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利用傅里叶变换红外光谱(FTIR)对5种不同类型的土壤进行了研究,结果显示,其红外光谱主要是由碳酸盐、硝酸盐、磷酸盐、锰酸盐等无机盐类,黏土矿物及有机质的振动吸收带组成。五种土壤的红外光谱在1600~750cm-1范围内呈现出差异,作一阶导数处理后,发现其差异主要表现在1440cm-1、875cm-1及798~780cm-1附近。选取1600~750cm-1范围内的一阶导数数据运用Matlab 2010来实现主成分分析,前两个主成分累计贡献率达到90.14%,利用这两个主成分作二维散点分布图,结果表明该分布能对这五种土壤进行有效分类,这为土壤鉴定提供了快捷的光谱手段,同时表明傅里叶变换红外光谱技术用于对土壤的研究,且具有测定快速方便、无损、准确等优点,具有较大的应用潜力。
Five different types of soils were studied by Fourier transform infrared spectroscopy (FTIR). The results showed that the infrared spectra were mainly composed of inorganic salts such as carbonates, nitrates, phosphates and manganates, clay minerals And organic matter vibration absorption band composition. The infrared spectra of the five soils showed differences in the range of 1600-750 cm-1. After the first-order derivative treatment, the differences were mainly found in the range of 1440 cm-1,875 cm-1 and 798-780 cm-1. The first derivative data in the range of 1600-750cm-1 were selected to implement the principal component analysis using Matlab 2010, the cumulative contribution rate of the first two principal components reached 90.14%. Using the two principal components as the two-dimensional scatter plot, the results show This distribution can effectively classify these five kinds of soils, which provides a fast spectral method for soil identification. At the same time, it shows that Fourier transform infrared spectroscopy is used for soil research and has the advantages of rapid, convenient, nondestructive and accurate determination , Has great potential applications.