Title of article :
A near-infrared study of hydrogen bonds in alcohols—comparison of chemometrics and spectroscopic analysis
Author/Authors :
Maeda، نويسنده , , Hisashi and Wang، نويسنده , , Yan and Ozaki، نويسنده , , Yukihiro and Suzuki، نويسنده , , Masao and Czarnecki، نويسنده , , Miros?aw A and Iwahashi، نويسنده , , Makio، نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 1999
Pages :
10
From page :
121
To page :
130
Abstract :
Near-infrared (NIR) spectra of n-, sec-, and tert-butanol in CCl4 were measured over a temperature range of 10–60°C. The spectra obtained were analyzed by both spectroscopic analytical methods such as calculations of the difference spectra and the second derivatives, and chemometrics, namely partial least squares (PLS) regression. The present study aims at comparing the spectroscopic analytical methods with chemometrics in the analysis of NIR spectra of n-, sec-, and tert-butanols in CCl4. The three kinds of alcohol showed an intense band due to the first overtone of the OH stretching mode in the 7120–7030 cm−1 (1404–1422 nm) region. The calculations of the difference spectra and the second derivatives revealed that the above bands of n- and sec-butanol consist of three and four component bands, respectively, due to the rotational isomerism of the monomer, the OH group weakly hydrogen-bonded with CCl4, and the terminal free OH groups of the self-associated species. For tert-butanol, which does not have the rotational isomerism, the corresponding band splits into only two components. Temperature of the alcohols was predicted by use of PLS regression. The regression coefficients for the models predicting the temperature of the alcohols were almost identical with the difference spectra of the alcohols between 10 and 60°C. Both the regression coefficients and the difference spectra reflect strongly the changes in the hydrogen bonds of the alcohols.
Keywords :
Hydrogen bonds , Near-infrared spectroscopy , Butanol , CCl4 , Regression coefficient , PLS regression
Journal title :
Chemometrics and Intelligent Laboratory Systems
Serial Year :
1999
Journal title :
Chemometrics and Intelligent Laboratory Systems
Record number :
1460023
Link To Document :
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