Evidence map›Paper›PMID 41893988›Full record

ArticleFood science of animal resources2026

Quantitative analysis, validation, and application of an LC-MS/MS method for four artificial sweeteners in dairy-based foods and beverages.

Ku-Won Kim, Dahui Kim, Jieun Kang, Choong-In Yun, Young-Jun Kim

Abstract read
In one paragraph

Article in Food science of animal resources, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ku-Won KimDepartment of Food Science and Biotechnology, Seoul National University of Science and Technology, 01811, Seoul, Korea.ORCID http://orcid.org/0009-0001-0370-2855
Dahui KimDepartment of Food Science and Biotechnology, Seoul National University of Science and Technology, 01811, Seoul, Korea.ORCID http://orcid.org/0009-0008-5681-0025
Jieun KangDepartment of Food Science and Biotechnology, Seoul National University of Science and Technology, 01811, Seoul, Korea.ORCID http://orcid.org/0009-0004-1476-0825
Choong-In YunDepartment of Food Science and Biotechnology, Seoul National University of Science and Technology, 01811, Seoul, Korea. innny@skku.edu.
Young-Jun KimDepartment of Food Science and Biotechnology, Seoul National University of Science and Technology, 01811, Seoul, Korea. kimyj@seoultech.ac.kr.ORCID http://orcid.org/0000-0001-7232-6008

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to validate a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method and optimize a sample preparation procedure for the analysis of four artificial sweeteners—acesulfame potassium, sodium saccharin, sucralose, and aspartame—in dairy matrices. The method demonstrated high specificity and excellent linearity (r2 ≥ 0.999). The LOD values ranged from 0.002 to 0.103 mg/L, and the LOQ values ranged from 0.007 to 0.312 mg/L. The method’s accuracy was 84.40%–103.97%, and the precision was within a relative standard deviation (RSD) of 6.67%. All these results met both the AOAC and ICH guidelines. Minimal matrix effects (within ± 10%) ensured reliable quantification, while optimal recovery was achieved by using 0.6 mL each of potassium ferrocyanide trihydrate and zinc sulfate heptahydrate for deproteinization. Inter-laboratory validation showed recovery rates of 90.89%–102.74% with ≤ 7.78% RSD, supporting the robustness of the method. The validated method was applied to 40 dairy product samples, including fermented milk, processed milk, thick fermented milk, and lactic acid bacteria beverages. The detected concentrations of acesulfame potassium and sucralose complied with the Korean Food Code limits, respectively. Sodium saccharin was not detected in any samples, consistent with its prohibition. Aspartame was detected only in fermented milk, with concentrations of 65.08–269.42 mg/kg. The validated method reliably assessed compliance with national standards for artificial sweeteners and demonstrated suitability for monitoring artificial sweeteners in dairy products.

Indexed as

Artificial sweetenersDairy foodLiquid chromatography with tandem mass spectrometryOptimizationValidation

Identifiers

PMID41893988
PMCPMC13031680

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.