Literature DB >> 19292557

Molecular biosensor based on a coordinated iron complex.

Karim Salazar-Salinas1, Luis A Jauregui, Carlos Kubli-Garfias, Jorge M Seminario.   

Abstract

A sensor model based on the porphyrin nucleus of the soluble guanylate cyclase enzyme is modeled and tested with nitric oxide and carbon monoxide. Molecular oxygen is tested as a possible interferer. Geometries and electronic structures of the model are assessed by density functional theory. Vibrational circular dichroism (VCD), infrared, and Raman spectra are obtained for the iron complexes uncoordinated and coordinated with the gas moieties. The sensor is capable of detecting the ligands to different extents. Carbon monoxide is less detectable than nitric oxide due to the adopted position of the molecule in the sensor; carbon oxide is aligned with the iron atom, while nitric oxide and molecular oxygens bend with an angle detectable by the VCD. It is suggested that pollutants may be detected and measured with the proposed biosensors.

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Year:  2009        PMID: 19292557     DOI: 10.1063/1.3070235

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  4 in total

1.  Structure and energetics of small iron clusters.

Authors:  Keitel Cervantes-Salguero; Jorge M Seminario
Journal:  J Mol Model       Date:  2012-03-31       Impact factor: 1.810

2.  Facile synthetic route for surface-functionalized magnetic nanoparticles: cell labeling and magnetic resonance imaging studies.

Authors:  Hyun Jung Chung; Haeshin Lee; Ki Hyun Bae; Yuhan Lee; Jongnam Park; Seung-Woo Cho; Jin Young Hwang; Hyunwook Park; Robert Langer; Daniel Anderson; Tae Gwan Park
Journal:  ACS Nano       Date:  2011-06-06       Impact factor: 15.881

3.  Density functional theory and molecular dynamics study of the uranyl ion (UO₂)²⁺.

Authors:  Nicolás Rodríguez-Jeangros; Jorge M Seminario
Journal:  J Mol Model       Date:  2014-02-27       Impact factor: 1.810

4.  Selectivity of Cobalt Corrole for CO vs. O2 and N2 in Indoor Pollution.

Authors:  Xia Sheng; Hailiang Zhao; Lin Du
Journal:  Sci Rep       Date:  2017-11-06       Impact factor: 4.379

  4 in total

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