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Nanoparticle-Assisted Affinity NMR Spectroscopy: High Sensitivity Detection and Identification of Organic Molecules.
Diez-Castellnou, Marta; Salvia, Marie-Virginie; Springhetti, Sara; Rastrelli, Federico; Mancin, Fabrizio.
Afiliação
  • Diez-Castellnou M; Dipartimento di Scienze Chimiche, Università degli Studi di Padova, via Marzolo 1, 35131, Padova, Italy.
  • Salvia MV; Dipartimento di Scienze Chimiche, Università degli Studi di Padova, via Marzolo 1, 35131, Padova, Italy.
  • Springhetti S; Laboratoire d'Excellence "CORAIL", Université de Perpignan, 58 Avenue Paul Alduy, 66860, Perpignan Cedex, France.
  • Rastrelli F; Dipartimento di Scienze Chimiche, Università degli Studi di Padova, via Marzolo 1, 35131, Padova, Italy.
  • Mancin F; Dipartimento di Scienze Chimiche, Università degli Studi di Padova, via Marzolo 1, 35131, Padova, Italy.
Chemistry ; 22(47): 16957-16963, 2016 Nov 14.
Article em En | MEDLINE | ID: mdl-27723145
ABSTRACT
A simple and effective method for high-sensitivity NMR detection of selected compounds is reported. The method combines 1D NMR diffusion filter experiments and small monolayer-protected nanoparticles as high-affinity receptors. Once bound to the nanoparticles, the diffusion coefficient of the analyte decreases in such way that spectral editing based on diffusion filters can separate its signals from those of other mixture components. Using nanoparticles functionalized with Zn2+ -triazacyclonane complexes, detection and identification of phosphorylated organic molecules can be achieved. Diphenyl phosphate can be detected at 25 micromolar concentration with good selectivity. The selectivity toward organic carboxylates is enhanced at pD=3.75. In these conditions, commercial tablets containing betamethasone phosphate and a large excess of benzoate could be successfully analyzed.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article