کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5205993 1502941 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Determination of diethyleneglycol content and number of carboxylic end groups in poly(ethylene terephthalate) fibers using imaging and conventional near infrared spectroscopy
ترجمه فارسی عنوان
تعیین محتوای دی اتیلن گلیکول و تعدادی از گروه های انتهایی کربوکسیک در الیاف پلی (اتیلن ترفتالات) با استفاده از طیف سنجی تصویربرداری و متعارف مادون قرمز
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آلی
چکیده انگلیسی
In this work, multivariate empirical models using conventional near infrared (NIR) spectroscopy and hyperspectral images were employed, respectively, to determine and map the diethyleneglycol (DEG) content and the number of carboxylic end groups (TCG) in poly(ethylene terephthalate) fiber samples. NIR spectroscopy is a fast, clean and efficient technique. NIR spectral data were obtained using two conventional spectrometers and a hyperspectral camera. The regression models were built using partial least squares. The models showed satisfactory results for the evaluated parameters, with Root Mean Squared Error of Prediction (RMSEP) values equivalent to repeatability of the reference methods. The distribution maps of the DEG and TCG content in the fibers samples were obtained by using the models built with the average spectra of the images to estimate the pixel content of each species, allowing us to identify areas with high content of these parameters.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Polymer Testing - Volume 49, February 2016, Pages 15-21
نویسندگان
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