Detection of Biochemical Analyte Using Green Nanoparticles

Abstract

Enzymatic as well as chemical glucose biosensors have been explored significantly providing accurate results invasively / non-invasively along with point-of-care comfort to diabetes mellitus patients. Over time, it has been observed that the non-regulatory exposure of such medical waste leads to environmental and water pollution increasing the soil and ocean burden. The increased carbon footprint and toxic chemical materials getting exposed in the environment and water have led to the green diabetes initiative which recommends the diagnostic equipment to utilize green materials for diagnostics and other medical areas providing sustainability, affordability, reliability, and the same point-of-care comfort to the patients. newlineThe easy usage of glycine soja sensu auct green plant extract as a power source to synthesize the desired copper oxide (CuO) nanoparticles via green plant-mediated synthetic process is demonstrated in the current study to achieve significant detection of hydrogen peroxide (H2O2) and monosaccharide glucose through an uncomplicated colorimetric method. Due to sustainability issues, nanoparticle synthesis of metal(s) or metal-oxide(s) has shifted towards eco-safe reducing agents. This research focuses on the utilization of the reducing agent via green technology, namely glycine soja sensu auct extract, for bio-synthesizing the CuO nanoparticles by co-precipitation synthesis. Through XRD studies, it can be depicted that the material is monoclinic. FESEM and HRTEM images reveal the spherical shape of nanoparticles. HRTEM images also indicate that the size of the particles falls between 10 30 nm. The average z-size of 135.1 nm was revealed by the particle distribution curve. The vibrations between Cu and O are referred to the peaks at 493.14, 522.01, 557.89, and 649.39 cm-1 in the fourier transform infrared spectroscopy. Clearly, the peaks indicate the formation of CuO nanostructure.