QUANTITATIVE THERMOGRAVIMETRY ON PEAT - A MULTIVARIATE APPROACH

被引：18

作者：

PERSSON, JA ^{[1
]}

JOHANSSON, E ^{[1
]}

ALBANO, C ^{[1
]}

机构：

[1] NATL SWEDISH LAB AGR CHEM,BOX 5097,S-90005 UMEA,SWEDEN

来源：

ANALYTICAL CHEMISTRY | 1986年 / 58卷 / 06期

关键词：

FUELS - Gravimetric Analysis - ORGANIC COMPOUNDS - Chemical Analysis;

D O I：

10.1021/ac00297a043

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Thermogravimetry (TG) in combination with a statistical method, partial least-squares modeling of latent variable (PLS), has been proved to be useful for quantitative determinations of chemical and physical properties in complex samples, e. g. , peat. Samples representing the major peat types in Sweden were used and the sample properties determined were calorific value, carbon content, hydrolyzable substance (R value), and volume weight. A comparison between PLS and stepwise multiple regression for this kind of data evaluation is made.

引用

页码：1173 / 1178

页数：6

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