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دسته بندی:
سیستم های خبره - expert systems
سال انتشار:
2019
عنوان انگلیسی مقاله:
An expert system based on 1H NMR spectroscopy for quality evaluation and adulteration identification of edible oils
ترجمه فارسی عنوان مقاله:
یک سیستم خبره مبتنی بر طیف سنجی 1H NMR برای ارزیابی کیفیت و شناسایی زون روغن های خوراکی
منبع:
Sciencedirect - Elsevier - Journal of Food Composition and Analysis, 84 (2019) 103316: doi:10:1016/j:jfca:2019:103316
نویسنده:
Shihao Cai, Yan Zhang, Feng Xia, Guiping Shen, Jianghua Feng⁎
چکیده انگلیسی:
The advantages of nuclear magnetic resonance (NMR) such as nondestructive and simultaneous detection, high
reproducibility and rapidity make it easily develop the objective and credible methods for food analysis and
identification. In this study, we developed a computer-aided, MATLAB-scripted expert system which enables
NMR data to distinguish different edible oils and evaluate the quality of edible oils. The NMR spectral data of
seven species of most popular vegetable edible oils in China were used to establish the assessment criterions
including the content percentage of fatty acids and the quality parameters of edible oils. In our case, the
identification accuracy of vegetable origin for the pure edible oils is 95.83% and that for the mixed edible oils is
89.58%, and all the recycled waste cooking oils and fried oils were correctly screened out and identified by the
expert system. Further, the quality information of the edible oils was also provided. Our results show that the
current expert system is a fast, easy-operated and convenient tool for the adulteration identification and quality
control of edible oils.
Keywords: Edible oil | 1H nuclear magnetic resonance | Food analysis | Food composition | Quality parameters | Expert system | Classification | Identification |
Adulteration | Quantitative analysis
قیمت: رایگان
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