中红外光谱在土壤性质研究中的应用

Yufei Wu
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摘要

在过去的几十年里,土壤环境分析的重要性已经成为一个热门的社会话题。因为土壤环境不仅决定了作物的生存条件,也决定了作物的产量。有许多传统的方法可以用来分析土壤的性质,但它们都有一些缺点。例如,这些方法需要专业知识来操作,样品在制备过程中必须销毁,运行仪器成本高,获得光谱效率低。因此,寻找一种既环保又方便的模型来分析土壤性质成为一个需要解决的主要方向。中红外光谱以其较宽的吸光度范围和较强、清晰的信号,成为实验室中常用而有效的技术。MIR光谱法可以克服传统方法的局限性,不需要平淡、繁琐、复杂的制备步骤,结果精度高。因此,本文对MIR光谱分析进行了概述,并详细说明了MIR光谱在土壤性质中的应用。阐述了基于MIR光谱分析的定量模型和分类模型的建立过程,重点介绍了MIR光谱在土壤环境分析中的应用及未来展望。MIR光谱可用于分析土壤的生物和化学性质,有利于监测植物的生存环境。通过这种方式,可以优化植物的状态或作物的生产。通过开发这种MIR分析技术,将在农业、植物学、动物学等领域迈出重要的一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The application of mid-infrared spectroscopy in the soil properties
Over the past few decades, the importance of soil environment analysis has become a popular social topic. Because soil environment not only determines the living condition for crops, but also decides their productions. There are many conventional methods that could be used to analyze the properties of soils, but they have some disadvantages. For instance, these methods require expertise to operate it, samples must be destroyed in preparation process, running instruments is costly, and getting spectra is ineffective. Thus, finding an eco-friendly and convenient model to analyze soil properties become a leading direction that is required to be solved. Mid-infrared (MIR) spectroscopy, with broad absorbance range and strong, clear signals, become a common and effective technique in the laboratory. MIR spectroscopy could overcome the limits of the traditional methods, it does not require insipid, tedious, or complex preparation steps, and it provides results with high accuracy. Hence, this article is a general introduction to MIR spectral analysis, and it explained detailly the applications of MIR spectroscopy in soil properties. It not only illustrated the procedures of developing quantitative and classification models based on MIR spectra analysis, but also emphasized on the applications and future sights of MIR spectroscopy in soil environment analysis. MIR spectroscopy can be used to analyze the biological and chemical properties of soils, which is conducive to monitor the living environment for plants. In this way, the state of plants or the production of crops could be optimized. By developing this MIR analytical technique, there would be a significant step being taken in agriculture, botany, zoology, and so on.
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