Citation: CHEN Xiao-Dong, WU Jing-Gui. Infrared Spectrum Characteristics of Particulate Organic Carbon in Soil Fertilizing with Different Organic Materials[J]. Chinese Journal of Analytical Chemistry, ;2021, 49(3): 468-473. doi: 10.19756/j.issn.0253-3820.191378 shu

Infrared Spectrum Characteristics of Particulate Organic Carbon in Soil Fertilizing with Different Organic Materials

CHEN Xiao-Dong ,
WU Jing-Gui ^,

College of Resources and Environment, Jilin Agricultural University, Changchun 130118, China

Corresponding author: WU Jing-Gui, wujingguiok@163.com
Received Date: 4 July 2019
Revised Date: 21 January 2021

Fund Project: National Key Research and Development Program (Nos. 2018YFD0300203, 2017YFD0201801).

To effectively analyze the infrared spectra characteristics of particulate organic carbon (POC) of primary saline-alkali soil fertilizing with different organic materials, the American AVATAR 360 Fourier transform infrared spectrometer (FTIR) was used to analyze the organic carbon infrared spectra of the POC in the range of 4000-500 cm^-1. Principal components analysis (PCA) employing mean-clustering, dimensionality reduction and principal component load analysis was effectively used for analysis of infrared spectrum of POC. Meanwhile, the conventional method such semi-quantitative analysis was used to further analyze the infrared spectrum of POC for verification. The result of PCA analysis showed that the composition of POC after the different treatments was different, and the return of organic materials to the field was the main source of methylene fatty carbon and aromatic carbon in POC components. The semi-quantitative analysis also indicated that the soil POC functional group composition responded differently to the different organic material treatments. Moreover, returning organic materials increased the relative content of soil POC methylene fatty carbon and aromatic carbon, and reduced the content of soil POC carboxyl carbon, soil POC aliphatic functional groups and the aromaticity. The PCA analysis and semi-quantitative analysis results were similar. The results showed that PCA technology could be used as a preliminary technology to effectively analyze the infrared spectra characteristics of soil particles. Therefore PCA technology combined with semi-quantitative analysis could be used to comprehensively analyze the infrared spectra characteristics of soil particles.
- Primary saline-alkali soil,
- Particulate organic carbon,
- Infrared spectroscopy,
- Principal components analysis,
- Semi-quantitative analysis,
- Organic materials
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