Young T. Metabolomics in Salmonid aquaculture research: Applications and future perspectives. Rev. Aquac. 2022; 14(2); 547-577. Doi: 10.1111/raq.12612. DOI: https://doi.org/10.1111/raq.12612
Zitouni N, Cappello T, Missawi O, Boughattas I, De Marco G, Belbekhouche S, Banni M. Metabolomic disorders unveil hepatotoxicity of environmental microplastics in wild fish Serranus scriba (Linnaeus 1758). Sci. Total Environ. 2022; 838: 155872. Doi : 10.1016/j.scitotenv.2022.155872. DOI: https://doi.org/10.1016/j.scitotenv.2022.155872
Chen J N, Zhang Y Y, Huang X H, Dong M, Dong XP, Zhou DY, Qin L. Integrated volatolomics and metabolomics analysis reveals the characteristic flavor formation in Chouguiyu, A traditional fermented mandarin fish of China. Food Chem. 2023; 418:135874.Doi: 10.1016/j.foodchem.2023.135874. DOI: https://doi.org/10.1016/j.foodchem.2023.135874
Chen Y, Wu X, Li P, Liu Y, Song M, Li F, Lai J. Integrated metabolomic and transcriptomic responses to heat stress in a high-altitude fish, Triplophysa siluroides. Fish Shellfish Immunol. 2023; 142:109118. Doi: 10.1016/j.fsi.2023.109118. DOI: https://doi.org/10.1016/j.fsi.2023.109118