Near-infrared spectroscopy and accelerated ageing in evaluating the vigour of lentil seeds

ABSTRACT The cultivation and consumption of lentils has been gaining importance in recent years due to the high nutritional value of the grain. Research related to seed technology is therefore important in providing high-quality seeds for the market. The aim o f this study was to adapt the accelerat...

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Main Authors: Marcelo Augusto Rocha Limão, Denise Cunha Fernandes dos Santos Dias, Warley Marcos Nascimento, Bruno Gomes de Noronha, Júlia Martins Soares, Laércio Junio da Silva
Format: Article
Language:English
Published: Universidade Federal do Ceará 2025-01-01
Series:Revista Ciência Agronômica
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902025000100634&lng=en&tlng=en
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author Marcelo Augusto Rocha Limão
Denise Cunha Fernandes dos Santos Dias
Warley Marcos Nascimento
Bruno Gomes de Noronha
Júlia Martins Soares
Laércio Junio da Silva
author_facet Marcelo Augusto Rocha Limão
Denise Cunha Fernandes dos Santos Dias
Warley Marcos Nascimento
Bruno Gomes de Noronha
Júlia Martins Soares
Laércio Junio da Silva
author_sort Marcelo Augusto Rocha Limão
collection DOAJ
description ABSTRACT The cultivation and consumption of lentils has been gaining importance in recent years due to the high nutritional value of the grain. Research related to seed technology is therefore important in providing high-quality seeds for the market. The aim o f this study was to adapt the accelerated ageing test and evaluate the potential of FT-NIR spectroscopy for classifying lentil seeds based on physiological potential. Seven batches of lentil seeds were subjected to tests to characterise their physiological potential. The accelerated ageing test included the traditional method (100% RH) with an alternative method using saturated saline solution (76% RH) at 41 °C for 24, 36, 48 and 72 hours. NIR spectra were also obtained, taking 200 spectral readings from each batch that were individually processed for 30 seconds. Following the spectral analysis, the seeds were submitted to tests of germination and accelerated ageing to validate the technique. The PLS-DA technique was employed, using 70% of the data for training and 30% for validation. Different pre-processing methods were used, including the standard normal variate (SNV), multiplicative scatter correction (MSC), and the 1st and 2nd Savitzky-Golay (SG) derivatives. It was concluded that the accelerated ageing test at 41 °C for 48 hours using the traditional method (100% RH) was the most efficient way of evaluating the physiological potential of the lentil seeds. The models derived from the FT-NIR spectral data were 99% accurate in predicting the class of physiological potential of the batches.
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spelling doaj-art-271ec855ec1d406da74dc5846b3cc4d02025-01-21T07:37:57ZengUniversidade Federal do CearáRevista Ciência Agronômica1806-66902025-01-015610.5935/1806-6690.20250034Near-infrared spectroscopy and accelerated ageing in evaluating the vigour of lentil seedsMarcelo Augusto Rocha Limãohttps://orcid.org/0000-0003-1265-1014Denise Cunha Fernandes dos Santos Diashttps://orcid.org/0000-0002-0596-2490Warley Marcos Nascimentohttps://orcid.org/0000-0002-6235-0917Bruno Gomes de Noronhahttps://orcid.org/0000-0002-3245-5312Júlia Martins Soareshttps://orcid.org/0000-0001-9432-6009Laércio Junio da Silvahttps://orcid.org/0000-0001-7202-0420ABSTRACT The cultivation and consumption of lentils has been gaining importance in recent years due to the high nutritional value of the grain. Research related to seed technology is therefore important in providing high-quality seeds for the market. The aim o f this study was to adapt the accelerated ageing test and evaluate the potential of FT-NIR spectroscopy for classifying lentil seeds based on physiological potential. Seven batches of lentil seeds were subjected to tests to characterise their physiological potential. The accelerated ageing test included the traditional method (100% RH) with an alternative method using saturated saline solution (76% RH) at 41 °C for 24, 36, 48 and 72 hours. NIR spectra were also obtained, taking 200 spectral readings from each batch that were individually processed for 30 seconds. Following the spectral analysis, the seeds were submitted to tests of germination and accelerated ageing to validate the technique. The PLS-DA technique was employed, using 70% of the data for training and 30% for validation. Different pre-processing methods were used, including the standard normal variate (SNV), multiplicative scatter correction (MSC), and the 1st and 2nd Savitzky-Golay (SG) derivatives. It was concluded that the accelerated ageing test at 41 °C for 48 hours using the traditional method (100% RH) was the most efficient way of evaluating the physiological potential of the lentil seeds. The models derived from the FT-NIR spectral data were 99% accurate in predicting the class of physiological potential of the batches.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902025000100634&lng=en&tlng=enLens culinaris MedikPhysiological qualityDeteriorationArtificial intelligenceFT-NIR
spellingShingle Marcelo Augusto Rocha Limão
Denise Cunha Fernandes dos Santos Dias
Warley Marcos Nascimento
Bruno Gomes de Noronha
Júlia Martins Soares
Laércio Junio da Silva
Near-infrared spectroscopy and accelerated ageing in evaluating the vigour of lentil seeds
Revista Ciência Agronômica
Lens culinaris Medik
Physiological quality
Deterioration
Artificial intelligence
FT-NIR
title Near-infrared spectroscopy and accelerated ageing in evaluating the vigour of lentil seeds
title_full Near-infrared spectroscopy and accelerated ageing in evaluating the vigour of lentil seeds
title_fullStr Near-infrared spectroscopy and accelerated ageing in evaluating the vigour of lentil seeds
title_full_unstemmed Near-infrared spectroscopy and accelerated ageing in evaluating the vigour of lentil seeds
title_short Near-infrared spectroscopy and accelerated ageing in evaluating the vigour of lentil seeds
title_sort near infrared spectroscopy and accelerated ageing in evaluating the vigour of lentil seeds
topic Lens culinaris Medik
Physiological quality
Deterioration
Artificial intelligence
FT-NIR
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902025000100634&lng=en&tlng=en
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