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| 作物淀粉的三维荧光光谱指纹分析鉴定方法 |
| Three-dimensional fluorescence spectrum fingerprinting analysis method for crop starch |
| 投稿时间：2018-05-31 |
| DOI：10.3969/j.issn.1005-5630.2019.03.007 |
| 中文关键词: 淀粉 三维荧光光谱 平行因子分析 指纹图谱 |
| 英文关键词:starch three-dimensional fluorescence spectrum parallel factor analysis (PARAFAC) fingerprinting |
| 基金项目:中国科学院仪器设备功能开发技术创新项目（Y5016G1002） |
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| 中文摘要: |
| 采用淀粉固体粉末进行荧光光谱测定，并对三维荧光光谱（EEMs）进行平行因子分析（PARAFAC），研究了水稻、高粱、玉米等单子叶作物淀粉的荧光组分特征，探讨了荧光组分特征与水稻品种的相关性。结果表明：不同来源的淀粉具有不同的荧光特性，可作为该物种淀粉的指纹图谱；籼稻荧光组分的荧光强度明显低于粳稻，经过单因素方差分析，可确定籼稻和粳稻的淀粉荧光组分强度具有显著差异，说明该方法可用于籼粳稻淀粉的鉴别。 |
| 英文摘要: |
| This paper conducted fluorescent spectra of starch powder by using three dimensional fluorescence spectroscopy (EEMs) combined with parallel factors analysis (PARAFAC), revealing that different fluorescence features in the different crops. We built fluorescence fingerprint of several monocots seed starch such as rice, sorghum and maize. Furthermore, we tested the correlations of fluorescence properties and rice variety. The results indicated that fluorescence components intensity were lower in indica varieties than that in japonica varieties. One-way analysis of variance test showed statistic differences between indica varieties and japonica varieties. This method can be used for different variety starch identification. |
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