Predicting partition coefficients of migrants in food simulant/polymer systems using Adaptive Neuro-Fuzzy Inference System
- سال انتشار: 1389
- محل انتشار: اولین کنفرانس ملی محاسبات نرم و فن آوری اطلاعات
- کد COI اختصاصی: NCSCIT01_096
- زبان مقاله: انگلیسی
- تعداد مشاهده: 1715
نویسندگان
Department of Chemistry, Islamic Azad University- Mahshahr Branch, Mahshahr, Iran
چکیده
Food contaminations by migration of low molecular weight additives into foodstuffs can be resulted of direct contact between packaging materials and food. The amount of migration is related to the structural properties of the additive as well as to the nature of packaging material. The goal of this study is development of a quantitative structure- roperty relationship (QSPR) model by the adaptive neuro-fuzzy inference system (ANFIS) for prediction of the partition coefficient in food/packaging system. The partition coefficients of a set of 44 various systems consisted of 4 food simulants, 6 migrants and 2 packaging materials were investigated. A set of 6 molecular descriptors representing various structural characteristics of food simulants, migrants and polymers was used as data set. ANFIS as a new modeling technique was applied for the first time in this filed. The resulted model had a correlation coefficient (R2) of 0.9920 for the prediction set.کلیدواژه ها
Quantitative Structure-Property Relationship (QSPR), Adaptive Neuro-Fuzzy Inference System (ANFIS), Partition Coefficients, Migrationمقالات مرتبط جدید
- مرور سیستماتیک کاربرد هوش مصنوعی در موسیقی
- In-silico Analyses for Finding Potential Key Genes and Pathways Associated with Guillain-Barré Syndrome Using Computational Tools
- OCD Severity Based on EEG Signals
- Investigating the (non) -Impact of Customizing Knowledge Bases of Artificial Intelligence -Driven Robot on Language for Specific Purposes Learning
- The Need for Telehealth and Tele-Educationon in Optimizing Measles Surveillance and Reducing Healthcare Costs
اطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.