Maple Syrup Adulteration: Fluorescence Fingerprints as a Source of Information for Enhanced Detection

Maple syrup is often adulterated with other syrups due to high demand and price. DNA barcoding is ineffective in detecting maple syrup adulteration due to DNA degradation. Fluorescence fingerprints or EEMs allow scouting for discriminatory markers in maple syrup. Machine learning algorithms (ANN and CNN) applied to EEM data can aid detection.

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Publication Details

Journal
Journal of AOAC International
Published
2025-03-26
DOI
https://doi.org/10.1093/jaoacint/qsaf029
Citations
4
Primary Topic
Analytical Chemistry and Chromatography
Type
article
Field-Weighted Citation Impact
3.03
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article

Maple Syrup Adulteration: Fluorescence Fingerprints as a Source of Information for Enhanced Detection

Jianxin Xue, Sachin Kumar Singh, Maria Grazia Corradini, Mauricio Espinal‐Ruiz et al.
4 citations
Journal of AOAC International
Analytical Chemistry and Chromatography
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article

Maple Syrup Adulteration: Fluorescence Fingerprints as a Source of Information for Enhanced Detection

Jianxin Xue, Sachin Kumar Singh, Maria Grazia Corradini, Mauricio Espinal‐Ruiz, Robert Hanner, Suramya I. Rathnayake, Jiao Shi, Xiaoli Liu, Mei Zhang
article en
4 citations

Abstract

Maple syrup is often adulterated with other syrups due to high demand and price. DNA barcoding is ineffective in detecting maple syrup adulteration due to DNA degradation. Fluorescence fingerprints or EEMs allow scouting for discriminatory markers in maple syrup. Machine learning algorithms (ANN and CNN) applied to EEM data can aid detection.

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Maple Syrup Adulteration: Fluorescence Fingerprints as a Source of Information for Enhanced Detection — Jianxin Xue, Sachin Kumar Singh, et al. · Journal of AOAC International (2025) | TGRS Research Map | TGRS