Síntese eletroquímica da estrutura metal-orgânica de [Cu3(BTC)2 .(H2O)3]n e sua aplicação em biossensores e meio ambiente

Abstract

The MOFs (Metal-Organic Frameworks) are a new class of materials known as porous coordination networks, form an extensive class of crystalline materials, featuring a central atom (metal ion) or sintered (metallic cluster) coordinated the organic molecules (ligands), in which this unit metal-ligand repeats itself forming a polymer metal complex network in one, two or three dimensions. One of the most important properties of this metal-organic framework is the high porosity and large surface area, properties that are exploited for the development of a textile dye adsorbent material in effluent and as crippling to the Lectin of Cratylia Mollis, a specific enzyme for glucose. The MOF [Cu3 (BTC) 2 ( H2O) 3] n was obtained by electrochemical synthesis and by current limiter using an acid solution 1, 3, 5-benzenotricarboxilico, sodium nitrate and dimethylformamide in water Mllipore a ratio of 1:1. The precipitate was filtered, washed and dried in an oven at 120° C, and then was characterized by absorption spectroscopy in the infrared region using a Fourier transform with spectrophotometer (FTIR) and by cyclic voltammetry. After this MOF mix with a solution that simulated a textile effluent, it was found that it can be used in your treatment as it was retrieved from a colorless effluent and the stabilization of the dye in your structure. The developed biosensors have been drawn up with the MOF with the lectin, and graphite paste in Platinum and gold electrodes. The cyclic voltammetry of these systems in solution of glucose and fructose. Indicating that the lectin interacts with low-concentration glucose solutions with the gold record (10:15, 5 mM due to the increase of the cathode and Anodic peaks), while that with the Platinum card she interacts with high concentrations of glucose (20, 40 and 60 mM due to the increase of cathode and Anodic peaks). Interaction not observed of the lectin with fructose, as expected. This system can be used for the identification of glucans in effluents, and identification of glucose in real samples, not requiring a large amount of sample for identification, making the low-cost and efficient method.