Liu Jinping, Yang Tao, Xu Jiaqi, Sun Yankun
College of Resources and Environment, Northeast Agricultural University, Harbin, China.
Heilongjiang Vocational College of Agricultural Technology, Jiamusi, China.
Front Chem. 2021 Jun 25;9:699368. doi: 10.3389/fchem.2021.699368. eCollection 2021.
The rapid detection of organic matter in soil is of great interest in agriculture, but the commonly used techniques require laboratory operation. Therefore, the development of a technique that allows rapid detection of soil organic matter in the field is of great interest. In this work, we propose an electrochemical-based approach for the detection of organic matter in soil particles. Since soil particles immobilized directly on the electrode surface can fall off during testing, we introduced graphene to coat the soil particles. The encapsulated soil particles can be stably immobilized on the electrode surface. We have investigated the electrochemical behavior of soil particles. The results show a correspondence between the electrochemical oxidation and reduction of soil particles and the organic matter content in them. We collected soil samples from three sites and constructed an electrochemical modeling, testing framework with stability based on multiple calibrations and random division of the prediction set. We used the equal interval partial least squares (EC-PLS) method for potential optimization to establish the equivalent model set. A joint model for the electrochemical analysis of organic matter in three locations of soil samples was developed for the commonality study.
土壤中有机物的快速检测在农业领域备受关注，但常用技术需要实验室操作。因此，开发一种能够在田间快速检测土壤有机物的技术具有重要意义。在这项工作中，我们提出了一种基于电化学的方法来检测土壤颗粒中的有机物。由于直接固定在电极表面的土壤颗粒在测试过程中可能会脱落，我们引入了石墨烯来包覆土壤颗粒。包覆后的土壤颗粒能够稳定地固定在电极表面。我们研究了土壤颗粒的电化学行为。结果表明，土壤颗粒的电化学氧化和还原与其中的有机物含量之间存在对应关系。我们从三个地点采集了土壤样本，并基于多次校准和预测集的随机划分构建了一个具有稳定性的电化学建模测试框架。我们使用等间隔偏最小二乘法（EC-PLS）进行电位优化，以建立等效模型集。为了进行共性研究，开发了一个用于土壤样本三个位置有机物电化学分析的联合模型。
