首页|New Findings from Institute of Nanotechnology in the Area of Machine Learning Pu blished (Highly Sensitive and Selective Detection of Dimethyl Methyl Phosphonate with Copolymer-Based QCM Sensors)
New Findings from Institute of Nanotechnology in the Area of Machine Learning Pu blished (Highly Sensitive and Selective Detection of Dimethyl Methyl Phosphonate with Copolymer-Based QCM Sensors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news reporting out of the Institute of Nanotechnology b y NewsRx editors, research stated, “In this work, the volatile organic compounds (VOCs) sensing properties of a quartz crystal microbalance (QCM) transducer coa ted with six different poly(3-methylthiophene) (P3MT) copolymerized with polypyr role (PPy) are investigated.” Our news editors obtained a quote from the research from Institute of Nanotechno logy: “The sensor preparation involves the electrochemical deposition of P3MT, P Py, and P3MT-co-PPy on Au-coated QCM transducers by electrochemical deposition t echniques with a three-electrode cell. The structural properties of the copolyme r films are characterized using scanning electron microscopy, and their oxidatio n/reduction behavior is investigated through cyclic voltammetry. The copolymer-b ased QCM sensors exhibit high sensitivity and selectivity to dimethyl methyl pho sphonate and benzonitrile, even at low concentrations ( <1 p pm) at room temperature. Langmuir, Freundlich, Temkin, and Dubinin-Radushkevich adsorption isotherms are studied to understand the VOCs sensing mechanism machin e learning classification algorithms including quadratic discriminant (QD), neur al nets, K-nearest neighbors, linear discriminant, and support vector machines a re applied to classify the sensor responses for the 12 different analytes. With the help of machine learning algorithms, tested analytes are successfully classi fied into their groups. The highest accuracy of 97.34% is achieved using the QD method.”
Institute of NanotechnologyAlgorithmsChemicalsCyborgsElectrochemicalsEmerging TechnologiesMachine Learning
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