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Refinado por: Nome da Publicação: Journal Of Food Engineering remover assunto: Technology remover
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Application of Vis/NIR spectroscopy for predicting sweetness and flavour parameters of ‘Valencia’ orange (Citrus sinensis) and ‘Star Ruby’ grapefruit (Citrus x paradisi Macfad)
Application of Vis/NIR spectroscopy for predicting sweetness and flavour parameters of ‘Valencia’ orange (Citrus sinensis) and ‘Star Ruby’ grapefruit (Citrus x paradisi Macfad)
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Application of Vis/NIR spectroscopy for predicting sweetness and flavour parameters of ‘Valencia’ orange (Citrus sinensis) and ‘Star Ruby’ grapefruit (Citrus x paradisi Macfad)

Ncama, Khayelihle ; Opara, Umezuruike Linus ; Tesfay, Samson Zeray ; Fawole, Olaniyi Amos ; Magwaza, Lembe Samukelo

Journal of food engineering, 2017-01, Vol.193, p.86-94 [Periódico revisado por pares]

Elsevier Ltd

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2
Monitoring the withering condition of leaves during black tea processing via the fusion of electronic eye (E-eye), colorimetric sensing array (CSA), and micro-near-infrared spectroscopy (NIRS)
Monitoring the withering condition of leaves during black tea processing via the fusion of electronic eye (E-eye), colorimetric sensing array (CSA), and micro-near-infrared spectroscopy (NIRS)
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Monitoring the withering condition of leaves during black tea processing via the fusion of electronic eye (E-eye), colorimetric sensing array (CSA), and micro-near-infrared spectroscopy (NIRS)

Wang, Yujie ; Liu, Ying ; Cui, Qingqing ; Li, Luqing ; Ning, Jingming ; Zhang, Zhengzhu

Journal of food engineering, 2021-07, Vol.300, p.110534, Article 110534 [Periódico revisado por pares]

Elsevier Ltd

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3
Authenticity of freeze-dried açai pulp by near-infrared spectroscopy
Authenticity of freeze-dried açai pulp by near-infrared spectroscopy
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Authenticity of freeze-dried açai pulp by near-infrared spectroscopy

Lobato, Kleidson Brito de Sousa ; Alamar, Priscila Domingues ; Caramês, Elem Tamirys dos Santos ; Pallone, Juliana Azevedo Lima

Journal of food engineering, 2018-05, Vol.224, p.105-111 [Periódico revisado por pares]

Elsevier Ltd

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4
A comparative study for the quantitative determination of soluble solids content, pH and firmness of pears by Vis/NIR spectroscopy
A comparative study for the quantitative determination of soluble solids content, pH and firmness of pears by Vis/NIR spectroscopy
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A comparative study for the quantitative determination of soluble solids content, pH and firmness of pears by Vis/NIR spectroscopy

Li, Jiangbo ; Huang, Wenqian ; Zhao, Chunjiang ; Zhang, Baohua

Journal of food engineering, 2013-05, Vol.116 (2), p.324-332 [Periódico revisado por pares]

Elsevier Ltd

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5
Comparison of three rapid non-destructive techniques coupled with a classifier to increase transparency in the seafood value chain: Bioelectrical impedance analysis (BIA), near-infrared spectroscopy (NIR) and time domain reflectometry (TDR)
Comparison of three rapid non-destructive techniques coupled with a classifier to increase transparency in the seafood value chain: Bioelectrical impedance analysis (BIA), near-infrared spectroscopy (NIR) and time domain reflectometry (TDR)
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Comparison of three rapid non-destructive techniques coupled with a classifier to increase transparency in the seafood value chain: Bioelectrical impedance analysis (BIA), near-infrared spectroscopy (NIR) and time domain reflectometry (TDR)

Melado-Herreros, Ángela ; Nieto-Ortega, Sonia ; Olabarrieta, Idoia ; Ramilo-Fernández, Graciela ; Sotelo, Carmen G. ; Teixeira, Bárbara ; Velasco, Amaya ; Mendes, Rogério

Journal of food engineering, 2022-06, Vol.322, p.110979, Article 110979 [Periódico revisado por pares]

Elsevier Ltd

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6
Improved generalization of spectral models associated with Vis-NIR spectroscopy for determining the moisture content of different tea leaves
Improved generalization of spectral models associated with Vis-NIR spectroscopy for determining the moisture content of different tea leaves
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Improved generalization of spectral models associated with Vis-NIR spectroscopy for determining the moisture content of different tea leaves

Huang, Zhenxiong ; Sanaeifar, Alireza ; Tian, Ya ; Liu, Lang ; Zhang, Dongyi ; Wang, Hui ; Ye, Dapeng ; Li, Xiaoli

Journal of food engineering, 2021-03, Vol.293 (C), p.110374, Article 110374 [Periódico revisado por pares]

United Kingdom: Elsevier Ltd

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7
Quantitative prediction of post storage ‘Hayward’ kiwifruit attributes using at harvest Vis-NIR spectroscopy
Quantitative prediction of post storage ‘Hayward’ kiwifruit attributes using at harvest Vis-NIR spectroscopy
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Quantitative prediction of post storage ‘Hayward’ kiwifruit attributes using at harvest Vis-NIR spectroscopy

Li, Mo ; Pullanagari, Reddy R. ; Pranamornkith, Thamarath ; Yule, Ian J. ; East, Andrew R.

Journal of food engineering, 2017-06, Vol.202, p.46-55 [Periódico revisado por pares]

Elsevier Ltd

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8
A comparison of variate pre-selection methods for use in partial least squares regression: A case study on NIR spectroscopy applied to monitoring beer fermentation
A comparison of variate pre-selection methods for use in partial least squares regression: A case study on NIR spectroscopy applied to monitoring beer fermentation
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A comparison of variate pre-selection methods for use in partial least squares regression: A case study on NIR spectroscopy applied to monitoring beer fermentation

McLeod, Georgina ; Clelland, Kirsty ; Tapp, Henri ; Kemsley, E. Katherine ; Wilson, Reginald H. ; Poulter, Graham ; Coombs, David ; Hewitt, Christopher J.

Journal of food engineering, 2009, Vol.90 (2), p.300-307 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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9
Determination of internal qualities of Newhall navel oranges based on NIR spectroscopy using machine learning
Determination of internal qualities of Newhall navel oranges based on NIR spectroscopy using machine learning
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Determination of internal qualities of Newhall navel oranges based on NIR spectroscopy using machine learning

Liu, Cong ; Yang, Simon X. ; Deng, Lie

Journal of food engineering, 2015-09, Vol.161, p.16-23 [Periódico revisado por pares]

Elsevier Ltd

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10
Non-destructive detection of flawed hazelnut kernels and lipid oxidation assessment using NIR spectroscopy
Non-destructive detection of flawed hazelnut kernels and lipid oxidation assessment using NIR spectroscopy
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Non-destructive detection of flawed hazelnut kernels and lipid oxidation assessment using NIR spectroscopy

Pannico, A. ; Schouten, R.E. ; Basile, B. ; Romano, R. ; Woltering, E.J. ; Cirillo, C.

Journal of food engineering, 2015-09, Vol.160, p.42-48 [Periódico revisado por pares]

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