Fast estimation of sorption of organic compounds in polymeric packaging materials

被引:2
|
作者
Hong, Bingbing [1 ]
Zhang, Liling [1 ]
Zheng, Jianwei [1 ]
Sullivan, Michael B. [1 ]
You, Xiaorong [2 ]
Kriegel, Robert [2 ]
Moffitt, Ronald [3 ]
机构
[1] Inst High Performance Comp, 1 Fusionopolis Way, Singapore 138632, Singapore
[2] Coca Cola Co, Global Res, 1 Coca Cola Plaza, Atlanta, GA 30313 USA
[3] Coca Cola Co, Global Engn, 1 Coca Cola Plaza, Atlanta, GA 30313 USA
关键词
Partition coefficient; Flory Huggins theory; Group contribution; Hansen solubility parameters; Aroma loss; Food packaging; MOLECULAR-DYNAMICS SIMULATIONS; GRAND-CANONICAL ENSEMBLE; SOLUTE PARTITION-COEFFICIENTS; PASSIVE SAMPLERS; SOLUBILITY; THERMODYNAMICS; PREDICTION; ADDITIVES; MIGRATION; DEVICES;
D O I
10.1016/j.fpsl.2018.02.005
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Partition coefficient of organic flavor compounds between polymers and food/beverage is essential to the development of packaging materials. A fast and reliable prediction tool is highly desired. A prediction approach based on well known Flory-Huggind thoery is explored. Via incorporating group contribution methods, the Flory-Huggins theory gains the ability of describing molecular structures. Therefore, it is able to describe the effects of crystallization, branching, copolymer, mixture of polymer with additives, polymer blend, composition variations and coexisting solutes. The predicted solubilities in parenteral and aqueous NVPS solutions are in close agreement with experimental results, indicating that FH-GCM can be used for prediction of partition coefficient in dilute solution.
引用
收藏
页码:97 / 102
页数:6
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