کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1186512 963440 2011 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Application of class-modelling techniques to near infrared data for food authentication purposes
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Application of class-modelling techniques to near infrared data for food authentication purposes
چکیده انگلیسی

Following the introduction of legal identifiers of geographic origin within Europe, methods for confirming any such claims are required. Spectroscopic techniques provide a method for rapid and non-destructive data collection and a variety of chemometric approaches have been deployed for their interrogation. In this present study, class-modelling techniques (SIMCA, UNEQ and POTFUN) have been deployed after data compression by principal component analysis for the development of class-models for a set of olive oils and honeys. The number of principal components, the confidence level and spectral pre-treatments (1st and 2nd derivative, standard normal variate) were varied, and a strategy for variable selection was tried. Models were evaluated on a separate validation sample set. The outcomes are reported and criteria for selection of the most appropriate models for any given application are discussed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Chemistry - Volume 125, Issue 4, 15 April 2011, Pages 1450–1456
نویسندگان
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