ArticleFoods (Basel, Switzerland)2022
Assessing the Levels of Robusta and Arabica in Roasted Ground Coffee Using NIR Hyperspectral Imaging and FTIR Spectroscopy.
Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 30 citations in OpenAlex.
- Portable electrochemical sensing coupled with machine learning for rapid Arabica and Robusta coffee authentication and blend ratio prediction.Food chemistry: X · 2026Article
- A two-stage hierarchical support vector machine framework detects roasted coffee adulterants through principal component analysis of hyperspectral imaging data.Scientific reports · 2026Article
- Effect of Temperature on the Drying Kinetics of Caturra Coffee: Correlation with Hyperspectral Imaging and Sensory Quality.Foods (Basel, Switzerland) · 2026Article
- A Systematic Review of Imaging Techniques for the Botanical and Geographical Classification of Coffee.Foods (Basel, Switzerland) · 2026Review
- Comparative study of Waste-Derived and conventional sorbents for heavy metal removal from water.Scientific reports · 2025Article
- Microencapsulation of Spent Coffee Extract WithinFoods (Basel, Switzerland) · 2025Article
- Edible Alginate-Lecithin Films Enriched with Different Coffee Bean Extracts: Formulation, Non-Cytotoxic, Anti-Inflammatory and Antimicrobial Properties.International journal of molecular sciences · 2024Article
- Application of ATR-FTIR for Green Arabica Bean Shelf-Life Determination in Accelerated Storage.Foods (Basel, Switzerland) · 2024Article
- Rapid Determination of Crude Protein Content in Alfalfa Based on Fourier Transform Infrared Spectroscopy.Foods (Basel, Switzerland) · 2024Article
- Assessment of Nitrite Content in Vienna Chicken Sausages Using Near-Infrared Hyperspectral Imaging.Foods (Basel, Switzerland) · 2023Article
- Non-Destructive Classification of Organic and Conventional Hens' Eggs Using Near-Infrared Hyperspectral Imaging.Foods (Basel, Switzerland) · 2023Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
It has been reported that some brands of roasted ground coffee, whose ingredients are labeled as 100% Arabica coffee, may also contain the cheaper Robusta coffee. Thus, the objective of this research was to test whether near-infrared spectroscopy hyperspectral imaging (NIR-HSI) or Fourier transform infrared spectroscopy (FTIRs) could be used to test whether samples of coffee were pure Arabica or whether they contained Robusta, and if so, what were the levels of Robusta they contained. Qualitative models of both the NIR-HSI and FTIRs techniques were established with support vector machine classification (SVMC). Results showed that the highest levels of accuracy in the prediction set were 98.04 and 97.06%, respectively. Quantitative models of both techniques for predicting the concentration of Robusta in the samples of Arabica with Robusta were established using support vector machine regression (SVMR), which gave the highest levels of accuracy in the prediction set with a coefficient of determination for prediction (R
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