首页|Hunan University Reports Findings in Machine Learning (Predicting Odor Sensory A ttributes of Unidentified Chemicals in Water Using Fragmentation Mass Spectra wi th Machine Learning Models)
Hunan University Reports Findings in Machine Learning (Predicting Odor Sensory A ttributes of Unidentified Chemicals in Water Using Fragmentation Mass Spectra wi th Machine Learning Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Changsha, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Knowing odor sensory attributes of odorants lies at the core of odor tracking when addressing waterb orne odor issues. However, experimental determination covering tens of thousands of odorants in authentic water is not pragmatic due to the complexity of odoran t identification and odor evaluation.” Our news journalists obtained a quote from the research from Hunan University, “ In this study, we propose the first machine learning (ML) model to predict odor perception/threshold aiming at odorants in water, which can use either molecular structure or MS spectra as input features. We demonstrate that model performanc e using MS spectra is nearly as good as that using unequivocal structures, both with outstanding accuracy. We particularly show the model’s robustness in predic ting odor sensory attributes of unidentified chemicals by using the experimental ly obtained MS spectra from nontarget analysis on authentic water samples. Inter preting the developed models, we identify the intricate interaction of functiona l groups as the predominant influence factor on odor sensory attributes. We also highlight the important roles of carbon chain length, molecular weight, etc., i n the inherent olfactory mechanisms.”
ChangshaPeople’s Republic of ChinaAs iaChemicalsCyborgsEmerging TechnologiesMachine Learning
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