Laser-Induced Breakdown Spectroscopy vs. Fluorescence Spectroscopy for Olive Oil Authentication

Area of Science:

• Analytical Chemistry
• Spectroscopy
• Chemometrics

Background:

• Extra Virgin Olive Oil (EVOO) authentication is crucial for consumer trust and market integrity.
• Adulteration with cheaper edible oils and geographical origin mislabeling are significant challenges.
• Rapid and reliable analytical methods are needed for online and in situ EVOO analysis.

Purpose of the Study:

• To assess laser-induced breakdown spectroscopy (LIBS) and fluorescence spectroscopy for EVOO adulteration detection.
• To evaluate the capability of these techniques for discriminating EVOOs based on geographical origin.
• To compare the performance and advantages of LIBS and fluorescence spectroscopy for EVOO authentication.

Main Methods:

• Analysis of EVOO samples using LIBS and fluorescence spectroscopy.
• Application of various machine learning algorithms for data analysis.
• Evaluation of predictive model reliability and robustness for classification accuracy.

Main Results:

• Both LIBS and fluorescence spectroscopy demonstrated high classification accuracies in detecting adulteration and determining geographical origin.
• LIBS showed a significant speed advantage over fluorescence spectroscopy for EVOO analysis.
• Machine learning models proved effective in analyzing spectroscopic data for authentication purposes.

Conclusions:

• LIBS and fluorescence spectroscopy are efficient techniques for rapid, online, and in situ EVOO authentication.
• LIBS is particularly advantageous due to its faster operational speed.
• These spectroscopic methods, combined with machine learning, offer robust solutions for EVOO quality control and traceability.