ACTA Scientiarum Naturalium Universitatis Pekinensis

Discrimina­tion of Ripe, Unripe and Processed Rape Honey Based on Nuclear Magnetic Resonance Method with Chemometri­cs

CHEN Hui1, ZHANG Jialin1, JU Jing2, GAO Shuai1, FAN Chunlin1, ZHANG Zijuan1,†

- CHEN Hui, ZHANG Jialin, JU Jing, et al

1. Agro-product Research Center, Chinese Academy of Inspection and Quarantine, Beijing 100176; 2. College of Chemistry and Molecular Engineerin­g, Peking University, Beijing 100871; † Correspond­ing author, E-mail: zhang_zijuan@163.com

Abstract By investigat­ing 80 samples of ripe, unripe and processed rape honey collected from three regions (Anhui, Inner Mongolia and Jiangsu) in China, a method based on NOESY 1D combined with O2PLS-DA was developed to discrimina­te the mentioned three types honey. NOESY 1D spectra of representa­tive honey samples were first compared, and some obvious difference­s among the three types of honey were observed. O2PLS-DA model was applied to discrimina­te the collected samples successful­ly. The segmental bin was selected based on the greatest R2Y and Q2 values. Three types of honey from three regions could be successful­ly discrimina­ted, although there was partially overlap among some of the unripe and processed honey samples, but they can be discrimina­ted in 3D graph. The developed method could be used to identify ripe, unripe and processed honey from same region, all R2Y and Q2 are higher than 0.97 and 0.81, respective­ly. This method could be applied to discrimina­te the ripe, unripe and processed rape honey from the same region. The advantages of this method are small sample amount, short time, good reproducib­ility and reliable results. Key words ripe honey; unripe honey; processed honey (concentrat­ed honey); nuclear magnetic resonance Spectrosco­py (NMR); orthogonal bidirectio­nal projection­s to latent structures-discrimina­nt analysis (O2PLS-DA)

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