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Determination of Aspirin Tablet Manufacturers by an NMR-based Metabolomic Approach

  • Choi, Moon-Young (College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University) ;
  • Kang, Sun-Mi (Department of Biochemistry and Center for Advanced Medical Education by BK21 project School of Medicine, Inha University) ;
  • Park, Jeong-Hill (College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University) ;
  • Kwon, Sung-Won (College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University)
  • Published : 2009.02.20

Abstract

Aspirin or acetylsalicylic acid, a member of the salicylate family, is frequently used as an analgesic, antipyretic, anti-inflammatory and antiplatelet drug. Because aspirin is chemically unstable in water and heat for tablet formulation, additives including lubricants are used in preparing aspirin tablets, using a dry-granulation process. Aspirin tablets are produced by a number of manufacturers which usually use their own unique combination of additives during the manufacturing process. In this study, we employed an NMR based metabolomics technique to identify the manufacturers of various aspirin tablets. Aspirin tablets from six different companies were analyzed by 1H 400 MHz NMR. The acquired data was then integrated and processed by principal component analysis (PCA). Based on the NMR data, we were able to identify peaks corresponding to acetylsalicylic acid in all of the six samples, whereas different NMR patterns were found in the aromatic and aliphatic regions depending on the unique additive used. These observations led to the conclusion that the differences in the NMR patterns among the different aspirin tablets were due to the presence of additives.

Keywords

References

  1. E. H. Awtry and J. Loscalzo, Aspirin, Platelets, 1099-1125 (2007)
  2. 이민화, 구영순, 신약제학 제3판, 이화여자대학교 출판부, 426-430 (2000).
  3. D. Camacho, A. de la Fuente and P. Mendes, The origin of correlations in metabolomics data, Metabolomics, 1(1), 53-63 (2005). https://doi.org/10.1007/s11306-005-1107-3
  4. B. B. Fredholm, K. Battig, J. Holmen, A. Nehlig. and E. E. Zvartau, Actions of caffeine in the brain with special reference to factors that contribute to its widespread use, Pharnacol Rev., 51(1), 83-133 (1999).
  5. C. Cavin, D. Holzhaeuser, G. Scharf, A. Constable, W. W. Huber and B. Schilter, Cafestol and kahweol, two coffee specific diterpenes with anticarcinogenic activity, Food Chem. Toxicol., 40(8), 1155-1163 (2002). https://doi.org/10.1016/S0278-6915(02)00029-7
  6. G. N. Jham, S. A. Fernandes, C. F. Garcia and A. A. da Silva, Comparison of GC and HPLC for the quantification of organic acids in coffee, Phytochem. Anal., 13(2), 99-104 (2002). https://doi.org/10.1002/pca.629
  7. P. D. Tzanavaras and D. G. Themelis, Development and validation of a high-throughput high-performance liquid chromatographic assay for the determination of caffeine in food samples using a monolithic column, Anal. Chim. Acta, 581(1), 89-94 (2007). https://doi.org/10.1016/j.aca.2006.07.081
  8. W. Welthagen, R. A. Shellie, J. Spranger, M. Ristow, R. Zimmermann and O. Fiehn, Comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GC${\times}$GCTOF) for high resolution metabolomics: biomarker discovery on spleen tissue extracts of obese NZO compared to lean C57BL/6 mice, Metabolomics, 1(1), 65-73 (2005) https://doi.org/10.1007/s11306-005-1108-2
  9. Y. H. Choi, H. K. Kim, H. J. Linthorst, J. G. Hollander, A. W. Lefeber, C. Erkelens, J. M. Nuzillard and R. Verpoorte, NMR metabolomics to revisit the tobacco mosaic virus infection in Nicotiana tabacum leaves, J. Nat. Prod., 69(5), 742-748 (2006). https://doi.org/10.1021/np050535b