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

Pooja Shenoy; Fredrik Innings; Torbjörn Lilliebjelke; Caroline Jonsson; John Fitzpatrick; Lilia Ahrné

doi:10.1016/j.jfoodeng.2013.12.013

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

Pooja Shenoy, Fredrik Innings, Torbjörn Lilliebjelke, Caroline Jonsson, John Fitzpatrick, Lilia Ahrné^*

^*Corresponding author for this work

17 Citations (Scopus)

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.

Original language	English
Journal	Journal of Food Engineering
Volume	128
Pages (from-to)	140-145
Number of pages	6
ISSN	0260-8774
DOIs	https://doi.org/10.1016/j.jfoodeng.2013.12.013
Publication status	Published - 2014
Externally published	Yes

Keywords

Colour imaging
Food powders
Mixing
Mixture quality

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10.1016/j.jfoodeng.2013.12.013

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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",

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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

SN - 0260-8774

VL - 128

SP - 140

EP - 145

JO - Journal of Food Engineering

JF - Journal of Food Engineering

ER -

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

Abstract

Keywords

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