Fusion of elemental and molecular fingerprints for accurate classification of kimchi by country of origin

This study combines LIBS and IR spectroscopy to classify kimchi by country of origin, achieving 96.8% accuracy using a fused k -NN model.

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Publication Details

Journal
Journal of Analytical Atomic Spectrometry
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ja00200a
Citations
1
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
0.81
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article

Fusion of elemental and molecular fingerprints for accurate classification of kimchi by country of origin

Sandeep Kumar, Yonghoon Lee, Yujin Oh, Sang‐Ho Nam et al.
1 citations
Journal of Analytical Atomic Spectrometry
Identification and Quantification in Food
0.81
article

Fusion of elemental and molecular fingerprints for accurate classification of kimchi by country of origin

Sandeep Kumar, Yonghoon Lee, Yujin Oh, Sang‐Ho Nam, Kyung‐Sik Ham, Song‐Hee Han, Hyun-Jin Kim, Hyemin Jung
article en
1 citations

Abstract

This study combines LIBS and IR spectroscopy to classify kimchi by country of origin, achieving 96.8% accuracy using a fused k -NN model.

Journal of Analytical Atomic SpectrometryVol. 40(8)
Mokpo National University (KR), Mokpo National Maritime University (KR), Gyeongsang National University (KR)
Openalex Percentile: Top 26%
Identification and Quantification in Food
0.81
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Fusion of elemental and molecular fingerprints for accurate classification of kimchi by country of origin — Sandeep Kumar, Yonghoon Lee, et al. · Journal of Analytical Atomic Spectrometry (2025) | TGRS Research Map | TGRS