Predicting partition coefficients of migrants in food simulant/polymer systems using adaptive neuro-fuzzy inference system
Author:
Publisher
FapUNIFESP (SciELO)
Subject
General Chemistry
Link
http://www.scielo.br/pdf/jbchs/v22n8/v22n8a07.pdf
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. General guidelines for a successful joint determination of the diffusion and the partition coefficients in polymeric food contact materials based on optimal experimental design;Journal of Applied Polymer Science;2021-09-28
2. Molecular docking-based classification and systematic QSAR analysis of indoles as Pim kinase inhibitors;SAR and QSAR in Environmental Research;2020-04-22
3. High-throughput dietary exposure predictions for chemical migrants from food contact substances for use in chemical prioritization;Environment International;2017-11
4. Modeling corrosion trends in tin-free steel and tinplate cans containing tomato paste via adaptive-network-based fuzzy inference system;Journal of Food Process Engineering;2017-06-08
5. QSAR Study of Artemisinin Analogues as Antimalarial Drugs by Neural Network and Replacement Method;Drug Research;2017-05-30
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