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基于特征光譜提取的有機基質(zhì)全氮含量快速檢測方法
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國家星火計劃資助項目(2010GA690001)、江蘇高校優(yōu)勢學科建設(shè)工程資助項目和江蘇省教育廳項目(08KJD210006)


Total Nitrogen Content Detection in Organic Substrate Using Visible-near-infrared Spectroscopy
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    摘要:

    以醋糟有機基質(zhì)為研究對象,采用便攜式可見/近紅外光譜儀獲得基質(zhì)樣品的光譜信息,經(jīng)過歸一化和一階微分預(yù)處理后,采用逐步回歸法提取對有機基質(zhì)全氮反應(yīng)敏感的特征光譜,建立基于特征波長組合的線性回歸模型。其中,以1699、746、1864和2154nm為特征波長的四元回歸模型為最佳,其預(yù)測相關(guān)系數(shù)和預(yù)測均方根誤差分別為0.9334和1.04。結(jié)果表明,利用可見/近紅外光譜技術(shù),通過特征光譜的提取并建立相應(yīng)的回歸模型,可以實現(xiàn)對有機基質(zhì)全氮含量的快速準確檢測。

    Abstract:

    For the purpose of developing a method for rapid detection of total nitrogen content in organic vinegar residue substrates, visible-near-infrared spectroscopy was used to collect the spectral data of the representative samples. And the spectra were pretreated by the method of first derivative after normalization. In order to choose the characteristic wavelengths for the total nitrogen content in the substrates, stepwise regression (SWR) method was applied twice. The results indicated that the characteristic wavelength was at 1699 nm, 746 nm, 1864 nm and 2154 nm, respectively. Based on these wavelengths, a linear regression model was performed. For comparing the predictive precision of the model, the correlationship between prediction total nitrogen content and that obtained by chemical method was analyzed. It was confirmed that the multivariate equation was the best with correlation coefficient 0.9334 and root mean squared error of prediction (RMSEP) 1.04. Therefore, it was demonstrated that visible-near-infrared spectroscopy with characteristic wavelengths selecting could be an available method for rapid detection of total nitrogen content in organic substrate.

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朱詠莉,李萍萍,孫德民,毛罕平.基于特征光譜提取的有機基質(zhì)全氮含量快速檢測方法[J].農(nóng)業(yè)機械學報,2011,42(5):175-177,192. Zhu Yongli, Li Pingping, Sun Demin, Mao Hanping. Total Nitrogen Content Detection in Organic Substrate Using Visible-near-infrared Spectroscopy[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(5):175-177,192.

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