کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5131258 1490892 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Paper spray mass spectrometry and PLS-DA improved by variable selection for the forensic discrimination of beers
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Paper spray mass spectrometry and PLS-DA improved by variable selection for the forensic discrimination of beers
چکیده انگلیسی


- For the first time a supervised classification multivariate method was used for PS-MS.
- Direct analysis by PS-MS combined with PLS-DA was used for fast beer differentiation.
- Differentiation was studied in a forensic context for beers of a single type (lagers).
- Variable selection was utilised for improving the PLS-DA model.
- OPS (ordered predictors selection) provided a method with 100% of reliability rate.

Paper spray mass spectrometry (PS-MS) combined with partial least squares discriminant analysis (PLS-DA) was applied for the first time in a forensic context to a fast and effective differentiation of beers. Eight different brands of American standard lager beers produced by four different breweries (141 samples from 55 batches) were studied with the aim at performing a differentiation according to their market prices. The three leader brands in the Brazilian beer market, which have been subject to fraud, were modeled as the higher-price class, while the five brands most used for counterfeiting were modeled as the lower-price class. Parameters affecting the paper spray ionization were examined and optimized. The best MS signal stability and intensity was obtained while using the positive ion mode, with PS(+) mass spectra characterized by intense pairs of signals corresponding to sodium and potassium adducts of malto-oligosaccharides. Discrimination was not apparent neither by using visual inspection nor principal component analysis (PCA). However, supervised classification models provided high rates of sensitivity and specificity. A PLS-DA model using full scan mass spectra were improved by variable selection with ordered predictors selection (OPS), providing 100% of reliability rate and reducing the number of variables from 1701 to 60. This model was interpreted by detecting fifteen variables as the most significant VIP (variable importance in projection) scores, which were therefore considered diagnostic ions for this type of beer counterfeit.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Analytica Chimica Acta - Volume 940, 12 October 2016, Pages 104-112
نویسندگان
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