کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1181015 1491550 2013 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Raman correlation spectroscopy: A method studying physical properties of polystyrene by the means of multivariate analysis
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Raman correlation spectroscopy: A method studying physical properties of polystyrene by the means of multivariate analysis
چکیده انگلیسی


• Discrimination of ten families of polystyrene
• Determination of polymer physical properties by Raman spectroscopy
• Various procedures of spectral correction applied
• Performance by robustness tests

Raman spectroscopy was used to determine physical properties of various grades of polystyrene, such as the Vicat temperature, the Izod impact and the Melt Flow Index. A number of 255 measurements were acquired on 195 samples of polystyrene pellets. The objective of this study is the correlation of these Raman results with those obtained by conventional techniques. Raman data endured different pre-treatments, such as correction of baseline, area normalization, selection of variables or multiple scatter correction. First, to discriminate the different families of polystyrene, Principal Component Analysis was applied to Raman spectra. Then, on the basis of Partial Least Square regression with random cross validation, the correlation between Raman spectrum of polystyrene and its physical properties was studied and discussed in the case of each pre-processing, in terms of correlation factor, the root-mean-square-error of calibration, the root-mean-square-error of validation and the root-mean-square-error of prediction, the bias and the number of latent variables. For example, in the specific case of the Vicat temperature, the best correlation factor is close to 0.98, and the root-mean-square-error of prediction is 0.85 °C with three latent variables which are correlated with the Raman spectrum of raw materials.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 128, 15 October 2013, Pages 77–82
نویسندگان
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