High-throughput seed quality analysis in faba bean: leveraging Near-InfraRed spectroscopy (NIRS) data and statistical methods

Lippolis, Antonio; Polo, Pamela Vega; de Sousa, Guilherme; Dechesne, Annemarie; Pouvreau, Laurice; Trindade, Luisa M.

doi:10.1016/j.fochx.2024.101583

Food Chemistry: X

2024

DOI: 10.1016/j.fochx.2024.101583

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High-throughput seed quality analysis in faba bean: leveraging Near-InfraRed spectroscopy (NIRS) data and statistical methods

Antonio Lippolis,

Pamela Vega Polo,

Guilherme de Sousa

et al.

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Cited by 2 publications

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Wavelength selection enables robust quantification of oil content with near-infrared spectroscopy in pea protein gels produced under varying heating conditions

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High-throughput seed quality analysis in faba bean: leveraging Near-InfraRed spectroscopy (NIRS) data and statistical methods

Cited by 2 publications

References 29 publications

Wavelength selection enables robust quantification of oil content with near-infrared spectroscopy in pea protein gels produced under varying heating conditions

Wavelength selection enables robust quantification of oil content with near-infrared spectroscopy in pea protein gels produced under varying heating conditions

Ultrasound assisted bean soaking analysis by NIR spectroscopy

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