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Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)

ISSN:2141-7016

Article Title: Application of Near Infrared Spectroscopy in Chemometric Modeling of Tannin Content and Stiasny Number of Pinus Caribaea Bark
by Derkyi, N.S.A., Adu-Amankwa, B., Sekyere, D., Darkwa, N.A

Abstract:
Tannin content and Stiasny number of pine bark are related to bond strength in tannin-formaldehyde adhesives. This study was to develop standard calibration models for rapidly determining tannin content and Stiasny number of pine bark by using Fourier transform near infrared spectroscopy. Total of 110 spectra were collected and true values of tannin content and Stiasny number, obtained using the hyde powder test and Stiasny reaction respectively. Partial least squares method was used to develop calibration models for predicting tannin content and Stiasny number. Predicted values were highly correlated with costly measured values of tannin content and Stiasny number
Keywords: spectra pre-processing, partial least squares regression, hyde powder test, stiasny reaction, calibration models, rapid prediction
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ISSN: 2141-7016

Editor in Chief.

Prof. Gui Yun Tian
Professor of Sensor Technologies
School of Electrical, Electronic and Computer Engineering
University of Newcastle
United Kingdom

 

 

Copyright © Journal of Emerging Trends in Engineering and Applied Sciences 2010