Predicting lignin content of wood samples with FTIR spectra

Predicting lignin content of wood samples with FTIR spectra

Building a principal component regression model in data of Norway spruce clones

LAP Lambert Academic Publishing ( 15.09.2010 )

€ 49,00

Купить в магазине MoreBooks!

Conifer cell wall contains 15–35 % lignin. For wood processing industry, varying lignin content in raw material causes problems, as it makes it more difficult to assure a uniform quality of end products. Yet variation in lignin content in trees has been studied only little, mainly because the traditional laboratory methods for lignin content determination are very laborious and thus too costly for large sets of samples. In this work, we present a way of constructing a rapid and reproducible method for lignin content determination: we build a principal component regression (PCR) model with which lignin content in wood samples can be predicted from the Fourier-transformed infrared (FTIR) spectra measured on the samples. We strive to present the statistical theory needed in model construction (estimation, selection, testing) and lignin content prediction in an explicit and precise way. Hence, the work should be useful to wood scientists and statisticians with similar modelling endeavours.

Детали книги:

ISBN-13:

978-3-8383-3375-5

ISBN-10:

3838333756

EAN:

9783838333755

Язык книги:

English

By (author) :

Minna Pulkkinen

Количество страниц:

60

Опубликовано:

15.09.2010

Категория:

Химическая технология