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作 者:高振红[1,2] 张志伟[1] 霍迎秋[3] 岳田利[2]
机构地区:[1]青岛农业大学食品科学与工程学院,青岛266109 [2]西北农林科技大学食品科学与工程学院,陕西杨凌712100 [3]西北农林科技大学信息工程学院,陕西杨凌712100
出 处:《农业机械学报》2016年第6期222-227,共6页Transactions of the Chinese Society for Agricultural Machinery
基 金:青岛农业大学高层次人才基金项目(6631115045)
摘 要:利用近红外高光谱技术,依据施药猕猴桃和空白猕猴桃中氯吡脲残留量不同、有机成分含量不同,进行了2类猕猴桃的无损识别技术研究。首先进行2类猕猴桃的田间试验,获得具有代表性的猕猴桃样品,然后通过近红外高光谱设备扫描样品,获得每个样品的近红外高光谱图像并输出每个样品平均反射光谱值,最后进行2类猕猴桃的无损识别。结果表明,PCA-LDA(主成分分析-线性判别分析)和支持向量机(SVM)2个数学模型的正确识别率都是94.4%;施药样品氯吡脲的残留量为0.03 mg/kg,空白样品的氯吡脲残留量为0 mg/kg;总糖、总酚、维生素C、可滴定酸、17种氨基酸、8种微量元素等有机成分含量存在一定的差异。因此,采用近红外高光谱技术进行植物生长调节剂猕猴桃的无损识别是可行的。Based on the difference of forchlorfenuron residue and organic component,non-destructive identification method of treated and control kiwifruits was studied using hyperspectral imaging system.Firstly,the representative samples were got by field experiment,and the hyperspectral image was got.The instrument parameters of hyperspectral image were as follows: exposure time 10 ms,scanning speed20 mm/s and object distance 20 mm/s. Secondly,the spectral regions of 1 040 ~ 1 120 nm and 1 335 ~1 500 nm were selected,totally 116 wave bands were produced,and the average hyperspectral value of each sample was calculated. Finally,all data of hyperspectral image were calculated by Matlab,and the non-destructive identification method of two types of kiwifruit was established. The residue of forchlorfenuron was determined by HPLC,organic component in kiwifruit was analyzed according to the national standard. The results showed that correct identification rate of PCA-LDA and support vector machine( SVM) mathematical models was 94. 4%; forchlorfenuron residue level of treated kiwifruit and control kiwifruit were 0. 03 mg/kg and 0 mg/kg,respectively; the content of organic components were different,such as total sugar,total phenols,vitamin C,titratable acid,17 kinds of amino acids and eight trace elements. Therefore,the high spectrum technology was an efficient method for non-destructive identification of PGR( plant growth regulation) kiwifruit.
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