不同有机物料施用下土壤颗粒有机碳红外光谱特征

引用本文: 陈晓东, 吴景贵. 不同有机物料施用下土壤颗粒有机碳红外光谱特征[J]. 分析化学, 2021, 49(3): 468-473. doi: 10.19756/j.issn.0253-3820.191378 shu

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

不同有机物料施用下土壤颗粒有机碳红外光谱特征

陈晓东 ,
吴景贵 ^,

吉林农业大学资源与环境学院, 长春 130118

通讯作者: 吴景贵,E-mail:wujingguiok@163.com

基金项目:
国家重点研发计划项目（Nos.2018YFD0300203，2017YFD0201801）资助。

摘要: 采集不同有机物料施用下原生盐碱土壤颗粒有机碳（Particulate organic carbon，POC）在4000~500 cm^-1范围内的红外光谱，分析了其光谱特征。采用主成分分析（Principal components analysis，PCA）技术，经过均值聚类、降维赋值、主成分载荷分析等步骤对POC红外光谱进行快速分析，同时采用常规法（即半定量分析法）进一步分析POC红外光谱进行验证。PCA分析表明，各处理POC组成存在差异性；同时，有机物料还田是POC组分中亚甲基脂肪碳和芳香碳的主要来源。半定量分析结果也表明，土壤POC官能团组成对不同的有机物料有不同的响应，有机物料还田处理增加了土壤POC亚甲基脂肪碳和芳香碳的相对含量，减少了土壤POC羧基碳的含量，土壤POC官能团脂族性减弱，芳香性增强，PCA分析与半定量分析结果基本一致。研究结果表明，利用PCA技术可以快速初步分析土壤POC红外光谱特征，PCA技术结合半定量分析可以比较全面地分析土壤POC红外光谱特征。

关键词:

English

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: 04 July 2019
Revised Date: 21 January 2021
Fund Project:
National Key Research and Development Program (Nos. 2018YFD0300203, 2017YFD0201801).

Abstract: 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.

Key words:

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1.
沈阳化工大学材料科学与工程学院沈阳 110142

不同有机物料施用下土壤颗粒有机碳红外光谱特征

通讯作者: 吴景贵,E-mail:wujingguiok@163.com

English

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

Corresponding author: WU Jing-Gui, wujingguiok@163.com

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通讯作者: 陈斌, bchen63@163.com

中国化学会秘书处

不同有机物料施用下土壤颗粒有机碳红外光谱特征

通讯作者: 吴景贵,E-mail:wujingguiok@163.com

English

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

Corresponding author: WU Jing-Gui, wujingguiok@163.com

CCS Chemistry：嵌段共聚物自组装成 “三明治”二维有机材料，实现纳米级压力传感功能

CCS Chemistry：颜徐州、鲍哲南： 你的皮肤可能是一片SPMs

CCS Chemistry：工作高效不疲劳，只须让催化剂动起来

CCS Chemistry：静电组装导向聚合- 聚电解质纳米凝胶量化制备新策略

CCS Chemistry：金黄色葡萄球菌醛基脱氢酶是如何识别特异性底物的？

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