会议论文详细信息
5th Annual International Workshop on Materials Science and Engineering
Back Propagation Artificial Neural Network Modeling and Migration Analysis of Siloxane D5 Migration from Selected Food Contact Materials
Wang, Xiujuan^1^5 ; Thu, Aung Myat^1 ; Liu, Suting^2 ; Sheng, Anbang^3 ; Song, Meng^4
Key Laboratory of Rubber-Plastics, Ministry of Education, Shandong Provincial Key Laboratory of Rubber-plastics, Qingdao University of Science and Technology, Qingdao
266042, China^1
Department of Chemical Engineering, Weifang Vocational College, Weifang
262737, China^2
Qingdao Metro Group Co., Ltd, Qingdao
266000, China^3
School of Materials and Chemical Engineering, Zhongyuan University of Technology, Zhengzhou
450007, China^4
Zhejiang Tiantie Industry Co., Ltd, Zhejiang
317200, China^5
关键词: Artificial neural network models;    Back propagation artificial neural network (BPANN);    Decamethylcyclopentasiloxane;    Detection and quantifications;    Early warning mechanisms;    Environmental pollutions;    Food contact material;    High temperature condition;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/585/1/012121/pdf
DOI  :  10.1088/1757-899X/585/1/012121
来源: IOP
PDF
【 摘 要 】

The detection and quantification of environmental pollution compounds migration in food contact silicone rubber materials remains a prospective issue to be solved in the consideration of toxicology and safety assessment. In this study, an artificial neural network (ANN) model was established to predict migration property of non-target compound decamethylcyclopentasiloxane (D5) molecule in food contact silicone rubber. The average prediction accuracy of the model was 99.8%. The analysis of ANN indicates that high temperature condition accelerates the migration of D5 from silicone rubber into two typical food simulants, namely H2O and acetic acid. The migration of D5 is more apparent when the silicone rubber is in contact with acetic acid. The combination of experiment and simulation analysis of D5 migration indicates that high temperature and acetic acid food simulant environment threaten the safety of food contact silicone rubber. These fundamental studies can provide a comprehensive understanding of the migration of cyclic organosiloxane oligomer from silicone rubber and guidance for the safety evaluation and early warning mechanisms.

【 预 览 】
附件列表
Files Size Format View
Back Propagation Artificial Neural Network Modeling and Migration Analysis of Siloxane D5 Migration from Selected Food Contact Materials 728KB PDF download
  文献评价指标  
  下载次数:16次 浏览次数:27次