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1.
Food Chem ; 381: 132221, 2022 Jul 01.
Article in English | MEDLINE | ID: mdl-35121324

ABSTRACT

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.


Subject(s)
Milk , Urea , Animals , Colorimetry/methods , Hot Temperature , Milk/chemistry , Urea/analysis
2.
Food Chem ; 318: 126473, 2020 Jul 15.
Article in English | MEDLINE | ID: mdl-32143131

ABSTRACT

In this work is presented the development of a method for As and Se determination in crude palm oil samples by hydride generation atomic fluorescence spectrometry and Hg by cold vapor atomic fluorescence spectrometry after ultrasound-assisted emulsification and extraction induced by emulsion breaking (EIEB). The optimization of the method was carried out by multivariate designs. The developed method has presented limits of quantification (LOQ) of 0.72, 0.12, and 1.5 µg L-1 for As, Hg, and Se, respectively. The precisions of the proposed method expressed as repeatability were 0.92, 2.2, and 3.7% RSD for 2 µg L-1 (n = 10) of As, Hg and Se, respectively. The developed methodology was applied in palm oil samples collected in the Bahia State. Concentrations (µg L-1) found in the samples were between

Subject(s)
Arsenic/analysis , Emulsions/chemistry , Food Analysis/methods , Mercury/analysis , Palm Oil/analysis , Selenium/analysis , Chemical Fractionation/methods , Food Analysis/statistics & numerical data , Food Contamination , Gases/chemistry , Limit of Detection , Multivariate Analysis , Palm Oil/chemistry , Spectrometry, Fluorescence/methods , Spectrophotometry, Atomic/methods
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