Classification of artificially aged lentil seeds using Fourier 					transform near-infrared spectroscopy1

Marcelo Augusto Rocha  Limão; Daniel Teixeira  Pinheiro; André Dantas de  Medeiros; João Paulo Oliveira  Ribeiro; Denise Cunha Fernandes dos Santos  Dias; Laércio Junio da  Silva

Classification of artificially aged lentil seeds using Fourier transform near-infrared spectroscopy1

Autores

Marcelo Augusto Rocha Limão

Daniel Teixeira Pinheiro

André Dantas de Medeiros

João Paulo Oliveira Ribeiro

Denise Cunha Fernandes dos Santos Dias

Laércio Junio da Silva

Editor

Universidade Federal de Goiás

Descripción

Seed deterioration is among the main causes of loss in physiological potential. This study aimed to investigate the potential of Fourier transform near-infrared (FT-NIR) spectroscopy to classify lentil seeds subjected to artificial aging at 41 ºC and 100 % of relative humidity for 24, 48, 72, 96 and 120 hours, with unaged seeds used as control. After obtaining the spectra, the seeds were submitted to germination tests, and the percentages of normal, vigorous and weak seedlings, as well as dead seeds, were recorded. From the spectral data, models were obtained using the Partial Least Squares - Discriminant Analysis (PLS-DA) method, separating 70 % of the data for training and 30 % for validation. Pre-processing using the second derivative of Savitzky-Golay (SG) and the combination of the second derivative of SG + multiplicative scatter correction resulted in accuracy and kappa values in training of 0.94 and 0.92, respectively. The FT-NIR spectroscopy showed to be a promising tool for classifying artificially aged lentil seeds, considering their physiological potential.