Rapid and nondestructive quantitative analysis of natural rubber blends regardless of geographical origin and harvest time of the natural rubber
ABSTRACT Natural rubber (NR) blends are widely used in many industries because of their excellent integrated properties. However, a simple, easily operational, nondestructive, and accurate method for their quantitative analysis remains as a challenge. This has been always an important issue in the r...
Saved in:
Published in | Journal of applied polymer science Vol. 132; no. 6; pp. np - n/a |
---|---|
Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Blackwell Publishing Ltd
10.02.2015
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0021-8995 1097-4628 |
DOI | 10.1002/app.41423 |
Cover
Summary: | ABSTRACT
Natural rubber (NR) blends are widely used in many industries because of their excellent integrated properties. However, a simple, easily operational, nondestructive, and accurate method for their quantitative analysis remains as a challenge. This has been always an important issue in the related industries, particularly for their daily quality control tests. One main reason is that NR ingredients vary according to their geographical origin and the harvest time, which renders it hard to set up a versatile analytical protocol for all NRs. Another reason is owing to the defects of the established methods themselves as having been revealed in those relying on TGA, Py‐GC/MS, FTIR, and ATR‐FTIR. In this study, a simple and feasible method based on near infrared spectroscopy combined with chemometric is proposed to solve this problem for the first time. NR/SBR (styrene‐butadiene rubber) rubber blend, the most widely used NR blend, is selected as a typical research subject. Spectral calibration region, factor, and several different pretreatment methods are applied on the spectra data to optimize calibration models. The result shows the optimized calibration model provides a good accuracy (0.135 wt %), intraday precision (0.121 wt %) and interday precision (0.132 wt %) for 3 months. © 2014 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2015, 132, 41423. |
---|---|
Bibliography: | ArticleID:APP41423 istex:419B20A0EF65DACD2FB21A18785157662547E25D ark:/67375/WNG-Q8Z1Z7G8-X ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 0021-8995 1097-4628 |
DOI: | 10.1002/app.41423 |