Rapid detection and quantification of adulteration in saffron by excitation-emission matrix fluorescence combined with multi-way chemometrics.

Yue ChenHai-Long WuTong WangJuan-Ni WuBing-Bing LiuYu-Jie DingRu-Qin Yu

Published in: Journal of the science of food and agriculture (2023)

ATLD-DD-SIMCA and 2DPCA-kNN are recommended methods for the classification of pure saffron and adulterated saffron. N-PLS algorithm shows potential in prediction of adulteration levels. These methods are expected to solve more complex problems in food authenticity. This article is protected by copyright. All rights reserved.

Keyphrases

loop mediated isothermal amplification
machine learning
deep learning
energy transfer
mental health
human health
single molecule
sensitive detection
gas chromatography mass spectrometry
neural network
quantum dots