TY - JOUR
T1 - Ion-polymer interaction analysis
T2 - An inversion of NMR spin echo experimental data
AU - Sebastião, Rita C.O.
AU - Braga, João P.
AU - Virtuoso, Luciano S.
AU - Karla, Karla A.S.
AU - Pacheco, Carlos N.
AU - da Silva, Luis H.M.
PY - 2010/12
Y1 - 2010/12
N2 - A methodology for ion-polymer interaction estimation is discussed in the present work. This method is based on the inversion of experimental spin echo NMR data using Hopfield neural network to retrieve transverse relaxation time distributions. The adopted model systems consist of aqueous solutions of poly (ethylene oxide), molar mass 1500, 4000 and 35000 g mol-1 and sodium nitroprusside (NP) at different concentrations. Dipolar interaction is investigated in this work through the reduction in the transverse relaxation time and increase in the area under the distribution curves of the PEO protons which presented a linear correlation with the NP concentration. Neural network results were compared with the Simplex optimization procedure and experimental NMR values. The proposed methodology is robust, stable, non restrictive in relation to the system and more efficient to handle experimental data.
AB - A methodology for ion-polymer interaction estimation is discussed in the present work. This method is based on the inversion of experimental spin echo NMR data using Hopfield neural network to retrieve transverse relaxation time distributions. The adopted model systems consist of aqueous solutions of poly (ethylene oxide), molar mass 1500, 4000 and 35000 g mol-1 and sodium nitroprusside (NP) at different concentrations. Dipolar interaction is investigated in this work through the reduction in the transverse relaxation time and increase in the area under the distribution curves of the PEO protons which presented a linear correlation with the NP concentration. Neural network results were compared with the Simplex optimization procedure and experimental NMR values. The proposed methodology is robust, stable, non restrictive in relation to the system and more efficient to handle experimental data.
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U2 - 10.1590/S0103-97332010000400012
DO - 10.1590/S0103-97332010000400012
M3 - Article
AN - SCOPUS:78651328133
SN - 0103-9733
VL - 40
SP - 423
EP - 428
JO - Brazilian Journal of Physics
JF - Brazilian Journal of Physics
IS - 4
ER -