AbstractSoil is one of the most encountered physical evidence and can be useful in tracing the location of the crime scene. The discrimination of soils is fundamental to provide a link between a suspect and a crime scene. However, discrimination study of soils could be difficult due to interferences in the chemical fingerprint of soils obtained via a chemical instrumental technique. In this study, performances of four column-wise manipulations (CWMs) on ultra-performance liquid chromatography (UPLC) data of soils were evaluated. Both univariate and multivariate exploratory tools have been employed to elucidate discriminative capability of the preprocessed UPLC data. Results showed that CWMs hardly caused any positive impact to the UPLC data...