Classification of roasted coffee bean products using laser-induced breakdown spectroscopy: a novel variable selection
Yujin Oh1, Heesu Chae1, Hyemin Jung1
1Department of Chemistry, Mokpo National University, Jeonnam 58554, Republic of Korea. shnam@mokpo.ac.kr.
Laser-induced breakdown spectroscopy (LIBS) combined with k-nearest neighbors (k-NN) effectively classifies roasted coffee beans. This elemental analysis method, focusing on Li, Na, and Rb, offers a robust approach to coffee authentication, unaffected by roasting.
Area of Science:
- Food Science
- Analytical Chemistry
- Spectroscopy
Background:
- Coffee bean authentication is crucial for industry authenticity and consistency.
- Existing methods like spectroscopy and chromatography have limitations, including complex sample prep or molecular data instability during roasting.
- Laser-induced breakdown spectroscopy (LIBS) offers fast, minimally invasive elemental analysis suitable for food authentication.
Purpose of the Study:
- To evaluate the feasibility of combining LIBS with the k-nearest neighbors (k-NN) algorithm for classifying roasted coffee bean products.
- To identify key elemental discriminatory variables for an accurate coffee classification model.
- To assess the stability of the chosen analytical markers during the coffee roasting process.
Main Methods:
- Collected LIBS spectra from 12 roasted coffee bean products from South Korean markets.
- Analyzed spectra for elemental emission peaks (Li, Na, K, Rb, Mg, Ca, C, H, O) and molecular bands (CN, C2).
- Employed the k-NN algorithm with a novel 'inter-to-intraclass variation ratio' to classify beans based on elemental intensities, particularly Li, Na, and Rb.
Main Results:
- LIBS successfully detected key elements and molecular bands in roasted coffee beans.
- The emission intensities of Li, Na, and Rb were identified as the most significant discriminatory variables.
- The k-NN model achieved high classification accuracies: 96.0% with k=1 and 98.5% with k=3 after scaling.
- The elemental composition (Li, Na, Rb) proved stable and unaffected by the roasting process.
Conclusions:
- LIBS combined with k-NN is a practical and efficient tool for authenticating roasted coffee products.
- The method leverages high sensitivity to alkali metal elements for rapid and accurate classification.
- This approach offers a stable alternative to methods relying on labile molecular information affected by roasting.
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