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Optimization of the Microwave-Assisted Saponification and Extraction of Organic Pollutants from Marine Biota Using Experimental Design and Artificial Neural Networks

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Abstract

Several improvements in sample pretreatment for the determination of organic pollutants (i.e. n-alkanes, polycyclic aromatic hydrocarbons, PAHs) in marine biota (mussels) are presented. The use of liquid nitrogen and homogenization of the samples are shown to be an alternative to the time consuming liophilization step required for the analysis of biota samples. Microwave-assisted hydrolysis and extraction are combined to isolate organic pollutants (19 n-alkanes and 27 PAHs) from biota matrices. Experimental design (ED) and artificial neural networks (ANNs) were used to optimize the experimental conditions. NIST-CRM 2978 was used to test the validity of the developed method which shows a good agreement with certified values.

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References

  • Moret S, Conte LS (2000) J Chromatogr A 882:245–253

    Article  CAS  Google Scholar 

  • Wurl O, Obbard JP (2004) Mar Pollut Bull 48:1016–1030

    Article  CAS  Google Scholar 

  • Snedaker SC, Glynn PW, Rumbold DG, Corcoran EF (1995) Mar Pollut Bull 30:83–89

    Article  CAS  Google Scholar 

  • Farrington JW, Davis AC, Frew NM, Rabin KS (1982) Mar Biol 66:15–26

    Article  CAS  Google Scholar 

  • Hermans JH, Smedes F, Hofstraat JW, Cofino WP (1992) Environ Sci Technol 26:2028–2035

    Article  CAS  Google Scholar 

  • Hernández JE, Machado LT, Corbella R, Rodríguez MA, García Montelongo F (1995) Bull Envirom Contam Toxicol 55:461–468

    Google Scholar 

  • Corbella-Tena R, García-Montelongo F (1997) Quím Anal 16 (suppl. 2):S275-S281

  • Law RJ, Kelly CA, Baker KL, Langford KH, Bartlett T (2002) Mar Pollut Bull 44:903–911

    Article  CAS  Google Scholar 

  • Piccardo MT, Coradeghini R, Valerio F (2001) Mar Pollut Bull 42:951–956

    Article  CAS  Google Scholar 

  • Stella A, Piccardo MT, Coradeghini R, Redaelli A, Lanteri S, Armanino C, Valerio F (2002) Anal Chim Acta 461:201–213

    Article  CAS  Google Scholar 

  • Fung CN, Lam JCW, Zheng CG, Connell DW, Monirith I, Tanabe S, Richardson BJ, Lam PKS (2004) Environ Pollut 127:203–216

    Article  CAS  Google Scholar 

  • Xiong G, He X, Zhang Z (2000) Anal Chim Acta 413:49–56

    Article  CAS  Google Scholar 

  • Sparr Eskilsson C, Björklund E (2000) J Chromatogr A 902:227–250

    Article  Google Scholar 

  • Camel V (2001) Analyst 126:1182–1193

    Article  CAS  Google Scholar 

  • Jayaraman S, Pruell RJ, McKinney R (2001) Chemosphere 44:181–191

    Article  CAS  Google Scholar 

  • Hernández-Borges J, Corbella-Tena R, Rodríguez-Delgado MA, García-Montelongo FJ, Havel J (2004) Chemosphere 54:1059–1069

    Article  Google Scholar 

  • Basheer A, Hajmeer M (2000) J Microbiol Meth 43:3–31

    Article  CAS  Google Scholar 

  • Bocaz-Beneventi G, Latorre R, Farková M, Havel J (2002) Anal Chim Acta 452:47–63

    Article  CAS  Google Scholar 

  • Frías-García S, Sánchez MJ, Rodríguez-Delgado MA (2004) Electrophoresis 25:1042–1050

    Article  Google Scholar 

  • Zupan J, Gasteiger J (1999) Neural networks in chemistry and drug design. Wiley, New York

  • Hassonville SH, Chiap P, Liégeois JF, Evrard B, Delattre L, Crommen J, Piel G, Hubert P (2004) J Pharm Biomed Anal 26:133–143

    Article  Google Scholar 

  • Lee YK, Kim HW, Liu CL, Lee HK (2003) J Microb Meth 52:245–250

    Article  CAS  Google Scholar 

  • Shen HY (2005) Talanta 66:734–739

    Article  CAS  Google Scholar 

  • Hernández-Borges J, Rodríguez-Delgado MA, García-Montelongo FJ, Cifuentes A (2004) Electrophoresis 25:2065–2076

    Article  Google Scholar 

  • Cámara C, Fernández Hernando P, Martín-Esteban P, Pérez-Conde C, Vidal M (2002) Toma y tratamiento de muestra (Sampling and sample pretreatment) Ed Síntesis Madrid

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Authors and Affiliations

  1. Department of Analytical Chemistry, Nutrition and Food Science, University of La Laguna, 38071, La Laguna, Tenerife, Canary Islands, Spain

    J. Hernández-Borges, M. A. Rodríguez-Delgado & F. J. García-Montelongo

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  1. J. Hernández-Borges
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  2. M. A. Rodríguez-Delgado
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  3. F. J. García-Montelongo
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Correspondence to F. J. García-Montelongo.

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Hernández-Borges, J., Rodríguez-Delgado, M.A. & García-Montelongo, F.J. Optimization of the Microwave-Assisted Saponification and Extraction of Organic Pollutants from Marine Biota Using Experimental Design and Artificial Neural Networks. Chroma 63, 155–160 (2006). https://doi.org/10.1365/s10337-006-0722-0

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  • DOI: https://doi.org/10.1365/s10337-006-0722-0

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