首页|Chinese Research Academy of Environmental Sciences Reports Findings in Machine L earning [Machine learning models to predict the bioaccessibil ity of parent and substituted polycyclic aromatic hydrocarbons (PAHs) in food: I mpact on accurate health ...]

Chinese Research Academy of Environmental Sciences Reports Findings in Machine L earning [Machine learning models to predict the bioaccessibil ity of parent and substituted polycyclic aromatic hydrocarbons (PAHs) in food: I mpact on accurate health ...]

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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 reporting originating in Beijing, Peopl e's Republic of China, by NewsRx journalists, research stated, "Food intake is t he primary pathway for polycyclic aromatic hydrocarbons (PAHs) to enter the huma n body. Once ingested, PAHs tend to accumulate, posing health risks." The news reporters obtained a quote from the research from the Chinese Research Academy of Environmental Sciences, "To accurately assess the risk of PAHs from f ood, concentrations of 10 parent PAHs (PPAHs) and 15 substituted PAHs (SPAHs) we re detected across 34 commonly consumed foods. Results indicated that SPAHs conc entrations (3.89-11.6 ng/g dw) were higher than PPAH concentrations (1.66-3.43 n g/g dw) in shrimp and shellfish and freshwater fish. Four machine learning algor ithms were used to predict the bioaccessibility of PAHs in foods, with the rando m forest model performing the best (R =0.987, RMSE=5.99). Feature variable impor tance analysis revealed that lipid and protein contents in food are critical var iables influencing PAH bioaccessibility. Subsequently, the bioaccessibility of 2 5 PAHs in various foods was predicted to explore its impact on health risk asses sment. Consequently, the carcinogenic risks considering bioaccessibility (5.62 x 10-7.12 x 10) was about an order of magnitude lower than that ignoring bioacces sibility (1.52 x 10-1.69 x 10), yet it still exceeded 10, indicating potential c arcinogenic risks. Although PPAHs and alkylated PAHs were predominant in foods, 6-nitrochrysene was the main compound inducing both non-carcinogenic and carcino genic risks owing to its high toxicity."

BeijingPeople's Republic of ChinaAsiaAromatic HydrocarbonsCyborgsCyclic HydrocarbonsEmerging TechnologiesH ydrocarbonsMachine LearningOrganic ChemicalsRisk and Prevention

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.30)