Rapid and quantitative analysis of clavulanic acid production by the combination of pyrolysis mass spectrometry and artificial neural network

Journal of Microbiology and Biotechnology

Volumn 8, Issue 5, 1998, Pages 523-530

  Kang, Sung Gyun ^a   Lee, Dae Hoon ^a   Ward, Alan C ^b   Lee, Kye Joon ^a  

^a Seoul National University   (South Korea)

^b NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

Artificial neural networks; Clavulanic acid; Pyrolysis mass spectrometry; Streptomyces clavuligerus

Indexed keywords

CARBON; CLAVULANIC ACID; NITROGEN;

ANTIBIOTIC BIOSYNTHESIS; ARTICLE; ARTIFICIAL NEURAL NETWORK; DRUG DETERMINATION; FERMENTATION; FUNGUS CULTURE; FUNGUS GROWTH; MASS SPECTROMETRY; MYCELIUM; NONHUMAN; PYROLYSIS; STREPTOMYCES CLAVULIGERUS;

STREPTOMYCES CLAVULIGERUS;

EID: 7844244658     PISSN: 10177825     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (20)

1. Bishop, C. M. 1994. Neural networks and their applications. Rev. Sci. Instrum. 65: 1803-1831.
2. Burton, R. M. and G. J. Mpitsos. 1992. Event dependent control of noise enhances learning in neural networks. Neural Networks 5: 627-637.
3. Chater, K. F. 1989. Sporulation in Streptomyces., pp. 277-299. In I. Smith, R. A. Slepecky and P. Setlow (eds.), Regulation of Prokaryotic Development. Washington, DC, American Society for Microbiology.
4. Chun, J., E. Atalan, A. C. Ward, and M. Goodfellow. 1993. Artificial neural network analysis pyrolysis mass spectrometry data in the identification of Streptomyces stains. FEMS Microbiol. Lett. 107: 321-326.
5. Foulstone, M. and C. Reading. 1982. Assay of amoxicillin and clavulanic acid, the components of augmentin, in biological fluids with high performance liquid chromatography. Antimicrob. Agent Chemother. 22: 753-762.
6. Freeman, R., R. Goodacre, P. R. Sisson, J. G. Magee, A. C. Ward, and N. F. Lightfoot 1994. Rapid identification of species within the Mycobacterium tuberculosis complex by artificial neural network analysis of pyrolysis mass spectra. J. Med. Microbiol. 40: 170-173.
7. Goodacre, R. and D. B. Kell. 1993. Rapid and quantitative analysis of bioprocesses using pyrolysis mass spectrometry and neural networks: Application to indole production. Anal. Chim. Act. 279: 17-26.
8. Goodacre, R. and D. B. Kell. 1993b. Rapid assessment of the adulteration of virgin olive oils by other seed oils using pyrolysis mass spectrometry and artificial neural networks. J. Sci. Food Agric. 63: 297-307.
9. Goodacre, R., S. Trew, C. Wrigley-Jones, M. J. Neal, J. Maddok, T. W. Ottley, N. Porter, and D. B. Kell. 1994. Rapid screening for metabolite overproduction in fermentor broths, using pyrolysis mass spectrometer with multivariate calibration and artificial neural networks. Biotechnol. Bioeng. 44: 1205-1216.
10. Goodacre, R., S. Trew, C. Wrigley-Jones, G. Saunders, M. J. Neal, N. Porter, and D. B. Kell. 1995. Rapid and quantitative analysis of metabolites in fermentor broths using pyrolysis mass spectrometry with supervised learning: Application to the screening of Penicillum chrysogenum fermentations for the overproduction of penicillins. Anal. Chim. Act. 313: 25-43.
11. Irwin, W. J. 1982. Analytical Pyrolysis - A Comprehensive Guide, Chromatographic Science Series vol. 22, Marcel Dekker, New York.
12. Lohninger, H. 1993. Evaluation of neural networks based on radial basis functions and their application to the prediction of boiling points from structural parameters. J. Chem. Inf. Comput. Sci. 33: 736-744.
13. MacFie, H. J. H. and C. S. Gutteridge. 1982. Comparative studies on some methods for handling quantitative data generated by analytical pyrolysis. J. Anal. Appl. Pyrol. 4: 175-204.
14. Montague, G. and J. Morris. 1994. Neural networks contributions in biotechnology. Trends in Biotechnology 12: 312-323.
15. Musavi, M. T., W. Ahmed, K. H. Chan, K. B. Faris, and D. M. Hummels. 1992. On the training of radial basis function classifiers. Neural Networks 5: 595-603.
16. Nelder, J. A. 1970. Genstat Reference Manual, University of Edinburgh, Scientific and Social Service Program Library.
17. Pirt, S. J. 1975. Principle of Microbe and Cell Cultivation. Oxford: Blackwell.
18. Sietsma, J. and R. J. F. Dow. 1991. Creating artificial neural networks that generalize. Neural Networks 4: 67-79.
19. Valcarce, R. V., G. G. Smith, J. M. Stevenson, and J. O. Evans. 1989. Differentiation of leafy spurge accessions based on chemical constitution using of Curie point pyrolysis mass spectrometry pattern recognition. J. Anal Appl. Pyrol. 17: 5-24.
20. Zemany, P. D. 1952. Identification of complex organic materials by mass spectrometric analysis of their pyrolysis products. Anal. Chem. 24: 1709-1713.