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| Optimization of Nitrosation Inhibitors for Blocking N-nitrosodimethylamine Formation Based on Quadratic Regression Orthogonal Design |
| XIONG Fengjiao1, MA Lizhen1,*, WANG Yang2 |
| 1.Tianjin Aquatic Product Processing and Quality Safety School-Enterprise Collaborative Innovation Laboratory, National R&D Branch Center for Conventional Freshwater Fish Processing, College of Food Science and Biotechnology, Tianjin Agricultural University, Tianjin 300384, China; 2.Tianjin Key Laboratory of Aquatic Ecology and Aquaculture, College of Fisheries, Tianjin Agricultural University, Tianjin 300384, China |
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Abstract The quadratic regression orthogonal design was used to study the effects of tea polyphenols, rosemary, VE, and VC on the inhibition rate of N-dimethylnitrosamine (NDMA) in the model system. The quadratic regression equation with four factors was obtained, tested and verified. The results showed that the quadratic regression equation could better describe the effects of the four factors on the inhibition rate of NDMA, and the theoretical highest inhibition rate was 47.16% when tea polyphenols, rosemary, VE, and VC were added at 60.14, 60.11, 60.00, and 60.00 mg/L to the model system. The optimal combination was verified in an in vitro model system, and the average inhibition rate of NDMA was 45.32%. The inhibitors could inhabit 44.00% of NDMA in fish tofu. The results showed that regression model had high fitting degree and indicated that the optimal inhibitor combination was reasonable and feasible.
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2018, Vol. 32 
