Author(s)

Pedro dos Santos Panero, Francisco dos Santos Panero, João dos Santos Panero, Henrique Eduardo Bezerra da Silva

Campus Novo Paraíso, Instituto Federal de Educa??o, Ciência e Tecnologia de Roraima, Boa Vista, Brazil.
Departamento de Engenharia Elétrica, Universidade Federal de Roraima, Boa Vista, Brazil.
Departamento de Química, Universidade Federal de Roraima, Boa Vista, Brazil.
Instituto Federal de Educa??o, Ciência e Tecnologia de Roraima, Boa Vista, Brazil.

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.

EMSC; PLSR; SW-NIR; Extended Multiplicative Signal Correction; Chemometrics

Santos Panero, P. , Santos Panero, F. , Santos Panero, J. and Bezerra da Silva, H. (2013) Application of Extended Multiplicative Signal Correction to Short-Wavelength near Infrared Spectra of Moisture in Marzipan. Journal of Data Analysis and Information Processing, 1, 30-34. doi: 10.4236/jdaip.2013.13005.