Shi Gaoyong, Yang Ruifang, Zhao Nanjing, Yin Gaofang, Yang Jinqiang, Jiang Yuxi, Liu Wenqing
College of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, China.
Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China.
ACS Omega. 2024 Jun 27;9(27):29350-29359. doi: 10.1021/acsomega.4c01298. eCollection 2024 Jul 9.
Chemical methods for measuring soil organic content are often slow and yield inaccurate results due to significant errors. Simple summation of components may not accurately determine total organic content. In contrast, fluorescence imaging techniques offer rapid, in situ monitoring without complex pretreatment and demonstrate rapid and accurate assessment of soil organic content. Utilizing a soil organic pollutant fluorescence imaging in situ monitoring system that we independently developed, we conducted laboratory experiments to explore methods for acquiring fluorescence signals of petroleum hydrocarbons in soil and extracting image features. We used this monitoring system to obtain fluorescence images of crude oil in standard soil (soil properties are shown in Table S1) samples at concentrations ranging from 0 to 100 g/kg, and the coefficient of determination of the total amount inversion model reached 0.999. Simultaneously, we applied the system to a deserted petroleum storage area, and the relative standard deviation values of 16 of the 18 groups of tests were less than 1%, indicating that the monitoring system is highly stable when applied in the field. This study provides both theoretical foundation and technical support for the rapid and nondestructive detection of total petroleum hydrocarbons in soil at field sites.
用于测量土壤有机含量的化学方法通常速度较慢，且由于存在重大误差，会得出不准确的结果。各成分的简单相加可能无法准确测定总有机含量。相比之下，荧光成像技术可提供快速的原位监测，无需复杂的预处理，并能对土壤有机含量进行快速且准确的评估。利用我们自主研发的土壤有机污染物荧光成像原位监测系统，我们开展了实验室实验，以探索获取土壤中石油烃荧光信号及提取图像特征的方法。我们使用该监测系统获取了标准土壤（土壤性质见表S1）样品中原油浓度在0至100 g/kg范围内的荧光图像，总量反演模型的决定系数达到了0.999。同时，我们将该系统应用于一个废弃的石油储存区域，18组测试中的16组相对标准偏差值小于1%，这表明该监测系统在野外应用时具有高度稳定性。本研究为现场快速无损检测土壤中的总石油烃提供了理论基础和技术支持。
