Application of Extended Multiplicative Signal Correction to Short-Wavelength near Infrared Spectra of Moisture in Marzipan

作     者：Pedro dos Santos Panero Francisco dos Santos Panero Joao dos Santos Panero Henrique Eduardo Bezerra da Silva 

作者机构：Campus Novo ParaisoInstituto Federal de EducacaoCiencia e Tecnologia de RoraimaBoa VistaBrazil Instituto Federal de EducacaoCiencia e Tecnologia de RoraimaBoa VistaBrazil Departamento de Engenharia EletricaUniversidade Federal de RoraimaBoa VistaBrazil Departamento de QuimicaUniversidade Federal de RoraimaBoa VistaBrazil 

出 版 物：《Journal of Data Analysis and Information Processing》 (数据分析和信息处理（英文）)

年 卷 期：2013年第1卷第3期

页      面：30-34页

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

主　　题：EMSC PLSR SW-NIR Extended Multiplicative Signal Correction Chemometrics 

摘      要：Short-wavelength near infrared spectroscopy (SW-NIR) is a very rapid, versatile and precise technique, which can be used in many different situations and for very types of products and chemical compounds. Extended multiplicative signal correction (EMSC) is a modification of the standard MSC pre-processing method that allows the separation of physical light scattering effects from chemical (vibrational) light absorbance effects in spectra. In this paper, the EMSC is applied and compared with first derivate, second derivate, MSC and SNV in combination of PLSR to obtain robust models in terms of accuracy and predict ability with a reduced calibration data set using SW-NIR spectra of moisture in marzipan. The Extended Multiplicative Signal Correction—EMSC and combination methods provide the best results in terms of prediction ability and calibration SW-NIR spectra of moisture in marzipan. The best classification results were obtained by Extended Multiplicative Signal Correction followed by second derivates.