基于近红外光谱技术的黑龙江地理标志大米产地溯源研究

发布时间：2018-03-27 19:22

本文选题：近红外光谱技术　切入点：大米　出处：《中国粮油学报》2017年10期

【摘要】：为建立地理标志大米的快速检测技术,更好地维护地方名优大米品牌效益,利用近红外光谱技术结合定性分析(鉴别分析和聚类分析)和偏最小二乘法(PLS)对黑龙江省3个水稻主产区的地理标志大米进行产地溯源研究。结果表明:运用鉴别分析和聚类分析建立的模型对建三江、五常地域预测正确率为100%,响水地域预测正确率为95.83%;五常、响水地域判别正确率为100%,建三江地域判别正确率为95.83%。采用PLS建立定量分析模型对建三江、五常、响水三个地域的预测正确率分别为95.83%、100%、95.83%。通过鉴定及检测结果可知利用近红外光谱技术可对黑龙江地理标志大米进行产地保护,且产地预测正确率达95%以上。
[Abstract]:In order to establish the rapid detection technology of geographical indication rice, and better maintain the benefit of local famous rice brand, Using near infrared spectroscopy (NIR) combined with qualitative analysis (identification analysis and cluster analysis) and partial least square method (PLS) to study the origin of rice in three main rice producing areas in Heilongjiang Province. The results show that: 1. Different analysis and cluster analysis model to build three rivers, The prediction accuracy rate of Wuchang region is 100, that of Shengshui region is 95.83, that of Wuchang and Xiangshui region is 100, and that of Jianshanjiang is 95.83. The quantitative analysis model is established by PLS to build Sanjiang and Wuchang. The prediction accuracy of Xiangshui was 95.83% and 95.83%, respectively. The results of identification and detection showed that the near infrared spectrum technology could be used to protect the area of Heilongjiang geographical indication rice, and the correct rate of producing area forecast was over 95%.
【作者单位】：黑龙江八一农垦大学食品学院;
【基金】：黑龙江省教育厅科学技术研究(12541576) 黑龙江省垦区科研项目(HKN125B-13-02) 黑龙江省高等学校科技创新团队建设计划(2014TD006) 黑龙江省应用技术研究与开发计划(GA14B104)
【分类号】：O657.33;TS210.7

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