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魚粉,、豆粕樣本-樣本二維相關(guān)近紅外光譜判別
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國家自然科學(xué)基金資助項(xiàng)目(31072062)和國際科技合作資助項(xiàng)目(2010DFA34540)


Discriminant Analysis of Fish Meal and Soybean Meal Using Sample-sample 2-D Correlation Near-infrared Spectroscopy
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    摘要:

    為了探討利用二維相關(guān)近紅外光譜法快速判別魚粉和豆粕飼料原料的可行性,,共收集了52個(gè)魚粉,、60個(gè)豆粕樣品,,其中34個(gè)魚粉和40個(gè)豆粕樣品作為定標(biāo)集,,其余18個(gè)魚粉和20個(gè)豆粕樣品作為獨(dú)立驗(yàn)證集,,用Spectrum400型近紅外光譜儀掃描獲取光譜,并對(duì)其特征峰進(jìn)行解析,。采用樣本-樣本二維相關(guān)分析方法定性判別魚粉,、豆粕,當(dāng)預(yù)處理方法為一階導(dǎo)數(shù)時(shí),,判斷正確率為100%,。與偏最小二乘判別分析方法相比,二者均可正確檢測魚粉,、豆粕,,其中二維相關(guān)方法的建模及驗(yàn)證算法簡單、計(jì)算量小,、運(yùn)算速度快,。

    Abstract:

    In order to investigate the feasibility of sample-sample 2-D correlation near infrared diffuse reflectance spectroscopy method for different protein feeds rapid identification,52 fish meal samples and 60 soybean meal samples were collected,,including 74 calibration samples and 38 independent validation samples. Samples were measured by spectrometer. Calibration model was established by sample-sample 2-D correlation spectroscopy method with the pretreatment of 3-point first derivative. This method performed 100% of correctly classified samples. Compared with partial least squares discriminant analysis method, both of them can correctly identify the fish meal and soybean meal. But the sample-sample 2-D correlation spectroscopy method is fast for calculation.

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呂程序,陳龍健,楊增玲,韓魯佳.魚粉,、豆粕樣本-樣本二維相關(guān)近紅外光譜判別[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2012,43(12):141-145. Lü Chengxu, Chen Longjian, Yang Zengling, Han Lujia. Discriminant Analysis of Fish Meal and Soybean Meal Using Sample-sample 2-D Correlation Near-infrared Spectroscopy[J]. Transactions of the Chinese Society for Agricultural Machinery,2012,43(12):141-145.

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  • 在線發(fā)布日期: 2012-12-13
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