Raman spectroscopy was used to detect adulterants such as high fructose corn syrup
(HFCS) and maltose syrup (MS) in honey. HFCS and MS were each mixed with authentic …

In this study, the Raman spectroscopy was used to detect honey adulterated with fructose
(F), glucose (G), inverted sugar (IS), hydrolyzed inulin syrup (IN), and malt must (M). Thus …

Near-infrared spectroscopy (NIR) was used for qualitative and quantitative detection of
honey adulterated with high-fructose corn syrup (HFCS) or maltose syrup (MS). Competitive …

As a natural product, honey has been prone to adulteration. Adulteration of honey by
substituting with cheap invert sugars is a critical issue in the honey industry. Fourier …

In this study, Raman spectroscopy combined with convolutional neural network (CNN) and
chemometrics was used to achieve the identification and quantification of honey samples …

Near-infrared (NIR) spectroscopy combined with chemometrics methods has been used to
detect adulteration of honey samples. The sample set contained 135 spectra of authentic (n …

A non-destructive and reliable spectroscopic analysis method was proposed for detecting
honey fraud based on Raman spectroscopy and convolutional neural network (CNN) …

Illegal addition of syrup to honey products would refdeduce the natural nutritional value of
honey. It is essential to develop convenient and accurate analytical methods to rapidly …

In this study, the Fourier transform mid‐infrared (FT‐MIR) spectroscopy technique combined
with chemometrics methods was used to monitor adulteration of honey with sugar syrup …

Our aim was to develop a rapid non-targeted approach to authenticate commercial honey
combining Raman spectroscopy and pattern recognition analysis. Honey samples (n= 97) …