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Identification and Quantification of Trace Metal Speciation in Sediments Using Hyperspectral Imaging
Kévin Humbert1,2, Kévin Jacq1,3,4, Maxime Debret1
1Normandie Universite, UNIROUEN, UNICAEN, CNRS, M2C, 76000 Rouen, France.
Applied Spectroscopy
|February 2, 2026
Summary
Hyperspectral imaging (HSI) offers a rapid, non-destructive method to analyze trace element (TE) speciation in sediments. This technique accurately identifies and quantifies TE forms, improving environmental risk assessment.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Spectroscopy
Background:
- Sediment contamination by trace elements (TE) poses significant environmental risks.
- TE speciation dictates their mobility, bioavailability, and toxicity, making its characterization crucial.
- Current analytical methods for TE speciation are often complex and costly.
Purpose of the Study:
- To explore the potential of visible and near-infrared hyperspectral imaging (HSI) for estimating TE speciation in sediments.
- To assess the capability of HSI to identify and quantify different chemical species of TEs based on spectral properties.
- To evaluate HSI as a rapid and accurate alternative or complement to conventional analytical techniques.
Main Methods:
- Preparation of standard ranges of sixteen chemical species of six TEs (As, Cd, Cu, Ni, Pb, Zn).
- Use of three model sediment matrices: clay, silt, and organic matter.
- Application of visible and near-infrared hyperspectral imaging (HSI) to analyze spectral properties.
Main Results:
- Specific spectral absorptions were identified for each TE species.
- Nine TE species were successfully quantified using HSI.
- Detection limits were approximately 1 g/kg in the visible range and 10 g/kg in the short-wave infrared range.
Conclusions:
- HSI is a promising non-destructive spectroscopic method for characterizing TE speciation in sediments.
- This approach allows for a more accurate and rapid assessment of environmental risk.
- HSI can complement conventional analytical methods for TE analysis in complex matrices.
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