Food Safety

Quantifying Adulteration of Manuka Honey Using 2D-COS and Deep Learning

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Quantifying Adulteration of Manuka Honey Using 2D-COS and Deep Learning

Click Blue Words · Follow Us Professor Wu Xijun and others from the School of Electrical Engineering at Yanshan University utilized two-dimensional correlation spectroscopy (2D-COS) based on Raman spectroscopy combined with various deep learning techniques to propose a fast, non-invasive, and low-cost spectral strategy for quantifying honey adulteration, achieving quantitative analysis of cheap multifloral honey … Read more

Using Mass Spectrometry and Isotopes to Detect Honey Fraud

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Using Mass Spectrometry and Isotopes to Detect Honey Fraud

The original text was published in the Science and Technology Grand View Garden “High-Quality Bee Product R&D Technology Alliance – Creating Taiwan’s Top Honey Supply Chain” “Not Pure, Cut Off!” – Are You Eating Honey or Syrup? In recent years, food safety incidents have been frequent. Have you ever suspected that the warm and rich … Read more

FTIR-ATR Spectroscopy and PLS Model for Honey Authentication

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FTIR-ATR Spectroscopy and PLS Model for Honey Authentication

1. Highlights 1. Analysis of physicochemical properties of pure and adulterated honey. 2. Determination of sugar content in pure and adulterated honey using high-performance liquid chromatography. 3. Identification of pure and adulterated honey based on FTIR-ATR and PLS regression. 2. Abstract The combination of Fourier transform infrared spectroscopy (FTIR) and attenuated total reflectance (ATR) techniques … Read more