分析化学2018，Vol.46Issue(4)：616-622,7.DOI:10.11895/j.issn.0253-3820.171100
示差红外光谱在土壤有机质组成研究中的应用
Studies on Composition of Soil Organic Matter by Fourier Transform Infrared Spectroscopy Differential Analysis
摘要
Abstract
Fourier transform mid-infrared spectroscopy (FTIR) method was used to analyze the soil organic matter (SOM) composition of a black soil under different management types. Spectral subtraction method was used for eliminating the interference of soil mineral to the absorption peak. Peaks at 2920,2850,1630 and 1420 cm-1were selected as a range of organic functional groups, and relative areas of these peaks were calculated by integral method. The correlation between peak areas and the content of SOM fractions were analyzed. Positive correlations between carbon (C) in fractions representing labile SOM (water-soluble organic carbon,hot water-soluble organic carbon, free light fraction carbon, occluded light fraction carbon) and the peak area at 2920 cm-1in the bulk soil indicated that this aliphatic peak corresponded to the more labile C compounds. Negative correlations between the same fractions and the area of the predominantly aromatic peak at 1630 cm-1in the bulk soil suggested a relationship with more stable SOM compounds. The ratio of the peaks at 1630 and 2920 cm-1was positively correlated with the ratio of stable C(heavy fraction) to labile C (light fraction) and thus taken as an indicator of SOM stability. This method was convenient, low cost and less sample usage,and could be used to analyze the organic carbon composition of soils which has the same mineral composition.关键词
傅里叶变换红外光谱/差谱/黑土/土壤有机质Key words
Fourier transform mid-infrared spectroscopy/Spectral subtraction method/Black soil/Soil organic matter引用本文复制引用
郝翔翔,韩晓增,邹文秀..示差红外光谱在土壤有机质组成研究中的应用[J].分析化学,2018,46(4):616-622,7.基金项目
本文系国家重点研发计划(Nos.2016YFD0300806-1,2016 YFD0200309-6)和中国科学院东北地理与农业生态研究所青年科学家小组项目(No.DLSXZ1605)资助This work was supported by the National Key Research and Development Program of China (Nos.2016YFD0300806-1,2016 YFD0200309-6), and the Excellent Young Talent Program of Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences (No. DLSXZ1605). （Nos.2016YFD0300806-1,2016 YFD0200309-6）
