کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7585660 | 1492041 | 2018 | 30 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Discrimination of geographical origin of extra virgin olive oils using terahertz spectroscopy combined with chemometrics
ترجمه فارسی عنوان
تبعیض بر مبنای جغرافیایی روغن زیتون فوق العاده با استفاده از طیف سنجی تراهرتز همراه با شیمی درمانی
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کلمات کلیدی
طیف سنجی تهراهتز، تبعیض سریع، منشاء جغرافیایی، روغن زیتون اضافی، شیمیدرمانی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
Discrimination of geographical origin of extra-virgin olive oils (EVOOs) is of great importance for legislation and consumers worldwide. The feasibility of a rapid discrimination of four different geographical origins of EVOOs with terahertz spectroscopy system was examined. Different chemometrics including least squares-support vector machines (LS-SVM), back propagation neural network (BPNN) and random forest (RF) combined with principal component analysis (PCA), genetic algorithm (GA) were compared to obtain the best discrimination model. The results demonstrated that there were apparent differences among the four different geographical origins of EVOOs in fatty acid compositions and the absorbance spectra, and an excellent classification (accuracy was 96.25% in prediction set) could be achieved using the LS-SVM method combine with GA. It can be concluded that THz spectroscopy together with chemometrics would be a promising technique to rapid discriminate the geographical origin of EVOOs with high efficiency.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Chemistry - Volume 251, 15 June 2018, Pages 86-92
Journal: Food Chemistry - Volume 251, 15 June 2018, Pages 86-92
نویسندگان
Wei Liu, Changhong Liu, Junjie Yu, Yan Zhang, Jian Li, Ying Chen, Lei Zheng,