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A novel soil nutrient detection method based on combined ATR and DRIFT mid-infrared spectra

机译:一种基于组合ATR和漂移中红外光谱的新型土壤营养检测方法

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摘要

Conventional soil nutrient detection methods are time-consuming and laborious and cannot realize rapid measurement. Mid-infrared spectroscopy with the advantages of high detection speed, non-destructive testing, and a pretreatment-free process has been widely applied in soil nutrient analysis. In previous studies on the detection of soil compositions, diffuse reflection and attenuated total reflection are two commonly adopted ways in mid-infrared spectroscopy. In this paper, we developed a method which could simultaneously measure the infrared attenuated total reflection (ATR) and diffuse reflection infrared Fourier transform (DRIFT) spectra of soils, in order to obtain more abundant spectral information. We analyzed and predicted the contents of organic matters, organic carbon and total nitrogen quantitatively in soils by using chemometrics. The results showed that after combining ATR spectra and DRIFT spectra, the MSC-processed PLS models allowed a higher prediction accuracy than that of using ATR or DRIFT spectra alone. The coefficients of determination of organic matters, organic carbon and total nitrogen models were 0.93, 0.952 and 0.971, respectively. By combining ATR and DRIFT spectral information, the analytical ability of infrared spectroscopy was enhanced. This study provided a new method for the rapid measurement of soil nutrients.
机译:常规的土壤养分检测方法是耗时和费力的,无法实现快速测量。中红外光谱具有高检测速度,无损检测和预处理过程的优点,已广泛应用于土壤养分分析。在先前关于土壤组合物的检测的研究中,漫反射和减弱的总反射是中红外光谱中的两种通常采用的方式。在本文中,我们开发了一种方法,可以同时测量红外衰减的全反射(ATR)和漫反射红外傅里叶变换(漂移)光谱,以获得更丰富的光谱信息。我们通过使用化学计量分析并预测了在土壤中定量的有机物质,有机碳和总氮的含量。结果表明,在组合ATR光谱和漂移谱后,MSC处理的PLS型号允许比使用ATR或漂移光谱的预测精度更高。有机物质,有机碳和总氮模型的测定系数分别为0.93,0.952和0.971。通过组合ATR和漂移光谱信息,增强了红外光谱的分析能力。本研究提供了一种快速测量土壤营养的新方法。

著录项

  • 来源
    《Analytical methods》 |2017年第3期|共6页
  • 作者单位

    Shanxi Agr Univ Jinzhong Peoples R China;

    Beijing Acad Agr &

    Forestry Sci Beijing Res Ctr Intelligent Equipment Agr Beijing Peoples R China;

    Shanxi Agr Univ Jinzhong Peoples R China;

    Beijing Acad Agr &

    Forestry Sci Beijing Res Ctr Intelligent Equipment Agr Beijing Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分析化学;
  • 关键词

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