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Issue 36, 2017
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Quantitative analysis of different nitrogen isotope labelled nitrates in paddy soil using mid-infrared attenuated total reflectance spectroscopy

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Abstract

Nitrogen isotope labelled technology with mass spectroscopy is commonly used to trace the fate of agricultural N in the environment. However, due to mass spectroscopy's cost, time consumption and long laborious preparation, Fourier transform infrared attenuated total reflection spectroscopy (FTIR-ATR) was employed to detect different isotope labelled nitrates in this study, and the feasibility of this method was investigated in paddy soil. The results showed that the RPD of a partial least squares regression (PLSR) model were 5.69 and 8.15 mg kg−1 for 14NO3–N and 15NO3–N, respectively, and the RMSEP were 5.60 and 3.91 mg kg−1, respectively, which indicated that the method could well predict the nitrate concentration. The model implementation indicated that the total nitrate concentrations from FTIR-ATR and mass spectrometry were almost the same, among which 15N labelled nitrate obtained by ATR was 3.58–10.02 mg kg−1 lower than that from mass spectrometry, while 14N labelled nitrate from ATR was 6.75–13.68 mg kg−1 higher. Compared with a control treatment, the mineralization and release of soil nitrogen were enhanced in a nitrogen treatment. Therefore, the technique of FTIR-ATR can be used as an alternative option in determining isotope labelled nitrate in paddy soil.

Graphical abstract: Quantitative analysis of different nitrogen isotope labelled nitrates in paddy soil using mid-infrared attenuated total reflectance spectroscopy

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Publication details

The article was received on 19 Jun 2017, accepted on 19 Aug 2017 and first published on 21 Aug 2017


Article type: Paper
DOI: 10.1039/C7AY01507K
Citation: Anal. Methods, 2017,9, 5388-5394
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    Quantitative analysis of different nitrogen isotope labelled nitrates in paddy soil using mid-infrared attenuated total reflectance spectroscopy

    Y. Shao, C. Du, J. Zhou, F. Ma, Y. Zhu, K. Yang and C. Tian, Anal. Methods, 2017, 9, 5388
    DOI: 10.1039/C7AY01507K

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