ArticleFoods (Basel, Switzerland)2023
Rapid Food Authentication Using a Portable Laser-Induced Breakdown Spectroscopy System.
Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 20 citations in OpenAlex.
- A two-stage hierarchical support vector machine framework detects roasted coffee adulterants through principal component analysis of hyperspectral imaging data.Scientific reports · 2026Article
- Enhancing spectral analysis of ghee adulteration via a deep learning-based multimodal attention mechanism.Scientific reports · 2026Article
- Methodological Approach toFoods (Basel, Switzerland) · 2025Article
- Authentication of Edible Oil by Real-Time One Class Classification Modeling.Foods (Basel, Switzerland) · 2025Article
- Potential antibacterial and antioxidant inhibitory activities ofSaudi journal of biological sciences · 2023Article
- Hybrid Raman and Laser-Induced Breakdown Spectroscopy for Food Authentication Applications.Molecules (Basel, Switzerland) · 2023Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Laser-induced breakdown spectroscopy (LIBS) is an atomic-emission spectroscopy technique that employs a focused laser beam to produce microplasma. Although LIBS was designed for applications in the field of materials science, it has lately been proposed as a method for the compositional analysis of agricultural goods. We deployed commercial handheld LIBS equipment to illustrate the performance of this promising optical technology in the context of food authentication, as the growing incidence of food fraud necessitates the development of novel portable methods for detection. We focused on regional agricultural commodities such as European Alpine-style cheeses, coffee, spices, balsamic vinegar, and vanilla extracts. Liquid examples, including seven balsamic vinegar products and six representatives of vanilla extract, were measured on a nitrocellulose membrane. No sample preparation was required for solid foods, which consisted of seven brands of coffee beans, sixteen varieties of Alpine-style cheeses, and eight different spices. The pre-processed and standardized LIBS spectra were used to train and test the elastic net-regularized multinomial classifier. The performance of the portable and benchtop LIBS systems was compared and described. The results indicate that field-deployable, portable LIBS devices provide a robust, accurate, and simple-to-use platform for agricultural product verification that requires minimal sample preparation, if any.
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Registered trials
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