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Determination of total protein content by digital image analysis: an approach for food quality remote analysis

Acceso Abierto
ID Minciencias: ART-0001499939-31
Ranking: ART-GC_ART

Abstract:

The objective of this work was to evaluate the potential of digital image analysis based on color (DIAC), using surface color index defined for RGB space, for the determination of total protein content (TPC) by Biuret method.Approximation of surface color index was used to describe quantitatively the color intensity in the digital image of samples and standards.It was concluded that DIAC is a fast and simple analytical alternative for the determination of TPC.Detection and quantification limits were 0.02 mg/mL and 0.08 mg/mL, respectively.In addition, measurements of absorbance can be satisfactorily correlated with measurements of surface color intensity (R 2 = 0.9957).In addition, the importance of control of internal brightness in the measuring device was evidenced from distribution of values of color intensity into the images.It was concluded that DIAC is a RGB model Color intensityDigital image Total protein content

Tópico:

Spectroscopy and Chemometric Analyses

Citaciones:

Citations: 3
3

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Paperbuzz Score: 0
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Información de la Fuente:

FuenteJournal of Science with Technological Applications
Cuartil año de publicaciónNo disponible
Volumen6
IssueNo disponible
Páginas53 - 64
pISSNNo disponible
ISSN0719-8647

Enlaces e Identificadores:

Minciencias IDART-0001499939-31Scienti ID0001499939-31Scienti ID0001551295-40
Doi URLhttps://doi.org/10.34294/j.jsta.19.6.41Openalex URLhttps://openalex.org/W2995096624Scienti URLhttps://www.jsta.cl/resource?doi=j.jsta.19.6.41
Open_access URLhttps://doi.org/10.34294/j.jsta.19.6.41
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