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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.

pharmaceutics and pharmacology research

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