Use of genetic algorithms and artificial neural networks to predict the resolution of amino acids in thin-layer chromatography

Journal of Planar Chromatography - Modern TLC

Volumn 24, Issue 1, 2011, Pages 16-22

  Rolich, Tomislav ^a   Rezić, Iva ^b  

^a UNIVERSITY OF ZAGREB   (Croatia)

^b UNIVERSITY OF ZAGREB   (Croatia)

Author keywords

Amino acids; Artificial neural networks; Genetic algorithms; Optimization; Thin layer chromatography

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; CHROMATOGRAPHIC SEPARATIONS; GOOD CORRELATIONS; MODEL SOLUTION; NOVEL METHODS; RELATIVE ERRORS; THIN LAYERS;

AMINO ACIDS; GENETIC ALGORITHMS; LIQUID CHROMATOGRAPHY; OPTIMIZATION;

NEURAL NETWORKS;

AMINO ACID;

AMINO ACID ANALYSIS; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; CORRELATION ANALYSIS; GENETIC ALGORITHM; PREDICTION; THIN LAYER CHROMATOGRAPHY;

EID: 79951756544     PISSN: 09334173     EISSN: None     Source Type: Journal    
DOI: 10.1556/JPC.24.2011.1.3     Document Type: Article

References (33)

1. B. Hudson, D.J. Livingstone, E. Rahr, J. Comput. Aided Mol. Des. 3 (1989) 55-65.
2. R.D. Cramer, D.E. Paterson, J.D. Bunce, J. Am. Chem. Soc. 110 (1988) 5959-5967.
3. P. Camilleri, D.J. Livingstone, J.A. Murphy, D.T. Manalack, J. Comput. Aided Mol. Des. 7 (1993) 61-69.
4. R. Leardi, J. Chromatogr. A 1158 (2007) 226-233.
5. R. Leardi, J. Chemometr. 15 (2001) 559-569.
6. M.C. McCann, M. Defernez, B.R. Urbanowicz, J.C. Tewari, T. Langewisch, A. Olek, B. Wells, R.H. Wilson, N.C. Carpita, Plant Physiol. 143 (2007) 1314-1326.
7. J. Havel, E.M. Pena, A. Rojas-Hernandez, J.-P. Doucet, A. Pa-naye, J. Chromatogr. A 793 (1998) 317-329.
8. S. Babiæ, A.J.M. Horvat, M. Katelan-Macan, J. Planar Chro-matogr. 18 (2005) 112-117
9. S. Babiæ, A.J.M. Horvat, D. Mutavdiæ, D. Èaviæ, M. Katelan-Macan, J. Planar Chromatogr. 20 (2007) 95-99.
10. Y.L. Loukas, J. Chromatogr. A 904 (2000) 119-129.
11. E. Baher, M.H. Fatemi, E. Konoz, H. Golmohammadi, Microchim. Acta 158 (2007) 117-122.
12. T. Bolanca, Š. Cerjan-Stefanović, M. Regelja, H. Regelja, S. Lonèarić, J. Chromatogr. A 1085 (2005) 74-85.
13. Q. Fei, M. Li, B. Wang, Y. Huan, G. Feng, Y. Ren, Chemometr. Intell. Lab. Syst. 97 (2009) 127-131.
14. S.P. Niculescu, J. Mol. Struct. 622 (2003) 71-83.
15. M.H. Fatemi, M. Jalali-Heravi, E. Konuze, Anal. Chim. Acta 486 (2003) 101-108.
16. S.J. Russell, P. Norvig, Artificial Intelligence: a Modern Approach, Pearson Education, Upper Saddle River, NJ, 2003.
17. S. Luke, Essentials of Metaheuristics, Zeroth Edition, Online Ver-sion 0.3, 2009, available at: http://cs.gmu.edu/~sean/book/meta-heuristics/.
18. R.L. Haupt, S.E. Haupt, Practical Genetic Algorithms, John Wiley & Sons, New York, 2004.
19. D.L. Massart, B.G.M. Vandeginste, L.M.C. Buydens, S. De Jong, P.J. Lewi, J. Smeyers-Verbeke, Handbook of Chemometrics and Qualimetrics: Part A, Elsevier, Amsterdam, 1987.
20. S. Haykin, Neural Networks, A Comprehensive Foundation, Pren-tice Hall, Englewood Cliffs, NJ, 1994.
21. J. Zupan, J. Gasteiger, Neural Networks in Chemistry and Drug Design, Wiley-VCH, Weinheim, 1999.
22. E. Stahl, Thin Layer Chromatography, Springer-Verlag, New York, 1969.
23. J. Sherma, B. Fried, Handbook of Thin-Layer Chromatography, Marcel Dekker, New York, 1996.
24. Q.S. Wang, B.W. Yan, J. Planar Chromatogr. 9 (1996) 192-196.
25. A.M. Siouffi, J. Chromatogr. 556 (1991) 81-94.
26. H.J. Issaq, K.E. Seburn, J. Liq. Chromatogr. 12 (1989) 3121-3128.
27. I. Rezic, T. Rezic, Lj. Bokic, J. Planar Chromatogr. 20 (2007) 173-177.
28. A. Niestroj, J. Planar Chromatogr. 20 (2007) 483-486.
29. C. Sârbu, B. Tiperciuc, J. Planar Chromatogr. 19 (2006) 342-347.
30. T. Djaković-Sekulić, N. Perišić- Janjić, C. Sârbu, Z. Lozanov-Crvenković, J. Planar Chromatogr. 20 (2007) 251-257.
31. N.U. Perišić-Janjić, S.O. Podunavac- Kuzmanović, J. Planar Chro-matogr. 21 (2008) 135-141.
32. A. Gumieniczek, A. Berecka, D. Matosiuk, H. Hopkała, J. Planar Chromatogr. 20 (2007) 261-265
33. A. Niestroj, J. Planar Chromatogr. 19 (2006) 208-211.