Discrimination Of Metronidazole Complexes

Abstract

Diabetic is a chronic human disease. It affects blood glucose in the human body. Imidazole (C3N2H4) is an organic compound. Imidazole has many properties such as antituberculosis, antimicrobial anti-inflammatory, antimycotic, antitumor, and antiviral in the human body. By utilizing Fourier transform infrared spectroscopy (FTIR), recent review represent antidiabetic action of inadvance synthesized Metronidazole (MTZ) complexes (MTZ-Benz, MTZ-Benz-Cu, MTZ-Benz- Cu-Cl2CHCOOH, MTZ , MTZ - Cu , MTZ - Cu - Cl2CHCOOH , MTZ - Benz - Ag , MTZ - Benz - Ag - Cl2CHCOOH , MTZ - Ag and MTZ - Ag - Cl2CHCOOH) opposed to consequence of IC50 (μg/mL) Values of substances for α-glucosodase and α-amylase inhibition assays. Two methods were used in this research named Artificial Neural Network and Partial Least Square. For correcting the spectrum baseline Asymmetric Least Squares were used. In fitted models, Artificial Neural Networks outperform cross-validated root mean square error. Influential wavelengths that explain variance in the antidiabetic activity of Metronidazole compounds were found and mapped against functional groupings using Artificial neural networks.