RESUMO
Ocular diseases pose a significant challenge to global health. The field of metabolomics, which involves the systematic identification and quantification of metabolites within a biological system, has emerged as a promising research approach for unraveling disease mechanisms and discovering novel biomarkers. Through its application, metabolomics has yielded valuable knowledge pertaining to the initiation and advancement of various ocular diseases. This review presents an overview of metabolomics and examines recent research progess in four ocular diseases, specifically diabetic retinopathy, age-related macular degeneration, glaucoma, and dry eye, summarizing potential biomarkers and metabolic pathways associated with these diseases. Additionally, this review offers insights into the future prospects of utilizing metabolomics for the management and treatment of ocular diseases.
RESUMO
Electrogenerated chemiluminescence (electrochemiluminescence, ECL) generates species at electrode surfaces, which undergoes electron-transfer reactions and forms excited states to emit light. It has be-come a very powerful analytical technique and has been widely used in such as clinical testing, bio-warfare agent detection, and pharmaceutical analysis. This review focuses on the current trends of molecular recognition-based biosensing methods for pharmaceutical analysis since 2010. It introduces a background of ECL and presents the recent ECL developments in ECL immunoassay (ECLIA), im-munosensors, enzyme-based biosensors, aptamer-based biosensors, and molecularly imprinted poly-mers (MIP)-based sensors. At last, the future perspective for these analytical methods is briefly discussed.
RESUMO
A novel electrogenerated chemiluminescence (ECL) sensor for the determination of metoclopramide was developed by employing ruthenium complex as an ECL signal producer and an ordered mesoporous carbon (OMC) material as modified material. The ECL sensor was fabricated by adsorption ruthenium complex into a mixture of OMC and Nafion, which showed good electrochemical and ECL behaviors. It was found that the ECL intensity of the sensor fabricated was greatly enhanced in the presence of metoclopramide. Based on this finding, a highly sensitive and reproducible ECL method was developed for the determination of metoclopramide. The result showed that the ECL intensity was linear with the concentration of metoclopramide in the range from 1.0×10-10 to 5.0×10-7M and the detection limit was 3×10-11M. The ECL sensor exhibited a long-term stability and a fine reproducibility with relative standard deviation of 1.0 % for 1.0×10-10M metoclopramide in 18 continuous determinations. The developed method has been applied to the determination of metoclopramide in tablet samples with satisfactory results.