| 光谱学与光谱分析 |
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| A Feasibility Study on the Discrimination of the Propolis Varieties Based on Near Infrared Spectroscopy |
| YANG Juan1, 2, CHEN Lan-zhen1, 2*, XUE Xiao-feng1, 2, WU Li-ming1, 2, LI Yi1, 2, ZHAO Jing3, WU Zhao-bin1, 2, ZHANG Yan-nan2 |
1. Institute of Apicultural Research，Chinese Academy of Agricultural Sciences, Beijing 100093, China
2. Risk Assessment Laboratory for Bee Products Quality and Safety of Ministry of Agriculture (Beijing), Beijing 100093, China
3. Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences (Beijing), Beijing 100081, China
4. Apicultural Branch Center, Research and Development Center of National Agro-Food Processing Technology, Beijing 102202, China |
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Abstract Botanical origins of propolis are significant factors affecting biological and pharmacological activities because of different components in propolis. Until now, the determination of propolis botanical origins is mainly based on different varieties and the content of the compositions with great limitations. Therefore, it is important to discriminate different botanical origins of propolis quickly and accurately. In this study, Near-infrared (NIR) spectra of propolis varieties based on principal component analysis mahalanobis distance (PCA-mahalanobis distance) model and canonical discriminant analysis model were built for the classification of three botanical origins (poplar propolis，brich propolis and rubber propolis). The models were built based on the optimal pretreatment method and bands of first derivative + Savitzky-Golay (7) filter and 4500~12 000-1, which were selected in advance. After the principal component analysis, the correct classification rates of calibration sets and validation sets in analysis mahalanobis distance models were 93.62% and 82.61%, respectively. The discrimination rate and the cross-validation rate of canonical discrimination models were 91.4% and 88.6%, respectively. Therefore, NIR spectroscopy with chemometric methods is not only feasible but also practical for rapid and accurate identification of varieties of propolis.
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Received: 2015-01-26
Accepted: 2015-05-06
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Corresponding Authors:
CHEN Lan-zhen
E-mail: chenlanzhen2005@126.com
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