Protein Staining and Analysis with Artificial Intelligence Color Algorithm Analysis with 2-Dimensional Inkjet Printer to Identify Covid-19 Adhesion and Infected Properties on Artificial Body Fluid

Ozan Eyupoglu

doi:10.31579/2693-7247/022

Abstract

In this study, the predictive modeling of Covid-19 viral contamination on artificial body fluids (simulated lung fluid, perspiration, saliva, and urine) was done by colorimetric analysis of protein staining on paper ground with henna ethanolic extract loaded on a 2-dimensional printer cartridge. The purchased artificial body fluids were left in the open-air atmosphere of sterile containers to the public places of pandemic hospitals, pharmacies, which are the most frequent places of Covid-19 patients for 2 weeks. These body fluids, which were then thought to be Covid-19 adsorption, were safely collected and placed in the cartridge chambers of the 2-D printer. The mixtures of artificial body fluids and henna plant extract in the cartridges were sprayed on the paper floor by ink painting. The algorithmic matrix code system was created by colorimetric predictive scaling between +1 and -1 about the images of viral transmission to artificial body fluids taken with a smartphone.

Highlights

The spread of Covid-19 throughout China is evaluated with ecological factors such as population density, temperature, and precipitation [1]
Rapidly been exposed to a viral contamination spread through social contact with first Covid-19 case recorded in the March 11, 2020 because of its geographical position in the European and Asian transition point [2]
The adsorption potential of Covid-19 to artificial body fluids placed in hospital environments with sterile containers was firstly investigated by colorimetric algorithm on paper platform from henna protein staining zone areas with 2-dimensional printer and smartphone technology

Summary

Introduction

The spread of Covid-19 throughout China is evaluated with ecological factors such as population density, temperature, and precipitation [1]. The adsorption potential of Covid-19 to artificial body fluids (simulated lung fluid, perspiration, saliva, urine) placed in hospital environments with sterile containers was firstly investigated by colorimetric algorithm on paper platform from henna protein staining zone areas with 2-dimensional printer and smartphone technology. Developed Diagnosis Method: Artificial Body Fluids Test Solutions (simulated lung fluid, perspiration, saliva, urine), which are models containing representative components of the facts, were purchased from LC Tech Pickering Laboratories Company. The adsorptions of four different artificial body fluids (simulated lung fluid, perspiration, saliva, urine) on a 2-dimensional paper floor were expressed in a [2x4] matrix linear coordinate plane consisting of -1 to +1 algorithmic variables (Table 1). Mann Whitney U test was used and Significance was indicated by the (#) sign according to p

Findings

Result and Discussion

Conclusions