Pandemic relates to a situation where any disease starts spreading geographically and affects a entire country or the whole world. So when an epidemic becomes pandemic, it really a question of our survival. COVID -19 has become a pandemic as we all know and needs real and underneath research on that. The procession of death is uncountable still now. It can cause significant economic, social, and political disruption. So it’s very necessary to know the impact of it on originating venue so that we can analyze its potential and rate of spreads. So to do this we have applied here some Machine learning algorithm and concepts of regression for prediction. In this present work we have made prediction model of confirmed cases, Recovered and death cases using K-Nearest Neighbour regressor and Gradient Boosting Regressor. The model performance is very good in predicting all the cases. The R squared value is very near to 1.
Hydrogen peroxide is a very simple molecule, it is an important chemical and analyte in various industry fields, such as mining, environment, pharmaceutical, food manufacturing and textile applications. Meanwhile, H2O2 is also a kind of toxic by-product of many biological oxidases, based on which H2O2 has been considered to be an indicator of related diseases, such as Parkinson disease, cancer, stroke, arteriosclerosis and Alzheimer disease [1-3]. In addition, H2O2 has been applied in liquid-based fuel cells as an efficient oxidant and has also been employed in organic synthesis. Therefore, it is one of the critical issues to detect H2O2 accurately for industrial needs.
In this work reduced graphene oxide-supported tin oxide nano clusters modified pencil graphite electrode (SnO2-rGO/PGE) was used as electrochemical sensing material for H2O2 detection. Cyclic voltammetry and amperometry were used to investigate the catalytic properties of SnO2-rGO/PGE. Hydrothermal synthesis method was used for the fabrication of SnO2 nanoparticles and GO prepared by modified Hummers method. For the detection of H2O2, the nanoparticles were mixed with Nafion and chitosan before drop coating onto the Pencil graphite electrode (PGE) surface. This studies we found a good catalytic activities on 3B pencil that modifier with GO and SnO2nano clusters at pH (7.4). Here, include that the current increasing after using modifier PGE with nanoparticles. Electrochemical studies showed that the sensing platform fabricated from SnO2-rGO possesses fast mass transport, good electrical conductivity and high sensitivity and selectivity for the detection of H2O2.Where, composite SnO2-Go/PGE exhibited amperometric sensitivity of 129 μAmM−1cm-2 and fast response time 2s.The interference study of SnO2-rGO has been found a significant current response for H2O2 compared to the uric acid and ascorbic acid.The electrode can be prepared simply and at low cost, and present a promising tool for sensing H2O2. Here we propose a new, robust and reliable way to detect of H2O2.
Acknowledgments
Ministry of Science and Technology of Bangladesh (special allocation 2021-22) for funding this research.
Reference
J. Islam et al., PLoS ONE, 2021 16(3), e0248142.
Roy, K., et al.
Int. J. Environ. Sci. Technol. (2022). DOI: https://doi.org/10.1007/s13762-022-04301-w
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