Rapid classification of tea using laser-induced breakdown spectroscopy coupled with BP neural network optimized by improved SSA

Key Points

• LIBS exhibited rapid and robust element detection in tea samples, highlighting its efficiency in analysis.
• An optimized BP neural network, improved through SSA, significantly enhanced classification accuracy in the experimental setup.
• The study utilized advanced LIBS techniques for in-situ detection, addressing challenges in traditional spectra analysis.
• The findings may encourage further application of LIBS in various fields, particularly in rapid food product analysis.