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Sequential Determination of Cd, Co, Cu, Fe, Mg, Mn, Ni, Pb, and Zn in Powdered Refreshments by FS-F AAS After a Simple Sample Treatment
- Source :
- Food Analytical Methods. 13:212-221
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- In this work, a procedure is proposed for the direct analysis of powdered refreshments by fast sequential flame atomic absorption spectrometry (FS-F AAS), after a simple treatment of the sample. A full 23 factorial design was applied, and the variables chosen were as follows: acid concentration, acid type, and sonication time. Optimization provided the best conditions considering a mass of powdered refreshment of about 0.18 g diluted to a final volume of 15 mL with 0.5 mol L−1 HCl. The matrix effect was investigated, and external calibration was feasible for the determination of Cd, Co, Cu, Fe, Mg, Mn, Ni, Pb, and Zn. The limit of quantification (LoQ) obtained was between 0.6 (Cd) and 25 mg kg−1 (Pb). The analyte addition and recovery test were applied to evaluate the accuracy, and recovery percentage values ranging from 83.9 to 109.7% were obtained, which is considered adequate for quantitative analysis. Precision was expressed as relative standard deviation (% RSD); it was less than or equal to 5.0% (n = 7) for all analytes. The procedure was applied to 21 samples of powdered refreshment commercialized in Salvador (Brazil) and Buenos Aires (Argentina). The concentration range and average of the analytes in the samples (in mg kg−1) commercialized in Brazil (BZ) and Argentina (AG) were as follows: Co (BZ
- Subjects :
- Detection limit
Analyte
Acid concentration
Chemistry
010401 analytical chemistry
Relative standard deviation
04 agricultural and veterinary sciences
Factorial experiment
040401 food science
01 natural sciences
Applied Microbiology and Biotechnology
0104 chemical sciences
Analytical Chemistry
0404 agricultural biotechnology
Simple sample
Safety, Risk, Reliability and Quality
Safety Research
Chemical composition
Quantitative analysis (chemistry)
Food Science
Nuclear chemistry
Subjects
Details
- ISSN :
- 1936976X and 19369751
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- Food Analytical Methods
- Accession number :
- edsair.doi...........37fb7ead0e3784ae29b06f81be7e276a
- Full Text :
- https://doi.org/10.1007/s12161-019-01589-2