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  • P-ISSN1225-0163
  • E-ISSN2288-8985
  • SCOPUS, ESCI, KCI

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  • P-ISSN 1225-0163
  • E-ISSN 2288-8985

Validation of an Enzymatic Microplate Assay for Ethanol in Foods, Comparison with GC–FID, and Application to Commercial Product Monitoring

Analytical Science and Technology / Analytical Science and Technology, (P)1225-0163; (E)2288-8985
2026, v.39 no.3, pp.211-220
https://doi.org/10.5806/AST.2026.39.3.211
Sun Hye Hwang (Food Analysis Center, Korea Food Research Institute)
yong sun Cho (Food Analysis Center, Korea Food Research Institute)
Jun-Young Lee (Food Analysis Center, Korea Food Research Institute)

Abstract

Ethanol may be present in a wide range of foods due to natural fermentation, carry-over from ingredients, or the use of ethanol-containing preservatives, and even trace levels are important for halal compliance and “no- and low-alcohol (NoLo)” labeling. In this study, a single-laboratory validation of an enzymatic microplate assay was conducted for three Korean food matrices (rice cake, gochujang, and fruit–vegetable beverages) and the performance was compared with that of a GC–FID method based on an AOAC INTERNATIONAL (AOAC). The enzymatic assay showed limits of quantification (LOQs) of 0.030–0.076 mg/mL, which were comparable to or lower than those of GC–FID (0.037–0.109 mg/mL) depending on the matrix. Calibration curves were linear over 0.01–0.25 mg/mL with acceptable linearity (R² ≥ 0.991), and spike recoveries (after correcting for background ethanol) were approximately 95–105% across low, medium, and high levels with practical precision. GC–FID also provided excellent linearity (R² ≥ 0.9998) and generally lower RSDs. In addition, commercial product monitoring data were generated for rice cake (n = 14), gochujang (n = 12), and fruit beverages (n = 18), showing that the enzymatic microplate assay provides comparable quantitative results to GC–FID across diverse matrices, supporting its utility for routine trace-ethanol monitoring.

keywords
ethanol, enzymatic assay, gc–fid, monitoring

Graphical Abstract

AST-2026-002_R1_P_Graphical Abstract_001.jpg

Received
2026-01-06
Revised
2026-02-12
Accepted
2026-03-09
Published
2026-06-01
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Analytical Science and Technology