Investigation of the application of digital colour imaging to assess the mixture quality of binary food powder mixes

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Standard

Investigation of the application of digital colour imaging to assess the mixture quality of binary food powder mixes. / Shenoy, Pooja; Innings, Fredrik; Lilliebjelke, Torbjörn; Jonsson, Caroline; Fitzpatrick, John; Ahrné, Lilia.

I: Journal of Food Engineering, Bind 128, 2014, s. 140-145.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Shenoy, P, Innings, F, Lilliebjelke, T, Jonsson, C, Fitzpatrick, J & Ahrné, L 2014, 'Investigation of the application of digital colour imaging to assess the mixture quality of binary food powder mixes', Journal of Food Engineering, bind 128, s. 140-145. https://doi.org/10.1016/j.jfoodeng.2013.12.013

APA

Shenoy, P., Innings, F., Lilliebjelke, T., Jonsson, C., Fitzpatrick, J., & Ahrné, L. (2014). Investigation of the application of digital colour imaging to assess the mixture quality of binary food powder mixes. Journal of Food Engineering, 128, 140-145. https://doi.org/10.1016/j.jfoodeng.2013.12.013

Vancouver

Shenoy P, Innings F, Lilliebjelke T, Jonsson C, Fitzpatrick J, Ahrné L. Investigation of the application of digital colour imaging to assess the mixture quality of binary food powder mixes. Journal of Food Engineering. 2014;128:140-145. https://doi.org/10.1016/j.jfoodeng.2013.12.013

Author

Shenoy, Pooja ; Innings, Fredrik ; Lilliebjelke, Torbjörn ; Jonsson, Caroline ; Fitzpatrick, John ; Ahrné, Lilia. / Investigation of the application of digital colour imaging to assess the mixture quality of binary food powder mixes. I: Journal of Food Engineering. 2014 ; Bind 128. s. 140-145.

Bibtex

@article{1e88260d6798440689deed6511a5b712,
title = "Investigation of the application of digital colour imaging to assess the mixture quality of binary food powder mixes",
abstract = "Digital colour imaging (DCI) was applied in this study as a novel approach for assessing the mixture quality of binary food powder mixes. Three different binary powder mixes with different coloured ingredients [salt, paprika, black pepper and onion] were investigated using a commercially available system called DigiEye. The coordinates of CIELAB colour space were used to describe the colour of the samples. The sample colour variance was used as a measure of mixture quality. The results showed that DCI has potential for assessing the mixture quality of binary food powder mixes, provided that colour difference between the powders can be measured. The ability to assess mixture quality decreases as the colour difference between the components in the mix decreases. Furthermore, scale of scrutiny and composition also influence the capability of the method.",
keywords = "Colour imaging, Food powders, Mixing, Mixture quality",
author = "Pooja Shenoy and Fredrik Innings and Torbj{\"o}rn Lilliebjelke and Caroline Jonsson and John Fitzpatrick and Lilia Ahrn{\'e}",
year = "2014",
doi = "10.1016/j.jfoodeng.2013.12.013",
language = "English",
volume = "128",
pages = "140--145",
journal = "Journal of Food Engineering",
issn = "0260-8774",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Investigation of the application of digital colour imaging to assess the mixture quality of binary food powder mixes

AU - Shenoy, Pooja

AU - Innings, Fredrik

AU - Lilliebjelke, Torbjörn

AU - Jonsson, Caroline

AU - Fitzpatrick, John

AU - Ahrné, Lilia

PY - 2014

Y1 - 2014

N2 - Digital colour imaging (DCI) was applied in this study as a novel approach for assessing the mixture quality of binary food powder mixes. Three different binary powder mixes with different coloured ingredients [salt, paprika, black pepper and onion] were investigated using a commercially available system called DigiEye. The coordinates of CIELAB colour space were used to describe the colour of the samples. The sample colour variance was used as a measure of mixture quality. The results showed that DCI has potential for assessing the mixture quality of binary food powder mixes, provided that colour difference between the powders can be measured. The ability to assess mixture quality decreases as the colour difference between the components in the mix decreases. Furthermore, scale of scrutiny and composition also influence the capability of the method.

AB - Digital colour imaging (DCI) was applied in this study as a novel approach for assessing the mixture quality of binary food powder mixes. Three different binary powder mixes with different coloured ingredients [salt, paprika, black pepper and onion] were investigated using a commercially available system called DigiEye. The coordinates of CIELAB colour space were used to describe the colour of the samples. The sample colour variance was used as a measure of mixture quality. The results showed that DCI has potential for assessing the mixture quality of binary food powder mixes, provided that colour difference between the powders can be measured. The ability to assess mixture quality decreases as the colour difference between the components in the mix decreases. Furthermore, scale of scrutiny and composition also influence the capability of the method.

KW - Colour imaging

KW - Food powders

KW - Mixing

KW - Mixture quality

U2 - 10.1016/j.jfoodeng.2013.12.013

DO - 10.1016/j.jfoodeng.2013.12.013

M3 - Journal article

AN - SCOPUS:84892748691

VL - 128

SP - 140

EP - 145

JO - Journal of Food Engineering

JF - Journal of Food Engineering

SN - 0260-8774

ER -

ID: 202131801