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A digital image-based colorimetric method for measuring free acidity in edible vegetable oils.
Carolina Souza Andrada Anconi, Amanda; de Jesus Fonseca, Júlia Letícia; Antônio Nunes, Cleiton.
Affiliation
  • Carolina Souza Andrada Anconi A; Department of Chemistry, Federal University of Lavras, University Campus, Post Office Box 3037, 37200-900 Lavras, Minas Gerais, Brazil.
  • de Jesus Fonseca JL; Department of Food Science, Federal University of Lavras, University Campus, Post Office Box 3037, 37200-900, Lavras, Minas Gerais, Brazil.
  • Antônio Nunes C; Department of Food Science, Federal University of Lavras, University Campus, Post Office Box 3037, 37200-900, Lavras, Minas Gerais, Brazil. Electronic address: cleiton.nunes@ufla.br.
Food Chem ; 443: 138555, 2024 Jun 15.
Article in En | MEDLINE | ID: mdl-38281417
ABSTRACT
The standard method used to quantify free acidity (FA) in vegetable oil is neutralization titration, which requires many toxic chemicals and depends on an analyst's experience in detecting endpoints. Here, a digital image colorimetry (DIC) method using a smartphone camera was developed to measure FA in vegetable oils. A cupric acetate solution was used to produce the colorimetric reaction. The coloured solutions were imaged, and R values (from the RGB colour system) were calibrated against the respective FAs in the standards. The FA values of the samples were determined by standard addition calibration. These results were compared to measurements of FA obtained by the standard titrimetric method. An excellent correlation was obtained, with an R2 of 0.98 and a mean absolute error of 0.06%. The chemicals needed for analysis were reduced by approximately 90%. Thus, DIC is a less subjective and more economical method for determining FA in vegetable oils.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plant Oils / Colorimetry Language: En Journal: Food Chem Year: 2024 Document type: Article Affiliation country: Brazil Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plant Oils / Colorimetry Language: En Journal: Food Chem Year: 2024 Document type: Article Affiliation country: Brazil Country of publication: United kingdom