کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7600804 1492145 2014 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
FTIR-ATR determination of solid non fat (SNF) in raw milk using PLS and SVM chemometric methods
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
FTIR-ATR determination of solid non fat (SNF) in raw milk using PLS and SVM chemometric methods
چکیده انگلیسی
Fourier transform infrared spectroscopy (FTIR) attenuated total reflectance (ATR) spectroscopy, coupled with chemometrics methods have been applied to the fast and non-destructive quantitative determination of solid non fat (SNF) content in raw milk. Partial least squares regression (PLS) and support vector machine (SVM) regression methods were used to model and predict SNF contents in raw milk based on FTIR spectral transmission measurements. Both methods, PLS and SVM, showed good performances in SNF prediction with relative prediction errors in the external validation of between 0.2% and 0.3% depending on the spectral range and regression method. Coefficient of determination of the global fit was always above 0.99. Since, the relative prediction errors were low, it can be concluded that FTIR-ATR with chemometrics can be used for accurate quantitative determinations of SNF contents in raw milk within the investigated calibration range of 79-100 g/L. The proposed procedure is fast, non-destructive, simple and easy to implement.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Chemistry - Volume 146, 1 March 2014, Pages 250-254
نویسندگان
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