Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Gram-Positive Bacteria - Staphylo coccus aureus is the subject of a report. According to news reporting out of Sao Carlos, Brazil, by NewsRx editors, research stated, “Mastitis diagnosis can be made by detecting Staphylococcus aureus (S. aureus), which requires high sensitivity and selectivity. Here, we report on microflui dic genosensors and electronic tongues to detect S. aureus DNA using impedance spectroscopy with data analysis employing visual analytics and machine learning techniques.” Our news journalists obtained a quote from the research, “The genosensors were m ade with layer-bylayer films containing either 10 bilayers of chitosan/chondroi tin sulfate or 8 bilayers of chitosan/sericin functionalized with an active laye r of cpDNA S. aureus. The specific interactions leading to hybridization in these genosensors allowe d for a low limit of detection of 5.90 x 10 mol/L. The electronic tongue had fou r sensing units made with 6-bilayer chitosan/chondroitin sulfate films, 10-bilay er chitosan/chondroitin sulfate, 8-bilayer chitosan/sericin, and 8-bilayer chito san/gold nanoparticles modified with sericin. Despite the absence of specific in teractions, various concentrations of DNA S. aureus could be distinguished when the impedance data were plotted using a dimensional ity reduction technique. Selectivity of S. aureus DNA was confirmed using multidimensional calibration spaces, based on machine l earning, with accuracy up to 89 % for the genosensors and 66 % for the electronic tongue.”
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