Honey quality detection based on near-infrared spectroscopy

Abstract

As a natural agricultural product, honey is favored by consumers, and its variety and adulteration have a huge impact on the quality. Acacia honey, red jujube honey and rape honey were used as experimental objects, and their spectral reflectance curves were obtained through a near-infrared spectral image acquisition system. Spectral features were extracted from the preprocessed spectral reflectance curves, and a honey variety classification model based on near-infrared spectral features was established by machine learning. After statistical analysis, Principal Component Analysis Support Vector Machine after processing data through Successive Projections Algorithm (SPA-SVM) is the optimal classification model for three varieties of acacia honey, red jujube honey and rape honey, and the correct rate of honey variety classification reaches 95.83%. The spectral reflectance curve was used to establish a honey adulteration identification model based on the partial least squares-discriiminate analysis (PLS-DA), and the classification accuracy was 97.92% in the test set.

A study on influences of an induced electric field on the Enzymolysis of water caltrop starch by Pullulanase

“…Notably, the peaks observed in the 800-1200 cm À1 range provide insights into the chain configuration of starch and its crystalline region. Furthermore, the absorption ratios of 1047 cm À1 /1022 cm À1 and 1022 cm À1 /995 cm À1 serve as indicators of the ordered crystalline and amorphous regions of starch, respectively (Zou et al, 2018;Li et al, 2022aLi et al, , 2022b.…”

Identification of Ziziphi Spinosae Semen from its Adulterants Based on RAPD

“…components. However, near-infrared spectroscopy technology can be used to study the qualitative and quantitative detection of ZSS and its three counterfeits, namely, Ziziphus mauritiana Lam., HDT, and Lens culinaris (Zhao et al, 2022). The multiplex allele-specific polymerase chain reaction (PCR) can accurately identify ZSS, Hovenia acerba semen, and ZMS simultaneously (Li et al, 2023).…”

“…There was no significant difference in the infrared spectra of ZSS and ZMS because they contained similar chemical components. However, near-infrared spectroscopy technology can be used to study the qualitative and quantitative detection of ZSS and its three counterfeits, namely, Ziziphus mauritiana Lam., HDT, and Lens culinaris (Zhao et al, 2022).…”

Non-destructive determination of the oil content in peach palm (Bactris gasipaes) flour using NMR and NIR spectroscopies

“…NIR spectroscopy is a powerful non-destructive tool for quantitative and qualitative analyses and has been widely used in food science (Bizzani et al, 2017;Malegori et al, 2017;Oliveira et al, 2014;Silva et al, 2021;Zhou et al, 2023), chemistry (Fernandes et al, 2008), medicine (Trenfield et al, 2022), and industrial quality control processes (Blanco et al, 2007). TD-NMR has also been widely applied in food science (Bizzani et al, 2020;Machado et al, 2022;Qu et al, 2021;Wang et al, 2018) and several methods have been recognized by various international agencies, like the International Organization for Standardization (ISO) and International Union of Pure and Applied Chemistry (IUPAC) (Todt et al, 2006).…”