Terahertz spectroscopy-based rapid detection of exchangeable heavy metal pollution in soil using Scenedesmus obliquus

Abstract

This study introduces a novel approach for the rapid detection of exchangeable heavy metal pollution in soil, utilizing Scenedesmus obliquus as a bioadsorbent. Terahertz spectroscopy was used to analyze the cell wall proteins and functional groups of S. obliquus following physical adsorption. This analysis enabled the deduction of the types and concentrations of exchangeable heavy metal ions in soil. We established a prediction model for heavy metal concentrations using partial least squares (PLS) regression, achieving optimal detection times: 10min for Pb2+, 20min for Ni2+, and 30min for Co2+. Validation with real surface soil samples demonstrated excellent accuracy rates: 97.8% for Pb2+, 91.8% for Ni2+, and 90% for Co2+. Notably, our method reduces the detection time to 0.5hours, requires only 5ml of sample volume, and enhances detection accuracy to 0.1μg/L.