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An Alternate Method for Fourier Transform Infrared (FTIR) Spectroscopic Determination of Soil Nitrate Using Derivative Analysis and Sample Treatments

机译:导数分析和样品处理的傅立叶变换红外光谱法测定土壤硝酸盐的另一种方法

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摘要

This study aimed at examining effective sample treatments and spectral processing for an alternate method of soil nitrate determination using the attenuated total reflectance (ATR) of Fourier transform infrared (FTIR) spectroscopy. Prior to FTIRrnmeasurements, soil samples were prepared as paste to enhance adhesion between the ATR crystal and sample. The similar nitrate peak heights of soil pastes and their supernatants indicated that the nitrate in the liquid portion of the soil paste mainly responded to the FTIR signal. Using a 0.01-M CaSO_4 solution for the soil paste, which has no interference bands in the characteristic spectra of the analyte, increased the concentration of the nitrates to be measured. Second-order derivatives were used in the prediction model to minimize the interference effects and enhance the performance. The second-order derivative spectra contained a unique nitrate peak in a range of 1,400-1,200 cm~(-1) without interference of carbonate. A partial least square regression model using second-order derivative spectra performed well (R~2=0.995, root mean square error (RMSE)=23.5, ratio of prediction to deviation (RPD)=13.8) on laboratory samples. Prediction results were also good for a test set of agricultural field soils with a CaCO_3 concentration of 6% to 8% (R2=0.97, RMSE=18.6, RPD = 3.5). Application of the prediction model based on soil paste samples to nitrate stock solution resulted in an increased RMSE (62.3); however, validation measures were still satisfactory (R~2=0.99, RPD=3.0).
机译:这项研究旨在研究有效的样品处理和光谱处理,以使用傅里叶变换红外(FTIR)光谱的衰减全反射率(ATR)测定土壤硝酸盐的另一种方法。在进行FTIR测量之前,将土壤样品制成糊状,以增强ATR晶体与样品之间的附着力。泥浆及其上清液的硝酸盐峰值高度相似,表明泥浆液体部分的硝酸盐主要响应FTIR信号。对土壤糊使用0.01M CaSO_4溶液,该溶液在分析物的特征光谱中没有干扰带,从而增加了待测硝酸盐的浓度。在预测模型中使用了二阶导数,以最大程度地减少干扰影响并增强性能。二阶导数光谱在1,400-1,200 cm〜(-1)范围内包含一个独特的硝酸盐峰,而没有碳酸盐的干扰。使用二阶导数谱的偏最小二乘回归模型在实验室样品上表现良好(R〜2 = 0.995,均方根误差(RMSE)= 23.5,预测与偏差之比(RPD)= 13.8)。对于CaCO_3浓度为6%至8%(R2 = 0.97,RMSE = 18.6,RPD = 3.5)的农田土壤的测试集,预测结果也很好。将基于土壤糊状样品的预测模型应用于硝酸盐原液会导致RMSE增加(62.3);但是,验证措施仍然令人满意(R〜2 = 0.99,RPD = 3.0)。

著录项

  • 来源
    《Water, air and soil pollution》 |2010年第4期|129-137|共9页
  • 作者单位

    Department of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), 261 Cheomdan-gwagiro, Buk-gu, Gwangju, 500-712, Republic of Korea Soil & Fertilizer Management Division, National Academy of Agricultural Science, RDA, 150 Suin-ro, Gwonseon-gu, Suwon 441-707, Republic of Korea;

    Department of Earth Systems Analysis, International Institute for Geo-information Science and Earth Observation (ITC), Hengelosestraat 99, 7500 AA, Enschede, The Netherlands Department of Physical Geography, Utrecht University, Heidelbergiaan 2, 3508 TA, Utrecht, The Netherlands;

    Department of Earth Systems Analysis, International Institute for Geo-information Science and Earth Observation (ITC), Hengelosestraat 99, 7500 AA, Enschede, The Netherlands;

    Alterra, Soil Science Center, Wageningen University and Research Center, P.O. Box 47, NL-6700 AA, Wageningen, The Netherlands;

    Department of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), 261 Cheomdan-gwagiro, Buk-gu, Gwangju, 500-712, Republic of Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    attenuated total reflectance fourier transform infrared; nitrate determination; partial least square regression; second-order derivatives; soil paste;

    机译:衰减的全反射傅立叶变换红外;硝酸盐测定;偏最小二乘回归二阶导数;泥浆;

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