Dević Gordana, Bulatović Sandra, Avdalović Jelena, Marić Nenad, Milić Jelena, Ilić Mila, Šolević Knudsen Tatjana
Institute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, University of Belgrade, Njegoševa 12, 11000 Belgrade, Serbia.
Faculty of Forestry, University of Belgrade, Kneza Višeslava 1, 11030 Belgrade, Serbia.
Molecules. 2025 Jan 3;30(1):154. doi: 10.3390/molecules30010154.
This study focused on the investigation of soil samples from the alluvial zone of the Sava River, located near the heating plant in New Belgrade, Serbia. Using gas chromatography with flame ionization detection (GC-FID), a broad range of alkanes, including linear -alkanes (C to C) and isoprenoids, was analyzed in all samples. The obtained datasets were effectively made simpler by applying multivariate statistical analysis. Various geochemical indices (CPI, ACL, AI, TAR, etc.) and ratios (S/L, Paq, Pwax, etc.) were calculated and used to distinguish between biogenic and anthropogenic contributions. This approach added a higher level of precision to the source identification of hydrocarbons and provided a detailed geochemical characterization of the investigated soil. The results showed that the topsoil had a high content of TPH (average value, 90.65 mg kg), potentially related to an accidental oil spill that occurred repeatedly over extended periods. The uncommon -alkane profiles reported for the investigated soil samples are probably the result of inputs related to anthropogenic sources, emphasizing that petroleum was the main source of the short-chain -alkanes. The methodology developed in this study was proven to be efficient for the assessment of the environmental quality of the soil in an urban part of New Belgrade, but it can also be a useful tool for soil monitoring and for a pollution assessment in other (sub)urban areas.
本研究聚焦于对塞尔维亚新贝尔格莱德供热厂附近萨瓦河冲积区土壤样本的调查。使用带有火焰离子化检测的气相色谱法（GC-FID），对所有样本中的多种烷烃进行了分析，包括直链烷烃（C 至 C）和类异戊二烯。通过应用多元统计分析，有效简化了所得数据集。计算了各种地球化学指标（CPI、ACL、AI、TAR 等）和比率（S/L、Paq、Pwax 等），用于区分生物源和人为源贡献。这种方法提高了烃类来源识别的精度，并提供了所调查土壤的详细地球化学特征。结果表明，表层土壤中总石油烃含量较高（平均值为 90.65 毫克/千克），这可能与长期反复发生的意外石油泄漏有关。所调查土壤样本中报告的不常见直链烷烃分布可能是人为源输入的结果，强调石油是短链直链烷烃的主要来源。本研究中开发的方法被证明对于评估新贝尔格莱德市区土壤的环境质量是有效的，但它也可以成为其他（次）城市地区土壤监测和污染评估的有用工具。
