A new and accessible instrumentation to determine urea in UHT milk using digital image analysis.

Autor: Honorato Santos Neto J; Universidade Federal da Bahia, Instituto de Química, Grupo de Pesquisa em Química e Quimiometria, Campus Ondina, 40170-115 Salvador, Bahia, Brazil; Instituto Nacional de Ciência e Tecnologia, INCT, de Energia e Ambiente, Universidade Federal da Bahia, 40170-115 Salvador, Bahia, Brazil. Electronic address: joaohonoratto@gmail.com., Dos Santos LO; Universidade Federal da Bahia, Instituto de Química, Grupo de Pesquisa em Química e Quimiometria, Campus Ondina, 40170-115 Salvador, Bahia, Brazil; Universidade Federal do Recôncavo da Bahia, Centro de Ciência e Tecnologia em Energia e Sustentabilidade, 44085-132 Feira de Santana, Bahia, Brazil. Electronic address: liz@ufrb.edu.br., Dos Santos AMP; Universidade Federal da Bahia, Instituto de Química, Grupo de Pesquisa em Química e Quimiometria, Campus Ondina, 40170-115 Salvador, Bahia, Brazil; Instituto Nacional de Ciência e Tecnologia, INCT, de Energia e Ambiente, Universidade Federal da Bahia, 40170-115 Salvador, Bahia, Brazil. Electronic address: amps@ufba.br., Galvão Novaes C; Universidade Estadual do Sudoeste da Bahia, Laboratório de Química Analítica III, 45208-091 Jequié, Bahia, Brazil., Luis Costa Ferreira S; Universidade Federal da Bahia, Instituto de Química, Grupo de Pesquisa em Química e Quimiometria, Campus Ondina, 40170-115 Salvador, Bahia, Brazil; Instituto Nacional de Ciência e Tecnologia, INCT, de Energia e Ambiente, Universidade Federal da Bahia, 40170-115 Salvador, Bahia, Brazil.
Jazyk: angličtina
Zdroj: Food chemistry [Food Chem] 2022 Jul 01; Vol. 381, pp. 132221. Date of Electronic Publication: 2022 Jan 29.
DOI: 10.1016/j.foodchem.2022.132221
Abstrakt: This research demonstrates the development, optimization and application of a new low-cost detection system, based on digital image analysis, for the detection of urea in ultra-high-temperature (UHT) milk samples. The apparatus built in the laboratory, allows the capture of images through a simple system built by polyvinyl chloride (PVC) tubes, a digital microscope and a peristaltic mini-pump, after the colorimetric reaction between urea and diacetylmonoxime (butane-2,3-dionammonoxime). The red, green and blue (RGB) and hue, saturation and value (HSV) color systems were studied, with the saturation channel of the HSV color system selected as the analytical signal. Subsequently, the experimental chemical conditions were evaluated through multivariate experimental designs and the optimal conditions were defined. The proposed method was validated, and the detection and quantification limits presented by the method were 0.35 mg L -1 and 0.52 mg L -1 , respectively; precision, ranged between 1.6  and 2.8 %. The results were compared with those obtained using the mid-infrared technique and no statistically significant differences were observed at a 95 % confidence level. The proposed method was applied to eight UHT milk samples that presented urea content ranging from 187 to 386 mg L -1 . The mean values obtained are in agreement with values presented in other studies for the determination of urea in milk. The results indicated that the system described and validated here is promising and can be applied to assess the authenticity and quality of milk.
(Copyright © 2022 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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