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Article
2026
Spectral similarity score (SSS)-barcoding for the quality control of LACTEM emulsifiers by high-performance thin-layer chromatography
Spectral similarity score (SSS)-barcoding for the quality control of LACTEM emulsifiers by high-performance thin-layer chromatography
Abstract
LACTEM emulsifiers are widely applied in the food industry to adjust and improve techno-functional properties of food products. The study introduces a high-performance thin-layer chromatography−fluorescence detection (HPTLC−FLD) fingerprint method for the similarity assessment of these emulsifiers using a straightforward barcoding approach based on the concept of spectral similarity scores (SSS), referred to as SSS-barcoding. Analysis of 21 LACTEM emulsifiers showed similarities between two emulsifiers as low as 67%, despite the same product labeling. The method also revealed batch-to-batch variability. Limitations were identified when applying the method to fatty matrices. Finally, partial least-squares regression (PLSR) was applied as a proof-of-concept to predict the techno-functional properties of aerosol whipping cream, such as drainage, apparent viscosity, foam firmness, particle size (D90,3), and overrun, from the densitometric data.
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Journal of agricultural and food chemistry, 74 (2026), 9, 7789-7799.
https://doi.org/10.1021/acs.jafc.5c11928.
ISSN: 1520-5118
ISSN: 0021-8561
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Schuster, K., Torun, S., Kainz, I., Schwarz-Blankart, M., Hinrichs, J., Steliopoulos, P., & Oellig, C. (2026). Spectral similarity score (SSS)-barcoding for the quality control of LACTEM emulsifiers by high-performance thin-layer chromatography. Journal of agricultural and food chemistry, 74(9). https://doi.org/10.1021/acs.jafc.5c11928
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660 Chemical engineerin
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@article{Schuster2026,
doi = {10.1021/acs.jafc.5c11928},
author = {Schuster, Katharina and Torun, Sedef and Kainz, Inès et al.},
journal = {Journal of agricultural and food chemistry},
title = {Spectral similarity score (SSS)-barcoding for the quality control of LACTEM emulsifiers by high-performance thin-layer chromatography},
year = {2026},
volume = {74},
number = {9},
pages = {7789--7799},
}
