Advances in nano research

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Safety assessment of biological nanofood products via intelligent computer simulation

  • Zhao, Yunfeng (Analysis and Testing Center, Yancheng Institute of Technology) ;
  • Zhang, Le (School of Public Health and Management, Shandong First Medical University & Shandong Academy of Medical Sciences)
  • Received : 2022.01.14
  • Accepted : 2022.03.17
  • Published : 2022.08.25
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Abstract

Emerge of nanotechnology impacts all aspects of humans' life. One of important aspects of the nanotechnology and nanoparticles (NPs) is in the food production industry. The safety of such foods is not well recognized and producing safe foods using nanoparticles involves delicate experiments. In this study, we aim to incorporate intelligent computer simulation in predicting safety degree of nanofoods. In this regard, the safety concerns on the nano-foods are addressed considering cytotoxicity levels in metal oxides nanoparticles using adaptive neuro-fuzzy inference system (ANFIS) and response surface method (RSM). Three descriptors including chemical bond length, lattice energy and enthalpy of formation gaseous cation of 15 selected NPs are examined to find their influence on the cytotoxicity of NPs. The most effective descriptor is selected using RSM method and dependency of the toxicity of these NPs on the descriptors are presented in 2D and 3D graphs obtained using ANFIS technique. A comprehensive parameters study is conducted to observe effects of different descriptors on cytotoxicity of NPs. The results indicated that combinations of descriptors have the most effects on the cytotoxicity.

Keywords

Acknowledgement

This work was supported by 2017 Colleges or Universities General Project of Natural Science Research of Jiangsu Province (17KJB550008), 2019 Special Fund Project of Innovation Capacity Building of Jiangsu Province (BM2019023).

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