A terahertz metamaterial-based approach for detecting trace 1-naphthaleneacetic acid residues via AOO-optimized support vector regression

Key Points

• To develop a terahertz metamaterial-based method for detecting trace amounts of naphthaleneacetic acid residues.
• Utilized terahertz metamaterials for improved detection sensitivity.
• Applied AOO-optimized support vector regression for data analysis.
• Designed a workflow schematic for the detection process.
• Achieved detection of trace levels of naphthaleneacetic acid residues.
• Demonstrated enhanced sensitivity compared to traditional detection methods.