Determination of advantame in sauce products by ultrasonic extraction-high performance liquid chromatography and its uncertainty analysis

The ultrasonic extraction-high performance liquid chromatography (HPLC) method for the detection of advantame in sauce products was established by optimizing instrument detection conditions. A mathematical model was established to analyze the uncertainties introduced by the standard solution, standard curve fitting, sample pretreatment, HPLC, and measurement repeatability. The results showed that after ultrasonic extraction, the sauce products sample was centrifuged, and separated on a C<sub>18</sub> column (150 mm&#x00D7;4.6 mm, 5 μm) (column temperature 30 ℃) with acetonitrile-water as mobile phase for gradient elution. The excitation wavelength was 232 nm and the emission wavelength was 313 nm. Under these detection conditions, the retention time of advantame was 7.069 min, the linear regression equation was y =1.64e+ 005x+2.74e+002 with good linear relationship in the concentration range of 0.05-5 μg/ml, the correlation coefficient (R<sup>2</sup>) was 0.999 8, the limit of detection was 0.25 mg/kg, the limit of quantitation was 0.625 mg/kg, the recovery rate was 91.2%-98.5%, and the relative standard deviation (RSD) of the precision test results was 1.09%-2.48%. The method had the advantages of simple extraction, less pollution, short time, high sensitivity, accurate and stable results, which could be applied to the determination of advantame in sauce products. The main source of uncertainty in the method was the standard curve fitting (0.029 8), which was a key control point in the detection process.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-12-01
DOI
https://doi.org/10.11882/j.issn.0254-5071.2024.12.031
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
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article

Determination of advantame in sauce products by ultrasonic extraction-high performance liquid chromatography and its uncertainty analysis

SHILAP Revista de lepidopterología
Mycorrhizal Fungi and Plant Interactions
article

Determination of advantame in sauce products by ultrasonic extraction-high performance liquid chromatography and its uncertainty analysis

article en

Abstract

The ultrasonic extraction-high performance liquid chromatography (HPLC) method for the detection of advantame in sauce products was established by optimizing instrument detection conditions. A mathematical model was established to analyze the uncertainties introduced by the standard solution, standard curve fitting, sample pretreatment, HPLC, and measurement repeatability. The results showed that after ultrasonic extraction, the sauce products sample was centrifuged, and separated on a C<sub>18</sub> column (150 mm&#x00D7;4.6 mm, 5 μm) (column temperature 30 ℃) with acetonitrile-water as mobile phase for gradient elution. The excitation wavelength was 232 nm and the emission wavelength was 313 nm. Under these detection conditions, the retention time of advantame was 7.069 min, the linear regression equation was y =1.64e+ 005x+2.74e+002 with good linear relationship in the concentration range of 0.05-5 μg/ml, the correlation coefficient (R<sup>2</sup>) was 0.999 8, the limit of detection was 0.25 mg/kg, the limit of quantitation was 0.625 mg/kg, the recovery rate was 91.2%-98.5%, and the relative standard deviation (RSD) of the precision test results was 1.09%-2.48%. The method had the advantages of simple extraction, less pollution, short time, high sensitivity, accurate and stable results, which could be applied to the determination of advantame in sauce products. The main source of uncertainty in the method was the standard curve fitting (0.029 8), which was a key control point in the detection process.

SHILAP Revista de lepidopterología
Luohe Medical College (CN)
Clean water and sanitation
Openalex Percentile: Top 56%
Mycorrhizal Fungi and Plant Interactions
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Determination of advantame in sauce products by ultrasonic extraction-high performance liquid chromatography and its uncertainty analysis · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS