http://www.cnr.it/ontology/cnr/individuo/prodotto/ID258823

Biomimetic traps for Dioxins: a mixed Computational and Experimental Approach (Contributo in atti di convegno)

Type

Contributo in atti di convegno (Classe)
Prodotto della ricerca (Classe)

Label

Biomimetic traps for Dioxins: a mixed Computational and Experimental Approach (Contributo in atti di convegno) (literal)

Anno

2004-01-01T00:00:00+01:00 (literal)

Alternative label

M. Mascini, I. Cozzani, D. Compagnone, A. Macagnano, C. Di Natale, A. D'Amico, D. Monti, R. Paolesse, B. Chen, P. Warner (2004)
Biomimetic traps for Dioxins: a mixed Computational and Experimental Approach
in 8th Italian Conference on Sensors and Microsystems, Trento (Italy), FEB 12-14, 2003
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

M. Mascini, I. Cozzani, D. Compagnone, A. Macagnano, C. Di Natale, A. D'Amico, D. Monti, R. Paolesse, B. Chen, P. Warner (literal)

Pagina inizio

88 (literal)

Pagina fine

94 (literal)

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Web of Science Categories: Instruments & Instrumentation; Materials Science, Multidisciplinary; Remote Sensing Research Areas: Instruments & Instrumentation; Materials Science; Remote Sensing IDS Number: BCM (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

SENSORS AND MICROSYSTEMS, PROCEEDINGS 8th (literal)

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8 (literal)

Note

ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

University of Teramo, Teramo (ITALY) University of Rome Tor Vergata, Rome, ITALY IMM-CNR, Rome, ITALY (literal)

Titolo

Biomimetic traps for Dioxins: a mixed Computational and Experimental Approach (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

981-238-747-1 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriVolume

DiNatale, C; DAmico, A; Soncini, G; Ferrario, L; Zen, M (literal)

Abstract

Dioxins are highly toxic substances, and well known environmental pollutants and carcinogens. It is of fundamental importance to build a selective sensor for this class of compounds. Our approach relies on the design and development of artificial peptides as a mimic of the Aryl Hydrocarbon receptor binding site (Ah; dioxin receptor) in the living cells. A series of pentapeptides have been designed and their affinity toward dioxin was tested by a computational approach (LEAPFROG (TM) algorithm). Two peptides A and B (A: [N]Asn-Phe-Gln-Gly-Ile[C]; B: [N]Asn-Phe-Gln-Gly-Phe[C]), have been chosen in order to evaluate their potential applicability in solid-gas analysis by using a QCM (Quartz Crystal Microbalance) sensor arrays. The peptide sequences were functionalised by two terminal cysteine residues in order to achieve a covalent interaction with the QCM gold surface. The peptide immobilisation was accomplished by dipping of the quartz surfaces in mM solution of A and B in i) water and ii) EtOH/water (1:1 v/v). A quantitative evaluation of mass deposition can be obtained from the differences on the quartz frequency resonance. A strong influence of the solvent of the dioxin stock solution (e.g. hexane, toluene) was tested. Both of the QCM sensors (A and B) gave a good linearity against different sample concentrations. In particular, their desorption coefficients (at 20 ppb concentration) were nicely dependent on the free energy of interaction calculated by computational modelling. (literal)

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